A Smart System to Generate and Validate Question Answer Pairs for COVID-19 Literature

no code implementations • EMNLP (sdp) 2020 • Rohan Bhambhoria, Luna Feng, Dawn Sepehr, John Chen, Conner Cowling, Sedef Kocak, Elham Dolatabadi

Automatically generating question answer (QA) pairs from the rapidly growing coronavirus-related literature is of great value to the medical community.

Active Learning

Litigation Analytics: Extracting and querying motions and orders from US federal courts

no code implementations • NAACL 2019 • Thomas Vacek, Dezhao Song, Hugo Molina-Salgado, Ronald Teo, Conner Cowling, Frank Schilder

In addition to a keyword search for judges, lawyers, law firms, parties and courts, we also implemented a question answering interface that offers targeted questions in order to get to the respective answers quicker.

BIG-bench Machine Learning Question Answering

Litigation Analytics: Case Outcomes Extracted from US Federal Court Dockets

no code implementations • WS 2019 • Thomas Vacek, Ronald Teo, Dezhao Song, Timothy Nugent, Conner Cowling, Frank Schilder

Dockets contain a wealth of information for planning a litigation strategy, but the information is locked up in semi-structured text.