Building a large annotated corpus of English: the penn treebank
Computational Linguistics - Special issue on using large corpora: II
Word identification for Mandarin Chinese sentences
COLING '92 Proceedings of the 14th conference on Computational linguistics - Volume 1
Abductive explanation-based learning improves parsing accuracy and efficiency
SIGHAN '03 Proceedings of the second SIGHAN workshop on Chinese language processing - Volume 17
Chinese semantic dependency analysis: Construction of a treebank and its use in classification
ACM Transactions on Speech and Language Processing (TSLP)
Integration of Multiple Classifiers for Chinese Semantic Dependency Analysis
Electronic Notes in Theoretical Computer Science (ENTCS)
On Heads and Coordination in Valence Acquisition
CICLing '07 Proceedings of the 8th International Conference on Computational Linguistics and Intelligent Text Processing
Recent advances in a feature-rich framework for treebank annotation
COLING '08 Proceedings of the 22nd International Conference on Computational Linguistics - Volume 1
Assessment for online small group discussion based on concept map scoring
Edutainment'11 Proceedings of the 6th international conference on E-learning and games, edutainment technologies
Multilingual speech corpora for TTS system development
ISCSLP'06 Proceedings of the 5th international conference on Chinese Spoken Language Processing
Contingency and comparison relation labeling and structure prediction in Chinese sentences
SIGDIAL '12 Proceedings of the 13th Annual Meeting of the Special Interest Group on Discourse and Dialogue
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This paper describes the design criteria and annotation guidelines of Sinica Treebank. The three design criteria are: Maximal Resource Sharing, Minimal Structural Complexity, and Optimal Semantic Information. One of the important design decisions following these criteria is the encoding of thematic role information. An on-line interface facilitating empirical studies of Chinese phrase structure is also described.