summarization / nicolas

Commit 7e387f1cdc557ac810c9c4118ddff9e36c78a776

Authored by Mateusz Kopeć
1 parent 2169abf8
master

training code

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Showing 25 changed files with 397 additions and 696 deletions
.gitignore
  View file @7e387f1
... ... @@ -17,4 +17,5 @@ hs_err_pid*
17 17 .idea
18 18 *.iml
19 19  
20   -/data
21 20 \ No newline at end of file
  21 +/data
  22 +/summaries
... ...
nicolas-cli/pom.xml
  View file @7e387f1
... ... @@ -53,28 +53,31 @@
53 53 <build>
54 54 <plugins>
55 55 <plugin>
  56 + <groupId>org.apache.maven.plugins</groupId>
56 57 <artifactId>maven-assembly-plugin</artifactId>
57   - <configuration>
58   - <appendAssemblyId>false</appendAssemblyId>
59   - <archive>
60   - <manifest>
61   - <mainClass>pl.waw.ipipan.zil.summ.nicolas.cli.Main</mainClass>
62   - </manifest>
63   - </archive>
64   - <descriptorRefs>
65   - <descriptorRef>jar-with-dependencies</descriptorRef>
66   - </descriptorRefs>
67   - </configuration>
68 58 <executions>
69 59 <execution>
70   - <id>make-assembly</id>
  60 + <id>jar-with-dependencies</id>
71 61 <phase>package</phase>
72 62 <goals>
73 63 <goal>single</goal>
74 64 </goals>
  65 + <configuration>
  66 + <descriptorRefs>
  67 + <descriptorRef>jar-with-dependencies</descriptorRef>
  68 + </descriptorRefs>
  69 + <appendAssemblyId>false</appendAssemblyId>
  70 + <finalName>nicolas-cli</finalName>
  71 + <archive>
  72 + <manifest>
  73 + <mainClass>pl.waw.ipipan.zil.summ.nicolas.cli.Main</mainClass>
  74 + </manifest>
  75 + </archive>
  76 + </configuration>
75 77 </execution>
76 78 </executions>
77 79 </plugin>
  80 +
78 81 </plugins>
79 82 </build>
80 83 </project>
81 84 \ No newline at end of file
... ...
nicolas-cli/src/main/java/pl/waw/ipipan/zil/summ/nicolas/cli/Cli.java
  View file @7e387f1
... ... @@ -10,18 +10,19 @@ import org.slf4j.Logger;
10 10 import org.slf4j.LoggerFactory;
11 11  
12 12 import java.io.File;
  13 +import java.io.IOException;
13 14  
14 15 class Cli {
15 16  
16 17 private static final Logger LOG = LoggerFactory.getLogger(Cli.class);
17 18  
18   - @Parameter(names = {"-help", "-h"}, description = "Print help")
  19 + @Parameter(names = {"-help", "-h"}, description = "Print help", help = true)
19 20 private boolean help = false;
20 21  
21 22 @Parameter(names = {"-input", "-i"}, description = "Input text file to summarize", required = true, validateWith = FileValidator.class, converter = FileConverter.class)
22 23 private File inputFile;
23 24  
24   - @Parameter(names = {"-output", "-o"}, description = "Output file path for summary", required = true, validateWith = FileValidator.class, converter = FileConverter.class)
  25 + @Parameter(names = {"-output", "-o"}, description = "Output file path for summary", required = true, validateWith = OutputFileValidator.class, converter = FileConverter.class)
25 26 private File outputFile;
26 27  
27 28 @Parameter(names = {"-target", "-t"}, description = "Target summary token count", required = true, validateWith = PositiveInteger.class)
... ... @@ -84,4 +85,19 @@ class Cli {
84 85 }
85 86  
86 87 }
  88 +
  89 + public static class OutputFileValidator implements IParameterValidator {
  90 +
  91 + @Override
  92 + public void validate(String name, String value) {
  93 + File file = new File(value);
  94 + try {
  95 + file.createNewFile();
  96 + } catch (IOException ex) {
  97 + throw new ParameterException("Parameter " + name
  98 + + " should be a valid file path (found " + value + ")", ex);
  99 + }
  100 + }
  101 +
  102 + }
87 103 }
... ...
nicolas-common/src/main/java/pl/waw/ipipan/zil/summ/nicolas/common/Utils.java
  View file @7e387f1
... ... @@ -182,5 +182,4 @@ public class Utils {
182 182 return sb.toString().trim();
183 183 }
184 184  
185   -
186 185 }
187 186 \ No newline at end of file
... ...
nicolas-train/pom.xml
  View file @7e387f1
... ... @@ -40,6 +40,10 @@
40 40 <groupId>pl.waw.ipipan.zil.multiservice</groupId>
41 41 <artifactId>utils</artifactId>
42 42 </dependency>
  43 + <dependency>
  44 + <groupId>pl.waw.ipipan.zil.summ</groupId>
  45 + <artifactId>eval</artifactId>
  46 + </dependency>
43 47  
44 48 <!-- third party -->
45 49 <dependency>
... ...
nicolas-train/src/main/java/pl/waw/ipipan/zil/summ/nicolas/train/Main.java 0 → 100644
  View file @7e387f1
  1 +package pl.waw.ipipan.zil.summ.nicolas.train;
  2 +
  3 +import pl.waw.ipipan.zil.summ.nicolas.train.pipeline.*;
  4 +
  5 +public class Main {
  6 +
  7 + private Main() {
  8 + }
  9 +
  10 + public static void main(String[] args) throws Exception {
  11 + DownloadCorpus.main(args);
  12 + DownloadTrainingResources.main(args);
  13 + ExtractGoldSummaries.main(args);
  14 + CreateOptimalSummaries.main(args);
  15 + PrepareTrainingData.main(args);
  16 + TrainAllModels.main(args);
  17 + }
  18 +}
... ...
nicolas-train/src/main/java/pl/waw/ipipan/zil/summ/nicolas/train/PathConstants.java 0 → 100644
  View file @7e387f1
  1 +package pl.waw.ipipan.zil.summ.nicolas.train;
  2 +
  3 +import net.lingala.zip4j.core.ZipFile;
  4 +import net.lingala.zip4j.exception.ZipException;
  5 +import org.apache.commons.io.FileUtils;
  6 +import org.slf4j.Logger;
  7 +import org.slf4j.LoggerFactory;
  8 +
  9 +import java.io.File;
  10 +import java.io.IOException;
  11 +import java.net.URL;
  12 +
  13 +public class PathConstants {
  14 +
  15 + private static final Logger LOG = LoggerFactory.getLogger(PathConstants.class);
  16 +
  17 + public static final String CORPUS_DOWNLOAD_URL = "http://zil.ipipan.waw.pl/PolishSummariesCorpus?action=AttachFile&do=get&target=PSC_1.0.zip";
  18 + public static final String PREPROCESSED_CORPUS_DOWNLOAD_URL = "http://zil.ipipan.waw.pl/Nicolas?action=AttachFile&do=get&target=all-preprocessed.zip";
  19 + public static final String SUMMARY_SENTENCE_IDS_DOWNLOAD_URL = "http://zil.ipipan.waw.pl/Nicolas?action=AttachFile&do=get&target=train-zero-sentence-ids.zip";
  20 + public static final String ZERO_TRAINING_CORPUS_URL = "http://zil.ipipan.waw.pl/Nicolas?action=AttachFile&do=get&target=train-zero.tsv";
  21 +
  22 + public static final File WORKING_DIR = new File("data");
  23 +
  24 + public static final File ZIPPED_CORPUS_FILE = new File(WORKING_DIR, "PSC_1.0.zip");
  25 + public static final File ZIPPED_PREPROCESSED_CORPUS_FILE = new File(WORKING_DIR, "all-preprocessed.zip");
  26 + public static final File ZIPPED_SUMMARY_SENTENCE_IDS_FILE = new File(WORKING_DIR, "train-zero-sentence-ids.zip");
  27 +
  28 + public static final File EXTRACTED_CORPUS_DIR = new File(WORKING_DIR, "corpus");
  29 + public static final File EXTRACTED_CORPUS_DATA_DIR = new File(new File(EXTRACTED_CORPUS_DIR, "PSC_1.0"), "data");
  30 + public static final File SUMMARY_SENTENCE_IDS_DIR = new File(WORKING_DIR, "train-zero-sentence-ids");
  31 + public static final File PREPROCESSED_CORPUS_DIR = new File(WORKING_DIR, "all-preprocessed");
  32 + public static final File GOLD_TEST_SUMMARIES_DIR = new File(WORKING_DIR, "test-gold");
  33 + public static final File GOLD_TRAIN_SUMMARIES_DIR = new File(WORKING_DIR, "train-gold");
  34 + public static final File OPTIMAL_SUMMARIES_DIR = new File(WORKING_DIR, "train-optimal");
  35 + public static final File ZERO_TRAINING_CORPUS = new File(WORKING_DIR, "train-zero.tsv");
  36 +
  37 + public static final File ARFF_DIR = new File(WORKING_DIR, "train-arff");
  38 + public static final File MENTION_ARFF = new File(ARFF_DIR, "mentions.arff");
  39 + public static final File SENTENCE_ARFF = new File(ARFF_DIR, "sentences.arff");
  40 + public static final File ZERO_ARFF = new File(ARFF_DIR, "zeros.arff");
  41 +
  42 + private PathConstants() {
  43 + }
  44 +
  45 + public static File createFolder(File folder) {
  46 + if (folder.mkdir()) {
  47 + LOG.info("Created directory at: {}.", folder.getPath());
  48 + } else {
  49 + LOG.info("Directory already present at: {}.", folder.getPath());
  50 + }
  51 + return folder;
  52 + }
  53 +
  54 + public static void downloadFile(String fileUrl, File targetFile) throws IOException {
  55 + if (!targetFile.exists()) {
  56 + LOG.info("Downloading file from url {} to file {} ...", fileUrl, targetFile);
  57 + FileUtils.copyURLToFile(new URL(fileUrl), targetFile);
  58 + LOG.info("done.");
  59 + } else {
  60 + LOG.info("File {} already downloaded.", targetFile);
  61 + }
  62 + }
  63 +
  64 + public static void downloadFileAndExtract(String url, File targetZipFile, File targetDir) throws IOException, ZipException {
  65 + downloadFile(url, targetZipFile);
  66 + extractZipFile(targetZipFile, targetDir);
  67 + }
  68 +
  69 + private static void extractZipFile(File targetZipFile, File targetDir) throws ZipException {
  70 + if (targetDir.exists()) {
  71 + LOG.info("Zip file {} already extracted to dir {}.", targetZipFile, targetDir);
  72 + } else {
  73 + createFolder(targetDir);
  74 + ZipFile zipFile = new ZipFile(targetZipFile);
  75 + zipFile.extractAll(targetDir.getPath());
  76 + LOG.info("Extracted zip file: {} to dir: {}.", targetZipFile, targetDir);
  77 + }
  78 + }
  79 +}
... ...
nicolas-train/src/main/java/pl/waw/ipipan/zil/summ/nicolas/train/model/mention/MentionScorer.java renamed to nicolas-train/src/main/java/pl/waw/ipipan/zil/summ/nicolas/train/model/MentionScorer.java
  View file @7e387f1
1   -package pl.waw.ipipan.zil.summ.nicolas.train.model.mention;
  1 +package pl.waw.ipipan.zil.summ.nicolas.train.model;
2 2  
3 3 import com.google.common.collect.HashMultiset;
4 4 import com.google.common.collect.Maps;
... ...
nicolas-train/src/main/java/pl/waw/ipipan/zil/summ/nicolas/train/model/sentence/SentenceScorer.java renamed to nicolas-train/src/main/java/pl/waw/ipipan/zil/summ/nicolas/train/model/SentenceScorer.java
  View file @7e387f1
1   -package pl.waw.ipipan.zil.summ.nicolas.train.model.sentence;
  1 +package pl.waw.ipipan.zil.summ.nicolas.train.model;
2 2  
3 3 import com.google.common.collect.HashMultiset;
4 4 import com.google.common.collect.Maps;
5 5 import com.google.common.collect.Multiset;
6   -import com.google.common.collect.Sets;
7 6 import pl.waw.ipipan.zil.multiservice.thrift.types.TParagraph;
8 7 import pl.waw.ipipan.zil.multiservice.thrift.types.TSentence;
9 8 import pl.waw.ipipan.zil.multiservice.thrift.types.TText;
... ...
nicolas-train/src/main/java/pl/waw/ipipan/zil/summ/nicolas/train/model/common/ModelConstants.java renamed to nicolas-train/src/main/java/pl/waw/ipipan/zil/summ/nicolas/train/model/Settings.java
  View file @7e387f1
1   -package pl.waw.ipipan.zil.summ.nicolas.train.model.common;
  1 +package pl.waw.ipipan.zil.summ.nicolas.train.model;
2 2  
3 3 import weka.classifiers.Classifier;
4 4 import weka.classifiers.trees.RandomForest;
5 5  
6   -public class ModelConstants {
  6 +public class Settings {
7 7  
8   - public static final String MENTION_DATASET_PATH = "data/arff/mentions_train.arff";
9   - public static final String SENTENCE_DATASET_PATH = "data/arff/sentences_train.arff";
10   - public static final String ZERO_DATASET_PATH = "data/arff/zeros_train.arff";
11   -
12   - private static final int NUM_ITERATIONS = 250;
  8 + private static final int NUM_ITERATIONS = 20;
13 9 private static final int NUM_EXECUTION_SLOTS = 8;
14 10 private static final int SEED = 0;
15 11  
16   - private ModelConstants() {
  12 + private Settings() {
17 13 }
18 14  
19 15 public static Classifier getMentionClassifier() {
... ...
nicolas-train/src/main/java/pl/waw/ipipan/zil/summ/nicolas/train/model/zero/ZeroScorer.java renamed to nicolas-train/src/main/java/pl/waw/ipipan/zil/summ/nicolas/train/model/ZeroScorer.java
  View file @7e387f1
1   -package pl.waw.ipipan.zil.summ.nicolas.train.model.zero;
  1 +package pl.waw.ipipan.zil.summ.nicolas.train.model;
2 2  
3 3 import com.google.common.collect.Maps;
4 4 import org.apache.commons.csv.CSVFormat;
... ... @@ -9,9 +9,7 @@ import pl.waw.ipipan.zil.summ.nicolas.common.Constants;
9 9 import pl.waw.ipipan.zil.summ.nicolas.features.FeatureHelper;
10 10 import pl.waw.ipipan.zil.summ.nicolas.zero.ZeroSubjectCandidate;
11 11  
12   -import java.io.IOException;
13   -import java.io.InputStream;
14   -import java.io.InputStreamReader;
  12 +import java.io.*;
15 13 import java.util.List;
16 14 import java.util.Map;
17 15  
... ... @@ -21,8 +19,8 @@ public class ZeroScorer {
21 19  
22 20 private final Map<String, Boolean> candidateEncoding2Decision = Maps.newHashMap();
23 21  
24   - public ZeroScorer(String goldZerosResourcePath) throws IOException {
25   - try (InputStream stream = ZeroScorer.class.getResourceAsStream(goldZerosResourcePath);
  22 + public ZeroScorer(File zeroTrainingCorpusFile) throws IOException {
  23 + try (InputStream stream = new FileInputStream(zeroTrainingCorpusFile);
26 24 InputStreamReader reader = new InputStreamReader(stream, Constants.ENCODING);
27 25 CSVParser parser = new CSVParser(reader, CSVFormat.DEFAULT.withDelimiter(DELIMITER).withEscape('|').withQuoteMode(QuoteMode.NONE).withQuote('~'))) {
28 26 List<CSVRecord> records = parser.getRecords();
... ...
nicolas-train/src/main/java/pl/waw/ipipan/zil/summ/nicolas/train/model/common/TrainModelCommon.java deleted
View file @2169abf
1   -package pl.waw.ipipan.zil.summ.nicolas.train.model.common;
2   -
3   -import org.apache.commons.lang3.time.StopWatch;
4   -import org.slf4j.Logger;
5   -import org.slf4j.LoggerFactory;
6   -import weka.classifiers.Classifier;
7   -import weka.core.Instances;
8   -import weka.core.converters.ArffLoader;
9   -
10   -import java.io.File;
11   -import java.io.FileOutputStream;
12   -import java.io.ObjectOutputStream;
13   -import java.util.logging.LogManager;
14   -
15   -@SuppressWarnings("squid:S2118")
16   -public class TrainModelCommon {
17   -
18   - private static final Logger LOG = LoggerFactory.getLogger(TrainModelCommon.class);
19   -
20   - private static final String TARGET_MODEL_DIR = "nicolas-model/src/main/resources";
21   -
22   - private TrainModelCommon() {
23   - }
24   -
25   - public static void trainAndSaveModel(String datasetPath, Classifier classifier, String targetPath) throws Exception {
26   - LogManager.getLogManager().reset(); // disable WEKA logging
27   -
28   - ArffLoader loader = new ArffLoader();
29   - loader.setFile(new File(datasetPath));
30   - Instances instances = loader.getDataSet();
31   - instances.setClassIndex(0);
32   - LOG.info("{} instances loaded.", instances.size());
33   - LOG.info("{} attributes for each instance.", instances.numAttributes());
34   -
35   - StopWatch watch = new StopWatch();
36   - watch.start();
37   -
38   - LOG.info("Building classifier...");
39   - classifier.buildClassifier(instances);
40   - LOG.info("...done. Build classifier: {}", classifier);
41   -
42   - String target = TARGET_MODEL_DIR + targetPath;
43   - LOG.info("Saving classifier at: {}", target);
44   - try (ObjectOutputStream oos = new ObjectOutputStream(
45   - new FileOutputStream(target))) {
46   - oos.writeObject(classifier);
47   - }
48   -
49   - watch.stop();
50   - LOG.info("Elapsed time: {}", watch);
51   - }
52   -}
nicolas-train/src/main/java/pl/waw/ipipan/zil/summ/nicolas/train/model/mention/TrainMentionModel.java deleted
View file @2169abf
1   -package pl.waw.ipipan.zil.summ.nicolas.train.model.mention;
2   -
3   -import pl.waw.ipipan.zil.summ.nicolas.common.Constants;
4   -import pl.waw.ipipan.zil.summ.nicolas.train.model.common.ModelConstants;
5   -import pl.waw.ipipan.zil.summ.nicolas.train.model.common.TrainModelCommon;
6   -import weka.classifiers.Classifier;
7   -
8   -public class TrainMentionModel {
9   -
10   - private TrainMentionModel() {
11   - }
12   -
13   - public static void main(String[] args) throws Exception {
14   - Classifier classifier = ModelConstants.getMentionClassifier();
15   - String datasetPath = ModelConstants.MENTION_DATASET_PATH;
16   - String targetPath = Constants.MENTION_MODEL_RESOURCE_PATH;
17   - TrainModelCommon.trainAndSaveModel(datasetPath, classifier, targetPath);
18   - }
19   -
20   -}
nicolas-train/src/main/java/pl/waw/ipipan/zil/summ/nicolas/train/model/sentence/TrainSentenceModel.java deleted
View file @2169abf
1   -package pl.waw.ipipan.zil.summ.nicolas.train.model.sentence;
2   -
3   -import pl.waw.ipipan.zil.summ.nicolas.common.Constants;
4   -import pl.waw.ipipan.zil.summ.nicolas.train.model.common.ModelConstants;
5   -import pl.waw.ipipan.zil.summ.nicolas.train.model.common.TrainModelCommon;
6   -import weka.classifiers.Classifier;
7   -
8   -public class TrainSentenceModel {
9   -
10   - private TrainSentenceModel() {
11   - }
12   -
13   - public static void main(String[] args) throws Exception {
14   - Classifier classifier = ModelConstants.getSentenceClassifier();
15   - String datasetPath = ModelConstants.SENTENCE_DATASET_PATH;
16   - String targetPath = Constants.SENTENCE_MODEL_RESOURCE_PATH;
17   - TrainModelCommon.trainAndSaveModel(datasetPath, classifier, targetPath);
18   - }
19   -
20   -}
nicolas-train/src/main/java/pl/waw/ipipan/zil/summ/nicolas/train/model/zero/TrainZeroModel.java deleted
View file @2169abf
1   -package pl.waw.ipipan.zil.summ.nicolas.train.model.zero;
2   -
3   -import pl.waw.ipipan.zil.summ.nicolas.common.Constants;
4   -import pl.waw.ipipan.zil.summ.nicolas.train.model.common.ModelConstants;
5   -import pl.waw.ipipan.zil.summ.nicolas.train.model.common.TrainModelCommon;
6   -import weka.classifiers.Classifier;
7   -
8   -public class TrainZeroModel {
9   -
10   - private TrainZeroModel() {
11   - }
12   -
13   - public static void main(String[] args) throws Exception {
14   - Classifier classifier = ModelConstants.getZeroClassifier();
15   - String datasetPath = ModelConstants.ZERO_DATASET_PATH;
16   - String targetPath = Constants.ZERO_MODEL_RESOURCE_PATH;
17   - TrainModelCommon.trainAndSaveModel(datasetPath, classifier, targetPath);
18   - }
19   -
20   -}
nicolas-train/src/main/java/pl/waw/ipipan/zil/summ/nicolas/train/pipeline/CreateOptimalSummaries.java 0 → 100644
  View file @7e387f1
  1 +package pl.waw.ipipan.zil.summ.nicolas.train.pipeline;
  2 +
  3 +
  4 +import com.google.common.collect.HashMultiset;
  5 +import com.google.common.collect.Lists;
  6 +import com.google.common.collect.Maps;
  7 +import com.google.common.collect.Multiset;
  8 +import org.apache.commons.io.FileUtils;
  9 +import pl.waw.ipipan.zil.summ.eval.Main;
  10 +import pl.waw.ipipan.zil.summ.eval.rouge.RougeN;
  11 +import pl.waw.ipipan.zil.summ.nicolas.common.Constants;
  12 +
  13 +import java.io.File;
  14 +import java.io.IOException;
  15 +import java.util.*;
  16 +import java.util.stream.Collectors;
  17 +
  18 +import static pl.waw.ipipan.zil.summ.nicolas.train.PathConstants.*;
  19 +
  20 +public class CreateOptimalSummaries {
  21 +
  22 + private static final int ROUGE_N = 1;
  23 + private static final String SUMMARY_SUFFIX = "_optimal.txt";
  24 +
  25 + private CreateOptimalSummaries() {
  26 + }
  27 +
  28 + public static void main(String[] args) throws IOException {
  29 + createFolder(OPTIMAL_SUMMARIES_DIR);
  30 + Map<String, Set<File>> id2goldSummaryFiles = Main.loadFiles(GOLD_TRAIN_SUMMARIES_DIR);
  31 + createUpperBoundSummaries(id2goldSummaryFiles, OPTIMAL_SUMMARIES_DIR);
  32 + }
  33 +
  34 + private static void createUpperBoundSummaries(Map<String, Set<File>> id2goldSummaryFiles, File targetDir)
  35 + throws IOException {
  36 + for (Map.Entry<String, Set<File>> entry : id2goldSummaryFiles.entrySet()) {
  37 + String id = entry.getKey();
  38 + Set<File> goldSummaryFiles = entry.getValue();
  39 + Set<String> goldSummaries = goldSummaryFiles.stream().map(Main::loadSummaryFromFile)
  40 + .collect(Collectors.toSet());
  41 + int averageGoldWordCount = (int) goldSummaries.stream().mapToDouble(s -> RougeN.tokenize(s).size())
  42 + .average().orElse(0);
  43 + String optimalSummary = createOptimalSummary(goldSummaries, ROUGE_N, averageGoldWordCount);
  44 + File targetFile = new File(targetDir, id + SUMMARY_SUFFIX);
  45 + FileUtils.writeStringToFile(targetFile, optimalSummary, Constants.ENCODING);
  46 + }
  47 + }
  48 +
  49 + private static String createOptimalSummary(Set<String> goldSummaries, int i, int averageGoldWordCount) {
  50 + Map<List<String>, List<Integer>> ngram2counts = Maps.newHashMap();
  51 + for (String goldSummary : goldSummaries) {
  52 + Multiset<List<String>> goldNgrams = HashMultiset.create();
  53 + RougeN.countNgrams(goldNgrams, i, goldSummary);
  54 + for (List<String> ngram : goldNgrams.elementSet()) {
  55 + ngram2counts.putIfAbsent(ngram, Lists.newArrayList());
  56 + ngram2counts.get(ngram).add(goldNgrams.count(ngram));
  57 + }
  58 + }
  59 +
  60 + int summaryWordCount = 0;
  61 + StringBuilder summary = new StringBuilder();
  62 + while (averageGoldWordCount >= summaryWordCount) {
  63 + List<String> ngram = pickBestNgram(ngram2counts);
  64 + summary.append(" ").append(String.join(" ", ngram));
  65 + summaryWordCount += ngram.size();
  66 + }
  67 + return summary.toString().trim();
  68 + }
  69 +
  70 + private static List<String> pickBestNgram(Map<List<String>, List<Integer>> ngram2counts) {
  71 + Optional<List<String>> optional = ngram2counts.keySet().stream()
  72 + .sorted(Comparator.comparing((List<String> ngram) -> ngram2counts.get(ngram).size()).reversed()).findFirst();
  73 + if (!optional.isPresent()) {
  74 + throw new IllegalArgumentException("No more ngrams to pick!");
  75 + }
  76 + List<String> optimalNgram = optional.get();
  77 + List<Integer> counts = ngram2counts.get(optimalNgram);
  78 + List<Integer> newCounts = Lists.newArrayList();
  79 + for (Integer c : counts)
  80 + if (c > 1)
  81 + newCounts.add(c - 1);
  82 + if (newCounts.isEmpty())
  83 + ngram2counts.remove(optimalNgram);
  84 + else
  85 + ngram2counts.put(optimalNgram, newCounts);
  86 + return optimalNgram;
  87 + }
  88 +}
... ...
nicolas-train/src/main/java/pl/waw/ipipan/zil/summ/nicolas/train/pipeline/DownloadAndPreprocessCorpus.java deleted
View file @2169abf
1   -package pl.waw.ipipan.zil.summ.nicolas.train.pipeline;
2   -
3   -import net.lingala.zip4j.core.ZipFile;
4   -import org.apache.commons.io.FileUtils;
5   -import org.slf4j.Logger;
6   -import org.slf4j.LoggerFactory;
7   -
8   -import java.io.File;
9   -import java.net.URL;
10   -
11   -public class DownloadAndPreprocessCorpus {
12   -
13   - private static final Logger LOG = LoggerFactory.getLogger(DownloadAndPreprocessCorpus.class);
14   -
15   - private static final String WORKING_DIR = "data";
16   - private static final String CORPUS_DOWNLOAD_URL = "http://zil.ipipan.waw.pl/PolishSummariesCorpus?action=AttachFile&do=get&target=PSC_1.0.zip";
17   -
18   - private DownloadAndPreprocessCorpus() {
19   - }
20   -
21   - public static void main(String[] args) throws Exception {
22   - File workDir = createFolder(WORKING_DIR);
23   -
24   - File corpusFile = new File(workDir, "corpus.zip");
25   - if (!corpusFile.exists()) {
26   - LOG.info("Downloading corpus file...");
27   - FileUtils.copyURLToFile(new URL(CORPUS_DOWNLOAD_URL), corpusFile);
28   - LOG.info("done.");
29   - } else {
30   - LOG.info("Corpus file already downloaded.");
31   - }
32   -
33   - File extractedCorpusDir = new File(workDir, "corpus");
34   - if (extractedCorpusDir.exists()) {
35   - LOG.info("Corpus file already extracted.");
36   - } else {
37   - ZipFile zipFile = new ZipFile(corpusFile);
38   - zipFile.extractAll(extractedCorpusDir.getPath());
39   - LOG.info("Extracted corpus file.");
40   - }
41   -
42   - File pscDir = new File(extractedCorpusDir, "PSC_1.0");
43   - File dataDir = new File(pscDir, "data");
44   -
45   - File preprocessed = new File(WORKING_DIR, "preprocessed");
46   - createFolder(preprocessed.getPath());
47   - Preprocess.main(new String[]{dataDir.getPath(), preprocessed.getPath()});
48   - }
49   -
50   - private static File createFolder(String path) {
51   - File folder = new File(path);
52   - if (folder.mkdir()) {
53   - LOG.info("Created directory at: {}.", path);
54   - } else {
55   - LOG.info("Directory already present at: {}.", path);
56   - }
57   - return folder;
58   - }
59   -}
nicolas-train/src/main/java/pl/waw/ipipan/zil/summ/nicolas/train/pipeline/DownloadCorpus.java 0 → 100644
  View file @7e387f1
  1 +package pl.waw.ipipan.zil.summ.nicolas.train.pipeline;
  2 +
  3 +import static pl.waw.ipipan.zil.summ.nicolas.train.PathConstants.*;
  4 +
  5 +public class DownloadCorpus {
  6 +
  7 + private DownloadCorpus() {
  8 + }
  9 +
  10 + public static void main(String[] args) throws Exception {
  11 + createFolder(WORKING_DIR);
  12 + downloadFileAndExtract(CORPUS_DOWNLOAD_URL, ZIPPED_CORPUS_FILE, EXTRACTED_CORPUS_DIR);
  13 + }
  14 +
  15 +}
... ...
nicolas-train/src/main/java/pl/waw/ipipan/zil/summ/nicolas/train/pipeline/DownloadTrainingResources.java 0 → 100644
  View file @7e387f1
  1 +package pl.waw.ipipan.zil.summ.nicolas.train.pipeline;
  2 +
  3 +import static pl.waw.ipipan.zil.summ.nicolas.train.PathConstants.*;
  4 +
  5 +public class DownloadTrainingResources {
  6 +
  7 + private DownloadTrainingResources() {
  8 + }
  9 +
  10 + public static void main(String[] args) throws Exception {
  11 + createFolder(WORKING_DIR);
  12 + downloadFileAndExtract(PREPROCESSED_CORPUS_DOWNLOAD_URL, ZIPPED_PREPROCESSED_CORPUS_FILE, PREPROCESSED_CORPUS_DIR);
  13 + downloadFileAndExtract(SUMMARY_SENTENCE_IDS_DOWNLOAD_URL, ZIPPED_SUMMARY_SENTENCE_IDS_FILE, SUMMARY_SENTENCE_IDS_DIR);
  14 + downloadFile(ZERO_TRAINING_CORPUS_URL, ZERO_TRAINING_CORPUS);
  15 + }
  16 +
  17 +
  18 +}
... ...
nicolas-eval/src/main/java/pl/waw/ipipan/zil/summ/nicolas/eval/ExtractGoldSummaries.java renamed to nicolas-train/src/main/java/pl/waw/ipipan/zil/summ/nicolas/train/pipeline/ExtractGoldSummaries.java
  View file @7e387f1
1   -package pl.waw.ipipan.zil.summ.nicolas.eval;
  1 +package pl.waw.ipipan.zil.summ.nicolas.train.pipeline;
2 2  
3 3 import pl.waw.ipipan.zil.summ.nicolas.common.Utils;
4 4 import pl.waw.ipipan.zil.summ.pscapi.io.PSC_IO;
... ... @@ -9,32 +9,43 @@ import javax.xml.bind.JAXBException;
9 9 import java.io.File;
10 10 import java.io.IOException;
11 11 import java.util.List;
12   -import java.util.Set;
  12 +import java.util.function.Predicate;
13 13 import java.util.stream.Collectors;
  14 +import java.util.stream.Stream;
14 15  
15   -import static pl.waw.ipipan.zil.summ.nicolas.eval.Constants.loadTestTextIds;
  16 +import static pl.waw.ipipan.zil.summ.nicolas.train.PathConstants.*;
16 17  
17 18 public class ExtractGoldSummaries {
18 19  
  20 + private static final String ABSTRACT_SUMMARY_TYPE = "abstract";
  21 + private static final int SUMMARY_RATIO = 20;
  22 +
  23 + private static final Predicate<Text> IS_TEST = text -> text.getSummaries().getSummary().stream().anyMatch(summary -> summary.getType().equals(ABSTRACT_SUMMARY_TYPE));
  24 +
  25 +
19 26 private ExtractGoldSummaries() {
20 27 }
21 28  
22 29 public static void main(String[] args) throws IOException, JAXBException {
23   - File corpusDir = new File("data/corpus/PSC_1.0/data");
24   - File targetDir = new File("data/summaries-gold");
25   - targetDir.mkdir();
  30 + createFolder(GOLD_TEST_SUMMARIES_DIR);
  31 + createFolder(GOLD_TRAIN_SUMMARIES_DIR);
26 32  
27   - Set<String> testTextIds = loadTestTextIds();
28   - File[] files = corpusDir.listFiles();
  33 + File[] files = EXTRACTED_CORPUS_DATA_DIR.listFiles();
29 34 if (files != null) {
30 35 for (File file : files) {
31 36 Text text = PSC_IO.readText(file);
32   - if (!testTextIds.contains(text.getId()))
33   - continue;
34 37  
35   - List<Summary> goldSummaries = text.getSummaries().getSummary().stream().filter(summary -> summary.getType().equals("abstract") && summary.getRatio().equals(20)).collect(Collectors.toList());
  38 + List<Summary> goldSummaries;
  39 + Stream<Summary> stream = text.getSummaries().getSummary().stream();
  40 + boolean isTest = IS_TEST.test(text);
  41 + if (isTest) {
  42 + goldSummaries = stream.filter(summary -> summary.getType().equals(ABSTRACT_SUMMARY_TYPE) && summary.getRatio().equals(SUMMARY_RATIO)).collect(Collectors.toList());
  43 + } else {
  44 + goldSummaries = stream.filter(summary -> !summary.getType().equals(ABSTRACT_SUMMARY_TYPE) && summary.getRatio().equals(SUMMARY_RATIO)).collect(Collectors.toList());
  45 + }
36 46  
37 47 for (Summary summary : goldSummaries) {
  48 + File targetDir = isTest ? GOLD_TEST_SUMMARIES_DIR : GOLD_TRAIN_SUMMARIES_DIR;
38 49 File targetFile = new File(targetDir, text.getId() + "_" + summary.getAuthor() + ".txt");
39 50 Utils.writeStringToFile(summary.getBody(), targetFile);
40 51 }
... ...
nicolas-train/src/main/java/pl/waw/ipipan/zil/summ/nicolas/train/pipeline/PrepareTrainingData.java
  View file @7e387f1
... ... @@ -11,22 +11,18 @@ import pl.waw.ipipan.zil.multiservice.thrift.types.TMention;
11 11 import pl.waw.ipipan.zil.multiservice.thrift.types.TSentence;
12 12 import pl.waw.ipipan.zil.multiservice.thrift.types.TText;
13 13 import pl.waw.ipipan.zil.summ.nicolas.InstanceUtils;
14   -import pl.waw.ipipan.zil.summ.nicolas.common.Constants;
15 14 import pl.waw.ipipan.zil.summ.nicolas.common.ThriftUtils;
16 15 import pl.waw.ipipan.zil.summ.nicolas.common.Utils;
17 16 import pl.waw.ipipan.zil.summ.nicolas.features.FeatureHelper;
18 17 import pl.waw.ipipan.zil.summ.nicolas.mention.MentionFeatureExtractor;
19   -import pl.waw.ipipan.zil.summ.nicolas.mention.MentionModel;
20 18 import pl.waw.ipipan.zil.summ.nicolas.sentence.SentenceFeatureExtractor;
21   -import pl.waw.ipipan.zil.summ.nicolas.train.model.common.ModelConstants;
22   -import pl.waw.ipipan.zil.summ.nicolas.train.model.mention.MentionScorer;
23   -import pl.waw.ipipan.zil.summ.nicolas.train.model.sentence.SentenceScorer;
24   -import pl.waw.ipipan.zil.summ.nicolas.train.model.zero.ZeroScorer;
  19 +import pl.waw.ipipan.zil.summ.nicolas.train.model.MentionScorer;
  20 +import pl.waw.ipipan.zil.summ.nicolas.train.model.SentenceScorer;
  21 +import pl.waw.ipipan.zil.summ.nicolas.train.model.ZeroScorer;
25 22 import pl.waw.ipipan.zil.summ.nicolas.zero.CandidateFinder;
26 23 import pl.waw.ipipan.zil.summ.nicolas.zero.InstanceCreator;
27 24 import pl.waw.ipipan.zil.summ.nicolas.zero.ZeroFeatureExtractor;
28 25 import pl.waw.ipipan.zil.summ.nicolas.zero.ZeroSubjectCandidate;
29   -import weka.classifiers.Classifier;
30 26 import weka.core.Instance;
31 27 import weka.core.Instances;
32 28 import weka.core.converters.ArffSaver;
... ... @@ -34,31 +30,26 @@ import weka.core.converters.ArffSaver;
34 30 import java.io.File;
35 31 import java.io.FileReader;
36 32 import java.io.IOException;
37   -import java.io.InputStream;
  33 +import java.util.Arrays;
38 34 import java.util.List;
39 35 import java.util.Map;
40 36 import java.util.Set;
41 37 import java.util.function.Predicate;
42 38 import java.util.stream.Collectors;
43 39  
  40 +import static pl.waw.ipipan.zil.summ.nicolas.train.PathConstants.*;
  41 +
44 42 public class PrepareTrainingData {
45 43  
46 44 private static final Logger LOG = LoggerFactory.getLogger(PrepareTrainingData.class);
47 45  
48   - private static final String THRIFT_TEXTS_PATH = "data/preprocessed";
49   - private static final String OPTIMAL_SUMMARIES_DIR_PATH = "data/summaries-optimal";
50   - private static final String SUMMARY_SENTENCE_IDS = "data/summaries-sentence-ids";
51   -
52   - private static final String ZERO_TRAINING_DATA_RESOURCE_PATH = "/pl/waw/ipipan/zil/summ/nicolas/train/train_zero.tsv";
53   - private static final String TRAIN_TEXT_IDS_RESOURCE_PATH = "/pl/waw/ipipan/zil/summ/nicolas/train/train_text_ids.txt";
54   -
55 46 private PrepareTrainingData() {
56 47 }
57 48  
58 49 public static void main(String[] args) throws Exception {
59 50 Set<String> trainTextIds = loadTrainTextIds();
60 51  
61   - Map<String, TText> id2preprocessedText = ThriftUtils.loadThriftTextsFromFolder(new File(THRIFT_TEXTS_PATH), trainTextIds::contains);
  52 + Map<String, TText> id2preprocessedText = ThriftUtils.loadThriftTextsFromFolder(PREPROCESSED_CORPUS_DIR, trainTextIds::contains);
62 53 Map<String, String> id2optimalSummary = loadOptimalSummaries(trainTextIds::contains);
63 54  
64 55 prepareMentionsDataset(id2preprocessedText, id2optimalSummary);
... ... @@ -66,7 +57,7 @@ public class PrepareTrainingData {
66 57 prepareZerosDataset(id2preprocessedText);
67 58 }
68 59  
69   - public static void prepareMentionsDataset(Map<String, TText> id2preprocessedText, Map<String, String> id2optimalSummary) throws IOException {
  60 + private static void prepareMentionsDataset(Map<String, TText> id2preprocessedText, Map<String, String> id2optimalSummary) throws IOException {
70 61 MentionScorer mentionScorer = new MentionScorer();
71 62 MentionFeatureExtractor featureExtractor = new MentionFeatureExtractor();
72 63  
... ... @@ -74,7 +65,7 @@ public class PrepareTrainingData {
74 65  
75 66 int i = 1;
76 67 for (Map.Entry<String, TText> entry : id2preprocessedText.entrySet()) {
77   - LOG.info("{}/{}", i++, id2preprocessedText.size());
  68 + logProgress(id2preprocessedText, i++);
78 69  
79 70 String id = entry.getKey();
80 71 TText preprocessedText = entry.getValue();
... ... @@ -92,29 +83,33 @@ public class PrepareTrainingData {
92 83 instances.add(instance);
93 84 }
94 85 }
95   - saveInstancesToFile(instances, new File(ModelConstants.MENTION_DATASET_PATH));
  86 + saveInstancesToFile(instances, MENTION_ARFF);
96 87 }
97 88  
98   - private static Set<String> loadTrainTextIds() throws IOException {
99   - try (InputStream inputStream = PrepareTrainingData.class.getResourceAsStream(TRAIN_TEXT_IDS_RESOURCE_PATH)) {
100   - List<String> testTextIds = IOUtils.readLines(inputStream, Constants.ENCODING);
101   - return testTextIds.stream().map(String::trim).collect(Collectors.toSet());
  89 + private static void logProgress(Map<String, TText> id2preprocessedText, int i) {
  90 + if (i % 10 == 0) {
  91 + LOG.info("{}/{}", i, id2preprocessedText.size());
102 92 }
103 93 }
104 94  
105   - public static void prepareSentencesDataset(Map<String, TText> id2preprocessedText, Map<String, String> id2optimalSummary) throws Exception {
  95 + private static Set<String> loadTrainTextIds() throws IOException {
  96 + File[] optimalSummaries = OPTIMAL_SUMMARIES_DIR.listFiles();
  97 + if (optimalSummaries == null)
  98 + throw new IOException("No optimal summaries at " + OPTIMAL_SUMMARIES_DIR);
  99 +
  100 + return Arrays.stream(optimalSummaries).map(file -> file.getName().split("_")[0]).collect(Collectors.toSet());
  101 + }
  102 +
  103 + private static void prepareSentencesDataset(Map<String, TText> id2preprocessedText, Map<String, String> id2optimalSummary) throws Exception {
106 104  
107 105 SentenceScorer sentenceScorer = new SentenceScorer();
108 106 SentenceFeatureExtractor featureExtractor = new SentenceFeatureExtractor();
109 107  
110 108 Instances instances = Utils.createNewInstances(featureExtractor.getAttributesList());
111 109  
112   - Classifier classifier = Utils.loadClassifierFromResource(Constants.MENTION_MODEL_RESOURCE_PATH);
113   - MentionFeatureExtractor mentionFeatureExtractor = new MentionFeatureExtractor();
114   -
115 110 int i = 1;
116 111 for (String textId : id2preprocessedText.keySet()) {
117   - LOG.info("{}/{}", i++, id2preprocessedText.size());
  112 + logProgress(id2preprocessedText, i++);
118 113  
119 114 TText preprocessedText = id2preprocessedText.get(textId);
120 115 String optimalSummary = id2optimalSummary.get(textId);
... ... @@ -123,9 +118,7 @@ public class PrepareTrainingData {
123 118 Map<TSentence, Double> sentence2score = sentenceScorer.calculateSentenceScores(optimalSummary, preprocessedText);
124 119  
125 120 Set<TMention> goodMentions
126   - = MentionModel.detectGoodMentions(classifier, mentionFeatureExtractor, preprocessedText);
127   -// Set<TMention> goodMentions
128   -// = Utils.loadGoldGoodMentions(textId, preprocessedText, true);
  121 + = loadGoldGoodMentions(textId, preprocessedText, id2optimalSummary);
129 122  
130 123 Map<TSentence, Instance> sentence2instance = InstanceUtils.extractInstancesFromSentences(preprocessedText, featureExtractor, goodMentions);
131 124 for (Map.Entry<TSentence, Instance> entry : sentence2instance.entrySet()) {
... ... @@ -136,21 +129,31 @@ public class PrepareTrainingData {
136 129 instances.add(instance);
137 130 }
138 131 }
139   - saveInstancesToFile(instances, new File(ModelConstants.SENTENCE_DATASET_PATH));
  132 + saveInstancesToFile(instances, SENTENCE_ARFF);
  133 + }
  134 +
  135 + private static Set<TMention> loadGoldGoodMentions(String id, TText text, Map<String, String> id2optimalSummary) throws IOException {
  136 + String optimalSummary = id2optimalSummary.get(id);
  137 +
  138 + MentionScorer scorer = new MentionScorer();
  139 + Map<TMention, Double> mention2score = scorer.calculateMentionScores(optimalSummary, text);
  140 +
  141 + mention2score.keySet().removeIf(tMention -> mention2score.get(tMention) < 1);
  142 + return mention2score.keySet();
140 143 }
141 144  
142   - public static void prepareZerosDataset(Map<String, TText> id2preprocessedText) throws IOException {
  145 + private static void prepareZerosDataset(Map<String, TText> id2preprocessedText) throws IOException {
143 146  
144   - Map<String, Set<String>> id2sentIds = loadSentenceIds(SUMMARY_SENTENCE_IDS);
  147 + Map<String, Set<String>> id2sentIds = loadSentenceIds(SUMMARY_SENTENCE_IDS_DIR);
145 148  
146   - ZeroScorer zeroScorer = new ZeroScorer(ZERO_TRAINING_DATA_RESOURCE_PATH);
  149 + ZeroScorer zeroScorer = new ZeroScorer(ZERO_TRAINING_CORPUS);
147 150 ZeroFeatureExtractor featureExtractor = new ZeroFeatureExtractor();
148 151  
149 152 Instances instances = Utils.createNewInstances(featureExtractor.getAttributesList());
150 153  
151 154 int i = 1;
152 155 for (Map.Entry<String, TText> entry : id2preprocessedText.entrySet()) {
153   - LOG.info(i++ + "/" + id2preprocessedText.size());
  156 + logProgress(id2preprocessedText, i++);
154 157  
155 158 String textId = entry.getKey();
156 159  
... ... @@ -170,12 +173,12 @@ public class PrepareTrainingData {
170 173 }
171 174 }
172 175  
173   - saveInstancesToFile(instances, new File(ModelConstants.ZERO_DATASET_PATH));
  176 + saveInstancesToFile(instances, ZERO_ARFF);
174 177 }
175 178  
176   - private static Map<String, Set<String>> loadSentenceIds(String idsPath) throws IOException {
  179 + private static Map<String, Set<String>> loadSentenceIds(File idsFolder) throws IOException {
177 180 Map<String, Set<String>> result = Maps.newHashMap();
178   - File[] files = new File(idsPath).listFiles();
  181 + File[] files = idsFolder.listFiles();
179 182 if (files != null)
180 183 for (File f : files) {
181 184 String id = f.getName().split("_")[0];
... ... @@ -194,7 +197,7 @@ public class PrepareTrainingData {
194 197  
195 198 private static Map<String, String> loadOptimalSummaries(Predicate<String> idFilter) throws IOException {
196 199 Map<String, String> id2optimalSummary = Maps.newHashMap();
197   - File[] files = new File(OPTIMAL_SUMMARIES_DIR_PATH).listFiles();
  200 + File[] files = OPTIMAL_SUMMARIES_DIR.listFiles();
198 201 if (files != null)
199 202 for (File optimalSummaryFile : files) {
200 203 String textId = optimalSummaryFile.getName().split("_")[0];
... ...
nicolas-train/src/main/java/pl/waw/ipipan/zil/summ/nicolas/train/pipeline/Preprocess.java renamed to nicolas-train/src/main/java/pl/waw/ipipan/zil/summ/nicolas/train/pipeline/PreprocessCorpus.java
  View file @7e387f1
... ... @@ -9,37 +9,27 @@ import pl.waw.ipipan.zil.summ.pscapi.xml.Text;
9 9 import java.io.File;
10 10 import java.util.Arrays;
11 11  
12   -public class Preprocess {
  12 +import static pl.waw.ipipan.zil.summ.nicolas.train.PathConstants.*;
13 13  
14   - private static final Logger LOG = LoggerFactory.getLogger(Preprocess.class);
  14 +public class PreprocessCorpus {
  15 +
  16 + private static final Logger LOG = LoggerFactory.getLogger(PreprocessCorpus.class);
15 17  
16 18 private static final String CORPUS_FILE_SUFFIX = ".xml";
17 19 private static final String OUTPUT_FILE_SUFFIX = ".thrift";
18 20  
19   - private Preprocess() {
  21 + private PreprocessCorpus() {
20 22 }
21 23  
22 24 public static void main(String[] args) {
23   - if (args.length != 2) {
24   - LOG.error("Wrong usage! Try " + Preprocess.class.getSimpleName() + " dirWithCorpusFiles targetDir");
25   - return;
26   - }
27   - File corpusDir = new File(args[0]);
28   - if (!corpusDir.isDirectory()) {
29   - LOG.error("Corpus directory does not exist: {}", corpusDir);
30   - return;
31   - }
32   - File targetDir = new File(args[1]);
33   - if (!targetDir.isDirectory()) {
34   - LOG.error("Target directory does not exist: {}", targetDir);
35   - return;
36   - }
  25 +
  26 + createFolder(PREPROCESSED_CORPUS_DIR);
37 27  
38 28 int ok = 0;
39 29 int err = 0;
40   - File[] files = corpusDir.listFiles(f -> f.getName().endsWith(CORPUS_FILE_SUFFIX));
  30 + File[] files = EXTRACTED_CORPUS_DATA_DIR.listFiles(f -> f.getName().endsWith(CORPUS_FILE_SUFFIX));
41 31 if (files == null || files.length == 0) {
42   - LOG.error("No corpus files found at: {}", corpusDir);
  32 + LOG.error("No corpus files found at: {}", EXTRACTED_CORPUS_DATA_DIR);
43 33 return;
44 34 }
45 35 Arrays.sort(files);
... ... @@ -49,7 +39,7 @@ public class Preprocess {
49 39 for (File file : files) {
50 40 try {
51 41 Text text = PSC_IO.readText(file);
52   - File targetFile = new File(targetDir, file.getName().replaceFirst(CORPUS_FILE_SUFFIX + "$", OUTPUT_FILE_SUFFIX));
  42 + File targetFile = new File(PREPROCESSED_CORPUS_DIR, file.getName().replaceFirst(CORPUS_FILE_SUFFIX + "$", OUTPUT_FILE_SUFFIX));
53 43 processor.preprocessToFile(text.getBody(), targetFile);
54 44 ok++;
55 45 } catch (Exception e) {
... ...
nicolas-train/src/main/java/pl/waw/ipipan/zil/summ/nicolas/train/pipeline/TrainAllModels.java
  View file @7e387f1
1 1 package pl.waw.ipipan.zil.summ.nicolas.train.pipeline;
2 2  
3   -import pl.waw.ipipan.zil.summ.nicolas.train.model.mention.TrainMentionModel;
4   -import pl.waw.ipipan.zil.summ.nicolas.train.model.sentence.TrainSentenceModel;
5   -import pl.waw.ipipan.zil.summ.nicolas.train.model.zero.TrainZeroModel;
  3 +import org.apache.commons.lang3.time.StopWatch;
  4 +import org.slf4j.Logger;
  5 +import org.slf4j.LoggerFactory;
  6 +import pl.waw.ipipan.zil.summ.nicolas.common.Constants;
  7 +import pl.waw.ipipan.zil.summ.nicolas.train.model.Settings;
  8 +import weka.classifiers.Classifier;
  9 +import weka.core.Instances;
  10 +import weka.core.converters.ArffLoader;
  11 +
  12 +import java.io.File;
  13 +import java.io.FileOutputStream;
  14 +import java.io.ObjectOutputStream;
  15 +import java.util.logging.LogManager;
  16 +
  17 +import static pl.waw.ipipan.zil.summ.nicolas.train.PathConstants.*;
6 18  
7 19 public class TrainAllModels {
8 20  
  21 + private static final Logger LOG = LoggerFactory.getLogger(TrainAllModels.class);
  22 +
  23 + private static final String TARGET_MODEL_DIR = "nicolas-model/src/main/resources";
  24 +
9 25 private TrainAllModels() {
10 26 }
11 27  
12 28 public static void main(String[] args) throws Exception {
13   - TrainMentionModel.main(args);
14   - TrainSentenceModel.main(args);
15   - TrainZeroModel.main(args);
  29 + trainAndSaveModel(MENTION_ARFF, Settings.getMentionClassifier(), Constants.MENTION_MODEL_RESOURCE_PATH);
  30 + trainAndSaveModel(SENTENCE_ARFF, Settings.getSentenceClassifier(), Constants.SENTENCE_MODEL_RESOURCE_PATH);
  31 + trainAndSaveModel(ZERO_ARFF, Settings.getZeroClassifier(), Constants.ZERO_MODEL_RESOURCE_PATH);
  32 + }
  33 +
  34 + private static void trainAndSaveModel(File dataset, Classifier classifier, String targetPath) throws Exception {
  35 + LogManager.getLogManager().reset(); // disable WEKA logging
  36 +
  37 + ArffLoader loader = new ArffLoader();
  38 + loader.setFile(dataset);
  39 + Instances instances = loader.getDataSet();
  40 + instances.setClassIndex(0);
  41 + LOG.info("{} instances loaded.", instances.size());
  42 + LOG.info("{} attributes for each instance.", instances.numAttributes());
  43 +
  44 + StopWatch watch = new StopWatch();
  45 + watch.start();
  46 +
  47 + LOG.info("Building classifier...");
  48 + classifier.buildClassifier(instances);
  49 + LOG.info("...done. Build classifier: {}", classifier);
  50 +
  51 + String target = TARGET_MODEL_DIR + targetPath;
  52 + LOG.info("Saving classifier at: {}", target);
  53 + try (ObjectOutputStream oos = new ObjectOutputStream(
  54 + new FileOutputStream(target))) {
  55 + oos.writeObject(classifier);
  56 + }
  57 +
  58 + watch.stop();
  59 + LOG.info("Elapsed time: {}", watch);
16 60 }
17 61 }
... ...
nicolas-train/src/main/resources/pl/waw/ipipan/zil/summ/nicolas/train/train_text_ids.txt deleted
View file @2169abf
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train.sh 0 → 100755
  View file @7e387f1
  1 +#!/usr/bin/env bash
  2 +
  3 +mvn clean install -Dmaven.test.skip=true
  4 +mvn -pl nicolas-train exec:java -Dexec.mainClass="pl.waw.ipipan.zil.summ.nicolas.train.Main"
  5 +mvn install -Dmaven.test.skip=true
... ...