Summary of the paper
| Title | Automatic Summarization Using Terminological and Semantic Resources |
|---|---|
| Authors | Jorge Vivaldi, Iria da Cunha, Juan Manuel Torres-Moreno and Patricia Velázquez-Morales |
| Abstract | This paper presents a new algorithm for automatic summarization of specializedtexts combining terminological and semantic resources: a term extractor and anontology. The term extractor provides the list of the terms that are present inthe text together their corresponding termhood. The ontology is used tocalculate the semantic similarity among the terms found in the main body andthose present in the document title. The general idea is to obtain a relevance score for each sentence taking intoaccount both the ”termhood” of the terms found in such sentence and thesimilarity among such terms and those terms present in the title of thedocument. The phrases with the highest score are chosen to take part of thefinal summary. We evaluate the algorithm with Rouge, comparing the resulting summaries withthe summaries of other summarizers. The sentence selection algorithm was alsotested as part of a standalone summarizer. In both cases it obtains quite good results although the perception is thatthere is a space for improvement. |
| Language | Other |
| Topics | Summarisation, Ontologies, Other |
Full paper  |
Automatic Summarization Using Terminological and Semantic Resources |
| Bibtex | @InProceedings{VIVALDI10.400, author = {Jorge Vivaldi, Iria da Cunha, Juan Manuel Torres-Moreno and Patricia Velázquez-Morales}, title = {Automatic Summarization Using Terminological and Semantic Resources}, booktitle = {Proceedings of the Seventh conference on International Language Resources and Evaluation (LREC'10)}, year = {2010}, month = {may}, date = {19-21}, address = {Valletta, Malta}, editor = {Nicoletta Calzolari (Conference Chair), Khalid Choukri, Bente Maegaard, Joseph Mariani, Jan Odjik, Stelios Piperidis, Mike Rosner, Daniel Tapias}, publisher = {European Language Resources Association (ELRA)}, isbn = {2-9517408-6-7}, language = {english} } |