Some papers on legal informatics have been accepted for ACM SIGIR 2014 (the conference of the ACM information retrieval special interest group), being held 6-11 July 2014 in Broadbeach, Queensland, Australia:
- Gordon V. Cormack and Maura R. Grossman: Evaluation of Machine Learning Protocols for Technology-Assisted Review in Electronic Discovery
- Jyothi Vinjumur, Douglas W Oard, and Jiaul Paik: Assessing the Usability and Reusability of an E-Discovery Privilege Test Collection
In addition, Cheng Li says that the approach described in the following paper is applicable to legal information retrieval:
- Cheng Li, Yue Wang, Paul Resnick, and Qiaozhu Mei (all of the University of Michigan): ReQ-ReC: High Recall Retrieval with Query Pooling and Interactive Classification
For abstracts and full text of papers, please contact the authors.
If you know of other legal informatics papers or posters that have been accepted for the conference, please feel free to mention them in the comments to this post.
HT Cheng Li
Filed under: Applications, Articles and papers, Conference papers, Research findings, Technology developments, Technology tools Tagged: ACM SIGIR, ACM SIGIR 2014, Automated classification of legal documents, Cheng Li, Douglas Oard, Douglas W. Oard, ediscovery, ediscovery and legal information retrieval, Electronic discovery, Gordon Cormack, Gordon V. Cormack, Jiaul Paik, Jyothi Vinjumur, Legal information retrieval, Legal machine learning, Legal search, Machine learning and ediscovery, Machine learning and law, Machine learning and legal information retrieval, Maura Grossman, Maura R. Grossman, Paul Resnick, Qiaozhu Mei, Technology assisted review in ediscovery, Yue Wang
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