protected double semanticSimilarityVW(
Counter<String> features, String prefix, Sentence candidate1, Sentence candidate2) {
double[] v1 = embeddings.get(candidate1);
double[] v2 = embeddings.get(candidate2);
double sim = Util.WordEmbedding.dotProduct(v1, v2);
// features.incrementCount(prefix + "semantic-similarity", 2*sim - 1); // to make it between
// 0 and 1.
return 2 * sim - 1;
}
protected double semanticSimilarityVW(
Counter<String> features, String prefix, NumericMention mention, Sentence candidate) {
double[] v1 = embeddings.get(mention.sentence.get(), mention.token_begin, mention.token_end);
double[] v2 = embeddings.get(candidate);
double sim = Util.WordEmbedding.dotProduct(v1, v2);
// double sim =
// candidate.lemmas().stream()
// .map(w -> embeddings.get(Collections.singletonList(w), 0, 1))
// .map(v2 -> Util.WordEmbedding.dotProduct(v1, v2))
// .max(Double::compare)
// .get();
// features.incrementCount(prefix + "semantic-similarity", 2*sim - 1); // to make it between
// 0 and 1.
return 2 * sim - 1;
}
