A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2003; you can also visit the original URL.
The file type is application/pdf
.
DIRT @SBT@discovery of inference rules from text
2001
Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining - KDD '01
In this paper, we propose an unsupervised method for discovering inference rules from text, such as "X is author of Y ≈ X wrote Y", "X solved Y ≈ X found a solution to Y", and "X caused Y ≈ Y is triggered by X". Inference rules are extremely important in many fields such as natural language processing, information retrieval, and artificial intelligence in general. Our algorithm is based on an extended version of Harris' Distributional Hypothesis, which states that words that occurred in the
doi:10.1145/502512.502559
fatcat:p4bywzdfgrg2laryvoj2ibjsfm