Browse > Natural Language Processing > Paraphrase Identification

Paraphrase Identification

23 papers with code ยท Natural Language Processing

State-of-the-art leaderboards

Latest papers without code

Adversarial Examples with Difficult Common Words for Paraphrase Identification

5 Sep 2019

In this paper, we propose a novel algorithm to generate a new type of adversarial examples to study the robustness of deep paraphrase identification models.

LANGUAGE MODELLING PARAPHRASE IDENTIFICATION

Transfer Fine-Tuning: A BERT Case Study

3 Sep 2019

It constitutes a set of tasks crucial for research on natural language understanding.

PARAPHRASE IDENTIFICATION REPRESENTATION LEARNING SEMANTIC TEXTUAL SIMILARITY TRANSFER LEARNING

Unsupervised Paraphrasing without Translation

ACL 2019

Paraphrasing is an important task demonstrating the ability to abstract semantic content from its surface form.

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

Unsupervised Paraphrasing without Translation

ACL 2019

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

MACHINE TRANSLATION 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