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Research topics in e-discovery

Dr. Dave Lewis is visiting us in Melbourne on a short sabbatical, and yesterday he gave an interesting talk at RMIT University on research topics in e-discovery. We also had Dr. Paul Hunter, Principal Research Scientist at FTI Consulting, in the audience, as well as research academics from RMIT and the University of Melbourne, including […] → Read More: Research topics in e-discovery

Research topics in e-discovery

Dr. Dave Lewis is visiting us in Melbourne on a short sabbatical, and yesterday he gave an interesting talk at RMIT University on research topics in e-discovery. We also had Dr. Paul Hunter, Principal Research Scientist at FTI Consulting, in the audience, as well as research academics from RMIT and the University of Melbourne, including […] → Read More: Research topics in e-discovery

Research topics in e-discovery

Dr. Dave Lewis is visiting us in Melbourne on a short sabbatical, and yesterday he gave an interesting talk at RMIT University on research topics in e-discovery. We also had Dr. Paul Hunter, Principal Research Scientist at FTI Consulting, in the audience, as well as research academics from RMIT and the University of Melbourne, including […] → Read More: Research topics in e-discovery

Click’n’Cut: Crowdsourced Interactive Segmentation with Object Candidates

Carlier A, Salvador A, Giró-i-Nieto X, Marques O, Charvillat V. Click’n’Cut: Crowdsourced Interactive Segmentation with Object Candidates. In: 3rd International ACM Workshop on Crowdsourcing for Multimedia (CrowdMM). In Press Abstract This paper … → Read More: Click’n’Cut: Crowdsourced Interactive Segmentation with Object Candidates

Random vs active selection of training examples in e-discovery

The problem with agreeing to teach is that you have less time for blogging, and the problem with a hiatus in blogging is that the topic you were in the middle of discussing gets overtaken by questions of more immediate interest. I hope to return to the question of simulating assessor error in a later […] → Read More: Random vs active selection of training examples in e-discovery

Random vs active selection of training examples in e-discovery

The problem with agreeing to teach is that you have less time for blogging, and the problem with a hiatus in blogging is that the topic you were in the middle of discussing gets overtaken by questions of more immediate interest. I hope to return to the question of simulating assessor error in a later […] → Read More: Random vs active selection of training examples in e-discovery

Random vs active selection of training examples in e-discovery

The problem with agreeing to teach is that you have less time for blogging, and the problem with a hiatus in blogging is that the topic you were in the middle of discussing gets overtaken by questions of more immediate interest. I hope to return to the question of simulating assessor error in a later […] → Read More: Random vs active selection of training examples in e-discovery

Random vs active selection of training examples in e-discovery

The problem with agreeing to teach is that you have less time for blogging, and the problem with a hiatus in blogging is that the topic you were in the middle of discussing gets overtaken by questions of more immediate interest. I hope to return to the question of simulating assessor error in a later […] → Read More: Random vs active selection of training examples in e-discovery

Random vs active selection of training examples in e-discovery

The problem with agreeing to teach is that you have less time for blogging, and the problem with a hiatus in blogging is that the topic you were in the middle of discussing gets overtaken by questions of more immediate interest. I hope to return to the question of simulating assessor error in a later […] → Read More: Random vs active selection of training examples in e-discovery

Do Topic-Dependent Models Improve Microblog Sentiment Estimation?

When estimating the sentiment of movie and product reviews, domain adaptation has been shown to improve sentiment estimation performance.  But when estimating the sentiment in microblogs, topic-independent sentiment models are commonly used. We examined whether topic-dependent models improve performance when a large number of training tweets are available. We collected tweets with emoticons for six […] → Read More: Do Topic-Dependent Models Improve Microblog Sentiment Estimation?