The interfaces used in business intelligence and data analytics are becoming smarter, conversational, and more powerful because, at long last, computational semantics are starting to be applied. The ...

Distributional semantics obtains representations of the meaning of words by processing thousands of texts and extracting generalizations using computational algorithms. Despite the popularity of ...

IWCS is the bi-yearly meeting of SIGSEM, the ACL special interest group on semantics; this year’s edition is hosted by Queen Mary’s Computational Linguistics Lab. The aim of the IWCS conference is to ...

The authors examine aspect and the semantic classification of verbs, two areas of concern for natural language processing not often studied in the context of computational linguistics. A five-way ...

Hands-on introduction to computational methods in empirical linguistic analysis and natural language processing. Topics include language modeling, text classification, linguistic annotation, ...

Our goal is richer and more accurate representations of utterances in English, Chinese, Hindi/Urdu, and Arabic. Our principle approach involves the application of supervised machine learning to data ...

James Pustejovsky is the TJX Feldberg Chair in Computer Science at Brandeis University, where he is also Chair of the Linguistics Program, Chair of the Computational Linguistics M.S. Program, and ...

Distributional semantics obtains representations of the meaning of words by processing thousands of texts and extracting generalizations using computational algorithms. Despite the popularity of ...