Research Interests

I study methods for extracting semantic representations from natural-language text. Specifically, I'm working on a scheme for annotating the cause-and-effect relations stated by a text, and systems for extracting and classifying them automatically. I'm particularly interested in ways to incorporate linguistic analysis and insights into natural language technologies, especially the principles of Construction Grammar.

Publications

  • Thesis: Dunietz, Jesse. Annotating and Automatically Tagging Constructions of Causal Language (2018). Ph.D. thesis, Carnegie Mellon University, Pittsburgh, PA. PDF Slides
  • Dunietz, Jesse, Lori Levin, and Jaime Carbonell. "The BECauSE Corpus 2.0: Annotating Causality and Overlapping Relations." Proceedings of LAW XI – The 11th Linguistic Annotation Workshop (2017). PDF Slides
  • Dunietz, Jesse, Lori Levin, and Jaime Carbonell. "Automatically Tagging Constructions of Causation and Their Slot-Fillers." Transactions of the Association for Computational Linguistics (in press). PDF Slides
  • Dunietz, Jesse, Lori Levin, and Jaime Carbonell. "Annotating Causal Language Using Corpus Lexicography of Constructions." Proceedings of LAW IX – The 9th Linguistic Annotation Workshop (2015): 188. PDF Slides
  • Dunietz, Jesse, and Dan Gillick. "A New Entity Salience Task with Millions of Training Examples." Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics (2014): 205. PDF
  • Dunietz, Jesse, Lori Levin, and Jaime Carbonell. "The Effects of Lexical Resource Quality on Preference Violation Detection." Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics (2013): 765. PDF Slides

Non-Archival Publications

  • Dunietz, Jesse, Lori Levin, and Miriam R. L. Petruck. "Construction Detection in a Conventional NLP Pipeline." AAAI Spring Symposium Technical Report SS-17-02: Computational Construction Grammar and Natural Language Understanding (2017). PDF Slides
  • Dunietz, Jesse. "PyDecay/GraphPhys: A Unified Language and Storage System for Particle Decay Process Descriptions." Accepted for publication in DOE Journal of Undergraduate Research, Vol. XI (canceled for funding reasons). Presented as a student poster at the 2011 AAAS Annual Meeting. PDF Poster