Fetching the paper…
Reading the bibliography…
An important task for designing QA systems is answer sentence selection (AS2): selecting the sentence containing (or constituting) the answer to a question from a set of retrieved relevant documents.
Language model pre-training for hierarchical document representations
Ming-Wei Chang, Kristina Toutanova, Kenton Lee, and Jacob Devlin. 2019 · 1901
Earlier work this paper cites.
Sentence-bert: Sentence embeddings using siamese bert-networks
Nils Reimers and Iryna Gurevych. 2019 · 1908
Earlier work this paper cites.
Longformer: The long-document transformer
Iz Beltagy, Matthew E. Peters, and Arman Cohan. 2020 · 2004
Earlier work this paper cites.
What is the Jeopardy model? a quasi-synchronous grammar for QA
Mengqiu Wang, Noah A. Smith, and Teruko Mitamura. 2007 · 2007
Earlier work this paper cites.
A paragraph-level multi-task learning model for scientific fact-verification
Xiangci Li, Gully A. Burns, and Nanyun Peng. 2020 · 2012
Earlier work this paper cites.
Learning to rank short text pairs with convolutional deep neural networks
Aliaksei Severyn and Alessandro Moschitti. 2015 · 2015
Earlier work this paper cites.
Wikiqa: A challenge dataset for open-domain question answering
Yi Yang, Scott Wen-tau Yih, and Chris Meek. 2015 · 2015
Earlier work this paper cites.
A compare-aggregate model with dynamic-clip attention for answer selection
Weijie Bian, Si Li, Zhao Yang, Guang Chen, and Zhiqing Lin. 2017 · 2017
Earlier work this paper cites.
Inter-weighted alignment network for sentence pair modeling
Gehui Shen, Yunlun Yang, and Zhi-Hong Deng. 2017a · 2017
Earlier work this paper cites.
Inter-weighted alignment network for sentence pair modeling
Gehui Shen, Yunlun Yang, and Zhi-Hong Deng. 2017b · 2017
Earlier work this paper cites.
A compare-aggregate model for matching text sequences
Shuohang Wang and Jing Jiang. 2017 · 2017
Earlier work this paper cites.
The context-dependent additive recurrent neural net
Quan Hung Tran, Tuan Lai, Gholamreza Haffari, Ingrid Zukerman, Trung Bui, and Hung Bui. 2018 · 2018
Earlier work this paper cites.
BERT: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2019 · 2019
Cited alongside, same era.
Openwebtext corpus
Aaron Gokaslan and Vanya Cohen. 2019 · 2019
Cited alongside, same era.
Natural questions: A benchmark for question answering research
Tom Kwiatkowski, Jennimaria Palomaki, Olivia Redfield, Michael Collins, Ankur Parikh, Chris Alberti, Danielle Epstein, Illia Polosukhin, Jacob Devlin, Kenton Lee, Kristina Toutanova, Llion Jones, Matthew Kelcey, Ming-Wei Chang, Andrew M. Dai, Jakob Uszkoreit, Quoc Le, and Slav Petrov. 2019 · 2019
Cited alongside, same era.
Roberta: A robustly optimized bert pretraining approach
Yinhan Liu, Myle Ott, Naman Goyal, Jingfei Du, Mandar Joshi, Danqi Chen, Omer Levy, Mike Lewis, Luke Zettlemoyer, and Veselin Stoyanov. 2019 · 2019
Cited alongside, same era.
A compare-aggregate model with latent clustering for answer selection
Seunghyun Yoon, Franck Dernoncourt, Doo Soon Kim, Trung Bui, and Kyomin Jung. 2019 · 2019
Cited alongside, same era.
Contextualized embeddings based transformer encoder for sentence similarity modeling in answer selection task
Md Tahmid Rahman Laskar, Jimmy Xiangji Huang, and Enamul Hoque. 2020 · 2020
Later among the works it cites.
The cascade transformer: an application for efficient answer sentence selection
Luca Soldaini and Alessandro Moschitti. 2020 · 2020
Later among the works it cites.
Xlnet: Generalized autoregressive pretraining for language understanding
Zhilin Yang, Zihang Dai, Yiming Yang, Jaime Carbonell, Ruslan Salakhutdinov, and Quoc V. Le. 2020 · 2020
Later among the works it cites.
Big bird: Transformers for longer sequences
Manzil Zaheer, Guru Guruganesh, Kumar Avinava Dubey, Joshua Ainslie, Chris Alberti, Santiago Ontanon, Philip Pham, Anirudh Ravula, Qifan Wang, Li Yang, et al. 2020 · 2020
Later among the works it cites.
CDLM: Cross-document language modeling
Avi Caciularu, Arman Cohan, Iz Beltagy, Matthew Peters, Arie Cattan, and Ido Dagan. 2021 · 2021
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
HIBERT: Document level pre-training of hierarchical bidirectional transformers for document summarization
Xingxing Zhang, Furu Wei, and Ming Zhou. 2019 · 2019
Cited alongside, same era.
Pre-training tasks for embedding-based large-scale retrieval
Wei-Cheng Chang, Felix X. Yu, Yin-Wen Chang, Yiming Yang, and Sanjiv Kumar. 2020 · 2020
Cited alongside, same era.
Electra: Pre-training text encoders as discriminators rather than generators
Kevin Clark, Minh-Thang Luong, Quoc V. Le, and Christopher D. Manning. 2020 · 2020
Cited alongside, same era.
Tanda: Transfer and adapt pre-trained transformer models for answer sentence selection
Siddhant Garg, Thuy Vu, and Alessandro Moschitti. 2020 · 2020
Cited alongside, same era.
Toward better storylines with sentence-level language models
Daphne Ippolito, David Grangier, Douglas Eck, and Chris Callison-Burch. 2020 · 2020
Cited alongside, same era.
SpanBERT: Improving pre-training by representing and predicting spans
Mandar Joshi, Danqi Chen, Yinhan Liu, Daniel S. Weld, Luke Zettlemoyer, and Omer Levy. 2020 · 2020
Cited alongside, same era.
Albert: A lite bert for self-supervised learning of language representations
Zhenzhong Lan, Mingda Chen, Sebastian Goodman, Kevin Gimpel, Piyush Sharma, and Radu Soricut. 2020 · 2020
Cited alongside, same era.
SimCSE: Simple contrastive learning of sentence embeddings
Tianyu Gao, Xingcheng Yao, and Danqi Chen. 2021 · 2021
Later among the works it cites.
Will this question be answered? question filtering via answer model distillation for efficient question answering
Siddhant Garg and Alessandro Moschitti. 2021 · 2021
Later among the works it cites.
Self-supervised document similarity ranking via contextualized language models and hierarchical inference
Dvir Ginzburg, Itzik Malkiel, Oren Barkan, Avi Caciularu, and Noam Koenigstein. 2021 · 2021
Later among the works it cites.
DeCLUTR: Deep contrastive learning for unsupervised textual representations
John Giorgi, Osvald Nitski, Bo Wang, and Gary Bader. 2021 · 2021
Later among the works it cites.
Answer sentence selection using local and global context in transformer models
Ivano Lauriola and Alessandro Moschitti. 2021 · 2021
Later among the works it cites.
Torchmetrics - measuring reproducibility in pytorch
Nicki Skafte Detlefsen, Jiri Borovec, Justus Schock, Ananya Harsh Jha, Teddy Koker, Luca Di Liello, Daniel Stancl, Changsheng Quan, Maxim Grechkin, and William Falcon. 2022 · 2022
Closest in time.
Paragraph-based transformer pre-training for multi-sentence inference
Luca Di Liello, Siddhant Garg, Luca Soldaini, and Alessandro Moschitti. 2022 · 2022
Closest in time.