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2nd workshop on recent advances in slavonic natural language processing, raslan 2008

2nd Workshop on Recent Advances in Slavonic Natural Language...

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2nd workshop on recent advances in slavonic natural language processing, raslan 2008

ISBN: (纸本)9788021047419

The proceedings contain 16 papers. The special focus in this conference is on natural language processing. The topics include: Towards Czech morphological guesser;semi-automatic approach to building dictionary between slavonic languages;a lexicographer-friendly association score;the saara framework;TIL and logic programming;TIL in knowledge-based multi-agent systems;processing Czech verbal synsets with relations to English wordnet;extraction of syntactic structures based on the Czech parser synt;test suite for the Czech parser synt;computing idioms frequency in text corpora;plagiarism detection through vector space models applied to a digital library;automatic web page classification;building big Czech corpus and towards natural natural language processing.

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Towards natural natural language processing A Late Night Brainstorming

Towards Natural Natural Language Processing A Late Night Bra...

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2nd workshop on recent advances in slavonic natural language processing (raslan)

作者： Sojka, Petr Masaryk Univ Fac Informat Brno 60200 Czech Republic

An essay about mimicking some aspects of language processing in our heads, using information fusion and competing patterns.

ISBN: (纸本)9788021047419

An essay about mimicking some aspects of language processing in our heads, using information fusion and competing patterns.

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Computing Idioms Frequency in Text Corpora

Computing Idioms Frequency in Text Corpora

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2nd workshop on recent advances in slavonic natural language processing (raslan)

作者： Busta, Jan Masaryk Univ Fac Informat Brno Czech Republic

ISBN: (纸本)9788021047419

The idioms are phrases which meaning is not composed from the meanings of each word in the phrase. This is one of the natural examples of violating the principle of compositionality that means that idioms are in area of natural language processing problem of meaning mining. To count the frequency of phrases such idioms in corpora has one big aim: To get to know which phrases we use often and which less. We do it to be able to start with getting the meaning of the whole phrases not just each word. This improves the understanding natural language.

关键词： natural language processing systems

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TIL in Knowledge-Based Multi-Agent Systems

TIL in Knowledge-Based Multi-Agent Systems

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2nd workshop on recent advances in slavonic natural language processing (raslan)

作者： Frydrych, Tomas Kohut, Ondrej Kosinar, Michal VSB Tech Univ Ostrava Ostrava 70833 Czech Republic

ISBN: (纸本)9788021047419

Transparent Intensional Logic (TIL) is a highly expressive logic system. Its potential applications in artificial intelligence and multi-agent systems are broad. We introduce the TIL-Script language, which is a computational variant of the language of TIL constructions. TIL-Script can be used as an alternative to FIPA SL language, whenever communication in a natural language is in need (e. g. human / computer interaction) and/or another systems are insufficient in their expressive power (for example in the area of knowledge representation for resource bounded knowledge based agents).

关键词： TIL TIL-Script Transparent Intensional Logic Multiagent Systems content language FIPA

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Automatic Web Page Classification

Automatic Web Page Classification

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2nd workshop on recent advances in slavonic natural language processing (raslan)

作者： Materna, Jiri Masaryk Univ Fac Informat Nat Language Proc Ctr Brno 60200 Czech Republic

ISBN: (纸本)9788021047419

Aim of this paper is to describe a method of automatic web page classification to semantic domains and its evaluation. The classification method exploits machine learning algorithms and several morphological as well as semantical text processing tools. In contrast to general text document classification, in the web document classification there are often problems with short web pages. In this paper we proposed two approaches to eliminate the lack of information. In the first one we consider a wider context of a web page. That means we analyze web pages referenced from the investigated page. The second approach is based on sophisticated term clustering by their similar grammatical context. This is done using statistic corpora tool the Sketch Engine.

关键词： automatic classification machine learning web document thesaurus

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