Add to ORKGThe research described here focuses on multi-lingual summarization (MLS). Summaries of documents are produced in their original language; corresponding summaries in English will eventually be generated. The source languages supported are Spanish, Japanese, English and Russian. Background The need for summarization tools is especially strong if the source text is in a language different from the one(s) which the reader is most fluent. Interactive summarization of multilingual documents is a very promising approach to improving productivity and reducing costs in large-scale document processing. This addresses the scenario where an analyst is trying to filter through a large set of document
Text summarization is the process of distilling the most important in-formation from source/sources ...
Multilingual text summarization using Natural Language Processing (NLP) stands as a vital research f...
Abstract. Hardly any other type of textual material is as difficult to read and comprehend as patent...
The recent advances in multimedia and web-based applications have eased the accessibility to large c...
International audienceWe present MLSUM, the first large-scale MultiLingual SUMmarization dataset. Ob...
We present a new approach for summarizing clusters of documents on the same event, some of which a...
In this book chapter, we discuss several pertinent aspects of an automatic system that generates sum...
In this paper we will illustrate the approach to multilingual automatic abstract production adopted ...
Automatic text summarization aims at producing a shorter version of the input text that conveys the ...
The popularization of social networks and digital documents has quickly increased the multilingual i...
Multidocument summarization addresses the selection of a compact subset of highly informative senten...
This paper describes a method for language independent extractive summarization that relies on itera...
The main target of cross-language summarization is to generate a summary in a different language fro...
We describe our work on the development of Language and Evaluation Resources for the evaluation of s...
We have developed a multilingual version of Columbia Newsblaster as a testbed for multilingual multi...
Text summarization is the process of distilling the most important in-formation from source/sources ...
Multilingual text summarization using Natural Language Processing (NLP) stands as a vital research f...
Abstract. Hardly any other type of textual material is as difficult to read and comprehend as patent...
The recent advances in multimedia and web-based applications have eased the accessibility to large c...
International audienceWe present MLSUM, the first large-scale MultiLingual SUMmarization dataset. Ob...
We present a new approach for summarizing clusters of documents on the same event, some of which a...
In this book chapter, we discuss several pertinent aspects of an automatic system that generates sum...
In this paper we will illustrate the approach to multilingual automatic abstract production adopted ...
Automatic text summarization aims at producing a shorter version of the input text that conveys the ...
The popularization of social networks and digital documents has quickly increased the multilingual i...
Multidocument summarization addresses the selection of a compact subset of highly informative senten...
This paper describes a method for language independent extractive summarization that relies on itera...
The main target of cross-language summarization is to generate a summary in a different language fro...
We describe our work on the development of Language and Evaluation Resources for the evaluation of s...
We have developed a multilingual version of Columbia Newsblaster as a testbed for multilingual multi...
Text summarization is the process of distilling the most important in-formation from source/sources ...
Multilingual text summarization using Natural Language Processing (NLP) stands as a vital research f...
Abstract. Hardly any other type of textual material is as difficult to read and comprehend as patent...