Denghao Ma, Yueguo Chen, Kevin Chen-Chuan Chang,et al published a paper at www

April 23th-27th,2018

Denghao Ma was the first author to publish “Leveraging Fine-Grained Wikipedia Categories for Entity Search” at WWW,the top international conference in the web field.

Based on the observation of how people describe entities of a specific type, they propose a headword-and-modifier model to deeply interpret both queries and fine-grained entity types/categories. Probabilistic generative models are designed to effectively estimate the relevance of headwords and modifiers as a pattern-based matching problem, taking the Wikipedia type taxonomy as an important input to address the ad-hoc representations of concepts/entities in queries. Extensive experimental results on three widely-used test sets: INEX-XER 2009, SemSearch-LS and TREC-Entity, show that their method achieves a significant improvement of the entity search performance over the state-of-the-art methods.

The Web Conference (formerly www conference) is a yearly international conference on the topic of the future directions of the World Wide Web. The Conference aims to provide the world with a premier forum for discussion and debate about the evolution of the Web, the standardization of its associated technologies, and the impact of those technologies on society and culture. The conference brings together researchers, developers, users and commercial ventures — indeed all those who are passionate about the Web and what it has to offer.