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Addressing Semantic Drift in Question Generation for Semi-Supervised
  Question Answering

Addressing Semantic Drift in Question Generation for Semi-Supervised Question Answering

13 September 2019
Shiyue Zhang
Mohit Bansal
ArXivPDFHTML

Papers citing "Addressing Semantic Drift in Question Generation for Semi-Supervised Question Answering"

21 / 21 papers shown
Title
QAEA-DR: A Unified Text Augmentation Framework for Dense Retrieval
QAEA-DR: A Unified Text Augmentation Framework for Dense Retrieval
Hongming Tan
Shaoxiong Zhan
Hai Lin
Hai-Tao Zheng
Wai Kin Chan
RALM
48
1
0
29 Jul 2024
Training on Synthetic Data Beats Real Data in Multimodal Relation
  Extraction
Training on Synthetic Data Beats Real Data in Multimodal Relation Extraction
Zilin Du
Haoxin Li
Xu Guo
Boyang Li
25
1
0
05 Dec 2023
Ask To The Point: Open-Domain Entity-Centric Question Generation
Ask To The Point: Open-Domain Entity-Centric Question Generation
Yuxiang Liu
Jie Huang
Kevin Chen-Chuan Chang
31
3
0
21 Oct 2023
A Practical Toolkit for Multilingual Question and Answer Generation
A Practical Toolkit for Multilingual Question and Answer Generation
Asahi Ushio
Fernando Alva-Manchego
Jose Camacho-Collados
SyDa
24
13
0
27 May 2023
ProKnow: Process Knowledge for Safety Constrained and Explainable
  Question Generation for Mental Health Diagnostic Assistance
ProKnow: Process Knowledge for Safety Constrained and Explainable Question Generation for Mental Health Diagnostic Assistance
Kaushik Roy
Manas Gaur
Misagh Soltani
Vipula Rawte
A. Kalyan
Amit P. Sheth
AI4MH
28
27
0
13 May 2023
SkillQG: Learning to Generate Question for Reading Comprehension
  Assessment
SkillQG: Learning to Generate Question for Reading Comprehension Assessment
Xiaoqiang Wang
Bang Liu
Siliang Tang
Lingfei Wu
10
3
0
08 May 2023
Borrowing Human Senses: Comment-Aware Self-Training for Social Media
  Multimodal Classification
Borrowing Human Senses: Comment-Aware Self-Training for Social Media Multimodal Classification
Chunpu Xu
Jing Li
VLM
13
5
0
27 Mar 2023
Generative Language Models for Paragraph-Level Question Generation
Generative Language Models for Paragraph-Level Question Generation
Asahi Ushio
Fernando Alva-Manchego
Jose Camacho-Collados
ELM
11
45
0
08 Oct 2022
Selecting Better Samples from Pre-trained LLMs: A Case Study on Question
  Generation
Selecting Better Samples from Pre-trained LLMs: A Case Study on Question Generation
Xingdi Yuan
Tong Wang
Yen-Hsiang Wang
Emery Fine
Rania Abdelghani
Pauline Lucas
Hélene Sauzéon
Pierre-Yves Oudeyer
17
28
0
22 Sep 2022
QRelScore: Better Evaluating Generated Questions with Deeper
  Understanding of Context-aware Relevance
QRelScore: Better Evaluating Generated Questions with Deeper Understanding of Context-aware Relevance
Xiaoqiang Wang
Bang Liu
Siliang Tang
Lingfei Wu
14
9
0
29 Apr 2022
Unified Question Generation with Continual Lifelong Learning
Unified Question Generation with Continual Lifelong Learning
Wei Yuan
Hongzhi Yin
Tieke He
Tong Chen
Qiufeng Wang
Li-zhen Cui
28
9
0
24 Jan 2022
Keep it Simple: Unsupervised Simplification of Multi-Paragraph Text
Keep it Simple: Unsupervised Simplification of Multi-Paragraph Text
Philippe Laban
Tobias Schnabel
Paul N. Bennett
Marti A. Hearst
11
60
0
07 Jul 2021
Reinforcement Learning for Abstractive Question Summarization with
  Question-aware Semantic Rewards
Reinforcement Learning for Abstractive Question Summarization with Question-aware Semantic Rewards
S. Yadav
D. Gupta
Asma Ben Abacha
Dina Demner-Fushman
OffRL
6
33
0
01 Jul 2021
Class-Incremental Experience Replay for Continual Learning under Concept
  Drift
Class-Incremental Experience Replay for Continual Learning under Concept Drift
Lukasz Korycki
Bartosz Krawczyk
8
31
0
24 Apr 2021
DORB: Dynamically Optimizing Multiple Rewards with Bandits
DORB: Dynamically Optimizing Multiple Rewards with Bandits
Ramakanth Pasunuru
Han Guo
Mohit Bansal
OffRL
25
6
0
15 Nov 2020
Exploring Question-Specific Rewards for Generating Deep Questions
Exploring Question-Specific Rewards for Generating Deep Questions
Yuxi Xie
Liangming Pan
Dongzhe Wang
Min-Yen Kan
Yansong Feng
25
27
0
02 Nov 2020
Multi-hop Question Generation with Graph Convolutional Network
Multi-hop Question Generation with Graph Convolutional Network
Dan Su
Yan Xu
Wenliang Dai
Ziwei Ji
Tiezheng Yu
Pascale Fung
15
39
0
19 Oct 2020
Improving Machine Reading Comprehension with Contextualized Commonsense
  Knowledge
Improving Machine Reading Comprehension with Contextualized Commonsense Knowledge
Kai Sun
Dian Yu
Jianshu Chen
Dong Yu
Claire Cardie
17
12
0
12 Sep 2020
Reinforcement Learning Based Graph-to-Sequence Model for Natural
  Question Generation
Reinforcement Learning Based Graph-to-Sequence Model for Natural Question Generation
Yu Chen
Lingfei Wu
Mohammed J. Zaki
GNN
14
152
0
14 Aug 2019
Unified Language Model Pre-training for Natural Language Understanding
  and Generation
Unified Language Model Pre-training for Natural Language Understanding and Generation
Li Dong
Nan Yang
Wenhui Wang
Furu Wei
Xiaodong Liu
Yu-Chiang Frank Wang
Jianfeng Gao
M. Zhou
H. Hon
ELM
AI4CE
29
1,533
0
08 May 2019
Speaker-Follower Models for Vision-and-Language Navigation
Speaker-Follower Models for Vision-and-Language Navigation
Daniel Fried
Ronghang Hu
Volkan Cirik
Anna Rohrbach
Jacob Andreas
Louis-Philippe Morency
Taylor Berg-Kirkpatrick
Kate Saenko
Dan Klein
Trevor Darrell
LM&Ro
LRM
246
495
0
07 Jun 2018
1