Problems of the part-whole relation
Relational models of the lexicon
C4.5: programs for machine learning
C4.5: programs for machine learning
A conceptual theory of part-whole relations and its applications
Data & Knowledge Engineering - Special issue on modeling parts and wholes
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Finding parts in very large corpora
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Automatic Discovery of Part-Whole Relations
Computational Linguistics
Similarity of Semantic Relations
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Distant supervision for relation extraction without labeled data
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Language Resources and Evaluation
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The discovery of semantic relations from text becomes increasingly important for applications such as Question Answering, Information Extraction, Text Summarization, Text Understanding, and others. The semantic relations are detected by checking selectional constraints. This paper presents a method and its results for learning semantic constraints to detect part-whole relations. Twenty constraints were found. Their validity was tested on a 10,000 sentence corpus, and the targeted part-whole relations were detected with an accuracy of 83%.