Journal of Automated Reasoning
Knowledge Representation and the Semantics of Natural Language (Cognitive Technologies)
Knowledge Representation and the Semantics of Natural Language (Cognitive Technologies)
CADE-21 Proceedings of the 21st international conference on Automated Deduction: Automated Deduction
System Description: E- KRHyper
CADE-21 Proceedings of the 21st international conference on Automated Deduction: Automated Deduction
Exploring Robustness Enhancements for Logic-Based Passage Filtering
KES '08 Proceedings of the 12th international conference on Knowledge-Based Intelligent Information and Engineering Systems, Part I
Automatic answer validation using COGEX
CLEF'06 Proceedings of the 7th international conference on Cross-Language Evaluation Forum: evaluation of multilingual and multi-modal information retrieval
University of Alicante at QA@CLEF2006: answer validation exercise
CLEF'06 Proceedings of the 7th international conference on Cross-Language Evaluation Forum: evaluation of multilingual and multi-modal information retrieval
Extending a logic-based question answering system for administrative texts
CLEF'09 Proceedings of the 10th cross-language evaluation forum conference on Multilingual information access evaluation: text retrieval experiments
IJCAI'11 Proceedings of the Twenty-Second international joint conference on Artificial Intelligence - Volume Volume Three
System description: E-KRHyper 1.4: extensions for unique names and description logic
CADE'13 Proceedings of the 24th international conference on Automated Deduction
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LogAnswer is an open domain question answering system which employs an automated theorem prover to infer correct replies to natural language questions. For this purpose LogAnswer operates on a large axiom set in first-order logic, representing a formalized semantic network acquired from extensive textual knowledge bases. The logicbased approach allows the formalization of semantics and background knowledge, which play a vital role in deriving answers. We present the functional LogAnswer prototype, which consists of automated theorem provers for logical answer derivation as well as an environment for deep linguistic processing.