PCFG models of linguistic tree representations
Computational Linguistics
An efficient implementation of a new DOP model
EACL '03 Proceedings of the tenth conference on European chapter of the Association for Computational Linguistics - Volume 1
Accurate unlexicalized parsing
ACL '03 Proceedings of the 41st Annual Meeting on Association for Computational Linguistics - Volume 1
Head-Driven Statistical Models for Natural Language Parsing
Computational Linguistics
Non-projective dependency parsing using spanning tree algorithms
HLT '05 Proceedings of the conference on Human Language Technology and Empirical Methods in Natural Language Processing
Integrated morphological and syntactic disambiguation for Modern Hebrew
COLING ACL '06 Proceedings of the 21st International Conference on computational Linguistics and 44th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop
Three-dimensional parametrization for parsing morphologically rich languages
IWPT '07 Proceedings of the 10th International Conference on Parsing Technologies
IWPT '07 Proceedings of the 10th International Conference on Parsing Technologies
EACL '09 Proceedings of the 12th Conference of the European Chapter of the Association for Computational Linguistics
Hebrew dependency parsing: initial results
IWPT '09 Proceedings of the 11th International Conference on Parsing Technologies
An alternative to head-driven approaches for parsing a (relatively) free word-order language
EMNLP '09 Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing: Volume 2 - Volume 2
Hard constraints for grammatical function labelling
ACL '10 Proceedings of the 48th Annual Meeting 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
Two methods to incorporate local morphosyntactic features in Hindi dependency parsing
SPMRL '10 Proceedings of the NAACL HLT 2010 First Workshop on Statistical Parsing of Morphologically-Rich Languages
Modeling morphosyntactic agreement in constituency-based parsing of modern Hebrew
SPMRL '10 Proceedings of the NAACL HLT 2010 First Workshop on Statistical Parsing of Morphologically-Rich Languages
On the role of morphosyntactic features in Hindi dependency parsing
SPMRL '10 Proceedings of the NAACL HLT 2010 First Workshop on Statistical Parsing of Morphologically-Rich Languages
Better Arabic parsing: baselines, evaluations, and analysis
COLING '10 Proceedings of the 23rd International Conference on Computational Linguistics
Morphological features for parsing morphologically-rich languages: a case of Arabic
SPMRL '11 Proceedings of the Second Workshop on Statistical Parsing of Morphologically Rich Languages
Cross-framework evaluation for statistical parsing
EACL '12 Proceedings of the 13th Conference of the European Chapter of the Association for Computational Linguistics
Joint evaluation of morphological segmentation and syntactic parsing
ACL '12 Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics: Short Papers - Volume 2
Morphological and syntactic case in statistical dependency parsing
Computational Linguistics
Word segmentation, unknown-word resolution, and morphological agreement in a hebrew parsing system
Computational Linguistics
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State-of-the-art statistical parsing models applied to free word-order languages tend to underperform compared to, e.g., parsing English. Constituency-based models often fail to capture generalizations that cannot be stated in structural terms, and dependency-based models employ a 'single-head' assumption that often breaks in the face of multiple exponence. In this paper we suggest that the position of a constituent is a form manifestation of its grammatical function, one among various possible means of realization. We develop the Relational-Realizational approach to parsing in which we untangle the projection of grammatical functions and their means of realization to allow for phrase-structure variability and morphological-syntactic interaction. We empirically demonstrate the application of our approach to parsing Modern Hebrew, obtaining 7% error reduction from previously reported results.