New PDF release: Advanced Applications of Natural Language Processing for

By Mário Rodrigues, António Teixeira

ISBN-10: 3319155628

ISBN-13: 9783319155623

ISBN-10: 3319155636

ISBN-13: 9783319155630

This booklet explains how should be created info extraction (IE) purposes which are capable of faucet the huge quantity of proper details to be had in normal language resources: net pages, legit records similar to legislation and rules, books and newspapers, and social net. Readers are brought to the matter of IE and its present demanding situations and boundaries, supported with examples. The e-book discusses the necessity to fill the space among files, facts, and other people, and gives a large review of the expertise helping IE. The authors current a favourite structure for constructing platforms which are in a position to tips on how to extract appropriate details from normal language files, and illustrate tips on how to enforce operating platforms utilizing state of the art and freely to be had software program instruments. The publication additionally discusses concrete functions illustrating IE uses.

· offers an outline of cutting-edge know-how in info extraction (IE), discussing achievements and boundaries for the software program developer and delivering references for specialised literature within the area

· provides a accomplished record of freely on hand, prime quality software program for a number of subtasks of IE and for a number of typical languages

· Describes a widespread structure which can extract details for a given software domain

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Extra info for Advanced Applications of Natural Language Processing for Performing Information Extraction

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2008). Wikipedia brings the advantage of being updated daily, having the possibility of querying it online or downloading and using freely available snapshots offline. Considering the example, a possible classification algorithm using Wikipedia can be based on querying the page of each named entity candidate and, if found, evaluate if the Wikipedia categories include one of the pre-defined categories of the application. If the application includes categories for people and awards would be possible to classify John Bardeen as people given that “people” is included in Wikipedia categories, and classify Nobel Prize as award for the same reason.

2007). The parsing algorithm used was the same of the Single Malt system, a pseudo-projective dependency parsing with support vector machines (Hall et al. 2007; Nivre et al. 2006). 3 used in the CoNLL-X shared task: multi-lingual dependency parsing. The outputs of POS tagging and NER are used to generate the input for the syntactic parser. Named entities will have their own word forms as lemma and, as POS tag, the tag relative to proper nouns when their word forms are character strings, or relative to numbers if their word form is a numeric sequence.

Pp 1–32 Nivre J, Hall J, Nilsson J, Chanev A, Eryigit G, Kübler S, Marinov S, Marsi E (2007) MaltParser: a language-independent system for data-driven dependency parsing. Nat Lang Eng 13:95–135 26 2 Data Gathering, Preparation and Enrichment Nugues PM (2006) Syntactic formalisms. In: Nugues PM (ed) An introduction to language processing with Perl and Prolog. 0: towards wider multilinguality, In: Proceedings of the Language Resources and Evaluation Conference (LREC 2012). Istanbul, pp 2473–2479 Palmer DD, Hearst MA (1997) Adaptive multilingual sentence boundary disambiguation.

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Advanced Applications of Natural Language Processing for Performing Information Extraction by Mário Rodrigues, António Teixeira

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