UdeM-McGill-MITACS machine learning seminar Fri March 27th, 15:00,
Friday's seminar (see http://www.iro.umontreal.ca/article.php3?id_article=107&lang=en): Machine Learning and Computational Linguistics: Tools of the Trade (or, The Data Acquisition Mental Bottleneck) by Jeremy Barnes Location: Pavillon André-Aisenstadt (UdeM), room 3195 Time: March 27th, 15h00 Computational Linguistics is a field where Machine Learning algorithms are ubiquitously applied. However, the gap between a good idea or a published paper and a commercial system is often large. The kinds of problems that can beset a machine learning practitioner in this field will be dissected and the tools and techniques used to overcome them explored. A particular emphasis is placed on the mapping of linguistics problems onto a machine learning problem and the complexities associated with obtaining and using linguistic datasets. In addition, common wisdom such as the "Data Acquisition Bottleneck" is sometimes cited both as a reason for the ineffectiveness of a machine learning solution and for abandoning promising approaches. This bottleneck will be analyzed and shown to be maybe more of a mental than a practical bottleneck. The seminar should be relevant to both computational linguists and machine learning practitioners, as well as anyone who is interested in the large-scale use of machine learning to solve problems in an industry environment. The tone will be relatively informal. Bio: Jeremy Barnes recently finished a 8 1/2 year stint at Idilia Inc, a Montreal-based company that has developed and commercialized Word Sense Disambiguation, knowledge extraction and paraphrasing technology see (www.idilia.com). Beginning as the first R&D employee in the company, he artitected the technology around machine learning and has applied machine learning to numerous unsolved or semi-solved problems in the domain.
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Reminder: ---------- Forwarded message ---------- From: Dumitru Erhan <dumitru.erhan@umontreal.ca> Date: Mon, Mar 23, 2009 at 15:37 Subject: [Lisa_seminaires] UdeM-McGill-MITACS machine learning seminar Fri March 27th, 15:00, To: lisa_seminaires@iro.umontreal.ca, Jeremy Barnes <jeremy@barneso.com> Friday's seminar (see http://www.iro.umontreal.ca/article.php3?id_article=107&lang=en): Machine Learning and Computational Linguistics: Tools of the Trade (or, The Data Acquisition Mental Bottleneck) by Jeremy Barnes Location: Pavillon André-Aisenstadt (UdeM), room 3195 Time: March 27th, 15h00 Computational Linguistics is a field where Machine Learning algorithms are ubiquitously applied. However, the gap between a good idea or a published paper and a commercial system is often large. The kinds of problems that can beset a machine learning practitioner in this field will be dissected and the tools and techniques used to overcome them explored. A particular emphasis is placed on the mapping of linguistics problems onto a machine learning problem and the complexities associated with obtaining and using linguistic datasets. In addition, common wisdom such as the "Data Acquisition Bottleneck" is sometimes cited both as a reason for the ineffectiveness of a machine learning solution and for abandoning promising approaches. This bottleneck will be analyzed and shown to be maybe more of a mental than a practical bottleneck. The seminar should be relevant to both computational linguists and machine learning practitioners, as well as anyone who is interested in the large-scale use of machine learning to solve problems in an industry environment. The tone will be relatively informal. Bio: Jeremy Barnes recently finished a 8 1/2 year stint at Idilia Inc, a Montreal-based company that has developed and commercialized Word Sense Disambiguation, knowledge extraction and paraphrasing technology see (www.idilia.com). Beginning as the first R&D employee in the company, he artitected the technology around machine learning and has applied machine learning to numerous unsolved or semi-solved problems in the domain. _______________________________________________ Lisa_seminaires mailing list Lisa_seminaires@mercure.iro.umontreal.ca https://webmail.iro.umontreal.ca/mailman/listinfo/lisa_seminaires -- MTL: +1-514-432-8435
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Dumitru Erhan