Kerem Akillioglu, MMath candidate
David R. Cheriton School of Computer Science
Camilo Munoz, MMath candidate
David R. Cheriton School of Computer Science
Thanks to the advance in mobile and touch screen devices, handwritten input has gained more popularity among users. When considering mathematical input, however, handwritten math interfaces have to deal with new problems and issues not found in natural language. A popular area of interest that deals with math formulae recognition is math information retrieval (MIR).
Michael Farag, MMath candidate
David R. Cheriton School of Computer Science
Knowledge graphs are considered an important representation that lies between free text on one hand and fully-structured relational data on the other. Knowledge graphs are a backbone of many applications on the Web. With the rise of many large-scale open-domain knowledge graphs like Freebase, DBpedia, and Yago, various applications including document retrieval, question answering, and data integration have been relying on them.
Haotian Zhang, PhD candidate
David R. Cheriton School of Computer Science
Dallas Fraser, Master’s candidate
David R. Cheriton School of Computer Science
Combining text and mathematics when searching in a corpus with extensive mathematical notation remains an open problem. Recent results for math information retrieval systems on the math and text retrieval task at NTCIR-12, for example, show room for improvement, even though formula retrieval appears to be fairly successful.