André F T Martins
Biographic Data
| ID | 6537010 |
|---|---|
| NAME | André F T Martins |
| GIVEN NAMES | André F T |
| FAMILY NAME | Martins |
| SIGNATURE | MARTINS A F T |
| AFFILIATIONS | Universidade Federal do Rio de Janeiro |
| ORCID | 0000-0001-8282-625X |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 5 |
| AUTHOR COUNT | 2 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2013 |
| LATEST PUBLICATION YEAR | 2022 |
| H-INDEX | 1 |
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Frame-Semantic Parsing
Frame semantics is a linguistic theory that has been instantiated for English in the FrameNet lexicon. We solve the problem of frame-semantic parsing using a two-stage statistical model that takes lexical targets (i.e., content words and phrases) in their sentential contexts and predicts frame-semantic structures. Given a target in context, the first stage disambiguates it to a semantic frame. This model uses latent variables and semi-supervised …
Frame-Semantic Parsing
Frame semantics is a linguistic theory that has been instantiated for English in the FrameNet lexicon. We solve the problem of frame-semantic parsing using a two-stage statistical model that takes lexical targets (i.e., content words and phrases) in their sentential contexts and predicts frame-semantic structures. Given a target in context, the first stage disambiguates it to a semantic frame. This model uses latent variables and semi-supervised …
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Frame-Semantic Parsing
Frame semantics is a linguistic theory that has been instantiated for English in the FrameNet lexicon. We solve the problem of frame-semantic parsing using a two-stage statistical model that takes lexical targets (i.e., content words and phrases) in their sentential contexts and predicts frame-semantic structures. Given a target in context, the first stage disambiguates it to a semantic frame. This model uses latent variables and semi-supervised …
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Artificial Intelligence (1 works) · Benchmark (surveying (1 works) · Computer Science (1 works) · Feature (linguistics (1 works) · Frame (networking (1 works) · FrameNet (1 works) · Humanities (1 works) · Linguistics (1 works) · Multimodal Machine Learning Applications (1 works) · Natural language processing (1 works)