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Paraphrase Identification

18 papers with code · Natural Language Processing

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Multi-Task Deep Neural Networks for Natural Language Understanding

31 Jan 2019namisan/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 NATURAL LANGUAGE INFERENCE PARAPHRASE IDENTIFICATION SENTIMENT ANALYSIS

780
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

3
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

229
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

229
21 May 2018

Learning General Purpose Distributed Sentence Representations via Large Scale Multi-task Learning

ICLR 2018 facebookresearch/InferSent

In this work, we present a simple, effective multi-task learning framework for sentence representations that combines the inductive biases of diverse training objectives in a single model.

MULTI-TASK LEARNING NATURAL LANGUAGE INFERENCE PARAPHRASE IDENTIFICATION SEMANTIC TEXTUAL SIMILARITY

1,608
30 Mar 2018

Recurrent Neural Network-Based Semantic Variational Autoencoder for Sequence-to-Sequence Learning

9 Feb 2018MJ-Jang/RNN_SVAE

In this paper, we propose a new recurrent neural network (RNN)-based Seq2seq model, RNN semantic variational autoencoder (RNN--SVAE), to better capture the global latent information of a sequence of words.

LANGUAGE MODELLING MACHINE TRANSLATION PARAPHRASE IDENTIFICATION SPEECH RECOGNITION TEXT SUMMARIZATION

4
09 Feb 2018

A Deep Relevance Matching Model for Ad-hoc Retrieval

23 Nov 2017faneshion/DRMM

Specifically, our model employs a joint deep architecture at the query term level for relevance matching.

AD-HOC INFORMATION RETRIEVAL PARAPHRASE IDENTIFICATION QUESTION ANSWERING SPEECH RECOGNITION

28
23 Nov 2017

Modelling Domain Relationships for Transfer Learning on Retrieval-based Question Answering Systems in E-commerce

23 Nov 2017jefferyYu/WSDM18_codes

In this paper, we study transfer learning for the PI and NLI problems, aiming to propose a general framework, which can effectively and efficiently adapt the shared knowledge learned from a resource-rich source domain to a resource- poor target domain.

CHATBOT NATURAL LANGUAGE INFERENCE PARAPHRASE IDENTIFICATION QUESTION ANSWERING TRANSFER LEARNING

5
23 Nov 2017