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Evaluating Rewards for Question Generation Models

Evaluating Rewards for Question Generation Models

28 February 2019
Tom Hosking
Sebastian Riedel
ArXivPDFHTML

Papers citing "Evaluating Rewards for Question Generation Models"

13 / 13 papers shown
Title
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
41
3
0
21 Oct 2023
Question Answering with Deep Neural Networks for Semi-Structured
  Heterogeneous Genealogical Knowledge Graphs
Question Answering with Deep Neural Networks for Semi-Structured Heterogeneous Genealogical Knowledge Graphs
Omri Suissa
M. Zhitomirsky-Geffet
Avshalom Elmalech
GNN
BDL
29
8
0
30 Jul 2023
A Pipeline for Generating, Annotating and Employing Synthetic Data for
  Real World Question Answering
A Pipeline for Generating, Annotating and Employing Synthetic Data for Real World Question Answering
Matthew Maufe
James Ravenscroft
Rob Procter
Maria Liakata
24
3
0
30 Nov 2022
Evaluating the Knowledge Dependency of Questions
Evaluating the Knowledge Dependency of Questions
Hyeongdon Moon
Yoonseok Yang
Jamin Shin
Hangyeol Yu
Seunghyun Lee
Myeongho Jeong
Juneyoung Park
Minsam Kim
Seungtaek Choi
AI4Ed
23
10
0
21 Nov 2022
RQUGE: Reference-Free Metric for Evaluating Question Generation by
  Answering the Question
RQUGE: Reference-Free Metric for Evaluating Question Generation by Answering the Question
Alireza Mohammadshahi
Thomas Scialom
Majid Yazdani
Pouya Yanki
Angela Fan
James Henderson
Marzieh Saeidi
31
20
0
02 Nov 2022
Automatic question generation based on sentence structure analysis using
  machine learning approach
Automatic question generation based on sentence structure analysis using machine learning approach
Miroslav Blšták
Viera Rozinajová
19
17
0
25 May 2022
Asking Questions Like Educational Experts: Automatically Generating
  Question-Answer Pairs on Real-World Examination Data
Asking Questions Like Educational Experts: Automatically Generating Question-Answer Pairs on Real-World Examination Data
Fanyi Qu
Xin Jia
Yunfang Wu
AI4Ed
91
24
0
11 Sep 2021
Generating Self-Contained and Summary-Centric Question Answer Pairs via
  Differentiable Reward Imitation Learning
Generating Self-Contained and Summary-Centric Question Answer Pairs via Differentiable Reward Imitation Learning
Li Zhou
Kevin Small
Yong Zhang
Sandeep Atluri
32
2
0
10 Sep 2021
PAQ: 65 Million Probably-Asked Questions and What You Can Do With Them
PAQ: 65 Million Probably-Asked Questions and What You Can Do With Them
Patrick Lewis
Yuxiang Wu
Linqing Liu
Pasquale Minervini
Heinrich Küttler
Aleksandra Piktus
Pontus Stenetorp
Sebastian Riedel
RALM
28
228
0
13 Feb 2021
EQG-RACE: Examination-Type Question Generation
EQG-RACE: Examination-Type Question Generation
Xin Jia
Wenjie Zhou
Xu Sun
Yunfang Wu
AI4Ed
23
39
0
11 Dec 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
48
27
0
02 Nov 2020
A Survey of Evaluation Metrics Used for NLG Systems
A Survey of Evaluation Metrics Used for NLG Systems
Ananya B. Sai
Akash Kumar Mohankumar
Mitesh M. Khapra
ELM
30
228
0
27 Aug 2020
Addressing Semantic Drift in Question Generation for Semi-Supervised
  Question Answering
Addressing Semantic Drift in Question Generation for Semi-Supervised Question Answering
Shiyue Zhang
Joey Tianyi Zhou
24
140
0
13 Sep 2019
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