By Adam Przepiórkowski, Maciej Ogrodniczuk

This e-book constitutes the refereed lawsuits of the ninth overseas convention on Advances in common Language Processing, PolTAL 2014, Warsaw, Poland, in September 2014. The 27 revised complete papers and 20 revised brief papers awarded have been conscientiously reviewed and chosen from eighty three submissions. The papers are equipped in topical sections on morphology, named entity attractiveness, time period extraction; lexical semantics; sentence point syntax, semantics, and computer translation; discourse, coreference solution, automated summarization, and query answering; textual content class, details extraction and knowledge retrieval; and speech processing, language modelling, and spell- and grammar-checking.

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Extra info for Advances in Natural Language Processing: 9th International Conference on NLP, PolTAL 2014, Warsaw, Poland, September 17-19, 2014. Proceedings

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2 Formally, the LEXC 2 For more information on finite-state methods in morphological processing cf. [17, 9, 37] among others. 18 E. Petropoulou, E. Galiotou, and A. 3 A LEXC description compiles into a Xerox finite-state network, either a simple automaton or a transducer. g. +Noun, +Verb, +Sg, +3P), followed by one or more named lexicons. ) are organized into such lexicons. Each entry in the lexicon consists of two parts, a ‘Form’ and a ‘Continuation Class’. Continuation classes, which are inherited from Koskenniemi’s Two-Level Morphology notation, are the basic mechanism for describing morphotactics in LEXC as they translate into concatenation, which is indeed the way most languages primarily build words.

1 Inflection Rules Consider the following group G, presented as a set of triples word, lemma, tag3 (each triple in a separate line): sprawom sprawie sprawą sprawie sprawę 3 sprawa sprawa sprawa sprawa sprawa subst:pl:dat:f subst:sg:loc:f subst:sg:inst:f subst:sg:dat:f subst:sg:acc:f In the given example tags come from the National Corpus of Polish Tagset [9] and denote the following attributes (separated by the colon) – grammatical category : number : case : gender. For the details of the similarity definition, see Sect.

In the work presented here we decided to apply the same evaluation process as proposed in [3] in order to show that the solution proposed here outperforms the method combining several similarity functions and the single metric approaches too. 3 Context-Free Morphological Generator The proposed method originated from the problem of matching NEs against a gazetteer, but it has been next generalized to match any pair of words which share the same lemma. g. g. including words comprising NEs) are lemmas, but multi-words can be stored in their proper forms.

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