Learning Dense Representations for Entity Retrieval

Conference on Computational Natural Language Learning (CoNLL), 2019

23 September 2019

Papers citing "Learning Dense Representations for Entity Retrieval"

27 / 127 papers shown

Title
Few-shot Intent Classification and Slot Filling with Retrieved ExamplesNorth American Chapter of the Association for Computational Linguistics (NAACL), 2021 Dian Yu Luheng He Yuan Zhang Xinya Du Panupong Pasupat Qi Li VLM 127 57 0 12 Apr 2021
Deep Indexed Active Learning for Matching Heterogeneous Entity RepresentationsProceedings of the VLDB Endowment (PVLDB), 2021 Arjit Jain Sunita Sarawagi Prithviraj Sen 185 27 0 08 Apr 2021
Personalized Entity Resolution with Dynamic Heterogeneous Knowledge Graph Representations Ying Lin Huaimin Wang Jiangning Chen Tong Wang Yue Liu Heng Ji Yang Liu Premkumar Natarajan 148 11 0 06 Apr 2021
Open Domain Question Answering over Tables via Dense RetrievalNorth American Chapter of the Association for Computational Linguistics (NAACL), 2021 Jonathan Herzig Thomas Müller Syrine Krichene Julian Martin Eisenschlos LMTD VLM RALM 243 127 0 22 Mar 2021
LightningDOT: Pre-training Visual-Semantic Embeddings for Real-Time Image-Text RetrievalNorth American Chapter of the Association for Computational Linguistics (NAACL), 2021 Siqi Sun Yen-Chun Chen Linjie Li Shuohang Wang Yuwei Fang Jingjing Liu VLM 171 89 0 16 Mar 2021
Fast and Effective Biomedical Entity Linking Using a Dual EncoderInternational Workshop on Health Text Mining and Information Analysis (HTMIA), 2021 Rajarshi Bhowmik K. Stratos Gerard de Melo 116 31 0 08 Mar 2021
Improving Zero-Shot Entity Retrieval through Effective Dense RepresentationsHellenic Conference on Artificial Intelligence (HAI), 2021 Eleni Partalidou Despina Christou Grigorios Tsoumakas 144 7 0 06 Mar 2021
DOCENT: Learning Self-Supervised Entity Representations from Large Document CollectionsConference of the European Chapter of the Association for Computational Linguistics (EACL), 2021 Yury Zemlyanskiy Sudeep Gandhe Ruining He Bhargav Kanagal Anirudh Ravula Juraj Gottweis Fei Sha Ilya Eckstein SSL 126 11 0 26 Feb 2021
Drug and Disease Interpretation Learning with Biomedical Entity Representation TransformerEuropean Conference on Information Retrieval (ECIR), 2021 Z. Miftahutdinov Artur Kadurin R. Kudrin E. Tutubalina MedIm 166 8 0 22 Jan 2021
Read, Retrospect, Select: An MRC Framework to Short Text Entity LinkingAAAI Conference on Artificial Intelligence (AAAI), 2021 Yingjie Gu Xiaoye Qu Zhefeng Wang Baoxing Huai Nicholas Jing Yuan Xiaolin Gui 136 32 0 07 Jan 2021
End-to-End QA on COVID-19: Domain Adaptation with Synthetic Training R. Reddy Bhavani Iyer Md Arafat Sultan Rong Zhang Avirup Sil Vittorio Castelli Radu Florian Salim Roukos OOD 151 19 0 02 Dec 2020
Entity Linking in 100 Languages Jan A. Botha Zifei Shan D. Gillick VLM 122 83 0 05 Nov 2020
Neural Passage Retrieval with Improved Negative Contrast Jing Lu Gustavo Hernández Ábrego Ji Ma Jianmo Ni Yinfei Yang 215 25 0 23 Oct 2020
RocketQA: An Optimized Training Approach to Dense Passage Retrieval for Open-Domain Question AnsweringNorth American Chapter of the Association for Computational Linguistics (NAACL), 2020 Yingqi Qu Yuchen Ding Jing Liu Kai Liu Ruiyang Ren Xin Zhao Daxiang Dong Hua Wu Haifeng Wang RALM OffRL 425 676 0 16 Oct 2020
On the Importance of Adaptive Data Collection for Extremely Imbalanced Pairwise TasksFindings (Findings), 2020 Stephen Mussmann Robin Jia Abigail Z. Jacobs 141 15 0 10 Oct 2020
KoBE: Knowledge-Based Machine Translation EvaluationFindings (Findings), 2020 Zorik Gekhman Roee Aharoni Genady Beryozkin Markus Freitag Wolfgang Macherey 156 15 0 23 Sep 2020
Language Models as Knowledge Bases: On Entity Representations, Storage Capacity, and Paraphrased Queries Benjamin Heinzerling Kentaro Inui KELM 210 147 0 20 Aug 2020
MIRA: Leveraging Multi-Intention Co-click Information in Web-scale Document Retrieval using Deep Neural Networks Yusi Zhang Chuanjie Liu Angen Luo Hui Xue Xuan Shan Y. Luo Yiqian Xia Yuanchi Yan Haidong Wang 162 6 0 03 Jul 2020
Neural Entity Linking: A Survey of Models Based on Deep Learning Ozge Sevgili Artem Shelmanov Mikhail V. Arkhipov Sergey Petrakov Christian Biemann VLM 3DV AI4TS 469 141 0 31 May 2020
Empirical Evaluation of Pretraining Strategies for Supervised Entity LinkingConference on Automated Knowledge Base Construction (AKBC), 2020 Thibault Févry Nicholas FitzGerald Livio Baldini Soares Tom Kwiatkowski 196 29 0 28 May 2020
Improving Broad-Coverage Medical Entity Linking with Semantic Type Prediction and Large-Scale DatasetsJournal of Biomedical Informatics (JBI), 2020 Shikhar Vashishth Denis R. Newman-Griffis Rishabh Joshi Ritam Dutt Carolyn Rose 221 29 0 01 May 2020
Sparse, Dense, and Attentional Representations for Text RetrievalTransactions of the Association for Computational Linguistics (TACL), 2020 Y. Luan Jacob Eisenstein Kristina Toutanova M. Collins 202 437 0 01 May 2020
Interpretable Entity Representations through Large-Scale TypingFindings (Findings), 2020 Yasumasa Onoe Greg Durrett 195 20 0 30 Apr 2020
Dense Passage Retrieval for Open-Domain Question AnsweringConference on Empirical Methods in Natural Language Processing (EMNLP), 2020 Vladimir Karpukhin Barlas Oğuz Sewon Min Patrick Lewis Ledell Yu Wu Sergey Edunov Danqi Chen Anuj Kumar RALM 568 4,685 0 10 Apr 2020
Entity Linking via Dual and Cross-Attention Encoders Oshin Agarwal Daniel M. Bikel 110 8 0 07 Apr 2020
Learning Contextualized Document Representations for Healthcare Answer RetrievalThe Web Conference (WWW), 2020 Sebastian Arnold Betty van Aken Paul Grundmann Felix Alexander Gers Alexander Loser 112 14 0 03 Feb 2020
Scalable Zero-shot Entity Linking with Dense Entity Retrieval Ledell Yu Wu Fabio Petroni Martin Josifoski Sebastian Riedel Luke Zettlemoyer 298 180 0 10 Nov 2019