Text Machine Lab

The Text Machine Lab at UMass Lowell conducts research in machine learning applications for natural language processing, with a focus on deep learning methods. Our current projects span the following research areas:

  • computational lexical semantics, distributional analysis and machine learning techniques for representing lexical and sentence-level meaning.
  • text-based temporal reasoning, conversational agents, argument mining
  • clinical natural language processing, including information extraction, and predictive modeling using clinical patient records.
  • digital knowledge and sentiment tracking for digital humanities and social science.
  • News

    Nov 2019

    Be on the lookout for our tutorial on the dataset explosion in QA, NLI, and commonsense reasoning, accepted to COLING 2020! This will be both a guide for practitioners who just want to grab and use smth, and a survey of the latest techniques for future datasets

    Nov 2019

    We are organizing a new EMNLP 2020 workshop Insights from Negative results from NLP. Invited talks by Rada Mihalcea and Byron Wallace! Special focus: breaking pre-trained meaning representations.

    Nov 2019

    The next Clinical Natural Language Processing Workshop will be held at EMNLP 2020. Submission deadline: August 15, 2020.

    Feb 2019

    The 2nd International Summer School for Conversational Intelligence (CISS 2019) will be held at UMass Lowell, June 24-29, 2019. Free to qualifying students! Registration opens Feb 15, 2019. Qualifying round begins Feb 25, 2019. Qualifying round ends Mar 25, 2019.

    Dec 2018

    The next Clinical Natural Language Processing Workshop will be held at NAACL 2019. Submission deadline: Mar 6, 2019.

    Jun 2018

    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.