In this week, Wed Jan 21th, Ramtin will present on how to get things done: running jobs, the different systems we have access, lab wiki, etc.
The meeting will be held in TASC1 9408 at 1:30pm.
Here is the link to his slides : Slides
For the lab meeting this week, 14th of Jan, Jasneet is going to give a talk about his recent work on visualizing topics in conversations over period of time. The lab meeting will be held in TASC1 9408 at 1:30pm for one hour.
In this week, Wed Jab 7th, Anoop will present the recent work of Max Whitney, Andrei Vacariu and Jasneet Sabharwal on the lensing wikipedia project, which has been pushed to the live site: Lensing Wikipedia.
In this week, Wed Dec 12th, Natlang will have a joint discussion with BC Cancer Agency. Researchers form BC Cancer Agency will present some of their IR and clustering work on PubMed and then Naltang researchers will talk about some of their approaches that combine NLP, domain adaptation and visualization.
In the lab meeting this week, on Wed Dec 3ed, we will be hosting Stefan Riezler from Heidelberg University. He is going to give a talk about Response-Based Online Structured Prediction (with Applications to Grounded Statistical Machine Translation). The meeting will be at TASC1 9204 West 10:30am.
In response-based structured prediction, instead of a gold-standard structure, the learner is given a response to a predicted structure. Different types of environments such as an extrinsic task, a computer program, or a human, can respond in form of a ranking, an acceptance/rejection decision, or an improvement of the predicted structures. In this talk, we present three instantiations of response-based learning scenarios for grounded statistical machine translation (SMT), where response signals are elicited by embedding SMT into cross-lingual information retrieval, into multilingual database access, and into human corrections of translations.
Prof. Stefan Riezler has been appointed full professor and head of the chair of Linguistic Informatics at Heidelberg University in 2010, after spending a decade in the world’s most renowned industry research labs (Xerox PARC, Google). He received his PhD in Computational Linguistics from the University of Tübingen in 1998, and then conducted post-doctoral work at Brown University in 1999. Prof. Riezler’s research focus is on machine learning and statistics applied to natural language processing problems, especially for the application areas of natural-language based web search and statistical machine translation.