EMNLP '02 Proceedings of the ACL-02 conference on Empirical methods in natural language processing - Volume 10
Incremental parsing with the perceptron algorithm
ACL '04 Proceedings of the 42nd Annual Meeting on Association for Computational Linguistics
Character-level dependencies in Chinese: usefulness and learning
EACL '09 Proceedings of the 12th Conference of the European Chapter of the Association for Computational Linguistics
EMNLP '08 Proceedings of the Conference on Empirical Methods in Natural Language Processing
Joint parsing and named entity recognition
NAACL '09 Proceedings of Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics
An error-driven word-character hybrid model for joint Chinese word segmentation and POS tagging
ACL '09 Proceedings of the Joint Conference of the 47th Annual Meeting of the ACL and the 4th International Joint Conference on Natural Language Processing of the AFNLP: Volume 1 - Volume 1
Syntactic processing using the generalized perceptron and beam search
Computational Linguistics
A discriminative model for joint morphological disambiguation and dependency parsing
HLT '11 Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies - Volume 1
A stacked sub-word model for joint Chinese word segmentation and part-of-speech tagging
HLT '11 Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies - Volume 1
Parsing the internal structure of words: a new paradigm for Chinese word segmentation
HLT '11 Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies - Volume 1
Transition-based dependency parsing with rich non-local features
HLT '11 Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies: short papers - Volume 2
Parsing noun phrases in the penn treebank
Computational Linguistics
Joint models for Chinese POS tagging and dependency parsing
EMNLP '11 Proceedings of the Conference on Empirical Methods in Natural Language Processing
Joint Optimization for Chinese POS Tagging and Dependency Parsing
IEEE/ACM Transactions on Audio, Speech and Language Processing (TASLP)
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Most previous approaches to syntactic parsing of Chinese rely on a preprocessing step of word segmentation, thereby assuming there was a clearly defined boundary between morphology and syntax in Chinese. We show how this assumption can fail badly, leading to many out-of-vocabulary words and incompatible annotations. Hence in practice the strict separation of morphology and syntax in the Chinese language proves to be untenable. We present a unified dependency parsing approach for Chinese which takes unsegmented sentences as input and outputs both morphological and syntactic structures with a single model and algorithm. By removing the intermediate word segmentation, the unified parser no longer needs separate notions for words and phrases. Evaluation proves the effectiveness of the unified model and algorithm in parsing structures of words, phrases and sentences simultaneously.