Is Sluice Resolution really just Question Answering?
Not on the map. Why?
Abstract (arXiv)
Sluice resolution is a problem where a system needs to output the corresponding antecedents of wh-ellipses. The antecedents are elided contents behind the wh-words but are implicitly referred to using contexts. Previous work frames sluice resolution as question answering where this setting outperforms all its preceding works by large margins. Ellipsis and questions are referentially dependent expressions (anaphoras) and retrieving the corresponding antecedents are like answering questions to output pieces of clarifying information. However, the task is not fully solved. Therefore, we want to further investigate what makes sluice resolution differ to question answering and fill in the error gaps. We also present some results using recent state-of-the-art question answering systems which improve the previous work (86.01 to 90.39 F1).
Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 7 of its 13 references that are in the map. First posted on arXiv 29 May 2021.
Builds on
7 of 13 references.
References · 7
- 2018BERT: Pre-training of Deep Bidirectional Transformers for Language Understandingcited by 40,399
- 2019RoBERTa: A Robustly Optimized BERT Pretraining Approachcited by 13,372
- 2016SQuAD: 100,000+ Questions for Machine Comprehension of Textcited by 4,148
- 2019SpanBERT: Improving Pre-training by Representing and Predicting Spanscited by 834
- 2020LUKE: Deep Contextualized Entity Representations with Entity-aware Self-attentioncited by 326
- 2019Question Answering is a Format; When is it Useful?cited by 25
- 2016Learning Recurrent Span Representations for Extractive Question Answeringcited by 14
Built on by
Not cited yet.