Sameer Pradhan is an international expert in the field of computational semantics—A sub-field of natural language processing (NLP) that focuses on enriching data with semantics.
This is a cornerstone of next generation language understanding systems. He has established the cemantix.org portal through which he continues to make contributions to the natural language processing community. He has authored more than 40 articles in top tier machine learning, computational linguistic and medical informatics journals, conferences and edited volumes. His semantic role labeler—ASSERT (Automatic Statistical SEmantic Role Tagger)—is widely cited. He was instrumental in the creation of the OntoNotes corpus—the largest text corpus manually annotated with multiple layers of syntactic, semantic and discourse information across six genres across three languages—English, Chinese and Arabic. He teaches guest lectures to graduate and undergraduate students at Brandeis University and at Harvard University, and has served on the PhD committees of students at Brandeis University and Boston University. He has organized and chaired a few of the prestigious international evaluations in computational natural language learning (CoNLL 2011, 2012, 2015, 2016) and the international semantic evaluations (SemEval 2007, 2014, 2015). He is the founding member of the Association of Computational Linguistics (ACL) Special Interest Group on ANNotation (SIGANN) He is actively involved in the NLP community and has served on the guest editorial board of Computational Linguistics Journal. He serves on program committees of all major NLP conferences such as ACL, HLT/NAACL, COLING, CoNLL, EMNLP, AAAI. He occasionally serves as area chair for in the areas of semantics and language resources and evaluation.