PPDB 2.0: Better paraphrase ranking, fine-grained entailment relations, word embeddings, and style classification
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General ClassificationNatural Language InferenceSemantic Textual SimilarityText GenerationWord EmbeddingsSimilar Papers 제목 키워드 기반
A Word-Complexity Lexicon and A Neural Readability Ranking Model for Lexical Simplification
Current lexical simplification approaches rely heavily on heuristics and corpus level features that do not always align with human judgment. We create a human-rated word-complexity lexicon of 15,000 English words and pro…
Lexical SimplificationVector-space models for PPDB paraphrase ranking in context
From Paraphrase Database to Compositional Paraphrase Model and Back
The Paraphrase Database (PPDB; Ganitkevitch et al., 2013) is an extensive semantic resource, consisting of a list of phrase pairs with (heuristic) confidence estimates. However, it is still unclear how it can best be use…
Word EmbeddingsMapping the Paraphrase Database to WordNet
WordNet has facilitated important research in natural language processing but its usefulness is somewhat limited by its relatively small lexical coverage. The Paraphrase Database (PPDB) covers 650 times more words, but l…
ClusteringThe Multilingual Paraphrase Database
We release a massive expansion of the paraphrase database (PPDB) that now includes a collection of paraphrases in 23 different languages. The resource is derived from large volumes of bilingual parallel data. Our collect…
Document SummarizationInformation RetrievalMachine TranslationMulti-Document Summarization+4