| DSSM |
Learning Deep Structured Semantic Models for Web Search using Clickthrough Data; CIKM 2013 |
Y |
https://github.com/baharefatemi/DSSM |
2013 |
| CDSSM |
A latent semantic model with convolutional-pooling structure for information retrieval; CIKM 2014 |
Y |
https://github.com/nishnik/Deep-Semantic-Similarity-Model-PyTorch/blob/master/cdssm.py |
2014 |
| ARC-I/ARC-II |
Convolutional Neural Network Architectures for Matching Natural Language Sentences; NIPS 2014 |
N |
|
2014 |
| CNTN |
Convolutional Neural Tensor Network Architecture for Community-Based Question Answering; IJCAI 2015 |
N |
|
2015 |
| MultiGranCNN |
MultiGranCNN: An Architecture for General Matching of Text Chunks on Multiple Levels of Granularity; ACL 2015 |
N |
|
2015 |
| LSTM-RNN |
Deep Sentence Embedding Using the Long Short Term Memory Network: Analysis and Application to Information Retrieval; TASLP 2016 |
N |
|
2016 |
| MatchPyramid |
Text Matching as Image Recognition; AAAI 2016 |
Y |
https://github.com/pl8787/MatchPyramid-TensorFlow |
2016 |
| MV-LSTM |
A Deep Architecture for Semantic Matching with Multiple Positional Sentence Representations; AAAI 2016 |
N |
|
2016 |
| Match-SRNN |
Match-SRNN: Modeling the Recursive Matching Structure with Spatial RNN; IJCAI 2016 |
N |
|
2016 |
| Decomposable Attention Model |
A Decomposable Attention Model for Natural Language Inference; EMNLP 2016 |
Y |
https://github.com/HsiaoYetGun/Decomposable-Attention |
2016 |
| DRMM |
A Deep Relevance Matching Model for Ad-hoc Retrieval; CIKM 2016 |
Y |
https://github.com/sebastian-hofstaetter/neural-ranking-drmm |
2016 |
| hybrid of ConvNet and BiLSTM |
Pairwise Word Interaction Modeling with Deep Neural Networks for Semantic Similarity Measurement; NAACL-HLT 2016 |
N |
|
2016 |
| ABCNN |
ABCNN: Attention-Based Convolutional Neural Network for Modeling Sentence Pairs; TACL 2016 |
Y |
https://github.com/galsang/ABCNN |
2016 |
| SeqMatchSeq |
A compare-aggregate model for matching text sequences |
Y |
https://github.com/shuohangwang/SeqMatchSeq |
2016 |
| K-NRM |
End-to-End Neural Ad-hoc Ranking with Kernel Pooling; SIGIR 2017 |
Y |
https://github.com/AdeDZY/K-NRM |
2017 |
| DeepRank |
DeepRank: a New Deep Architecture for Relevance Ranking in Information Retrieval; CIKM 2017 |
N |
|
2017 |
| BiMPM |
Bilateral Multi-Perspective Matching for Natural Language Sentences; IJCAI 2017 |
Y |
https://github.com/zhiguowang/BiMPM |
2017 |
| ESIM |
Enhancing and Combining Sequential and Tree LSTM for Natural Language Inference; ACL 2017 |
Y |
https://github.com/lukecq1231/nli |
2017 |
| PACRR |
PACRR: A Position-Aware Deep Model for Relevance Matching in Information Retrieval; EMNLP 2017 |
Y |
https://github.com/khui/copacrr |
2017 |
| LMLDR |
Learning to Match Using Local and Distributed Representations of Text for Web Search; WWW 2017 |
N |
|
2017 |
| weak-supervision |
Neural ranking models with weak supervision ; SIGIR 2017 |
Y |
https://github.com/hamed-zamani/snrm |
2017 |
| K-NRM |
End-to-end neural ad-hoc ranking with kernel pooling; SIGIR 2017 |
Y |
https://github.com/AdeDZY/K-NRM |
2017 |
| Conv-KNRM |
Convolutional Neural Networks for Soft-Matching N-Grams in Ad-hoc Search; WSDM 2018 |
Y |
https://github.com/thunlp/EntityDuetNeuralRanking |
2018 |
| MIX |
Multi-Channel Information Crossing for Text Matching; KDD 2018 |
N |
|
2018 |
| DIIN |
Natural Language Inference over interaction space; ICLR 2018 |
Y |
https://github.com/YichenGong/Densely-Interactive-Inference-Network |
2018 |
| AdaQA |
Learning Context-Sensitive Convolutional Filters for Text Processing; EMNLP 2018 |
N |
|
2018 |
| ComProp |
Compare, Compress and Propagate: Enhancing Neural Architectureswith Alignment Factorization for Natural Language Inference; EMNLP 2018 |
N |
|
2018 |
| DSA |
Dynamic Self-Attention : Computing Attention over Words Dynamically for Sentence Embedding |
N |
|
2018 |
| ElBis |
Element-wise Bilinear Interaction for Sentence Matching; JCLCS 2018 |
N |
|
2018 |
| HSF |
Matching Natural Language Sentences with Hierarchical Sentence Factorization; WWW 2018 |
Y |
https://github.com/BangLiu/SentenceMatching |
2018 |
| MwAN |
Mutliway Attention Networks for Modeling Sentences Pairs; IJCAI 2018 |
N |
|
2018 |
| pair2vec |
pair2vec: Compositional Word-Pair Embeddings for Cross-Sentence Inference |
N |
|
2018 |
| DCNN |
Deconvolutional Paragraph Representation Learning; NIPS2018 |
Y |
https://github.com/dreasysnail/textCNN_public |
2018 |
| HiNT |
Modeling Diverse Relevance Patterns in Ad-hoc Retrieval; SIGIR 2018 |
N |
|
2018 |
| MCAN |
Multi-Cast Attention Networks for Retrieval-based Question Answering and Response Prediction; KDD2018 |
N |
|
2018 |
| DLCM |
Learning a Deep Listwise Context Model for Ranking Refinement; SIGIR 2018 |
Y |
https://github.com/QingyaoAi/Deep-Listwise-Context-Model-for-Ranking-Refinement |
2018 |
| Co-PACRR |
A Context-Aware Neural IR Model for Ad-hoc Retrieval; WSDM 2018 |
Y |
https://github.com/khui/copacrr |
2018 |
| DRCN |
Semantic Sentence Matching with Densely-connected Recurrent and Co-attentive Information; AAAI 2019 |
N |
|
2019 |
Match copied to clipboard
YanWenqiang
YanWenqiang