QA4MRE 2011-2013: Overview of Question Answering for Machine Reading Evaluation
By Anselmo Peñas, Eduard H. Hovy, Pamela Forner, Álvaro Rodrigo, Richard F. E. Sutcliffe, R. Morante. 2013
49 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Natural Language Processing, Evaluation & Benchmarks
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Luke S. Zettlemoyer
- Percy Liang
- Mohit Bansal
- Hannaneh Hajishirzi
- Yejin Choi
- Michael Lewis
- Graham Neubig
- Jianfeng Gao
In Natural Language Processing
- Percy Liang
- Luke S. Zettlemoyer
- Mohit Bansal
- Jonathan Berant
- Robin Jia
- Samuel R. Bowman
- Yejin Choi
- Michael Lewis
In Evaluation & Benchmarks
- Luke S. Zettlemoyer
- Robin Jia
- Percy Liang
- Michael Lewis
- Bhuwan Dhingra
- William W. Cohen
- Amita Kamath
- Stella Biderman
Citations in the corpus
- GPT-NeoX-20B: An Open-Source Autoregressive Language Model (2022, background): “, 2021), QA4MRE (Peñas et al., 2013) (2013), SciQ (Welbl et al.”
- PubMedQA: A Dataset for Biomedical Research Question Answering (2019, background): “QA4MRE (Pe˜nas et al., 2013) included a QA task about Alzheimer’s disease (Morante et al., 2012).”
- Question Answering Infused Pre-training of General-Purpose Contextualized Representations (2021, background): “…work using question-answer pairs as a meaning representation (He et al., 2015; Michael et al., 2018), and more generally from the tradition of using question answering ability as a proxy for language understanding (Lehnert, 1977; Hirschman et al., 1999; Peñas et al., 2013; Richardson et al., 2013).”
- Selective Question Answering under Domain Shift (2020, background): “Knowing when to abstain has been part of past QA shared tasks like RespubliQA (Pe˜nas et al., 2009) and QA4MRE (Pe˜nas et al., 2013).”