Comparing and harmonizing different verb classifications in light of a semantic annotation task
Bibliographic Data
| ID | 10292768 |
|---|---|
| Authors | Christiane Fellbaum (Princeton University, corresponding author), Collin F Baker (International Computer Science Institute) |
| Year | 2013 |
| Volume | 51 |
| Issue | 4 |
| Publication date | 2013-01-28 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Linguistics (JOURNAL) |
| Journal identifiers | ISSN: 0024-3949 • E-ISSN: 1613-396X |
| Publisher | Walter de Gruyter GmbH (PUBLISHER • DE) |
| DOI | 10.1515/ling-2013-0025 |
| OpenAlex | W2320764906 |
| Language | EN |
| Citations received | 3 |
The verb lexicon can be classified in different and complementary ways; each approach faces challenges and limits. We focus on two large-scale lexical resources, WordNet (Miller et al. 1990; Fellbaum 1998) and FrameNet (Baker et al. 2003). WordNet is a semantic network where lexical meaning is represented in terms of relations among word forms. In contrast to WordNet's paradigmatically organized entries, FrameNet's Lexical Units are embedded in corpus-derived contexts, which serve as a basis for semantic distinctions. The classificatory perspective that each resource contributes to the analysis of the verb lexicon is illustrated with specific examples
Annotation · Focus (optics) · FrameNet · Lexicon · Linguistics · Natural language processing · Parsing · Perspective (graphical) · Task (project management) · Verb · WordNet · Artificial Intelligence · Authorship Attribution and Profiling · Computer Science · Natural Language Processing Techniques · Philosophy · Topic Modeling
| Citations per year | 0.25 |
|---|---|
| Citation span | 2014 - 2024 (11) |
| Highly cited | No |