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Neural Personalized Response Generation as Domain Adaptation ...
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Exploiting Multi-typed Treebanks for Parsing with Deep Multi-task Learning ...
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Additional file 1: of Prediction of the next highly pathogenic avian influenza pandemic that can cause illness in humans ...
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Additional file 1: of Prediction of the next highly pathogenic avian influenza pandemic that can cause illness in humans ...
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Modeling Leadership Behavior of Players in Virtual Worlds
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In: Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment; Vol. 11 No. 1 (2015): Eleventh Artificial Intelligence and Interactive Digital Entertainment Conference ; 2334-0924 ; 2326-909X (2015)
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Effective LSTMs for Target-Dependent Sentiment Classification ...
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Question Popularity Analysis and Prediction in Community Question Answering Services
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Phrasal Paraphrase Based Question Reformulation for Archived Question Retrieval
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Correction: Phrasal Paraphrase Based Question Reformulation for Archived Question Retrieval
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Chinese Dependency Treebank 1.0
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Abstract:
*Introduction* Chinese Dependency Treebank 1.0 was developed by the Harbin Institute of Technologys Research Center for Social Computing and Information Retrieval (HIT-SCIR). It contains 49,996 Chinese sentences (902,191 words) randomly selected from Peoples Daily newswire stories published between 1992 and 1996 and annotated with syntactic dependency structures. *Data* Ill-formed or short sentences were eliminated from the randomly-selected sentences prior to annotation. The data was segmented and annotated for part of speech (POS), syntactic structures, verb subclasses and noun compounds.Word segmentation and POS tagging were accomplished automatically using statistical models trained on a larger, annotated corpus of Peoples Daily newswire stories. Humans manually annotated the syntactic structures and corrected word segmentation errors. POS tags were not corrected. The data is provided in the format of CoNLL-X and in UTF-8. One line presents information for one word. An empty line indicates the end of a sentence. Each line contains 10 columns separated with a tab. *Samples* Please click follow this link for a sample of the data. *Updates* None at this time.
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URL: https://catalog.ldc.upenn.edu/LDC2012T05
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