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April 26, 2013 – Andrew Gelman, Professor of Statistics and Political Science at Columbia University, presented his seminar, “Causality and Statistical Learning” at the Graduate Center.
This was the final Data Mining Initiative seminar of the Spring Semester, but Professor Gelman certainly delivered an entertaining and informative talk. If you were not able to attend the talk, be sure to catch it here.
Call for Papers: 2013 IEEE International Conference on Big Data (IEEE BigData 2013)
October 6-9, 2013, Silicon Valley, CA, USA
(Do you think they know that the Silicon Valley isn’t a city?)
Savvy with WordPress, passionate about FOSS, interested in technology as a pedagogical tool, or as a mode of expression, or civic engagement? A yes to any of of the above means you should check out the job posting for OpenCUNY below.
DSC Final Hiring Reminder: Two (Paid) OpenCUNY Coordinator Positions http://tinyurl.com/cce57nm
12:00pm – 1:15pm Poster Session – lunch will be served.
1:15pm – 1:30pm “How the ITP certificate program can improve teaching and learning” (Dr. Stephen Brier, Professor and ITP certificate program Coordinator, GC CUNY)
1:30pm – 1:55pm “Provost’s Office initiatives” (Dr. Ann Henderson, Associate Provost and Dean for the Doctoral Sciences, GC CUNY)
1:55pm – 2:30pm Poster Session
2:30pm – 2:55pm “An introduction to grants” (Adrienne Klein, Director of Special Projects, GC Research & Sponsored Programs, co-Director of Science & the Arts program)
2:55pm – 3:20pm “Career planning” (Dr. Jennifer Furlong, Director of Career Planning and Professional Development, GC CUNY).
3:20pm – 4:00pm Poster Session – beer, wine and snacks will be served.
The CUNY-NLP Seminar presents: Consistency in information extraction
Speaker: David J McClosky (IBM Research)
Time: 2:15pm-3:30pm, April 26, Friday
Place: Room 6496, CUNY Graduate Center. 5th Ave & 34th St.
Information extraction, the task of finding entities, relations, and events from natural language, is an important building block in computational semantics. However, information extraction models of complex events with many subparts tend to model the parts independently. This sometimes leads them to predict inconsistent structures.
For example, an independent classifier for temporal relations could potentially predict that an individual died before they were born. While completely eliminating these assumptions is often difficult or intractable, this talk explores two mechanisms for ameliorating their effect.
The first technique casts a biomedical event extraction task as a dependency parsing problem. By converting event structures to a labeled dependency modification graph, off-the-shelf parsers can be used to perform event extraction with minimal modification. Other parsing strategies such as model combination and reranking can be employed for improved performance.
The second method shows how a global consistency layer can be added to a string of independent classifiers to extract the temporal spans of relations for named entities. The global consistency layer automatically learns probabilistic constraints from the data and can be easily incorporated. The combined model using independent classifiers with global consistency can use Gibbs sampling or random restart hill climbing for inference.
David McClosky is a research scientist at IBM Research working on the Watson project. His primary research interests lie at the intersection of syntactic parsing and information extraction. He obtained his Ph.D. in Computer Science at Brown University in 2009 on semi-supervised methods and domain adaptation for parsing. More recently, he was a postdoctoral researcher in the Natural Language Processing Group in the Stanford Computer Science Department. His semi-supervised biomedical syntactic parser was used by all leading systems in the BioNLP 2011 shared task and his event extractor was a component in the best performing system.
The submission deadline has now been extended until April 22nd. After that date, proposals will no longer be accepted.
Registration for the Computer Science Student Workshop is open! Please register until April 12 (especially if you are planning to present a poster). Use the registration link in order to register.
Hope to see you there!
Deadline: April 8, 2013
Award range: $500 to $3000
To submit: Send a single PDF file containing all parts of the application to email@example.com “Provost’s Digital Innovation Grant Proposal” in the subject line.
The Graduate Center Digital Initiatives project of the Provost’s Office is delighted to announce a call for proposals in support of innovative digital projects designed, created, programmed, or administered by matriculated doctoral students in good academic standing at the CUNY Graduate Center. Winning proposals from the 2012-2013 competition may be foundhere.
Proposals must include the following sections:
- Proposer information: name and full contact information of the project lead, who must be a doctoral student at the GC in good academic standing;
- Abstract: a one-paragraph abstract summarizing the innovative contributions of the project;
- List of Participants: a list of participants involved in the project (include title/affiliation for each participant)
- Narrative: a short (1-2 page) description of the nature and goals of the project and the work that has already been completed (if any);
- Work plan: a brief roadmap of planned activities;
- Budget Justification: an explanation of how and why funds will be spent on particular activities, services, or purchases (funds can be used for any aspect of the project but must be justified in this section);
- Faculty letter of support: a short letter of support from a GC faculty member;
- Appendices: Short CVs of major project participants and any ancillary material.
Parts 1-6 of the proposal should not exceed 10 pages.
Proposals will be evaluated according to the following criteria:
- Excellence and innovation of the project;
- Contribution of the project to the development and promotion of the mission of the CUNY Graduate Center;
- Contribution of the project to the larger scholarly community and to the public;
- Experience of the project staff;
- Likelihood that work can be accomplished within the proposed budget and time period.
If not already started, projects should begin no later than one month after receipt of notification of acceptance and should conclude by March 15, 2014. Grantees will be expected to report on their work through the Graduate Center Digital Initiatives website no later than March 30, 2014. They will also be expected to present publicly on their work in progress during the 2013-2014 academic year and to take part in collaborative discussions with current and past grantees.