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Induction, Logic, and Natural Language Processing (1996) [1 citations — 0 self]

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by Luc Dehaspe , Hendrik Blockeel , Luc De Raedt

In Proceedings of the Joint elsnet/compulognet /eagles Workshop on Computational Logic for Natural Language Processing, South

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@INPROCEEDINGS{Dehaspe96induction,logic,,
    author = {Luc Dehaspe and Hendrik Blockeel and Luc De Raedt},
    title = {Induction, Logic, and Natural Language Processing},
    booktitle = {In Proceedings of the Joint elsnet/compulognet /eagles Workshop on Computational Logic for Natural Language Processing, South},
    year = {1996}
}

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Abstract:

. While computational logic has become widely used for representing and reasoning with linguistic knowledge, the cross-fertilization between logic programming and machine learning has given rise to a new discipline known as inductive logic programming. Inspired by, and building on the achievements of logic programming within both natural language research and machine learning, we point out opportunities for induction of linguistic knowledge within logic (programming). Keywords: inductive logic programming, natural language processing, logic programming, machine learning. 1 Introduction There is a growing interest amongst both linguistic engineers and machine learning researchers for applying symbolic learning algorithms in natural language R&D 1 . Linguists confronted with the high cost of development of essential resources are drawn towards machine learning in search for generic technologies to exploit corpora for system training purposes. Vice versa machine learning researchers a...

Citations

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