I am currently working as a research scientist at Google. I am interested in NLP and machine learning and have been working on projects that fall in the intersection of NLP and computational social science. In June 2020, I received a PhD from the CSE department at University of Washington, advised by Prof. Yejin Choi. Before graduate school, I was an undergraduate student at University of Illinois at Urbana-Champaign.
I have previously worked as an intern at MSR (working with Asli Celikyilmaz, summer 2019), a part-time research intern at the Allen Institute of Artificial Intelligence (the Mosaic project for commonsense reasoning, 2018-2019), an intern at FAIR (with Y-Lan Boureau, summer 2018) and an intern at Pacific Northwest National Laboratory (with Svitlana Volkova, summer 2016). My full CV can be downloaded from here.
Email address: hrashkin at cs dot washington dot edu
New benchmark for measuring models' ability to reason about social interactions
Project Page PaperInferring changes in character motivations and emotional reactions in short commonsense narratives
Project Page ACL 2018 paperMultilingual analysis of connotation over twitter.
Project Page ACL 2017 Short PaperNew dataset and task for empathetic response generation
Project Page ACL 2019 paperLarge-scale commonsense knowledge graph for if-then reasoning about events
Project Page AAAI 2019 paperPragmatic inference of the intent and reactions of participants in events
Project Page ACL 2018 paperInvestigating predicate-specific lexicons for connotative relationships implied by word choice.
Project Page ACL 2016 paperIncorporating power and agency to connotation frame lexicon with analysis of gender bias in movies
Project Page EMNLP 2017 short paperLinguistic analysis of subtle persuasive techniques to detect truth-bending
Project Page EMNLP 2017 short paperIncorporating social theories to perform entity-entity sentiment inference at a document level.
Demo Page ACL 2016 PaperDesign by TEMPLATED under the Creative Commons Attribution 3.0 license