A collection of papers maintained by MatchZoo Team.
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- Models
A Word Embedding based Generalized Language Model for Information Retrieval. website | paper
A Dual Embedding Space Model for Document Ranking. website | paper
Learning Deep Structured Semantic Models for Web Search using Clickthrough Data. website | paper | tutorial
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
Deep Sentence Embedding Using Long Short-Term Memory Networks: Analysis and Application to Information Retrieval. website | paper
Convolutional Neural Network Architectures for Matching Natural Language Sentences. website | paper
Convolutional Neural Network Architectures for Matching Natural Language Sentences. website | paper
MultiGranCNN: An Architecture for General Matching of Text Chunks on Multiple Levels of Granularity. paper
A Deep Architecture for Semantic Matching with Multiple Positional Sentence Representations website | paper
A Deep Relevance Matching Model for Ad-hoc Retrieval. website | paper
End-to-End Neural Ad-hoc Ranking with Kernel Pooling. website | paper
Convolutional Neural Networks for Soft-Matching N-Grams in Ad-hoc Search. website | paper
aNMM: Ranking Short Answer Texts with Attention-Based Neural Matching Model. website | paper
Learning to Match using Local and Distributed Representations of Text for Web Search. website | paper
Text Matching as Image Recognition website | paper
Learning Natural Language Inference with LSTM website | paper
A Deep Relevance Matching Model for Ad-hoc Retrieval (*A variation of DRMM). website | paper
Bilateral Multi-Perspective Matching for Natural Language Sentences website | paper
DeepRank: A New Deep Architecture for Relevance Ranking in Information Retrieval website | paper
Match-SRNN: Modeling the Recursive Matching Structure with Spatial RNN. website | paper
Co-PACRR: A Context-Aware Neural IR Model for Ad-hoc Retrieval. website | paper
Learning a Deep Listwise Context Model for Ranking Refinement. NEW, TO BE APPEARED IN SIGIR 2018 website | paper
Siamese Recurrent Architectures for Learning Sentence Similarity. website | paper
Learning Text Similarity with Siamese Recurrent Networks. website | paper
Enhanced LSTM for Natural Language Inference * ACL 2017 website | paper
Multi-Cast Attention Networks for Retrieval-based Question Answering and Response Prediction website | paper
MIX: Multi-Channel Information Crossing for Text Matching website | paper
Modeling Diverse Relevance Patterns in Ad-hoc Retrieval website | paper