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 ...

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 ...

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

Probabilistic programming languages (PPLs) have emerged as a transformative tool for expressing complex statistical models and automating inference procedures. By integrating probability theory into ...

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

Supervised machine learning is widely used in natural language processing and, based on the extensive OntoNotes sense tagged data, we have a state-of-the-art WSD system for English verbs that ...

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 ...