Recent advances in processing negation. (17th March 2021)
- Record Type:
- Journal Article
- Title:
- Recent advances in processing negation. (17th March 2021)
- Main Title:
- Recent advances in processing negation
- Authors:
- Morante, Roser
Blanco, Eduardo - Abstract:
- Abstract: Negation is a complex linguistic phenomenon present in all human languages. It can be seen as an operator that transforms an expression into another expression whose meaning is in some way opposed to the original expression. In this article, we survey previous work on negation with an emphasis on computational approaches. We start defining negation and two important concepts: scope and focus of negation. Then, we survey work in natural language processing that considers negation primarily as a means to improve the results in some task. We also provide information about corpora containing negation annotations in English and other languages, which usually include a combination of annotations of negation cues, scopes, foci, and negated events. We continue the survey with a description of automated approaches to process negation, ranging from early rule-based systems to systems built with traditional machine learning and neural networks. Finally, we conclude with some reflections on current progress and future directions.
- Is Part Of:
- Natural language engineering. Volume 27:Part 2(2021)
- Journal:
- Natural language engineering
- Issue:
- Volume 27:Part 2(2021)
- Issue Display:
- Volume 27, Issue 2, Part 2 (2021)
- Year:
- 2021
- Volume:
- 27
- Issue:
- 2
- Part:
- 2
- Issue Sort Value:
- 2021-0027-0002-0002
- Page Start:
- 121
- Page End:
- 130
- Publication Date:
- 2021-03-17
- Subjects:
- Processing negation, -- Focus, -- Scope, -- Semantics
Natural language processing (Computer science) -- Periodicals
Software engineering -- Periodicals
006.35 - Journal URLs:
- http://journals.cambridge.org/action/displayJournal?jid=NLE ↗
- DOI:
- 10.1017/S1351324920000534 ↗
- Languages:
- English
- ISSNs:
- 1351-3249
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD Digital store
- Ingest File:
- 16598.xml