Titlebook: Natural Language Processing and Information Systems; 10th International C Andrés Montoyo,Rafael Muńoz,Elisabeth Métais Conference proceedin

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Francis C. Y. Chik,Robert W. P. Luk,Korris F. L. Chungs.Presents acomprehensive and unique set of full-scale testsThis book presents the mainoutcomes of the first European research project on the seismic behavior ofadjustable steel storage pallet racking systems. In particular, it describes acomprehensive and unique set of full-scale tests designed to

漂亮

Glower

On the Transformation of Sentences with Genitive Relations to SQL Queriesule based on a Hungarian question processor. One of the most crucial part of the system was the transformation of genitive relations to adequate SQL queries, since e.g.?questions begin with “Who” and “What” mostly contain such a relation. The genitive relation is one of the most complex semantic str

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separate

Application of Text Categorization to Astronomy Fieldn the astronomy field, astronomers often assign different names to table columns at their will even if they are about the same attributes of sky objects. As a result, it produces a big problem for data analysis over different tables. To solve this problem, the standard vocabulary called “unified con

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鞭打

積習已深

Automatic Extraction of Semantic Relationships for WordNet by Means of Pattern Learning from Wikipedlopedia. Next, these patterns can be applied to extend existing ontologies or semantic networks with new relations. The experiments have been performed with the Simple English Wikipedia and WordNet 1.7. A new algorithm has been devised for automatically generalising the lexical patterns found in the

falsehood

Combining Data-Driven Systems for Improving Named Entity Recognition An important preprocessing tool of these tasks consists of name entities recognition, which corresponds to a Name Entity Recognition (NER) task. In this paper we propose a completely automatic NER which involves identification of proper names in texts, and classification into a set of predefined ca

BOAST

Natural Language Processing: Mature Enough for Requirements Documents Analysis?complete. Misunderstandings and errors of the requirements engineering phase propagate to later development phases and can potentially lead to a project failure..A promising way to overcome misunderstandings is to extract and validate terms used in requirements documents and relations between these