A State-of-the-Art of Semantic Change Computation
| Autor: | Xuri Tang |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
FOS: Computer and information sciences
Linguistics and Language Computer science Computation Evaluation data 02 engineering and technology computer.software_genre Word sense Language and Linguistics Field (computer science) Data visualization Semantic change Artificial Intelligence 020204 information systems 0202 electrical engineering electronic engineering information engineering Theoretical linguistics Computer Science - Computation and Language business.industry 020201 artificial intelligence & image processing Artificial intelligence State (computer science) business computer Computation and Language (cs.CL) Software Natural language processing |
| DOI: | 10.48550/arxiv.1801.09872 |
| Popis: | This paper reviews the state-of-the-art of semantic change computation, one emerging research field in computational linguistics, proposing a framework that summarizes the literature by identifying and expounding five essential components in the field: diachronic corpus, diachronic word sense characterization, change modelling, evaluation data and data visualization. Despite the potential of the field, the review shows that current studies are mainly focused on testifying hypotheses proposed in theoretical linguistics and that several core issues remain to be solved: the need for diachronic corpora of languages other than English, the need for comprehensive evaluation data for evaluation, the comparison and construction of approaches to diachronic word sense characterization and change modelling, and further exploration of data visualization techniques for hypothesis justification. Comment: This is review of the state of the art of semantic change computation, submitted to Natural Language Engineering |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|