Learning a Cost-Effective Annotation Policy for Question Answering

Type: Article

Publication Date: 2020-01-01

Citations: 9

DOI: https://doi.org/10.18653/v1/2020.emnlp-main.246

Locations

  • arXiv (Cornell University) - View - PDF
  • Repository for Publications and Research Data (ETH Zurich) - View - PDF

Similar Works

Action Title Year Authors
+ Learning a Cost-Effective Annotation Policy for Question Answering 2020 Bernhard Kratzwald
Stefan Feuerriegel
Huan Sun
+ Practical Annotation Strategies for Question Answering Datasets 2020 Bernhard Kratzwald
Xiang Yue
Huan Sun
Stefan Feuerriegel
+ Practical Annotation Strategies for Question Answering Datasets. 2020 Bernhard Kratzwald
Xiang Yue
Huan Sun
Stefan Feuerriegel
+ BERTVision -- A Parameter-Efficient Approach for Question Answering 2022 Siduo Jiang
Cristopher Benge
William C. King
+ Optimal and Efficient Binary Questioning for Human-in-the-Loop Annotation 2023 Franco Marchesoni-Acland
Jean‐Michel Morel
Josselin Kherroubi
Gabriele Facciolo
+ PDF Chat Fine-tuning Strategies for Domain Specific Question Answering under Low Annotation Budget Constraints 2023 Kunpeng Guo
Dennis Diefenbach
Antoine Gourru
Christophe Gravier
+ Improving Low-Resource Question Answering using Active Learning in Multiple Stages 2022 Maximilian Schmidt
Andrea Bartezzaghi
Jasmina Bogojeska
A. Cristiano I. Malossi
Thang X. Vu
+ SF-QA: Simple and Fair Evaluation Library for Open-domain Question Answering 2021 Xiaopeng Lu
Kyusong Lee
Tiancheng Zhao
+ PDF Chat SF-QA: Simple and Fair Evaluation Library for Open-domain Question Answering 2021 Xiaopeng Lu
Kyusong Lee
Tiancheng Zhao
+ SF-QA: Simple and Fair Evaluation Library for Open-domain Question Answering 2021 Xiaopeng Lu
Kyusong Lee
Tiancheng Zhao
+ Improving Question Answering Performance through Manual Annotation: Costs, Benefits and Strategies 2022 Piotr Rybak
Piotr Przybyła
Maciej Ogrodniczuk
+ PDF Chat Unsupervised LLM Adaptation for Question Answering 2024 Kuniaki Saito
Kihyuk Sohn
Chen‐Yu Lee
Yoshitaka Ushiku
+ A Pipeline for Generating, Annotating and Employing Synthetic Data for Real World Question Answering 2022 Matt Maufe
James Ravenscroft
Rob Procter
Maria Liakata
+ PDF Chat Enhancing Question Answering on Charts Through Effective Pre-training Tasks 2024 Ashim Gupta
Vivek Gupta
Shuo Zhang
Yujie He
Ning Zhang
Shalin Shah
+ A Pipeline for Generating, Annotating and Employing Synthetic Data for Real World Question Answering 2022 Matthew Maufe
James Ravenscroft
Rob Procter
Maria Liakata
+ Simple and Effective Semi-Supervised Question Answering 2018 Bhuwan Dhingra
Danish Pruthi
Dheeraj Rajagopal
+ Simple and Effective Semi-Supervised Question Answering 2018 Bhuwan Dhingra
Danish Pruthi
Dheeraj Rajagopal
+ Few-shot Unified Question Answering: Tuning Models or Prompts? 2023 Srijan Bansal
Semih Yavuz
Bo Pang
Meghana Bhat
Yingbo Zhou
+ Few-shot Unified Question Answering: Tuning Models or Prompts? 2023 Srijan Bansal
Semih Yavuz
Bo Pang
Meghana Bhat
Yingbo Zhou
+ PDF Chat Context Filtering with Reward Modeling in Question Answering 2024 Sangryul Kim
James H. Thorne

Works Cited by This (29)

Action Title Year Authors
+ The foundations of cost-sensitive learning 2001 Charles Elkan
+ PDF Chat Neural Symbolic Machines: Learning Semantic Parsers on Freebase with Weak Supervision 2017 Liang Chen
Jonathan Berant
Quoc V. Le
Kenneth D. Forbus
Ni Lao
+ NewsQA: A Machine Comprehension Dataset 2017 Adam Trischler
Tong Wang
Xingdi Yuan
Justin Harris
Alessandro Sordoni
Philip Bachman
Kaheer Suleman
+ R$^3$: Reinforced Reader-Ranker for Open-Domain Question Answering 2017 Shuohang Wang
Mo Yu
Xiaoxiao Guo
Zhiguo Wang
Tim Klinger
Wei Zhang
Shiyu Chang
Gerald Tesauro
Bowen Zhou
Jing Jiang
+ PDF Chat Ranking Paragraphs for Improving Answer Recall in Open-Domain Question Answering 2018 Jinhyuk Lee
Seongjun Yun
Hyunjae Kim
Miyoung Ko
Jaewoo Kang
+ PDF Chat HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answering 2018 Zhilin Yang
Peng Qi
Saizheng Zhang
Yoshua Bengio
William W. Cohen
Ruslan Salakhutdinov
Christopher D. Manning
+ PDF Chat Semi-Supervised Sequence Modeling with Cross-View Training 2018 Kevin Clark
Minh-Thang Luong
Christopher D. Manning
Quoc V. Le
+ RankQA: Neural Question Answering with Answer Re-Ranking 2019 Bernhard Kratzwald
Anna Eigenmann
Stefan Feuerriegel
+ Latent Retrieval for Weakly Supervised Open Domain Question Answering 2019 Kenton Lee
Ming‐Wei Chang
Kristina Toutanova
+ MS MARCO: A Human Generated MAchine Reading COmprehension Dataset 2016 Payal Bajaj
Daniel Campos
Nick Craswell
Li Deng
Jianfeng Gao
Xiaodong Liu
Rangan Majumder
Andrew McNamara
Bhaskar Mitra
Tri Gia Nguyen