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Logic programming infrastructure for inferences on FrameNet. (English) Zbl 1111.68377

Alferes, José Júlio (ed.) et al., Logics in artificial intelligence. 9th European conference, JELIA 2004, Lisbon, Portugal, September 27–30, 2004. Proceedings. Berlin: Springer (ISBN 3-540-23242-7/pbk). Lecture Notes in Computer Science 3229. Lecture Notes in Artificial Intelligence, 591-603 (2004).
Summary: The growing size of electronically available text corpora like companies’ intranets or the WWW has made information access a hot topic within Computational Linguistics. Despite the success of statistical or keyword based methods, deeper Knowledge Representation (KR) techniques along with “inference” are often mentioned as mandatory, e.g. within the Semantic Web context, to enable e.g. better query answering based on “semantical” information. In this paper we try to contribute to the open question how to operationalize semantic information on a larger scale. As a basis we take the frame structures of the Berkeley FrameNet II project, which is a structured dictionary to explain the meaning of words from a lexicographic perspective. Our main contribution is a transformation of the FrameNet II frames into the answer set programming paradigm of logic programming.
Because a number of different reasoning tasks are subsumed under “inference” in the context of natural language processing, we emphasize the flexibility of our transformation. Together with methods for automatic annotation of text documents with frame semantics which are currently developed at various sites, we arrive at an infrastructure that supports experimentation with semantic information access as is currently demanded for.
For the entire collection see [Zbl 1056.68002].

MSC:

68N17 Logic programming
68T30 Knowledge representation
68T50 Natural language processing

Software:

FrameNet
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