Modularized Transfomer-based Ranking Framework
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Luyu Gao | Zhuyun Dai | Jamie Callan | Jamie Callan | Zhuyun Dai | Luyu Gao
[1] Yiqun Liu,et al. Investigating Passage-level Relevance and Its Role in Document-level Relevance Judgment , 2019, SIGIR.
[2] Bhaskar Mitra,et al. Overview of the TREC 2019 deep learning track , 2020, ArXiv.
[3] Hang Li,et al. Convolutional Neural Network Architectures for Matching Natural Language Sentences , 2014, NIPS.
[4] J. Shane Culpepper,et al. Statistical comparisons of non-deterministic IR systems using two dimensional variance , 2015, Inf. Process. Manag..
[5] Lukasz Kaiser,et al. Attention is All you Need , 2017, NIPS.
[6] Natalia Gimelshein,et al. PyTorch: An Imperative Style, High-Performance Deep Learning Library , 2019, NeurIPS.
[7] Larry P. Heck,et al. Learning deep structured semantic models for web search using clickthrough data , 2013, CIKM.
[8] Jianfeng Gao,et al. A Human Generated MAchine Reading COmprehension Dataset , 2018 .
[9] Zhiyuan Liu,et al. End-to-End Neural Ad-hoc Ranking with Kernel Pooling , 2017, SIGIR.
[10] Susan T. Dumais,et al. Learned Vector-Space Models for Document Retrieval , 1995, Inf. Process. Manag..
[11] Jamie Callan,et al. Deeper Text Understanding for IR with Contextual Neural Language Modeling , 2019, SIGIR.
[12] Zhiyuan Liu,et al. Understanding the Behaviors of BERT in Ranking , 2019, ArXiv.
[13] Richard A. Harshman,et al. Indexing by Latent Semantic Analysis , 1990, J. Am. Soc. Inf. Sci..
[14] Jimmy J. Lin,et al. Document Expansion by Query Prediction , 2019, ArXiv.
[15] Ilya Sutskever,et al. Generating Long Sequences with Sparse Transformers , 2019, ArXiv.
[16] Thomas Wolf,et al. DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter , 2019, ArXiv.
[17] Michael McGill,et al. Introduction to Modern Information Retrieval , 1983 .
[18] Zhuyun Dai,et al. Context-Aware Sentence/Passage Term Importance Estimation For First Stage Retrieval , 2019, ArXiv.
[19] Kyunghyun Cho,et al. Passage Re-ranking with BERT , 2019, ArXiv.
[20] Ming-Wei Chang,et al. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding , 2019, NAACL.
[21] Yelong Shen,et al. Learning semantic representations using convolutional neural networks for web search , 2014, WWW.
[22] W. Bruce Croft,et al. A Deep Relevance Matching Model for Ad-hoc Retrieval , 2016, CIKM.
[23] Yann LeCun,et al. Signature Verification Using A "Siamese" Time Delay Neural Network , 1993, Int. J. Pattern Recognit. Artif. Intell..
[24] Geoffrey E. Hinton,et al. Distilling the Knowledge in a Neural Network , 2015, ArXiv.
[25] Zhiyuan Liu,et al. Convolutional Neural Networks for Soft-Matching N-Grams in Ad-hoc Search , 2018, WSDM.
[26] R'emi Louf,et al. HuggingFace's Transformers: State-of-the-art Natural Language Processing , 2019, ArXiv.
[27] Fedor Moiseev,et al. Analyzing Multi-Head Self-Attention: Specialized Heads Do the Heavy Lifting, the Rest Can Be Pruned , 2019, ACL.