Results 351 to 360 of about 12,045,326 (363)

OpenCeres: When Open Information Extraction Meets the Semi-Structured Web

North American Chapter of the Association for Computational Linguistics, 2019
Open Information Extraction (OpenIE), the problem of harvesting triples from natural language text whose predicate relations are not aligned to any pre-defined ontology, has been a popular subject of research for the last decade.
Colin Lockard, Prashant Shiralkar, Xin Dong   +2 more
semanticscholar   +1 more source

Automated Information Extraction

2014
Chapter 1 identified automated information extraction (also known as computational content analysis or media-mining) as the first area of Computational Social Science. In this chapter takes a close look at this area, beginning with roots in linguistics. Computational text mining has been the main application of this area of CSS, but audio, imagery, and
openaire   +2 more sources

AUTOMATIC INFORMATIVE ABSTRACTING AND EXTRACTING [PDF]

, 1969
Abstract : This investigation is concerned with the development of automatic abstracting and extracting systems. Basic investigations in English morphology, phonetics, and syntax are pursued as necessary means to this end. The fourth annual report on automatic abstracting and extracting summarizes progress in two areas of investigation: (1) Compilation
Harold R. Robison, Lois L. Earl
openaire   +1 more source

Information Extraction by XLM

2007
XML(eXtensible Markup Language) is used as the description form of the documents and the data exchanged on the Web. Now, the usage of the XML is extending to not only the exchange of the XML document but also that of the XML database for classification and retrieval. This paper develops how to retrieve the related objective data from the tree structure
Naohiro Ishii, Nariaki Kato, Masashi Okada   +2 more
openaire   +1 more source

Information Extraction Grammars

2015
Formal grammars are extensively used to represent patterns in Information Extraction, but they do not permit the use of several types of features. Finite-state transducers, which are based on regular grammars, solve this issue, but they have other disadvantages such as the lack of expressiveness and the rigid matching priority.
Julián Urbano, Mónica Marrero
openaire   +2 more sources

Inferential Information Extraction

1999
This paper is concerned with an outlook on information extraction (IE) that is steeped to a large extent in the traditional semantic notion of inferential reasoning. We make the case for a continued presence of inferential methods in IE, despite the ongoing trend towards simpler extraction processing models.
openaire   +2 more sources

Advances in Information Extraction

2003
Nowadays, knowledge relevant to business of any kind is mainly transmitted through free-text documents. Latest trends in information technology such as Information Extraction (IE) provide dramatic improvements in conversion of the overflow of raw textual information into valuable and structured data.
openaire   +2 more sources

Intelligent Information Extraction

2000
New developments in Information Technology and an ever-growing amount of unstructured business text documents in digital form require intelligent tools for precisely determining their content and relevance. In this paper we give an overview of the natural language processing approach to information extraction and information retrieval.
Jakub Piskorski, Wojciech Skut
openaire   +2 more sources

Information extraction

Communications of the ACM, 1996
Cowie, J, Lehnert, W
openaire   +2 more sources

Ontologies and information extraction

2005
International ...
Nédellec, Claire, Nazarenko, Adeline
openaire   +1 more source