Pretrained Transformers for Text Ranking: BERT and Beyond

13 October 2020

Papers citing "Pretrained Transformers for Text Ranking: BERT and Beyond"

29 / 229 papers shown

Title
Intra-Document Cascading: Learning to Select Passages for Neural Document Ranking Sebastian Hofstatter Bhaskar Mitra Hamed Zamani Nick Craswell Allan Hanbury 14 43 0 20 May 2021
MS MARCO: Benchmarking Ranking Models in the Large-Data Regime Nick Craswell Bhaskar Mitra Emine Yilmaz Daniel Fernando Campos Jimmy J. Lin ALM 40 63 0 09 May 2021
Improving Document Representations by Generating Pseudo Query Embeddings for Dense Retrieval Hongyin Tang Xingwu Sun Beihong Jin Jingang Wang Fuzheng Zhang Wei Yu Wu RALM 28 36 0 08 May 2021
Text-to-Text Multi-view Learning for Passage Re-ranking Jia-Huei Ju Jheng-Hong Yang Chuan-Ju Wang AIMat 20 20 0 29 Apr 2021
TREC Deep Learning Track: Reusable Test Collections in the Large Data Regime Nick Craswell Bhaskar Mitra Emine Yilmaz Daniel Fernando Campos E. Voorhees I. Soboroff 12 51 0 19 Apr 2021
BEIR: A Heterogenous Benchmark for Zero-shot Evaluation of Information Retrieval Models Nandan Thakur Nils Reimers Andreas Rucklé Abhishek Srivastava Iryna Gurevych VLM 231 971 0 17 Apr 2021
Semantic maps and metrics for science Semantic maps and metrics for science using deep transformer encoders Brendan Chambers James A. Evans MedIm 13 0 0 13 Apr 2021
Redefining Absent Keyphrases and their Effect on Retrieval Effectiveness Florian Boudin Ygor Gallina 21 15 0 23 Mar 2021
Retrieve Fast, Rerank Smart: Cooperative and Joint Approaches for Improved Cross-Modal Retrieval Gregor Geigle Jonas Pfeiffer Nils Reimers Ivan Vulić Iryna Gurevych 32 59 0 22 Mar 2021
A Systematic Evaluation of Transfer Learning and Pseudo-labeling with BERT-based Ranking Models Iurii Mokrii Leonid Boytsov Pavel Braslavski 17 26 0 04 Mar 2021
Neural ranking models for document retrieval M. Trabelsi Zhiyu Zoey Chen Brian D. Davison J. Heflin FedML 29 28 0 23 Feb 2021
Biomedical Question Answering: A Survey of Approaches and Challenges Qiao Jin Zheng Yuan Guangzhi Xiong Qian Yu Huaiyuan Ying Chuanqi Tan Mosha Chen Songfang Huang Xiaozhong Liu Sheng Yu 23 95 0 10 Feb 2021
BERTaú: Itaú BERT for digital customer service Paulo Finardi José Dié Viegas Gustavo T. Ferreira Alex F. Mansano Vinicius Fernandes Caridá 22 11 0 28 Jan 2021
The Expando-Mono-Duo Design Pattern for Text Ranking with Pretrained Sequence-to-Sequence Models Ronak Pradeep Rodrigo Nogueira Jimmy J. Lin MoE 59 166 0 14 Jan 2021
ERNIE-Doc: A Retrospective Long-Document Modeling Transformer Siyu Ding Junyuan Shang Shuohuan Wang Yu Sun Hao Tian Hua-Hong Wu Haifeng Wang 71 52 0 31 Dec 2020
Learning Dense Representations of Phrases at Scale Jinhyuk Lee Mujeen Sung Jaewoo Kang Danqi Chen RALM DML NAI 19 115 0 23 Dec 2020
Neural Methods for Effective, Efficient, and Exposure-Aware Information Retrieval Bhaskar Mitra 14 5 0 21 Dec 2020
Weakly Supervised Label Smoothing Gustavo Penha C. Hauff 11 3 0 15 Dec 2020
ABNIRML: Analyzing the Behavior of Neural IR Models Sean MacAvaney Sergey Feldman Nazli Goharian Doug Downey Arman Cohan 15 49 0 02 Nov 2020
Distilling Dense Representations for Ranking using Tightly-Coupled Teachers Sheng-Chieh Lin Jheng-Hong Yang Jimmy J. Lin 21 119 0 22 Oct 2020
RocketQA: An Optimized Training Approach to Dense Passage Retrieval for Open-Domain Question Answering Yingqi Qu Yuchen Ding Jing Liu Kai Liu Ruiyang Ren Xin Zhao Daxiang Dong Hua-Hong Wu Haifeng Wang RALM OffRL 214 594 0 16 Oct 2020
Big Bird: Transformers for Longer Sequences Manzil Zaheer Guru Guruganesh Kumar Avinava Dubey Joshua Ainslie Chris Alberti ... Philip Pham Anirudh Ravula Qifan Wang Li Yang Amr Ahmed VLM 282 2,015 0 28 Jul 2020
Overview of the TREC 2019 deep learning track Nick Craswell Bhaskar Mitra Emine Yilmaz Daniel Fernando Campos E. Voorhees 180 465 0 17 Mar 2020
Exploiting Cloze Questions for Few Shot Text Classification and Natural Language Inference Timo Schick Hinrich Schütze 258 1,589 0 21 Jan 2020
Mixout: Effective Regularization to Finetune Large-scale Pretrained Language Models Cheolhyoung Lee Kyunghyun Cho Wanmo Kang MoE 249 205 0 25 Sep 2019
Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelism M. Shoeybi M. Patwary Raul Puri P. LeGresley Jared Casper Bryan Catanzaro MoE 245 1,821 0 17 Sep 2019
On Extractive and Abstractive Neural Document Summarization with Transformer Language Models Sandeep Subramanian Raymond Li Jonathan Pilault C. Pal 240 215 0 07 Sep 2019
Language Models as Knowledge Bases? Fabio Petroni Tim Rocktaschel Patrick Lewis A. Bakhtin Yuxiang Wu Alexander H. Miller Sebastian Riedel KELM AI4MH 415 2,588 0 03 Sep 2019
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation Yonghui Wu M. Schuster Z. Chen Quoc V. Le Mohammad Norouzi ... Alex Rudnick Oriol Vinyals G. Corrado Macduff Hughes J. Dean AIMat 716 6,746 0 26 Sep 2016