Number of found records: 80
|
SPARCK JONES, Karen |
|
Summarising: analytic framework, key component, experimental method. |
|
On line (11/05/2005) |
|
This deals with internal and external factors related to automated summarizing, its key components and experimental methods (AU) |
|
automated summarizing; input factors; output factors |
Assessment |
|
|
|
|
STEIN, Gees C.; BAGGA, Amit; WISE, G. Bowden |
|
Multi-Document Summarization: Methodologies and Evaluations. |
|
PDF |
|
This paper describes a system for the summarization of multiple documents. The system produces multi-document summaries using clustering techniques to identify common themes across the set of documents. For each theme, the system identifies representative passages that are included in the final summary. We also describe a methodology for evaluation of our system which is based upon a question answering task. Results of our evaluation are also presented. (AU) |
|
multidocument summarization; evaluation; clustering techniques |
Assessment |
|
|
|
|
Steinberger, Josef; Poesio, Massimo; Kabadjov, Mijail A.; Jezek, Karel |
|
Two uses of anaphora resolution in summarization |
|
Information Processing & Management, Nov2007, Vol. 43 Issue 6, p1663-1680 |
|
On line (04/2008) (Only UGR) |
|
We propose a new method for using anaphoric information in Latent Semantic Analysis (lsa), and discuss its application to develop an lsa-based summarizer which achieves a significantly better performance than a system not using anaphoric information, and a better performance by the rouge measure than all but one of the single-document summarizers participating in DUC-2002. Anaphoric information is automatically extracted using a new release of our own anaphora resolution system, guitar, which incorporates proper noun resolution. Our summarizer also includes a new approach for automatically identifying the dimensionality reduction of a document on the basis of the desired summarization percentage. Anaphoric information is also used to check the coherence of the summary produced by our summarizer, by a reference checker module which identifies anaphoric resolution errors caused by sentence extraction (DB) |
|
Automatic abstracts; resolución de anáforas |
Assessment |
|
|
|
|
VARUN, Vimal Kumar |
|
Automatic Abstracting & Summarizing Tools |
|
Information Today & Tomorrow, 2002, vol.21, n.2, pp.12-16 |
|
On line ( 06/07/2005) |
|
Describes automatic abstracting & summarizing tools like Brevity Document Summarizer, Copernic Summarizer, Extractor, HyperGen Summarization Tool, Intelligent Miner for Text: Summarization Tool, Inxight Summarizer, MultiGen, Pertinence Automatic Summariser, Sinope Summarisers, Summarist, TextAnalyst, TextNet32, ViewSum. Zentext Summarizer (AU) |
|
Information overload; Summarization; Abstracting; Cross-document summarization; Automatic abstracting & summarizing tools |
Assessment |
|
|
|
|
