By Adam Przepiórkowski, Maciej Ogrodniczuk
This booklet constitutes the refereed complaints of the ninth overseas convention on Advances in ordinary Language Processing, PolTAL 2014, Warsaw, Poland, in September 2014. The 27 revised complete papers and 20 revised brief papers provided have been conscientiously reviewed and chosen from eighty three submissions. The papers are geared up in topical sections on morphology, named entity popularity, time period extraction; lexical semantics; sentence point syntax, semantics, and desktop translation; discourse, coreference solution, automated summarization, and query answering; textual content category, details extraction and data retrieval; and speech processing, language modelling, and spell- and grammar-checking.
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Additional resources for Advances in Natural Language Processing: 9th International Conference on NLP, PolTAL 2014, Warsaw, Poland, September 17-19, 2014. Proceedings
The existing approaches to guessing unknown word lemmas and descriptions do not provide results on a satisfactory level. Moreover, lemmatisation of multiword named entities cannot be solved by word-by-word lemmatisation in Polish. g. included in gazetteers) often contain word forms that diﬀer from lemmas of their constituents. Such multi-word lemmas can be produced only by tagger- or parser-based lemmatisation. Polish is a language with rich inﬂection (rich variety of word forms), therefore comparing two words (even these which share the same lemma) is a diﬃcult task.
University of Patras (2011) (in Greek) 27. : Preﬁxes vs initial combining forms in English: A lexicographic perspective. International Journal of Lexicography (2005) 28. : Suﬃxes vs. ﬁnal combining forms in English: a lexicographic perspective. International Journal of Lexicography 21 (2008) (prepublication) 29. : Eléments de la Morphologie du Grec Moderne: La Structure du Verbe. D. Dissertation, University of Montreal (1988) 30. : Compounds in Modern Greek. Rivista di Linguistica 4, 143–174 (1992) 31.
34–44, 2014. c Springer International Publishing Switzerland 2014 Named Entity Matching Method 35 based on a tagger) for (1). PN lemmatisation is challenging task and for the Polish language (and for other Slavic languages too) that is not still solved by the existing language tools. e. the recognition of words not covered by the existing morphological analyser [5,10]. Many of such words are infrequent domain-speciﬁc PNs. Language resources providing extensive coverage of the inﬂected PN forms are rare.