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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.
Mónica Marrero, Julián Urbano
openaire   +1 more source

A Relational Framework for Information Extraction

ACM SIGMOD Record, 2016
Information Extraction commonly refers to the task of populating a relational schema, having predefined underlying semantics, from textual content. This task is pervasive in contemporary computational challenges associated with Big Data. In this article we provide an overview of our work on document spanners--a relational framework for Information ...
Fagin, Ronald   +3 more
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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   +1 more source

Information extraction

Communications of the ACM, 1996
Cowie, J, Lehnert, W
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Information Theoretic Approach to Information Extraction

2006
We use the hypergeometric distribution to extract relevant information from documents. The hypergeometric distribution gives the probability estimate of observing a given term frequency with respect to a prior. The lower the probability the higher the amount of information is carried by the term.
openaire   +1 more source

Supercritical fluid extraction of seed oils – A short review of current trends

Trends in Food Science and Technology, 2021
Hossein Ahangari   +2 more
exaly  

Techniques and modeling of polyphenol extraction from food: a review

Environmental Chemistry Letters, 2021
Muthamilselvi Ponnuchamy   +2 more
exaly  

Extracting information from informal communication.

2007
This thesis focuses on the problem of extracting information from informal communication. Textual informal communication, such as e-mail, bulletin boards and blogs, has become a vast information resource. However, such information is poorly organized and difficult for a computer to understand due to lack of editing and structure. Thus, techniques which
openaire   +2 more sources

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