292 citations
- University of WashingtonUS14 papers
- Allen InstituteUS7 papers
- California University of PennsylvaniaUS7 papers
- University of PennsylvaniaUS7 papers
- Bar-Ilan UniversityIL4 papers
- Carnegie Mellon UniversityUS4 papers
- Massachusetts Institute of TechnologyUS3 papers
- Northwestern UniversityUS3 papers
- Cornell UniversityUS2 papers
- Hebrew University of JerusalemIL2 papers
- Indiana UniversityUS2 papers
- Stanford UniversityUS2 papers
28 papers · 1 filter
ProKnow: Process Knowledge for Safety Constrained and Explainable Question Generation for Mental Health Diagnostic Assistance
Kaushik Roy, Manas Gaur, Misagh Soltani +3
Current Virtual Mental Health Assistants (VMHAs) provide counseling and suggestive care. They refrain from patient diagnostic assistance because they lack training in safety-constr…
Overview and Insights from the SciVer Shared Task on Scientific Claim Verification
David Wadden, Kyle Lo
We present an overview of the SciVer shared task, presented at the 2nd Scholarly Document Processing (SDP) workshop at NAACL 2021. In this shared task, systems were provided a scie…
Enforcing Consistency in Weakly Supervised Semantic Parsing
Nitish Gupta, Sameer Singh, Matt Gardner
The predominant challenge in weakly supervised semantic parsing is that of spurious programs that evaluate to correct answers for the wrong reasons. Prior work uses elaborate searc…
FLEX: Unifying Evaluation for Few-Shot NLP
Jonathan Bragg, Arman Cohan, Kyle Lo +1
Few-shot NLP research is highly active, yet conducted in disjoint research threads with evaluation suites that lack challenging-yet-realistic testing setups and fail to employ care…
Investigating Transfer Learning in Multilingual Pre-trained Language Models through Chinese Natural Language Inference
Hai Hu, He Zhou, Zuoyu Tian +5
Multilingual transformers (XLM, mT5) have been shown to have remarkable transfer skills in zero-shot settings. Most transfer studies, however, rely on automatically translated reso…
Ethical-Advice Taker: Do Language Models Understand Natural Language Interventions?
Jieyu Zhao, Daniel Khashabi, Tushar Khot +2
Is it possible to use natural language to intervene in a model's behavior and alter its prediction in a desired way? We investigate the effectiveness of natural language interventi…