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

By Mário Rodrigues, António Teixeira

This booklet explains how will be created details extraction (IE) functions which are capable of faucet the mammoth volume of proper details to be had in usual language resources: web pages, legitimate files equivalent to legislation and laws, books and newspapers, and social internet. Readers are brought to the matter of IE and its present demanding situations and boundaries, supported with examples. The ebook discusses the necessity to fill the space among files, information, and folks, and offers a huge assessment of the know-how assisting IE. The authors current a wide-spread structure for constructing structures which are capable of methods to extract proper info from traditional language files, and illustrate how you can enforce operating platforms utilizing state of the art and freely to be had software program instruments. The e-book additionally discusses concrete functions illustrating IE uses.

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

· offers a accomplished checklist of freely on hand, top of the range software program for numerous subtasks of IE and for numerous common languages

· Describes a primary structure that could the right way to extract details for a given program domain

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

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Springer, Berlin/Heidelberg, pp 660–673 Chapter 4 Extracting Relevant Information Using a Given Semantic Abstract This chapter presents an example of software architecture, developed by the authors, for performing Ontology Based Information Extraction (OBIE) using an arbitrary ontology. The goal of the architecture is to allow the deployment of applications for arbitrary domains without need of system reprogramming. For that, human operator(s) define the semantics of the application and provide some examples of ontology concepts in target texts; then the system learns how to extract information according to the defined ontology.

Adding to the role of controlling the IE process, the ontology can itself encode, in its structure, the relations found in the documents. In this type of approach, the ontology is created in runtime and can be updated or not in posterior IE sessions. Such approach implies that the reasoning process is not defined a priori but instead is conditioned by what was found in the text sources. This approach is called Open IE as it allows detecting instance candidates of arbitrary unknown relations (Banko et al.

The NLP is the same but the runtime flow does not include the domain representation since it is now encoded in the extraction models. The flow starts on documents and ends on the knowledge base. 4 Implementation of a Prototype Using State-of-the-Art Tools This section describes a possible architecture instantiation to build a prototype for extracting information from Portuguese texts, and using state of the art tools. 4 Implementation of a Prototype Using State-of-the-Art Tools 41 performance as well as the easiness to train and use.

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