ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1706.03610
  4. Cited By
Neural Domain Adaptation for Biomedical Question Answering

Neural Domain Adaptation for Biomedical Question Answering

12 June 2017
Georg Wiese
Dirk Weissenborn
Mariana Neves
    MedIm
    OOD
ArXivPDFHTML

Papers citing "Neural Domain Adaptation for Biomedical Question Answering"

21 / 21 papers shown
Title
Bioformer: an efficient transformer language model for biomedical text
  mining
Bioformer: an efficient transformer language model for biomedical text mining
Li Fang
Qingyu Chen
Chih-Hsuan Wei
Zhiyong Lu
Kai Wang
MedIm
AI4CE
24
18
0
03 Feb 2023
Why is constrained neural language generation particularly challenging?
Why is constrained neural language generation particularly challenging?
Cristina Garbacea
Qiaozhu Mei
59
14
0
11 Jun 2022
Synthetic Target Domain Supervision for Open Retrieval QA
Synthetic Target Domain Supervision for Open Retrieval QA
Revanth Reddy Gangi Reddy
Bhavani Iyer
Md Arafat Sultan
Rong Zhang
Avirup Sil
Vittorio Castelli
Radu Florian
Salim Roukos
OOD
28
12
0
20 Apr 2022
Continual Learning of Long Topic Sequences in Neural Information
  Retrieval
Continual Learning of Long Topic Sequences in Neural Information Retrieval
Thomas Gerald
Laure Soulier
CLL
28
4
0
10 Jan 2022
MERLOT Reserve: Neural Script Knowledge through Vision and Language and
  Sound
MERLOT Reserve: Neural Script Knowledge through Vision and Language and Sound
Rowan Zellers
Jiasen Lu
Ximing Lu
Youngjae Yu
Yanpeng Zhao
Mohammadreza Salehi
Aditya Kusupati
Jack Hessel
Ali Farhadi
Yejin Choi
26
207
0
07 Jan 2022
How Should Pre-Trained Language Models Be Fine-Tuned Towards Adversarial
  Robustness?
How Should Pre-Trained Language Models Be Fine-Tuned Towards Adversarial Robustness?
Xinhsuai Dong
Anh Tuan Luu
Min-Bin Lin
Shuicheng Yan
Hanwang Zhang
SILM
AAML
20
55
0
22 Dec 2021
Recent Advances in Automated Question Answering In Biomedical Domain
Recent Advances in Automated Question Answering In Biomedical Domain
K. D. Baksi
22
0
0
10 Nov 2021
Rumour Detection via Zero-shot Cross-lingual Transfer Learning
Rumour Detection via Zero-shot Cross-lingual Transfer Learning
Lin Tian
Xiuzhen Zhang
Jey Han Lau
46
13
0
27 Sep 2021
Biomedical Question Answering: A Survey of Approaches and Challenges
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
21
95
0
10 Feb 2021
Parameter-Efficient Transfer Learning with Diff Pruning
Parameter-Efficient Transfer Learning with Diff Pruning
Demi Guo
Alexander M. Rush
Yoon Kim
11
383
0
14 Dec 2020
CliniQG4QA: Generating Diverse Questions for Domain Adaptation of
  Clinical Question Answering
CliniQG4QA: Generating Diverse Questions for Domain Adaptation of Clinical Question Answering
Xiang Yue
Xinliang Frederick Zhang
Ziyu Yao
Simon M. Lin
Huan Sun
LM&MA
MedIm
21
35
0
30 Oct 2020
TweetBERT: A Pretrained Language Representation Model for Twitter Text
  Analysis
TweetBERT: A Pretrained Language Representation Model for Twitter Text Analysis
Mohiuddin Md Abdul Qudar
Vijay K. Mago
SSeg
15
35
0
17 Oct 2020
Transferability of Natural Language Inference to Biomedical Question
  Answering
Transferability of Natural Language Inference to Biomedical Question Answering
Minbyul Jeong
Mujeen Sung
Gangwoo Kim
Donghyeon Kim
Wonjin Yoon
J. Yoo
Jaewoo Kang
19
37
0
01 Jul 2020
A Survey on Contextual Embeddings
A Survey on Contextual Embeddings
Qi Liu
Matt J. Kusner
Phil Blunsom
225
146
0
16 Mar 2020
Analyzing the Forgetting Problem in the Pretrain-Finetuning of Dialogue
  Response Models
Analyzing the Forgetting Problem in the Pretrain-Finetuning of Dialogue Response Models
Tianxing He
Jun Liu
Kyunghyun Cho
Myle Ott
Bing-Quan Liu
James R. Glass
Fuchun Peng
CLL
27
9
0
16 Oct 2019
Mixout: Effective Regularization to Finetune Large-scale Pretrained
  Language Models
Mixout: Effective Regularization to Finetune Large-scale Pretrained Language Models
Cheolhyoung Lee
Kyunghyun Cho
Wanmo Kang
MoE
249
205
0
25 Sep 2019
Hashing based Answer Selection
Hashing based Answer Selection
Dong Xu
Wu-Jun Li
11
6
0
26 May 2019
Probing Biomedical Embeddings from Language Models
Probing Biomedical Embeddings from Language Models
Qiao Jin
Bhuwan Dhingra
William W. Cohen
Xinghua Lu
16
116
0
03 Apr 2019
Improving Machine Reading Comprehension with General Reading Strategies
Improving Machine Reading Comprehension with General Reading Strategies
Kai Sun
Dian Yu
Dong Yu
Claire Cardie
AI4CE
16
116
0
31 Oct 2018
Finding Answers from the Word of God: Domain Adaptation for Neural
  Networks in Biblical Question Answering
Finding Answers from the Word of God: Domain Adaptation for Neural Networks in Biblical Question Answering
He Zhao
J. Liu
OOD
13
11
0
26 Oct 2018
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
285
9,138
0
06 Jun 2015
1