DIRT @SBT@discovery of inference rules from text
Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining
Automatic labeling of semantic roles
Computational Linguistics
Head-driven statistical models for natural language parsing
Head-driven statistical models for natural language parsing
COLING '98 Proceedings of the 17th international conference on Computational linguistics - Volume 1
The Proposition Bank: An Annotated Corpus of Semantic Roles
Computational Linguistics
Automatic learning of textual entailments with cross-pair similarities
ACL-44 Proceedings of the 21st International Conference on Computational Linguistics and the 44th annual meeting of the Association for Computational Linguistics
Effectively using syntax for recognizing false entailment
HLT-NAACL '06 Proceedings of the main conference on Human Language Technology Conference of the North American Chapter of the Association of Computational Linguistics
Modeling semantic containment and exclusion in natural language inference
COLING '08 Proceedings of the 22nd International Conference on Computational Linguistics - Volume 1
Semantic role assignment for event nominalisations by leveraging verbal data
COLING '08 Proceedings of the 22nd International Conference on Computational Linguistics - Volume 1
Combining word sense and usage for modeling frame semantics
STEP '08 Proceedings of the 2008 Conference on Semantics in Text Processing
Definition and analysis of intermediate entailment levels
EMSEE '05 Proceedings of the ACL Workshop on Empirical Modeling of Semantic Equivalence and Entailment
Proceedings of the ACL-PASCAL Workshop on Textual Entailment and Paraphrasing
RTE '07 Proceedings of the ACL-PASCAL Workshop on Textual Entailment and Paraphrasing
A semantic approach to textual entailment: system evaluation and task analysis
RTE '07 Proceedings of the ACL-PASCAL Workshop on Textual Entailment and Paraphrasing
On the role of lexical and world knowledge in RTE3
RTE '07 Proceedings of the ACL-PASCAL Workshop on Textual Entailment and Paraphrasing
Textual entailment through extended lexical overlap and lexico-semantic matching
RTE '07 Proceedings of the ACL-PASCAL Workshop on Textual Entailment and Paraphrasing
A discourse commitment-based framework for recognizing textual entailment
RTE '07 Proceedings of the ACL-PASCAL Workshop on Textual Entailment and Paraphrasing
The PASCAL recognising textual entailment challenge
MLCW'05 Proceedings of the First international conference on Machine Learning Challenges: evaluating Predictive Uncertainty Visual Object Classification, and Recognizing Textual Entailment
What syntax can contribute in the entailment task
MLCW'05 Proceedings of the First international conference on Machine Learning Challenges: evaluating Predictive Uncertainty Visual Object Classification, and Recognizing Textual Entailment
Combining word sense and usage for modeling frame semantics
STEP '08 Proceedings of the 2008 Conference on Semantics in Text Processing
Assessing the role of discourse references in entailment inference
ACL '10 Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics
A survey of paraphrasing and textual entailment methods
Journal of Artificial Intelligence Research
Evaluating FrameNet-style semantic parsing: the role of coverage gaps in FrameNet
COLING '10 Proceedings of the 23rd International Conference on Computational Linguistics: Posters
Abductive reasoning with a large knowledge base for discourse processing
IWCS '11 Proceedings of the Ninth International Conference on Computational Semantics
FrameNet, current collaborations and future goals
Language Resources and Evaluation
Terminological paraphrase extraction from scientific literature based on predicate argument tuples
Journal of Information Science
Wikipedia-based WSD for multilingual frame annotation
Artificial Intelligence
Learning to predict from textual data
Journal of Artificial Intelligence Research
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In this article, we underpin the intuition that frame semantic information is a useful resource for modelling textual entailment. To this end, we provide a manual frame semantic annotation for the test set used in the second recognizing textual entailment (RTE) challenge – the FrameNet-annotated textual entailment (FATE) corpus – and discuss experiments we conducted on this basis. In particular, our experiments show that the frame semantic lexicon provided by the Berkeley FrameNet project provides surprisingly good coverage for the task at hand. We identify issues of automatic semantic analysis components, as well as insufficient modelling of the information provided by frame semantic analysis as reasons for ambivalent results of current systems based on frame semantics.