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Paraphrase Generation

10 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

Paraphrase Generation with Latent Bag of Words

NeurIPS 2019 FranxYao/dgm_latent_bow

Inspired by variational autoencoders with discrete latent structures, in this work, we propose a latent bag of words (BOW) model for paraphrase generation.

PARAPHRASE GENERATION WORD EMBEDDINGS

Paraphrase Generation with Latent Bag of Words

NeurIPS 2019 FranxYao/dgm_latent_bow

Specifically, we use source words to predict their neighbors and model the target BOW with a mixture of softmax.

PARAPHRASE GENERATION 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

Neural Syntactic Preordering for Controlled Paraphrase Generation

5 May 2020tagoyal/sow-reap-paraphrasing

Paraphrasing natural language sentences is a multifaceted process: it might involve replacing individual words or short phrases, local rearrangement of content, or high-level restructuring like topicalization or passivization.

MACHINE TRANSLATION PARAPHRASE GENERATION

Learning Semantic Sentence Embeddings using Sequential Pair-wise Discriminator

COLING 2018 dev-chauhan/PQG-pytorch

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

Syntax-guided Controlled Generation of Paraphrases

18 May 2020malllabiisc/SGCP

In these methods, syntactic-guidance is sourced from a separate exemplar sentence.

PARAPHRASE GENERATION

Automatic Compilation of Resources for Academic Writing and Evaluating with Informal Word Identification and Paraphrasing System

LREC 2020 uhh-lt/par4Acad

The aim is to build a writing aid system that automatically edits a text so that it better adheres to the academic style of writing.

PARAPHRASE GENERATION

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