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Paraphrase Identification

23 papers with code · Natural Language Processing

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PAWS-X: A Cross-lingual Adversarial Dataset for Paraphrase Identification

30 Aug 2019google-research-datasets/paws

Most existing work on adversarial data generation focuses on English.

PARAPHRASE IDENTIFICATION

86
30 Aug 2019

Simple and Effective Text Matching with Richer Alignment Features

ACL 2019 hitvoice/RE2

In this paper, we present a fast and strong neural approach for general purpose text matching applications.

ANSWER SELECTION NATURAL LANGUAGE INFERENCE PARAPHRASE IDENTIFICATION TEXT MATCHING

80
01 Aug 2019

PAWS: Paraphrase Adversaries from Word Scrambling

NAACL 2019 google-research-datasets/paws

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

PARAPHRASE IDENTIFICATION

86
01 Apr 2019

Multi-Task Deep Neural Networks for Natural Language Understanding

ACL 2019 namisan/mt-dnn

In this paper, we present a Multi-Task Deep Neural Network (MT-DNN) for learning representations across multiple natural language understanding (NLU) tasks.

DOMAIN ADAPTATION LANGUAGE MODELLING LINGUISTIC ACCEPTABILITY NATURAL LANGUAGE INFERENCE PARAPHRASE IDENTIFICATION SENTIMENT ANALYSIS

1,015
31 Jan 2019

Paraphrase Thought: Sentence Embedding Module Imitating Human Language Recognition

16 Aug 2018MJ-Jang/Paraphrase-Thought

However, because the performances of sentence classification and sentiment analysis can be enhanced by using a simple sentence representation method, it is not sufficient to claim that these models fully reflect the meanings of sentences based on good performances for such tasks.

DOCUMENT CLASSIFICATION MACHINE TRANSLATION PARAPHRASE IDENTIFICATION SENTENCE CLASSIFICATION SENTENCE EMBEDDING SENTIMENT ANALYSIS

4
16 Aug 2018

Multiway Attention Networks for Modeling Sentence Pairs

IJCAI 2018 zsweet/zsw_AI_model

Modeling sentence pairs plays the vital role for judging the relationship between two sentences, such as paraphrase identification, natural language inference, and answer sentence selection.

NATURAL LANGUAGE INFERENCE PARAPHRASE IDENTIFICATION

5
01 Jul 2018

Neural Network Models for Paraphrase Identification, Semantic Textual Similarity, Natural Language Inference, and Question Answering

COLING 2018 lanwuwei/SPM_toolkit

In this paper, we analyze several neural network designs (and their variations) for sentence pair modeling and compare their performance extensively across eight datasets, including paraphrase identification, semantic textual similarity, natural language inference, and question answering tasks.

NATURAL LANGUAGE INFERENCE PARAPHRASE IDENTIFICATION QUESTION ANSWERING SEMANTIC TEXTUAL SIMILARITY SENTENCE PAIR MODELING

245
12 Jun 2018

Character-based Neural Networks for Sentence Pair Modeling

NAACL 2018 lanwuwei/SPM_toolkit

Sentence pair modeling is critical for many NLP tasks, such as paraphrase identification, semantic textual similarity, and natural language inference.

NATURAL LANGUAGE INFERENCE PARAPHRASE IDENTIFICATION SEMANTIC TEXTUAL SIMILARITY SENTENCE PAIR MODELING

245
21 May 2018