Yang presents at NAACL-HLT computational linguistics conference
Computer Science Department doctoral student Beibei Yang presented a research paper co-authored with Prof. Jesse Heines, Domain-Specific Semantic Relatedness from Wikipedia: Can a Course be Transferred?, at the North American Chapter of the Association for Computational Linguistics - Human Language Technologies (NAACL-HLT) 2012 conference. The event was held June 3–8, 2012 in Montréal (Québec), Canada.
The conference covered a broad spectrum of disciplines working towards enabling intelligent systems to interact with humans using natural language, and towards enhancing human-human communication through services such as speech recognition, automatic translation, information retrieval, text summarization, and information extraction.
Yang and Heines analyzed the problem of transferring credits across undergraduate institutional. About 1/3 of all college students in the U.S. transfer between institutions. In their work, Yang and Heines proposed a Wikipedia-based domain-specific semantic relatedness measure that analyzes course descriptions to suggest whether a course can be transferred from one institution to another.
They showed that the proposed work received a high correlation of 0.85 when compared to human judgment on computer science courses. And it only took less than 1 minute to compare one pair of courses on a standard laptop system.
Their poster at the conference attracted many researchers from universities and organizations including CMU, Stanford, University of Edinburgh, Google, IBM research, and Nuance.
Yang also received a travel grant of $500 from the conference.
The conference covered a broad spectrum of disciplines working towards enabling intelligent systems to interact with humans using natural language, and towards enhancing human-human communication through services such as speech recognition, automatic translation, information retrieval, text summarization, and information extraction.
Yang and Heines analyzed the problem of transferring credits across undergraduate institutional. About 1/3 of all college students in the U.S. transfer between institutions. In their work, Yang and Heines proposed a Wikipedia-based domain-specific semantic relatedness measure that analyzes course descriptions to suggest whether a course can be transferred from one institution to another.
They showed that the proposed work received a high correlation of 0.85 when compared to human judgment on computer science courses. And it only took less than 1 minute to compare one pair of courses on a standard laptop system.
Their poster at the conference attracted many researchers from universities and organizations including CMU, Stanford, University of Edinburgh, Google, IBM research, and Nuance.
Yang also received a travel grant of $500 from the conference.
Ph.D. student Beibei Yang at the NAACL-HLT 2012 student research workshop. (Courtesy Andy Dufilie)
