Search Results for author: Thomas Vacek

Found 3 papers, 0 papers with code

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.

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

Ordering as privileged information

no code implementations30 Jun 2016 Thomas Vacek

We propose to accelerate the rate of convergence of the pattern recognition task by directly minimizing the variance diameters of certain hypothesis spaces, which are critical quantities in fast-convergence results. We show that the variance diameters can be controlled by dividing hypothesis spaces into metric balls based on a new order metric.

Model Selection

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