Natural language processing and knowledge representation
DIRT @SBT@discovery of inference rules from text
Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining
A maximum-entropy-inspired parser
NAACL 2000 Proceedings of the 1st North American chapter of the Association for Computational Linguistics conference
Automatic detection of causal relations for Question Answering
MultiSumQA '03 Proceedings of the ACL 2003 workshop on Multilingual summarization and question answering - Volume 12
Acquisition of verb entailment from text
HLT-NAACL '06 Proceedings of the main conference on Human Language Technology Conference of the North American Chapter of the Association of Computational Linguistics
Deriving generalized knowledge from corpora using WordNet abstraction
EACL '09 Proceedings of the 12th Conference of the European Chapter of the Association for Computational Linguistics
Open information extraction from the web
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Open knowledge extraction through compositional language processing
STEP '08 Proceedings of the 2008 Conference on Semantics in Text Processing
Wide-coverage semantic analysis with Boxer
STEP '08 Proceedings of the 2008 Conference on Semantics in Text Processing
Learning first-order Horn clauses from web text
EMNLP '10 Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing
Using textual patterns to learn expected event frequencies
AKBC-WEKEX '12 Proceedings of the Joint Workshop on Automatic Knowledge Base Construction and Web-scale Knowledge Extraction
Reporting bias and knowledge acquisition
Proceedings of the 2013 workshop on Automated knowledge base construction
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Reasoning about ordinary human situations and activities requires the availability of diverse types of knowledge, including expectations about the probable results of actions and the lexical entailments for many predicates. We describe initial work to acquire such a collection of conditional (if--then) knowledge by exploiting presuppositional discourse patterns (such as ones involving 'but', 'yet', and 'hoping to') and abstracting the matched material into general rules.