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A curated list of papers dedicated to neural text (semantic) matching.

License: MIT License

awaresome-neural-models-for-semantic-match's Introduction

Awesome

Awaresome Neural Models for Semantic Match


A collection of papers maintained by MatchZoo Team.
Checkout our open source toolkit MatchZoo for more information!


Contents


Models


GLM:

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A Word Embedding based Generalized Language Model for Information Retrieval. website | paper

DESM:

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A Dual Embedding Space Model for Document Ranking. website | paper

DSSM:

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Learning Deep Structured Semantic Models for Web Search using Clickthrough Data. website | paper | tutorial

CDSSM:

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Learning Semantic Representations Using Convolutional Neural Networks for Web Search (2014a). website | paper

A Latent Semantic Model with Convolutional-Pooling Structure for Information Retrieval (2014b). website | paper

LSTM-DSSM

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Deep Sentence Embedding Using Long Short-Term Memory Networks: Analysis and Application to Information Retrieval. website | paper

ARC-I

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Convolutional Neural Network Architectures for Matching Natural Language Sentences. website | paper

ARC-II

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Convolutional Neural Network Architectures for Matching Natural Language Sentences. website | paper

MultiGranCNN

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MultiGranCNN: An Architecture for General Matching of Text Chunks on Multiple Levels of Granularity. paper

MV-LSTM

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A Deep Architecture for Semantic Matching with Multiple Positional Sentence Representations website | paper

DRMM

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A Deep Relevance Matching Model for Ad-hoc Retrieval. website | paper

K-NRM

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End-to-End Neural Ad-hoc Ranking with Kernel Pooling. website | paper

CONV-KNRM

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Convolutional Neural Networks for Soft-Matching N-Grams in Ad-hoc Search. website | paper

aNMM

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aNMM: Ranking Short Answer Texts with Attention-Based Neural Matching Model. website | paper

DUET

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Learning to Match using Local and Distributed Representations of Text for Web Search. website | paper

MatchPyramid

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Text Matching as Image Recognition website | paper

DRMM-TKS

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A Deep Relevance Matching Model for Ad-hoc Retrieval (*A variation of DRMM). website | paper

BiMPM

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Bilateral Multi-Perspective Matching for Natural Language Sentences website | paper

DeepRank

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DeepRank: A New Deep Architecture for Relevance Ranking in Information Retrieval website | paper

Match-SRNN

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Match-SRNN: Modeling the Recursive Matching Structure with Spatial RNN. website | paper

Co-PACRR

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Co-PACRR: A Context-Aware Neural IR Model for Ad-hoc Retrieval. website | paper

DLCM

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Learning a Deep Listwise Context Model for Ranking Refinement. NEW, TO BE APPEARED IN SIGIR 2018 website | paper

Siamese-LSTM

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Siamese Recurrent Architectures for Learning Sentence Similarity. website | paper

Learning Text Similarity with Siamese Recurrent Networks. website | paper

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