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.

attr2vec: Jointly Learning Word and Contextual Attribute Embeddings with Factorization Machines

no code implementations • NAACL 2018 • Fabio Petroni, Vassilis Plachouras, Timothy Nugent, Jochen L. Leidner

Our experimental results on a text classification task demonstrate that using attr2vec to jointly learn embeddings for words and Part-of-Speech (POS) tags improves results compared to learning the embeddings independently.

Attribute Dependency Parsing +6

A Comparison of Two Paraphrase Models for Taxonomy Augmentation

no code implementations • NAACL 2018 • Vassilis Plachouras, Fabio Petroni, Timothy Nugent, Jochen L. Leidner

Our results show that paraphrasing is a viable method to enrich a taxonomy with more terms, and that Moses consistently outperforms the sequence-to-sequence neural model.

Document Classification Machine Translation +3