Titlebook: Human Language Technology. Challenges for Computer Science and Linguistics; 7th Language and Tec Zygmunt Vetulani,Joseph Mariani,Marek Kubi

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書目名稱Human Language Technology. Challenges for Computer Science and Linguistics被引頻次




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書目名稱Human Language Technology. Challenges for Computer Science and Linguistics讀者反饋




書目名稱Human Language Technology. Challenges for Computer Science and Linguistics讀者反饋學(xué)科排名

CROAK

Automatic Transcription and Subtitling of Slovak Multi-genre Audiovisual Recordings. Preliminary results show a significant decrease in word error rate relatively from 2.40% to 47.10% for an individual speaker in fully automatic transcription and subtitling of Slovak parliament speech, broadcast news or TEDx talks.

vocation

Neural Networks Revisited for Proper Name Retrieval from Diachronic Documentsransformation. This model allows to better take into account lexical and semantic word relationships. In the context of broadcast news transcription and in terms of recall, experimental results show a good ability of the proposed model to select new relevant proper names.

怎樣才咆哮

Reinvestigating the Classification Approach to the Article and Preposition Error Correctionrained word classes acquired by unsupervised learning as a substitution for commonly used part-of-speech tags. Our best models significantly outperform the top systems from CoNLL-2014 Shared Task in terms of article and preposition error correction.

占卜者

持續(xù)

Methods of Linking Linguistic Resources for Semantic Role Labelingoyed a logical reasoning device to facilitate the linking procedure. We present results and discuss the challenges and pitfalls that arose from this undertaking. We also compare our rule-based approach with that of using a state-of-the-art English semantic role labeler pipeline for the thematic role transferring task.

CLOT

古代

forager

無思維能力