Number of found records: 80
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KARAKAYA, K. Murat; GÜVENIR, H. Altay |
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ARG: a tool for automatic report generation. |
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PDF |
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The expansion of on-line text with the rapid growth of the Internet imposes utilizing Data Mining techniques to reveal the information embedded in these documents. Therefore text classification and text summarization are two of the most important application areas. In this work, we attempt to integrate these two techniques to help the user to compile and extract the information that is needed. Basically, we propose a two-phase algorithm in which the paragraphs in the documents are first classified according to given topics and then each topic is summarized to constitute the automatically generated report (AU) |
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Data mining; text summarization; text classification; automatic report generation |
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KAY, Roderick; AYLETT, Ruth |
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Transitivity and foregrounding in news articles: experiments in information retrieval and automatic summarising |
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34th Annual Meeting of the Association for Computational Linguistics, 1996 |
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PDF |
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This paper describes an on-going study which applies the concept of transitivity to news discourse for text processing tasks. The complex notion of transitivity is defined and the relationship between transitivity and information foregrounding is explained. A sample corpus of news articles has been coded for transitivity. The corpus is being used in two text processing experiments (AU) |
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transitivity; text processing |
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Knoweldge Acquisition & Machine Learning Research Group |
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The Text Summarization Project |
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Université d’Ottawa. Knowledge Acquisition & Machine Learning Research Group, 1996-2001 |
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On line ( 15/06/2004) |
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Presentation of The Text Summarization Project and the team in charge, with active links to websites, conferences, articles, books… |
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Summarization |
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LAL, Partha; RUEGER, Stefan |
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Extract-based Summarization with Simplification |
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DUC 2002, Workshop on Text Summarization |
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PDF |
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We describe a single-document text summarizer using the Text Engineering framework GATE. The summariser extracts sentences using a combination of simple Bayes classifiers, resolves anaphora using GATE's ANNIE module, simplifies words using the MRC psycho-linguistic database and WordNet, and supplies background information to named persons and places using internet resources (AU) |
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GATE; summarizer; ANNIE module; MRC psycho-linguistic database; WordNet |
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