Computational Linguistics
Algorithms for deterministic incremental dependency parsing
Computational Linguistics
A Karaka Based Annotation Scheme for English
CICLing '09 Proceedings of the 10th International Conference on Computational Linguistics and Intelligent Text Processing
Multilingual dependency analysis with a two-stage discriminative parser
CoNLL-X '06 Proceedings of the Tenth Conference on Computational Natural Language Learning
Relational-realizational parsing
COLING '08 Proceedings of the 22nd International Conference on Computational Linguistics - Volume 1
Insights into non-projectivity in Hindi
ACLstudent '09 Proceedings of the ACL-IJCNLP 2009 Student Research Workshop
Non-projective dependency parsing in expected linear time
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
Two stage constraint based hybrid approach to free word order language dependency parsing
IWPT '09 Proceedings of the 11th International Conference on Parsing Technologies
Hebrew dependency parsing: initial results
IWPT '09 Proceedings of the 11th International Conference on Parsing Technologies
Cross parser evaluation and tagset variation: a French treebank study
IWPT '09 Proceedings of the 11th International Conference on Parsing Technologies
A multi-representational and multi-layered treebank for Hindi/Urdu
ACL-IJCNLP '09 Proceedings of the Third Linguistic Annotation Workshop
A Modular Cascaded Approach to Complete Parsing
IALP '09 Proceedings of the 2009 International Conference on Asian Language Processing
Improving data driven dependency parsing using clausal information
HLT '10 Human Language Technologies: The 2010 Annual Conference of the North American Chapter of the Association for Computational Linguistics
Statistical parsing of morphologically rich languages (SPMRL): what, how and whither
SPMRL '10 Proceedings of the NAACL HLT 2010 First Workshop on Statistical Parsing of Morphologically-Rich Languages
On the role of NLP in linguistics
NLPLING '10 Proceedings of the 2010 Workshop on NLP and Linguistics: Finding the Common Ground
Identification of conjunct verbs in hindi and its effect on parsing accuracy
CICLing'11 Proceedings of the 12th international conference on Computational linguistics and intelligent text processing - Volume Part I
Linguistically rich graph based data driven parsing for Hindi
SPMRL '11 Proceedings of the Second Workshop on Statistical Parsing of Morphologically Rich Languages
An automatic approach to treebank error detection using a dependency parser
CICLing'13 Proceedings of the 14th international conference on Computational Linguistics and Intelligent Text Processing - Volume Part I
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This paper analyzes the relative importance of different linguistic features for data-driven dependency parsing of Hindi, using a feature pool derived from two state-of-the-art parsers. The analysis shows that the greatest gain in accuracy comes from the addition of morpho-syntactic features related to case, tense, aspect and modality. Combining features from the two parsers, we achieve a labeled attachment score of 76.5%, which is 2 percentage points better than the previous state of the art. We finally provide a detailed error analysis and suggest possible improvements to the parsing scheme.