I have been promoted to Full Professor of Computer Science
I was invited to give a keynote talk on entity search at the 10th Russian Summer School in Information Retrieval (RuSSIR ’16). Below are the slides of my presentation.
Note: part of the work is still under review; those slides will be added later.
The premise of entity retrieval is to better answer search queries by returning specific entities instead of documents. Many queries mention particular entities; recognizing and linking them to the corresponding entry in a knowledge base is known as the task of entity linking in queries. In this paper we make a first attempt at bringing together these two, i.e., leveraging entity annotations of queries in the entity retrieval model. We introduce a new probabilistic component and show how it can be applied on top of any term-based entity retrieval model that can be emulated in the Markov Random Field framework, including language models, sequential dependence models, as well as their fielded variations. Using a standard entity retrieval test collection, we show that our extension brings consistent improvements over all baseline methods, includ- ing the current state-of-the-art. We further show that our extension is robust against parameter settings.
Update (16/09): Our paper received the Best Paper Honorable Mention Award at the conference. So it is definitely worth checking out ;)
The continuing goal of the Exploiting Semantic Annotations in Information Retrieval (ESAIR) workshop series is to create a forum for researchers interested in the application of semantic annotations for information access tasks. ESAIR’16 sets its focus on personal mobile applications and will be held in conjunction with CIKM’16 at Indianapolis, USA in October.
- Position paper submission (2+1 pages): Aug 1, 2016
- Demo submission (4+ pages): Aug 8, 2016
- Acceptance notification: 22 August, 2016
- Camera-ready version: 1 September, 2016
I am looking for a PhD student (again) to work on task-completion.
The ideal candidate would have a background in human-computer interaction, library and information science, or interactive information retrieval.
Details and application instructions can be found here.
Application deadline: June 20, 2016.