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UID:6a0cb1c6356c6
DTSTART;TZID=America/Toronto:20240216T110000
SEQUENCE:0
TRANSP:TRANSPARENT
DTEND;TZID=America/Toronto:20240216T110000
URL:https://uwaterloo.ca/data-systems-group/events/mmath-thesis-presentatio
 n-cardinality-estimation-streaming
LOCATION:DC - William G. Davis Computer Research Centre 200 University Aven
 ue West DC 1304 Waterloo ON N2L 3G1 Canada
SUMMARY:MMath Thesis Presentation • Cardinality Estimation in Streaming\n
 Graph Data Management Systems
CLASS:PUBLIC
DESCRIPTION:KEREM AKILLIOGLU\, MMATH CANDIDATE\n_David R. Cheriton School o
 f Computer Science_
DTSTAMP:20260519T185358Z
END:VEVENT
BEGIN:VEVENT
UID:6a0cb1c636a80
DTSTART;TZID=America/Toronto:20190807T143000
SEQUENCE:0
TRANSP:TRANSPARENT
DTEND;TZID=America/Toronto:20190807T143000
URL:https://uwaterloo.ca/data-systems-group/events/mmath-research-paper-pre
 sentation-math-information-retrieval
LOCATION:DC - William G. Davis Computer Research Centre 200 University Aven
 ue West DC 3317 Waterloo ON N2L 3G1 Canada
SUMMARY:MMath Research Paper Presentation • Math Information Retrieval wi
 th\nWildcards in the Context of Pen-based Interfaces
CLASS:PUBLIC
DESCRIPTION:CAMILO MUNOZ\, MMATH CANDIDATE\n_David R. Cheriton School of Co
 mputer Science_\n\nThanks to the advance in mobile and touch screen device
 s\, handwritten\ninput has gained more popularity among users. When consid
 ering\nmathematical input\, however\, handwritten math interfaces have to 
 deal\nwith new problems and issues not found in natural language. A popula
 r\narea of interest that deals with math formulae recognition is math\ninf
 ormation retrieval (MIR). 
DTSTAMP:20260519T185358Z
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BEGIN:VEVENT
UID:6a0cb1c637813
DTSTART;TZID=America/Toronto:20190521T093000
SEQUENCE:0
TRANSP:TRANSPARENT
DTEND;TZID=America/Toronto:20190521T093000
URL:https://uwaterloo.ca/data-systems-group/events/mmath-thesis-presentatio
 n-entity-matching-and-disambiguation
LOCATION:DC - William G. Davis Computer Research Centre 200 University Aven
 ue West 2310 Waterloo ON N2L 3G1 Canada
SUMMARY:MMath Thesis Presentation • Entity Matching and Disambiguation\nA
 cross Multiple Knowledge Graphs
CLASS:PUBLIC
DESCRIPTION:MICHAEL FARAG\, MMATH CANDIDATE\nDavid R. Cheriton School of Co
 mputer Science\n\nKnowledge graphs are considered an important representat
 ion that lies\nbetween free text on one hand and fully-structured relation
 al data on\nthe other. Knowledge graphs are a backbone of many application
 s on the\nWeb. With the rise of many large-scale open-domain knowledge gra
 phs\nlike Freebase\, DBpedia\, and Yago\, various applications including\n
 document retrieval\, question answering\, and data integration have been\n
 relying on them.
DTSTAMP:20260519T185358Z
END:VEVENT
BEGIN:VEVENT
UID:6a0cb1c63819b
DTSTART;TZID=America/Toronto:20190410T090000
SEQUENCE:0
TRANSP:TRANSPARENT
DTEND;TZID=America/Toronto:20190410T090000
URL:https://uwaterloo.ca/data-systems-group/events/phd-defence-increasing-e
 fficiency-high-recall-information
LOCATION:DC - William G. Davis Computer Research Centre 200 University Aven
 ue West 2310 Waterloo ON N2L 3G1 Canada
SUMMARY:PhD Defence • Increasing the Efficiency of High-Recall Informatio
 n\nRetrieval
CLASS:PUBLIC
DESCRIPTION:HAOTIAN ZHANG\, PHD CANDIDATE\nDavid R. Cheriton School of Comp
 uter Science
DTSTAMP:20260519T185358Z
END:VEVENT
BEGIN:VEVENT
UID:6a0cb1c638af6
DTSTART;TZID=America/Toronto:20180516T130000
SEQUENCE:0
TRANSP:TRANSPARENT
DTEND;TZID=America/Toronto:20180516T130000
URL:https://uwaterloo.ca/data-systems-group/events/mmath-thesis-presentatio
 n-math-information-retrieval-using
LOCATION:DC - William G. Davis Computer Research Centre 200 University Aven
 ue West 2585 Waterloo ON N2L 3G1 Canada
SUMMARY:MMATH Thesis Presentation • Math Information Retrieval using a Te
 xt\nSearch Engine
CLASS:PUBLIC
DESCRIPTION:DALLAS FRASER\, MASTER’S CANDIDATE\n_David R. Cheriton School
  of Computer Science_\n\nCombining text and mathematics when searching in 
 a corpus with\nextensive mathematical notation remains an open problem. Re
 cent\nresults for math information retrieval systems on the math and text\
 nretrieval task at NTCIR-12\, for example\, show room for improvement\,\ne
 ven though formula retrieval appears to be fairly successful.
DTSTAMP:20260519T185358Z
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