A maximum entropy approach to natural language processing
Computational Linguistics
Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data
ICML '01 Proceedings of the Eighteenth International Conference on Machine Learning
The CoNLL-2009 shared task: syntactic and semantic dependencies in multiple languages
CoNLL '09 Proceedings of the Thirteenth Conference on Computational Natural Language Learning: Shared Task
Multilingual dependency-based syntactic and semantic parsing
CoNLL '09 Proceedings of the Thirteenth Conference on Computational Natural Language Learning: Shared Task
HIT-IR-WSD: a WSD system for English lexical sample task
SemEval '07 Proceedings of the 4th International Workshop on Semantic Evaluations
NLDB'11 Proceedings of the 16th international conference on Natural language processing and information systems
Unsupervised discovery of discourse relations for eliminating intra-sentence polarity ambiguities
EMNLP '11 Proceedings of the Conference on Empirical Methods in Natural Language Processing
Fine-grained topic detection in news search results
Proceedings of the 27th Annual ACM Symposium on Applied Computing
One seed to find them all: mining opinion features via association
Proceedings of the 21st ACM international conference on Information and knowledge management
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LTP (Language Technology Platform) is an integrated Chinese processing platform which includes a suite of high performance natural language processing (NLP) modules and relevant corpora. Especially for the syntactic and semantic parsing modules, we achieved good results in some relevant evaluations, such as CoNLL and SemEval. Based on XML internal data representation, users can easily use these modules and corpora by invoking DLL (Dynamic Link Library) or Web service APIs (Application Program Interface), and view the processing results directly by the visualization tool.