International Conference on Computational Linguistics · 2010 · 30 citations · 20 references
ComputingComputer ScienceComputational LinguisticsNatural Language ProcessingText AnalyticsInformation ExtractionLanguage ModelingN-gram AnalysisNamed Entity RecognitionQuestion AnsweringSyntactic AnalysisNamed Entity-based Extraction
Multiword Expressions (MWEs) appear frequently and ungrammatically in the natural languages. Identifying MWEs in free texts is a very challenging problem. This paper proposes a knowledge-free, training-free, and language-independent Multiword Expression Distance (MED). The new metric is derived from an accepted physical principle, measures the distance from an n-gram to its semantics, and outperforms other state-of-the-art methods on MWEs in two applications: question answering and named entity extraction.
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Word association norms, mutual information, and lexicography
Kenneth Church, Patrick Hanks · 1990 · 3.7K citations
Accurate methods for the statistics of surprise and coincidence
Ted Dunning · 1993 · 2.7K citations