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Paraphrase Identification

18 papers with code ยท Natural Language Processing

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A Cross-Sentence Latent Variable Model for Semi-Supervised Text Sequence Matching

4 Jun 2019

We present a latent variable model for predicting the relationship between a pair of text sequences.

NATURAL LANGUAGE INFERENCE PARAPHRASE IDENTIFICATION

PAWS: Paraphrase Adversaries from Word Scrambling

NAACL 2019

Existing paraphrase identification datasets lack sentence pairs that have high lexical overlap without being paraphrases.

PARAPHRASE IDENTIFICATION

Unsupervised Paraphrasing without Translation

29 May 2019

We compare with MT-based approaches on paraphrase identification, generation, and training augmentation.

MACHINE TRANSLATION PARAPHRASE IDENTIFICATION

PAWS: Paraphrase Adversaries from Word Scrambling

NAACL 2019

Existing paraphrase identification datasets lack sentence pairs that have high lexical overlap without being paraphrases.

PARAPHRASE IDENTIFICATION

Multiresolution Graph Attention Networks for Relevance Matching

27 Feb 2019

In this paper, we are especially interested in relevance matching between a piece of short text and a long document, which is critical to problems like query-document matching in information retrieval and web searching.

INFORMATION RETRIEVAL PARAPHRASE IDENTIFICATION QUESTION ANSWERING TEXT MATCHING

Learning to Selectively Transfer: Reinforced Transfer Learning for Deep Text Matching

30 Dec 2018

Specifically, the data selector "acts" on the source domain data to find a subset for optimization of the TL model, and the performance of the TL model can provide "rewards" in turn to update the selector.

INFORMATION RETRIEVAL NATURAL LANGUAGE INFERENCE PARAPHRASE IDENTIFICATION QUESTION ANSWERING TEXT MATCHING TRANSFER LEARNING

The BQ Corpus: A Large-scale Domain-specific Chinese Corpus For Sentence Semantic Equivalence Identification

EMNLP 2018

As the largest manually annotated public Chinese SSEI corpus in the bank domain, the BQ corpus is not only useful for Chinese question semantic matching research, but also a significant resource for cross-lingual and cross-domain SSEI research.

PARAPHRASE IDENTIFICATION QUESTION ANSWERING SEMANTIC TEXTUAL SIMILARITY