We conduct research in natural language processing: clinical NLP, temporal reasoning, NLP for social media and much more!
Text Machine Lab is organizing a SemEval-2017 task Normalization of Medical Concepts in Clinical Narrative (Task 11). Help spread the word!May 2018
LREC 2018 Tutorial: Distributional compositional semantics in the age of word embeddings: tasks, resources and methodology.Apr 2018
Text Machine Lab is hiring! Two PhD positions open, available immediately.Jan 2018
We are a hosting site for for the North American Computational Linguistics Olympiad (NACLO)Jan 2017
We are going to serve as a hosting site for for the North American Computational Linguistics Olympiad (NACLO). Please register to participate by 1 pm EST on January 25, 2017. Check out time, location, and other details.Jun 2016
Jun 2016. Text Machine Lab is organizing a SemEval-2017 task #HashtagWars: Learning a Sense of Humor (Task 6). Training data for the task was released on September 5, 2016. Evaluation will start on January 9, 2017. Please register to participate!Jun 2016
We are organizing a workshop on Clinical Natural Language Processing at COLING 2016. Submission deadline is September 25, 2016. Please submit your work!Jan 2016
Text Machine Lab’s system for measuring semantic similarity of text (SimiHawk) placed 7th out of 119 systems submitted to the Semantic Textual Similarity task in SemEval 2016 (Task 1), placing our team 6th out of 43 participating teams. Congrats to Peter Potash, Alexey Romanov, and Willie Boag!Jan 2015
Text Machine Lab’s system for Twitter sentiment analysis (TwitterHawk) takes 1st place in SemEval2015 Task 10C (Topic-Based Message Polarity Classification). Congrats to William Boag and Peter Potash!Nov 2014
CliNER system for clinical named entity recognition released @2014 i2b2/UTHealth Shared-Tasks and Workshop on Challenges in Natural Language Processing for Clinical Data.May 2014
LREC 2014 Tutorial: Deep Semantic Annotation with Shallow Methods.Nov 2013
Dagstuhl seminar on Computational Models of Language Meaning in Context.