Natural language parsing as statistical pattern recognition
Natural language parsing as statistical pattern recognition
WordNet: a lexical database for English
Communications of the ACM
Building a large annotated corpus of English: the penn treebank
Computational Linguistics - Special issue on using large corpora: II
A maximum-entropy-inspired parser
NAACL 2000 Proceedings of the 1st North American chapter of the Association for Computational Linguistics conference
Definition and analysis of intermediate entailment levels
EMSEE '05 Proceedings of the ACL Workshop on Empirical Modeling of Semantic Equivalence and Entailment
Automatic evaluation of learner self-explanations and erroneous responses for dialogue-based ITSs
ITS'12 Proceedings of the 11th international conference on Intelligent Tutoring Systems
Hi-index | 0.00 |
We present in this paper the structure of a textual entailer, offer a detailed view of lexical aspects of entailment and study the impact of syntactic information on the overall performance of the textual entailer. It is shown that lemmatization has a big impact on the lexical component of our approach and that syntax leads to accurate entailment decisions for a subset of the test data.