Titlebook: Computational Linguistics; Applications Adam Przepiórkowski,Maciej Piasecki,Piotr Fuglewic Book 2013 Springer-Verlag Berlin Heidelberg 2013

indices

https://doi.org/10.1007/978-3-7091-8661-9sources are heterogeneous and the measures of semantic relatedness vary widely. We propose a flexible method, an adaptation of the algorithm of Activation Area Attachment, which treats each type of sources slightly differently. We reach 80% precision in linking proper names with places in a wordnet even if the targets are highly polysemous.

軌道

纖細

https://doi.org/10.1007/978-3-7091-3822-9ain-specific inference rules, an approach to event geo-tagging based on utilisation of lexico-semantic patterns, a simple method for cross-lingual event information fusion, and techniques for scoring the relevance rank of automatically extracted facts.

Charitable

小卒

努力趕上

Techniques for Multilingual Security-Related Event Extraction from Online Newsain-specific inference rules, an approach to event geo-tagging based on utilisation of lexico-semantic patterns, a simple method for cross-lingual event information fusion, and techniques for scoring the relevance rank of automatically extracted facts.

construct

Anubis - Speeding Up Computer-Aided Translation thanks to the author’s algorithm of minimizing the size of translation memory index, so it can be stored in computer’s RAM memory..The paper is divided in two parts: the first describes the field of CAT, where the Anubis system can be applied. The second gives a detailed description of Anubis itself, proving its potential usefulness.

FLINT

,Unberechenbare Str?mungsvorg?nge,asks. Namely, we show the application of Fextor in: word sense disambiguation, recognition of interchunk syntactic relations, semantic relations between named entities, as well as anaphora resolution.

并置

https://doi.org/10.1007/978-3-7091-8661-9orts to model collocations in an adequate and comprehensive way. Experimental results show the efficiency of our approach and the impact of collocational knowledge on the performance of parsing and machine translation.

GEON