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Wednesday, February 26, 2014 11:00 am - 11:00 am EST (GMT -05:00)

Invited Talk: Modeling Term Associations for Probabilistic Information Retrieval

Modeling Term Associations for Probabilistic Information Retrieval

Abstract:

Traditionally, in many probabilistic retrieval models, query terms are assumed to be independent. Although such models can achieve reasonably good performance, associations can exist among terms from human being.s point of view. There are some recent studies that investigate how to model term associations/dependencies by proximity measures. However, the modeling of term associations theoretically under the probabilistic retrieval framework is still largely unexplored. In this talk, I will introduce a new concept named Cross Term, to model term proximity, with the aim of boosting retrieval performance. With Cross Terms, the association of multiple query terms can be modeled in the same way as a simple unigram term. In particular, an occurrence of a query term is assumed to have an impact on its neighboring text. The degree of the query term impact gradually weakens with increasing distance from the place of occurrence. We use shape functions to characterize such impacts. Based on this assumption, we first propose a bigram CRoss TErm Retrieval (CRTER2) model as the basis model, and then recursively propose a generalized n-gram CRoss TErm Retrieval (CRTERn) model for n query terms where n > 2.
Specifically, a bigram Cross Term occurs when the corresponding query terms appear close to each other, and its impact can be modeled by the intersection of the respective shape functions of the query terms. For n-gram Cross Term, we develop several distance metrics with different properties and employ them in the proposed models for ranking. We also show how to extend the language model using the newly proposed cross terms. Extensive experiments on a number of TREC collections demonstrate the effectiveness of our proposed models.

Biography:

Jimmy Huang is a Professor & Director at the School of Information Technology and the founding director of Information Retrieval & Knowledge Management Research Lab at the York University.
Wednesday, May 28, 2014 4:00 pm - 5:00 pm EDT (GMT -04:00)

UW CPAMI Graduate Seminar

Description:

You are invited to attend our next UW CPAMI Graduate Seminar, which will include two presentations.

Ridha Soua will speak on “Joint Time Slot and Channel Assignment for Data Convergecast in Multichannel Wireless Sensors Networks”.

Safaa Mahmoud A. Bedawi will speak on “Urban Land-Cover Classification from Very High Resolution Remote Sensing Imagery”.

Please see the attached seminar notices for more information.

Monday, September 29, 2014 4:00 pm - 5:00 pm EDT (GMT -04:00)

CPAMI Graduate Seminar Series

You are invited to attend our next UW CPAMI Graduate Seminar, which will include two presentations.

Kede Ma will speak on “Perceptual evaluation of multi-exposure image fusion algorithms”.

Sepideh Seifzadeh will speak on “High-level Information Fusion for Constrained SMC Methods and Applications”.

All are welcome to attend!

 *Refreshments will be provided

Wednesday, November 5, 2014 2:00 pm - 3:00 pm EST (GMT -05:00)

CPAMI Graduate Seminar Series

You are invited to attend our next UW CPAMI Graduate Seminar, which will include:

Dr. Rushdi Shams, Ph.D. Researcher, Computational Linguistics Lab, Western University.
He will speak on "Identification of Informativeness in Text using Natural Language Stylometry"

  All are welcome to attend!

 *Refreshments will be provided

Wednesday, November 19, 2014 4:00 pm - 5:00 pm EST (GMT -05:00)

CPAMI Graduate Seminar

You are invited to attend our next UW CPAMI Graduate Seminar, which will include two presentations.

Yun-Qian Miao will speak on “Discriminative Density Ratio for Classification Domain Adaptation”.

Samaneh Hosseini Semnani will speak on “Multi-Target Tracking in Large-Scale Surveillance Systems”.

University of Waterloo

Engineering 5

Room E5-5106

Refreshments will be provided

Please see seminar notices below for more information:

Thursday, December 11, 2014 4:00 pm - 5:00 pm EST (GMT -05:00)

CPAMI Graduate Seminar

You are invited to attend our next UW CPAMI Graduate Seminar, which will include:

Dr. Allaa Hilal will speak on The Future of the Connected Car -Intelligent Transportation Systems Powering Driver-Centric Technology.

University of Waterloo

Room EIT-3142,

Refreshments will be provided

All are welcome to attend!

Please see seminar notices below for more information:

Tuesday, January 6, 2015 1:30 pm - 2:30 pm EST (GMT -05:00)

CPAMI Graduate Seminar

You are invited to attend our next UW CPAMI Graduate Seminar, which will include:

Professor Takayoshi Yokota will speak on “An Approach to Vehicle Tracking Based on Particle Filter and Height Estimation Using Smart Phone Sensors”.

University of Waterloo

Centre for Environmental and Information Technology

Room EIT-3142

Refreshments will be provided