Advances in Natural Language Processing: 9th International by Adam Przepiórkowski, Maciej Ogrodniczuk PDF
By Adam Przepiórkowski, Maciej Ogrodniczuk
This publication constitutes the refereed court cases of the ninth foreign convention on Advances in average Language Processing, PolTAL 2014, Warsaw, Poland, in September 2014. The 27 revised complete papers and 20 revised brief papers offered have been conscientiously reviewed and chosen from eighty three submissions. The papers are prepared 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 category, info extraction and knowledge 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
Pis-ar-na ‘writing oﬃce’). Their respective frequencies are presented in Table 1. 0 (). : Initial Experiments 31 Table 1. Five most frequent suﬃxal combinations Suﬃx -nje -ač -ica -telj -na No. of occurences 2766 224 108 104 100 As the numbers indicate, the suﬃx -nje is the most frequent single suﬃx of common nouns in the HML. , from their past participles. The total number of gerunds among the common nouns is 4,586. In other words, almost 25% of all common nouns in the HML are verbal nouns.
G. gazetteers) are relatively large. This increases computational complexity of searching and matching. e. we do not use additional external knowledge sources and the information from the occurrence context of an unknown word form. There is also no information whether the token being processed is a true word or a non-word symbol. Polish is a language with rich inﬂection and each lemma corresponds to many morphological forms on average. Identiﬁcation of a proper threshold for the similarity measures allowing for proper matching unknown words against the gazetteer entries can be diﬃcult.
Journal of Language Modelling (1), 111–142 (2012) 12. : Building the Croatian Morphological Lexicon. In: Proceedings of the EACL 2003 Workshop on Morphological Processing of Slavic Languages, pp. 41–46. ACL, Budapest (2003) 13. : DERIVBASE: Inducing and Evaluating a Derivational Morphology Resource for German. e. 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.
Advances in Natural Language Processing: 9th International Conference on NLP, PolTAL 2014, Warsaw, Poland, September 17-19, 2014. Proceedings by Adam Przepiórkowski, Maciej Ogrodniczuk