1 citations · 1 across the 4 of their papers we have counts for
5 papers
Adapting to the Long Tail: A Meta-Analysis of Transfer Learning Research for Language Understanding Tasks
Aakanksha Naik, Jill Lehman, Carolyn Rose
Natural language understanding (NLU) has made massive progress driven by large benchmarks, but benchmarks often leave a long tail of infrequent phenomena underrepresented. We refle…
Robust Knowledge Graph Completion with Stacked Convolutions and a Student Re-Ranking Network
Justin Lovelace, Denis Newman-Griffis, Shikhar Vashishth +2
Knowledge Graph (KG) completion research usually focuses on densely connected benchmark datasets that are not representative of real KGs. We curate two KG datasets that include bio…
Translational NLP: A New Paradigm and General Principles for Natural Language Processing Research
Denis Newman-Griffis, Jill Fain Lehman, Carolyn Rosé +1
Natural language processing (NLP) research combines the study of universal principles, through basic science, with applied science targeting specific use cases and settings. Howeve…
MedFilter: Improving Extraction of Task-relevant Utterances from Doctor-Patient Conversations through Integration of Discourse Structure and Ontological Knowledge
Sopan Khosla, Shikhar Vashishth, Jill Fain Lehman +1
Information extraction from conversational data is particularly challenging because the task-centric nature of conversation allows for effective communication of implicit informati…
Adapting Event Extractors to Medical Data: Bridging the Covariate Shift
Aakanksha Naik, Jill Lehman, Carolyn Rose
We tackle the task of adapting event extractors to new domains without labeled data, by aligning the marginal distributions of source and target domains. As a testbed, we create tw…