Abstract
Exploring aspects of sentential meaning that are implicit or underspecified in context is important for sentence understanding. In this paper, we propose a novel architecture based on mentions for revision requirements detection. The goal is to improve understandability, addressing some types of revisions, especially for the Replaced Pronoun type. We show that our mention-based system can predict replaced pronouns well on the mentionlevel. However, our combined sentence-level system does not improve on the sentence-level BERT baseline. We also present additional contrastive systems, and show results for each type of edit.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the First Workshop on Understanding Implicit and Underspecified Language (UnImplicit) |
| Publisher | Association for Computational Linguistics |
| Publication date | 2021 |
| Pages | 58-63 |
| Publication status | Published - 2021 |
| Event | Workshop on Understanding Implicit and Underspecified Language - VIRTUAL Duration: 5 Aug 2021 → 6 Aug 2021 Conference number: 1 |
Workshop
| Workshop | Workshop on Understanding Implicit and Underspecified Language |
|---|---|
| Number | 1 |
| City | VIRTUAL |
| Period | 05/08/2021 → 06/08/2021 |
Keywords
- Sentential meaning
- Contextual underspecification
- Revision requirements detection
- Mention-based architecture
- Replaced Pronoun detection
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