Conceptual structures: information processing in mind and machine
Conceptual structures: information processing in mind and machine
TEAM: an experiment in the design of transportable natural-language interfaces
Artificial Intelligence
SALT: a knowledge acquisition language for propose-and-revise systems
Artificial Intelligence
Task modeling with reusable problem-solving methods
Artificial Intelligence
Deriving expectations to guide knowledge base creation
AAAI '99/IAAI '99 Proceedings of the sixteenth national conference on Artificial intelligence and the eleventh Innovative applications of artificial intelligence conference innovative applications of artificial intelligence
Question-answering by predictive annotation
SIGIR '00 Proceedings of the 23rd annual international ACM SIGIR conference on Research and development in information retrieval
A library of generic concepts for composing knowledge bases
Proceedings of the 1st international conference on Knowledge capture
Representing roles and purpose
Proceedings of the 1st international conference on Knowledge capture
Understanding metonymies in discourse
Artificial Intelligence
Understanding Natural Language
Understanding Natural Language
Speech and Language Processing: An Introduction to Natural Language Processing, Computational Linguistics, and Speech Recognition
A Trainable Bracketer for Noun Modifiers
AI '98 Proceedings of the 12th Biennial Conference of the Canadian Society for Computational Studies of Intelligence on Advances in Artificial Intelligence
The process of question answering.
The process of question answering.
Semiautomatic recognition of semantic relationships in english technical texts
Semiautomatic recognition of semantic relationships in english technical texts
Meta-rules as a basis for processing ill-formed input
Computational Linguistics - Special issue on ill-formed input
Semi-automatic recognition of noun modifier relationships
COLING '98 Proceedings of the 17th international conference on Computational linguistics - Volume 1
Algorithm for automatic interpretation of noun sequences
COLING '94 Proceedings of the 15th conference on Computational linguistics - Volume 2
Interpretation of nominal compounds: combining domain-independent and domain-specific information
COLING '96 Proceedings of the 16th conference on Computational linguistics - Volume 1
COGEX: a logic prover for question answering
NAACL '03 Proceedings of the 2003 Conference of the North American Chapter of the Association for Computational Linguistics on Human Language Technology - Volume 1
Question answering passage retrieval using dependency relations
Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval
Metonymy resolution as a classification task
EMNLP '02 Proceedings of the ACL-02 conference on Empirical methods in natural language processing - Volume 10
Advances in Open Domain Question Answering (Text, Speech and Language Technology)
Advances in Open Domain Question Answering (Text, Speech and Language Technology)
Interpreting loosely encoded questions
AAAI'04 Proceedings of the 19th national conference on Artifical intelligence
SemEval-2007 task 08: metonymy resolution at SemEval-2007
SemEval '07 Proceedings of the 4th International Workshop on Semantic Evaluations
GYDER: maxent metonymy resolution
SemEval '07 Proceedings of the 4th International Workshop on Semantic Evaluations
UTD-HLT-CG: semantic architecture for metonymy resolution and classification of nominal relations
SemEval '07 Proceedings of the 4th International Workshop on Semantic Evaluations
On the interaction of metonymies and anaphora
IJCAI'97 Proceedings of the Fifteenth international joint conference on Artifical intelligence - Volume 2
Integrating expectations from different sources to help end users acquire procedural knowledge
IJCAI'01 Proceedings of the 17th international joint conference on Artificial intelligence - Volume 2
Explicit representations of problem-solving strategies to support knowledge acquisition
AAAI'96 Proceedings of the thirteenth national conference on Artificial intelligence - Volume 1
Hi-index | 0.00 |
Knowledge-based systems are often brittle when given unanticipated input, i.e. assertions or queries that misalign with the ontology of the knowledge base. We call such misalignments ''loose speak''. We found that loose speak occurs frequently in interactions with knowledge-based systems, but with such regularity that it often can be interpreted and corrected algorithmically. We also found that the common types of loose speak, such as metonymy and noun-noun compounds, have a common root cause. We created a Loose-Speak Interpreter and evaluated it with a variety of empirical studies in different domains and tasks. We found that a single, parsimonious algorithm successfully interpreted numerous manifestations of loose speak with an average precision of 98% and an average recall of 90%.