Matches in ScholarlyData for { <https://w3id.org/scholarlydata/inproceedings/lrec2008/papers/272> ?p ?o. }
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- 272 creator heike-bieler.
- 272 creator stefanie-dipper.
- 272 type InProceedings.
- 272 label "Measures for Term and Sentence Relevances: an Evaluation for German".
- 272 sameAs 272.
- 272 abstract "Terms, term relevances, and sentence relevances are concepts that figure in many NLP applications, such as Text Summarization. These concepts are implemented in various ways, though. In this paper, we want to shed light on the impact that different implementations can have on the overall performance of the systems. In particular, we examine the interplay between term definitions and sentence-scoring functions. For this, we define a gold standard that ranks sentences according to their significance and evaluate a range of relevant parameters with respect to the gold standard.".
- 272 hasAuthorList authorList.
- 272 hasTopic Linguistics.
- 272 isPartOf proceedings.
- 272 keyword "Information Extraction, Information Retrieval".
- 272 keyword "Statistical methods".
- 272 keyword "Summarisation".
- 272 title "Measures for Term and Sentence Relevances: an Evaluation for German".