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Variation and change in the use of hestitation markers in Germanic languages ...
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Variation and change in the use of hestitation markers in Germanic languages ...
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Variation and change in the use of hesitation markers in Germanic languages
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Automatic Creation of Arabic Named Entity Annotated Corpus Using Wikipedia
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A spinning wheel for YARN : user interface for a crowdsourced thesaurus
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Natural Language Processing and Information Systems : 17th International Conference on Applications of Natural Language to Information Systems, NLDB 2012, Groningen, The Netherlands, June 26-28, 2012. Proceedings
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UB Frankfurt Linguistik
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Semantics-based Question Generation and Implementation
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In: Dialogue & Discourse; Vol 3 No 2 (2012); 11-42 ; 2152-9620 (2012)
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Polarity preference of verbs: What could verbs reveal about the polarity of their objects?
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In: Klenner, Manfred; Petrakis, Stefanos (2012). Polarity preference of verbs: What could verbs reveal about the polarity of their objects? In: Bouma, Gosse; Ittoo, Ashwin; Métais, Elisabeth; Wortmann, Hans. Natural Language Processing and Information Systems. 17th International Conference on Applications of Natural Language to Information Systems. Heidelberg: Springer, 35-46. (2012)
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Abstract:
The current endeavour focuses on the notion of positive versus negative polarity preference of verbs for their direct objects. This preference has to be distinguished from a verb's own prior polarity - for the same verb, these two properties might even be inverse. Polarity preferences of verbs are extracted on the basis of a large and dependency- parsed corpus by means of statistical measures. We observed verbs with a relatively clear positive or negative polarity preference, as well as cases of verbs where positive and negative polarity preference is balanced (we call these bipolar-preference verbs). Given clear-cut polarity preferences of a verb, nouns, whose polarity is yet unknown, can now be classified. We reached a lower bound of 81% precision in our experiments, whereas the upper bound goes up to 92%.
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Keyword:
000 Computer science; 410 Linguistics; Institute of Computational Linguistics; knowledge & systems
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URL: https://doi.org/10.5167/uzh-64977 https://doi.org/10.1007/978-3-642-31178-9_4 https://www.zora.uzh.ch/id/eprint/64977/1/nldb-final.pdf https://www.zora.uzh.ch/id/eprint/64977/
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