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@inproceedings{1131901,
author = {Nevěřilová, Zuzana},
address = {Brno},
booktitle = {Seventh Workshop on Recent Advances in Slavonic Natural Language Processing, RASLAN 2013},
keywords = {extual entailment; language game; games with a purpose; GWAP;},
howpublished = {tištěná verze "print"},
language = {eng},
location = {Brno},
isbn = {978-80-263-0520-0},
pages = {29-37},
publisher = {Tribun EU},
title = {Acquiring Data for Textual Entailment Recognition},
url = {https://nlp.fi.muni.cz/raslan/2013/paper02.pdf},
year = {2013}
}
TY - JOUR
ID - 1131901
AU - Nevěřilová, Zuzana
PY - 2013
TI - Acquiring Data for Textual Entailment Recognition
PB - Tribun EU
CY - Brno
SN - 9788026305200
KW - extual entailment
KW - language game
KW - games with a purpose
KW - GWAP;
UR - https://nlp.fi.muni.cz/raslan/2013/paper02.pdf
N2 - Language resources are hardly ever large enough. Building language resources that can be used as a gold standard for semantic analysis requires effort and investment. We present a prototype for acquiring language resources by means of a language game which is a cheap but long-term method. Games employed to acquire language resources are not new. For example games with a purpose are used for collecting common sense knowledge. The game presented in this paper is a work in progress. It collects annotated pairs text–hypothesis suitable for recognizing textual entailment in Czech. The game narrative is based on Sherlock Holmes and dr. Watson dialogues. For generating the dialogue line we use rule-based approaches such as syntactic analysis, anaphora resolution, synonym and hypernym replacement, word order rearrangement and verb frame based inference. To generate natural sounding sentences we added a language model score (based on n-gram frequencies in a corpus).
ER -
NEVĚŘILOVÁ, Zuzana. Acquiring Data for Textual Entailment Recognition. In \textit{Seventh Workshop on Recent Advances in Slavonic Natural Language Processing, RASLAN 2013}. Brno: Tribun EU, 2013, s.~29-37. ISBN~978-80-263-0520-0.
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