Utilizing Temporal Information in Topic Detection and Tracking
| Autor: | Helena Ahonen-Myka, Juha Makkonen |
|---|---|
| Rok vydání: | 2003 |
| Předmět: |
Scheme (programming language)
Information retrieval Computer science 02 engineering and technology Temporal expressions Tracking (particle physics) 020204 information systems Similarity (psychology) 0202 electrical engineering electronic engineering information engineering Temporal similarity 020201 artificial intelligence & image processing Temporal information computer computer.programming_language |
| Zdroj: | Research and Advanced Technology for Digital Libraries ISBN: 9783540407263 ECDL |
| DOI: | 10.1007/978-3-540-45175-4_36 |
| Popis: | The harnessing of time-related information from text for the use of information retrieval requires a leap from the surface forms of the expressions to a formalized time-axis. Often the expressions are used to form chronological sequences of events. However, we want to be able to determine the temporal similarity, i.e., the overlap of temporal references of two documents and use this similarity in Topic Detection and Tracking, for example. We present a methodology for extraction of temporal expressions and a scheme of comparing the temporal evidence of the news documents. We also examine the behavior of the temporal expressions and run experiments on English News corpus. |
| Databáze: | OpenAIRE |
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