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Paraphrase Generation

6 papers with code · Natural Language Processing
Subtask of Text Generation

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Query and Output: Generating Words by Querying Distributed Word Representations for Paraphrase Generation

NAACL 2018 lancopku/WEAN

The existing sequence-to-sequence model tends to memorize the words and the patterns in the training dataset instead of learning the meaning of the words.

ABSTRACTIVE TEXT SUMMARIZATION PARAPHRASE GENERATION TEXT SIMPLIFICATION WORD EMBEDDINGS

Learning Semantic Sentence Embeddings using Sequential Pair-wise Discriminator

COLING 2018 badripatro/PQG

One way to ensure this is by adding constraints for true paraphrase embeddings to be close and unrelated paraphrase candidate sentence embeddings to be far.

MACHINE READING COMPREHENSION MACHINE TRANSLATION PARAPHRASE GENERATION SENTENCE EMBEDDING SENTIMENT ANALYSIS

Learning Semantic Sentence Embeddings using Sequential Pair-wise Discriminator

COLING 2018 vinodkkurmi/PQG

One way to ensure this is by adding constraints for true paraphrase embeddings to be close and unrelated paraphrase candidate sentence embeddings to be far.

PARAPHRASE GENERATION SENTENCE EMBEDDING SENTIMENT ANALYSIS

Discriminating between Lexico-Semantic Relations with the Specialization Tensor Model

NAACL 2018 codogogo/stm

We present a simple and effective feed-forward neural architecture for discriminating between lexico-semantic relations (synonymy, antonymy, hypernymy, and meronymy).

NATURAL LANGUAGE INFERENCE PARAPHRASE GENERATION TEXT SIMPLIFICATION WORD EMBEDDINGS