Ariani Di Felippo

• Abstract

  Given the large amount of information available in several languages, especially on-line, Multi-Document Summarization (MDS) has become an important tool for managing information overload. With origins in the mid-1990, MDS is a Natural Language Processing (PLN) subarea which aims at automatically producing a unique summary from a group of texts on the same topic. For Brazilian Portuguese …

  Generation of linguistic knowledge for multi-document summarization, AP.R
• Instantiation and application of a methodology for the development of "terminological wordnets" in Brazilian Portuguese., AP.R

• Abstract

  Multi-document Summarization (MDS) aims at automatically condensing a group of source texts on the same topic into a shorter version preserving the main information content of the collection. The extractive summarization methods consist of selecting important sentences from the original documents and concatenating them into shorter form. Consequently, the multi-document extracts often con…

  Evaluation of rewrite rules for references to people in automatic multi-document summaries, BP.IC

• Abstract

  Given the incredible and growing amount of available information, mainly on-line, and the difficulties and lack of time to deal with all this content, text processing applications have become increasingly relevant. Being relatively new (with origins in the mid-1990), Multi-document Summarization (MDS) is one of these applications. It aims at automatically producing a unique summary with c…

  Linguistic description of complementarity for Multi-document Summarization, BP.MS

• Abstract

  In order to produce a summary from a collection of texts from different sources with the same topic, humans commonly reduce the content of sources texts through condensation operations such as deletion, union, intersection, generalization, specialization, etc. The humans commonly rely on cutting and pasting of material from the source texts to linguistically express the condensed content …

  Linguistic analysis of specialization in human multi-document summarization, BP.IC

(Only some records are available in English at this moment)

• Abstract

  Given the large amount of information available in several languages, especially on-line, Multi-Document Summarization (MDS) has become an important tool for managing information overload. With origins in the mid-1990, MDS is a Natural Language Processing (NLP) subarea, which aims at automatically producing a unique summary from a group of texts on the same topic. For Portuguese, research…

  Knowledge-based summary revision: turning multi-document extracts into abstracts, BE.PQ

• Abstract

  Computational applications capable of handling the incredible amount of information currently available, especially on the web, have become increasingly necessary. The automatic multi-document summarization is one of these applications in which, from a set of documents that deal with the same subject, a single summary is produced. This task has emerged as a natural extension of the tradit…

  Evaluation of human multi-document summarization strategies, BE.EP.MS