SIGIR会议已开，论文已全部放出，已做修改！
花一个上午的时间整理了一下SIGIR会议的检索相关论文，主要涉及：文本的表征、检索及重排序、阅读理解，其他等。不过有一些论文还搜不到（还没放出来），只能把题目挂上来，后续再做补充。
SIGIR会议论文地址如下：
SIGIR 2020 sigir.org一、文本的表征
(1) Convolutional Embedding for Edit Distance
Paper：https://arxiv.org/abs/2001.11692
(2) Match^2: A Matching over Matching Model for Similar Question Identification
Paper：https://arxiv.org/abs/2006.11719
(3) Hier-SPCNet: A Legal Statute Hierarchy-based Heterogeneous Network for Computing Legal Document Similarity
Paper： https://arxiv.org/abs/2007.03225
(4) Attending to Inter-sentential Features in Neural Text Classification
Paper：https://dl.acm.org/doi/pdf/10.1145/3397271.3401203
(5) Towards Differentially Private Text Representations
Paper: https://arxiv.org/abs/2006.14170
(6) Expansion via Prediction of Importance with Contextualization
Paper: https://arxiv.org/abs/2004.14245
(7) DC-BERT: Decoupling Question and Document for Efficient Contextual Encoding
Paper: https://arxiv.org/abs/2002.12591
(8) Improving Matching Models with Hierarchical Contextualized Representations for Multi-turn Response Selection
Paper: https://arxiv.org/abs/1808.07244
(9) Symmetric Regularization based BERT for Pair-wise Semantic Reasoning
Paper: https://arxiv.org/abs/1909.03405
二、检索及重排序
(1) Table Search Using a Deep Contextualized Language Model
Paper：https://arxiv.org/abs/2005.09207
(2) ColBERT: Efficient and Effective Passage Search via Contextualized Late Interaction over BERT
Paper：https://arxiv.org/abs/2004.12832
(3) Finding the Best of Both Worlds: Faster and More Robust Top-k Document Retrieval
Paper: https://dl.acm.org/doi/pdf/10.1145/3397271.3401076
(4) Efficient Document Re-Ranking for Transformers by Precomputing Term Representations
Paper：https://arxiv.org/abs/2004.14255
(5) Training Curricula for Open Domain Answer Re-Ranking
Paper：https://arxiv.org/abs/2004.14269
(6) SetRank: Learning a Permutation-Invariant Ranking Model for Information Retrieval
Paper：https://arxiv.org/abs/1912.05891
(7) MarkedBERT: Integrating Traditional IR cues in pre-trained language models for passage retrieval
Paper: https://dl.acm.org/doi/pdf/10.1145/3397271.3401194
(8) Context-Aware Term Weighting For First-Stage Passage Retrieval
Paper: https://dl.acm.org/doi/pdf/10.1145/3397271.3401204
(9) Learning Term Discrimination
Paper: https://arxiv.org/abs/2004.11759
(10) Improving Document-Level Text Retrieval using Local Attention in the Transformer-Kernel Pooling Model
Paper: https://dl.acm.org/doi/pdf/10.1145/3397271.3401224
(11) Query-level Early Exit for Additive Learning-to-Rank Ensembles
Paper: https://arxiv.org/abs/2004.14641
(12) Efficiency Implications of Term Re-Weighting for Passage Retrieval
Paper: https://www.cs.cmu.edu/~zhuyund/papers/SIGIR2020DeepCT-efficiency.pdf
(13) Contextual Re-Ranking with Behavior Aware Transformers
Paper: http://ciir-publications.cs.umass.edu/getpdf.php?id=1383
(14) An analysis of BERT in document ranking
Paper: https://dl.acm.org/doi/pdf/10.1145/3397271.3401325
三、QA及阅读理解
(1) Open-Retrieval Conversational Question Answering
Paper: https://arxiv.org/abs/2005.11364
(2) A Pairwise Probe for Understanding BERT Fine-Tuning on Machine Reading Comprehension
Paper: https://arxiv.org/abs/2006.01346
(3) Reranking for Efficient Transformer-based Answer Selection
Paper:https://www.amazon.science/publications/reranking-for-efficient-transformer-based-answer-selection
(4) Read, Attend, and Exclude: Multi-Choice Reading Comprehension by Mimicking Human Reasoning Process
Paper: https://dl.acm.org/doi/pdf/10.1145/3397271.3401326
四、其他
(1) A Unified Dual-view Model for Review Summarization and Sentiment Classification with Inconsistency Loss
Paper：https://arxiv.org/abs/2006.01592
(2) Automatic Generation of Topic Labels
Paper：https://arxiv.org/abs/2006.00127
(3) Summarizing and Exploring Tabular Data in Conversational Search
Paper: https://arxiv.org/abs/2005.11490
(4) Bridging Hierarchical and Sequential Context Modeling for Question-driven Extractive Answer Summarization
Paper: https://dl.acm.org/doi/pdf/10.1145/3397271.3401208
(5) Chinese document classification with bi-directional convolutional language model
Paper: https://dl.acm.org/doi/pdf/10.1145/3397271.3401248
(6) CrossBERT with Triplet Neural Architecture for Entity Property Ranking
Paper: http://eprints.gla.ac.uk/216366/
(7) Read what you need: Controllable Aspect-based Opinion Summarization of Tourist Reviews
Paper: https://arxiv.org/abs/2006.04660
(8) G2T: Generating Fluent Descriptions for Knowledge Graph
(9) Few-Shot Generative Conversational Query Rewriting
Paper: https://arxiv.org/abs/2006.05009
整理下来实属不易，还请大家多多点赞~~~
接下来，有可能会进一步进行解读，将论文摘要部分添加进来，给更多小伙伴提供方便。
广告时间，哈哈哈哈。
推荐几篇文章：
来源：oschina
链接：https://my.oschina.net/u/4329631/blog/4476705