Semantic Re-ranking

DSSM（2013，CIKM）：Learning Deep Structured Semantic Models for Web Search using Clickthrough Data
DeepMatch（2013，NIPS）：A Deep Architecture for Matching Short Texts.
ArcI、ArcII （NIPS，2014）：Convolutional Neural Network Architectures for Matching Natural Language Sentences
CLSM（2014，CIKM）：A Latent Semantic Model with Convolutional-Pooling Structure for Information Retrieval
CDSSM（2014，WWW）：Learning Semantic Representations Using Convolutional Neural Networks for Web Search
DCNN（2014，ACL）：A convolutional neural network for modelling sentences

MultiGranCNN （2015，ACL）：An Architecture for General Matching of Text Chunks on Multiple Levels of Granularity
CNTN（2015，AAAAI）：Convolutional Neural Tensor Network Architecture for Community-based Question Answering.
CDNN（2015，SIGIR）：Learning to Rank Short Text Pairs with Convolutional Deep Neural Networks
Multi-PerceptionCNN（EMNLP 2015）：Multi-perspective sentence similarity modeling with convolutional neural networks.
Bi-CNN-M（NAACL，2015）：Convolutional neural network for paraphrase identification

MaLSTM（AAAI，2016）：Siamese Recurrent Architectures for Learning Sentence Similarity
Sentence similarity learning by lexical decomposition and composition. （2016）
QA-LSTM（ICLR，2016）：LSTM-based deep learning models for non-factoid answer selection
LSTM-RNN(2016, TASLP)：Deep sentence embedding using long short-term memory networks: Analysis and application to information retrieval
MatchPyramid（2016，AAAI）：Text Matching as Image Recognition
MVLSTM（2016，AAAI）：A Deep Architecture for Semantic Matching with Multiple Positional Sentence Representations
MatchLSTM（2016，NAACL）：Machine Comprehension Using Match-lstm and Answer Pointer
MatchSRNN（2016，IJCAI）：Modeling the Recursive Matching Structure with Spatial RNN
ABCNN （2016，ACL）：Attention-Based Convolutional Neural Network for Modeling Sentence Pairs
aNMM（2016，CIKM）：Ranking Short Answer Texts with Attention-Based Neural Matching Model
Decomposable （2016，EMNLP）：A Decomposable Attention Model for Natural Language Inference
A compare-aggregate model for matching text sequences
IARNN（2016，ACL）：Inner attention based recurrent neural networks for answer selection
DRMM（CIKM，2016）：A Deep Relevance Matching Model for Ad-hoc Retrieval
Attentive Pooling network（2016）

HD-LSTM（2017，SIGIR）：Learning to Rank Question Answer Pairs with Holographic Dual LSTM Architecture
DeepRank（2017，CIKM）：A New Deep Architecture for Relevance Ranking in Information Retrieval
BiMPM（2017，IJCAI）：Bilateral Multi-Perspective Matching for Natural Language Sentences
KNRM（2017，SIGIR）：End-to-End Neural Ad-hoc Ranking with Kernel Pooling
ESIM（2017，ACL）：Enhanced LSTM for Natural Language Inference
DUET（2017，WWW）：Learning to Match Using Local and Distributed Representations of Text for Web Search
PACRR（2017，EMNLP）
RNN-POA（SIGIR，2017）：A Position Aware Deep Model for Relevance Matching in Information Retrieval
SMN（ACL2017）：A New Architecture for Multi-turn Response Selection in Retrieval-Based Chatbots
Match-Tensor（2017）：A Deep Relevance Model for Search

HyperQA（2018，WSDM）：Hyperbolic Representation Learning for Fast and Efficient Neural Question Answering
Conv_knrm（2018，WSDM）：Convolutional Neural Networks for So�-Matching N-Grams in Ad-hoc Search
HiNT（2018，SIGIR）：Modeling Diverse Relevance Patterns in Ad-hoc Retrieval
Co-PACRR（2018，WSDM）：A Context-Aware Neural IR Model for Ad-hoc Retrieval
CAN（SIGIR，2018）：Enhancing Sentence Similarity Modeling with Collaborative and Adversarial Network
SAN（ACL，2018）：Stochastic Answer Networks for Natural Language Inference
MwAN（IJCAI，2018）：Multiway Attention Networks for Modeling Sentences Pairs
HCRN（IJCAI 2018）：Hermitian Co-Attention Networks for Text Matching in Asymmetrical Domains
AF-DMN（IJCAI 2018）：Attention-Fused Deep Matching Network for Natural Language Inference
MCAN（KDD 2018）Multi-Cast Attention Networks for Retrieval-based Question Answering and Response Prediction
DIIN（2018，ICLR）：A Deep Architecture for Matching Short Texts
MIX（2018，KDD）：Multi-Channel Information Crossing for Text Matching
KEHNN（AAAI 2018）：Knowledge Enhanced Hybrid Neural Network for Text Matching
NNQLM（AAAI，2018）：End-to-End Quantum-Like Language Models with Application to Question Answering
GSMNN（CIKM，2018）：A Globalization-Semantic Matching Neural Network for Paraphrase Identification

HAR（WWW，2019）A Hierarchical Attention Retrieval Model for Healthcare Question Answering
RE2（2019）：Simple and Effective Text Matching with Richer Alignment Features
MMN（SIGIR，2019）：Multi-level Matching Networks for Text Matching
（EMNLP2019）MICRON: Multigranular Interaction for Contextualizing RepresentatiON in Non-factoid Question Answering
GSAMN（EMNLP，2019）A Gated Self-attention Memory Network for Answer Selection
HCAN（EMNLP，2019）Bridging the Gap between Relevance Matching and Semantic Matching for Short Text Similarity Modeling
ADIN（EMNLP，2019）Asynchronous Deep Interaction Network for Natural Language Inference

（AAAI2020）：Multi-level Head-wise Match and Aggregation in Transformer for Textual Sequence Matching
KCG（AAAI2020）：Knowledge and Cross-Pair Pattern Guided Semantic Matching for Question Answering

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