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Boosting Low-Resource Biomedical QA via Entity-Aware Masking Strategies

Boosting Low-Resource Biomedical QA via Entity-Aware Masking Strategies

Conference of the European Chapter of the Association for Computational Linguistics (EACL), 2021
16 February 2021
Gabriele Pergola
E. Kochkina
Lin Gui
Maria Liakata
Yulan He
ArXiv (abs)PDFHTML

Papers citing "Boosting Low-Resource Biomedical QA via Entity-Aware Masking Strategies"

18 / 18 papers shown
Title
A Survey of Large Language Models for Healthcare: from Data, Technology, and Applications to Accountability and Ethics
A Survey of Large Language Models for Healthcare: from Data, Technology, and Applications to Accountability and EthicsInformation Fusion (Inf. Fusion), 2023
Kai He
Rui Mao
Qika Lin
Yucheng Ruan
Xiang Lan
Mengling Feng
Xiaoshi Zhong
LM&MAAILaw
534
253
0
28 Jan 2025
SciGisPy: a Novel Metric for Biomedical Text Simplification via Gist
  Inference Score
SciGisPy: a Novel Metric for Biomedical Text Simplification via Gist Inference Score
Chen Lyu
Gabriele Pergola
158
6
0
12 Oct 2024
Society of Medical Simplifiers
Society of Medical Simplifiers
Chen Lyu
Gabriele Pergola
MedIm
138
0
0
12 Oct 2024
Cascading Large Language Models for Salient Event Graph Generation
Cascading Large Language Models for Salient Event Graph Generation
Xingwei Tan
Yuxiang Zhou
Gabriele Pergola
Yulan He
306
8
0
26 Jun 2024
Prompting-based Synthetic Data Generation for Few-Shot Question
  Answering
Prompting-based Synthetic Data Generation for Few-Shot Question AnsweringInternational Conference on Language Resources and Evaluation (LREC), 2024
Maximilian Schmidt
Andrea Bartezzaghi
Ngoc Thang Vu
SyDa
149
10
0
15 May 2024
Leveraging ChatGPT in Pharmacovigilance Event Extraction: An Empirical
  Study
Leveraging ChatGPT in Pharmacovigilance Event Extraction: An Empirical Study
ZHAOYUE SUN
Gabriele Pergola
Byron C. Wallace
Yulan He
LM&MA
188
21
0
24 Feb 2024
Question answering systems for health professionals at the point of care
  -- a systematic review
Question answering systems for health professionals at the point of care -- a systematic review
Gregory Kell
A. Roberts
Serge Umansky
Linglong Qian
Davide Ferrari
Frank Soboczenski
Byron Wallace
Nikhil Patel
Iain J. Marshall
AI4MH
133
19
0
24 Jan 2024
Building Efficient and Effective OpenQA Systems for Low-Resource
  Languages
Building Efficient and Effective OpenQA Systems for Low-Resource Languages
Emrah Budur
Riza Ozccelik
Dilara Soylu
Omar Khattab
Tunga Güngör
Christopher Potts
205
7
0
07 Jan 2024
A Survey of Large Language Models in Medicine: Progress, Application,
  and Challenge
A Survey of Large Language Models in Medicine: Progress, Application, and Challenge
Hongjian Zhou
Fenglin Liu
Boyang Gu
Xinyu Zou
Jinfa Huang
...
Yefeng Zheng
Lei A. Clifton
Zheng Li
Fenglin Liu
David Clifton
LM&MA
508
175
0
09 Nov 2023
Do not Mask Randomly: Effective Domain-adaptive Pre-training by Masking
  In-domain Keywords
Do not Mask Randomly: Effective Domain-adaptive Pre-training by Masking In-domain KeywordsWorkshop on Representation Learning for NLP (RepL4NLP), 2023
Shahriar Golchin
Mihai Surdeanu
N. Tavabi
A. Kiapour
98
6
0
14 Jul 2023
Event Temporal Relation Extraction with Bayesian Translational Model
Event Temporal Relation Extraction with Bayesian Translational ModelConference of the European Chapter of the Association for Computational Linguistics (EACL), 2023
Xingwei Tan
Gabriele Pergola
Yulan He
AI4TS
190
13
0
10 Feb 2023
Event-Centric Question Answering via Contrastive Learning and Invertible
  Event Transformation
Event-Centric Question Answering via Contrastive Learning and Invertible Event TransformationConference on Empirical Methods in Natural Language Processing (EMNLP), 2022
Junru Lu
Xingwei Tan
Gabriele Pergola
Lin Gui
Yulan He
183
12
0
24 Oct 2022
Summarizing Patients Problems from Hospital Progress Notes Using
  Pre-trained Sequence-to-Sequence Models
Summarizing Patients Problems from Hospital Progress Notes Using Pre-trained Sequence-to-Sequence ModelsInternational Conference on Computational Linguistics (COLING), 2022
Yanjun Gao
Dmitriy Dligach
T. Miller
Dongfang Xu
M. Churpek
Majid Afshar
AI4MH
180
42
0
17 Aug 2022
Hero-Gang Neural Model For Named Entity Recognition
Hero-Gang Neural Model For Named Entity RecognitionNorth American Chapter of the Association for Computational Linguistics (NAACL), 2022
Jinpeng Hu
Yaling Shen
Yang Liu
Xiang Wan
Tsung-Hui Chang
108
19
0
15 May 2022
Disentangled Learning of Stance and Aspect Topics for Vaccine Attitude
  Detection in Social Media
Disentangled Learning of Stance and Aspect Topics for Vaccine Attitude Detection in Social MediaNorth American Chapter of the Association for Computational Linguistics (NAACL), 2022
Lixing Zhu
Zheng Fang
Gabriele Pergola
Rob Procter
Yulan He
134
8
0
06 May 2022
BioADAPT-MRC: Adversarial Learning-based Domain Adaptation Improves
  Biomedical Machine Reading Comprehension Task
BioADAPT-MRC: Adversarial Learning-based Domain Adaptation Improves Biomedical Machine Reading Comprehension Task
Maria Mahbub
Sudarshan Srinivasan
Edmon Begoli
Gregory D. Peterson
222
11
0
26 Feb 2022
Anticipating Safety Issues in E2E Conversational AI: Framework and
  Tooling
Anticipating Safety Issues in E2E Conversational AI: Framework and Tooling
Emily Dinan
Gavin Abercrombie
A. S. Bergman
Shannon L. Spruit
Dirk Hovy
Y-Lan Boureau
Verena Rieser
230
115
0
07 Jul 2021
AMMU : A Survey of Transformer-based Biomedical Pretrained Language
  Models
AMMU : A Survey of Transformer-based Biomedical Pretrained Language ModelsJournal of Biomedical Informatics (JBI), 2021
Katikapalli Subramanyam Kalyan
A. Rajasekharan
S. Sangeetha
LM&MAMedIm
311
186
0
16 Apr 2021
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