Examples with SdmQueryGenerator io.anserini.search.query.SdmQueryGenerator used on opensource projects

Example 1 with SdmQueryGenerator

use of io.anserini.search.query.SdmQueryGenerator in project Anserini by castorini.

the class SearchCollection method searchTweets.

public <K> ScoredDocuments searchTweets(IndexSearcher searcher, K qid, String queryString, long t, RerankerCascade cascade, ScoredDocuments queryQrels, boolean hasRelDocs) throws IOException {
    Query keywordQuery;
    if (args.sdm) {
        keywordQuery = new SdmQueryGenerator(args.sdm_tw, args.sdm_ow, args.sdm_uw).buildQuery(IndexArgs.CONTENTS, analyzer, queryString);
    } else {
        try {
            QueryGenerator generator = (QueryGenerator) Class.forName("io.anserini.search.query." + args.queryGenerator).getConstructor().newInstance();
            keywordQuery = generator.buildQuery(IndexArgs.CONTENTS, analyzer, queryString);
        } catch (Exception e) {
            e.printStackTrace();
            throw new IllegalArgumentException("Unable to load QueryGenerator: " + args.topicReader);
        }
    }
    List<String> queryTokens = AnalyzerUtils.analyze(analyzer, queryString);
    // Do not consider the tweets with tweet ids that are beyond the queryTweetTime
    // <querytweettime> tag contains the timestamp of the query in terms of the
    // chronologically nearest tweet id within the corpus
    Query filter = LongPoint.newRangeQuery(TweetGenerator.TweetField.ID_LONG.name, 0L, t);
    BooleanQuery.Builder builder = new BooleanQuery.Builder();
    builder.add(filter, BooleanClause.Occur.FILTER);
    builder.add(keywordQuery, BooleanClause.Occur.MUST);
    Query compositeQuery = builder.build();
    TopDocs rs = new TopDocs(new TotalHits(0, TotalHits.Relation.EQUAL_TO), new ScoreDoc[] {});
    if (!isRerank || (args.rerankcutoff > 0 && args.rf_qrels == null) || (args.rf_qrels != null && !hasRelDocs)) {
        if (args.arbitraryScoreTieBreak) {
            // Figure out how to break the scoring ties.
            rs = searcher.search(compositeQuery, (isRerank && args.rf_qrels == null) ? args.rerankcutoff : args.hits);
        } else {
            rs = searcher.search(compositeQuery, (isRerank && args.rf_qrels == null) ? args.rerankcutoff : args.hits, BREAK_SCORE_TIES_BY_TWEETID, true);
        }
    }
    RerankerContext context = new RerankerContext<>(searcher, qid, keywordQuery, null, queryString, queryTokens, filter, args);
    ScoredDocuments scoredFbDocs;
    if (isRerank && args.rf_qrels != null) {
        if (hasRelDocs) {
            scoredFbDocs = queryQrels;
        } else {
            // if no relevant documents, only perform score based tie breaking next
            scoredFbDocs = ScoredDocuments.fromTopDocs(rs, searcher);
            cascade = new RerankerCascade();
            cascade.add(new ScoreTiesAdjusterReranker());
        }
    } else {
        scoredFbDocs = ScoredDocuments.fromTopDocs(rs, searcher);
    }
    return cascade.run(scoredFbDocs, context);
}

Example 2 with SdmQueryGenerator

use of io.anserini.search.query.SdmQueryGenerator in project Anserini by castorini.

the class SearchCollection method search.

public <K> ScoredDocuments search(IndexSearcher searcher, K qid, String queryString, RerankerCascade cascade, ScoredDocuments queryQrels, boolean hasRelDocs) throws IOException {
    Query query = null;
    if (args.sdm) {
        query = new SdmQueryGenerator(args.sdm_tw, args.sdm_ow, args.sdm_uw).buildQuery(IndexArgs.CONTENTS, analyzer, queryString);
    } else {
        QueryGenerator generator;
        try {
            generator = (QueryGenerator) Class.forName("io.anserini.search.query." + args.queryGenerator).getConstructor().newInstance();
        } catch (Exception e) {
            e.printStackTrace();
            throw new IllegalArgumentException("Unable to load QueryGenerator: " + args.topicReader);
        }
        query = generator.buildQuery(IndexArgs.CONTENTS, analyzer, queryString);
    }
    TopDocs rs = new TopDocs(new TotalHits(0, TotalHits.Relation.EQUAL_TO), new ScoreDoc[] {});
    if (!isRerank || (args.rerankcutoff > 0 && args.rf_qrels == null) || (args.rf_qrels != null && !hasRelDocs)) {
        if (args.arbitraryScoreTieBreak) {
            // Figure out how to break the scoring ties.
            rs = searcher.search(query, (isRerank && args.rf_qrels == null) ? args.rerankcutoff : args.hits);
        } else {
            rs = searcher.search(query, (isRerank && args.rf_qrels == null) ? args.rerankcutoff : args.hits, BREAK_SCORE_TIES_BY_DOCID, true);
        }
    }
    List<String> queryTokens = AnalyzerUtils.analyze(analyzer, queryString);
    queries.put(qid.toString(), queryTokens);
    RerankerContext context = new RerankerContext<>(searcher, qid, query, null, queryString, queryTokens, null, args);
    ScoredDocuments scoredFbDocs;
    if (isRerank && args.rf_qrels != null) {
        if (hasRelDocs) {
            scoredFbDocs = queryQrels;
        } else {
            // if no relevant documents, only perform score based tie breaking next
            LOG.info("No relevant documents for " + qid.toString());
            scoredFbDocs = ScoredDocuments.fromTopDocs(rs, searcher);
            cascade = new RerankerCascade();
            cascade.add(new ScoreTiesAdjusterReranker());
        }
    } else {
        scoredFbDocs = ScoredDocuments.fromTopDocs(rs, searcher);
    }
    return cascade.run(scoredFbDocs, context);
}