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| Desambiguació del sentit de les paraules (WSD)× | Reconeixement d'Entitats Nomenades (NER)× | |
|---|---|---|
| Camp | Mineria de text | Mineria de text |
| Família | Process / pipeline | Process / pipeline |
| Any d'origen≠ | 2009 | — |
| Autor original≠ | Navigli (survey, 2009) | — |
| Tipus≠ | NLP semantic-disambiguation task | NLP sequence-labelling task |
| Font seminal≠ | Navigli, R. (2009). Word Sense Disambiguation: A Survey. ACM Computing Surveys (CSUR), 41(2), Article 10, 1-69. DOI ↗ | Nadeau, D. & Sekine, S. (2007). A survey of named entity recognition. Lingvisticae Investigationes. link ↗ |
| Àlies | WSD, sense tagging, Sözcük Anlamı Belirsizlik Giderme (WSD) | NER, entity tagging, Adlandırılmış Varlık Tanıma (NER) |
| Relacionats≠ | 2 | 3 |
| Resum≠ | Word sense disambiguation (WSD) is the natural-language-processing task of choosing the correct meaning of a polysemous word from its context. Surveyed by Navigli (2009), it resolves which sense of a many-meaning word applies in a given sentence, improving the quality of information retrieval, machine translation, and question answering. | Named entity recognition (NER) is a natural-language-processing task that automatically detects and labels entities in text — such as people, organisations, locations, and dates. Surveyed by Nadeau and Sekine (2007) and later advanced with neural architectures by Lample et al. (2016), it turns free-running text into tagged spans that downstream tools can use. |
| ScholarGateConjunt de dades ↗ |
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