Semantic and Network Structures of Wikipedia across Language, Culture, and Time
Event details
| Date | 24.06.2022 |
| Hour | 15:00 › 17:00 |
| Speaker | Bhargav Srinivasa Desikan |
| Location | |
| Category | Conferences - Seminars |
EDIC candidacy exam
Exam president: Prof. Antoine Bosselut
Thesis advisor: Prof. Robert West
Co-examiner: Prof. Jérôme Baudry
Abstract
ikipedia is the worlds largest online encyclopedia
and is used by billions of people a year. Studying its patterns of
access and editing can inform us with novel insights into human
knowledge seeking behaviour and online knowledge construction,
and the supply and demand of online knowledge repositories.
As an online encyclopedia, Wikipedia is often characterised by
its network structure, as well as its semantic content. Further
understanding this network and semantic structure, as well as its
relationship to knowledge gaps and collective knowledge seeking
behaviour can help make Wikipedia a better tool for its many
users. As different cultures and languages use Wikipedia differently,
at different times and events, I aim to structure my research
across these dimensions. In this report, I detail approaches
to study network and semantic structure using measurements
constructed using neural network inspired embeddings, as well
as measurements based on network structure and Wikipedia
usage. I review three research articles, each relating to either of
culture, language, temporal analysis, and
Background papers
1) Kozlowski, Austin C., Matt Taddy, and James A. Evans. "The geometry of culture: Analyzing the meanings of class through word embeddings." American Sociological Review 84.5 (2019): 905-949.
2) Hamilton, William L., Jure Leskovec, and Dan Jurafsky. "Diachronic Word Embeddings Reveal Statistical Laws of Semantic Change." Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 2016.
3) Laufer, Paul, Claudia Wagner, Fabian Flöck, and Markus Strohmaier. "Mining cross-cultural relations from Wikipedia: a study of 31 European food cultures." In Proceedings of the ACM Web Science Conference, pp. 1-10. 2015.
Exam president: Prof. Antoine Bosselut
Thesis advisor: Prof. Robert West
Co-examiner: Prof. Jérôme Baudry
Abstract
ikipedia is the worlds largest online encyclopedia
and is used by billions of people a year. Studying its patterns of
access and editing can inform us with novel insights into human
knowledge seeking behaviour and online knowledge construction,
and the supply and demand of online knowledge repositories.
As an online encyclopedia, Wikipedia is often characterised by
its network structure, as well as its semantic content. Further
understanding this network and semantic structure, as well as its
relationship to knowledge gaps and collective knowledge seeking
behaviour can help make Wikipedia a better tool for its many
users. As different cultures and languages use Wikipedia differently,
at different times and events, I aim to structure my research
across these dimensions. In this report, I detail approaches
to study network and semantic structure using measurements
constructed using neural network inspired embeddings, as well
as measurements based on network structure and Wikipedia
usage. I review three research articles, each relating to either of
culture, language, temporal analysis, and
Background papers
1) Kozlowski, Austin C., Matt Taddy, and James A. Evans. "The geometry of culture: Analyzing the meanings of class through word embeddings." American Sociological Review 84.5 (2019): 905-949.
2) Hamilton, William L., Jure Leskovec, and Dan Jurafsky. "Diachronic Word Embeddings Reveal Statistical Laws of Semantic Change." Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 2016.
3) Laufer, Paul, Claudia Wagner, Fabian Flöck, and Markus Strohmaier. "Mining cross-cultural relations from Wikipedia: a study of 31 European food cultures." In Proceedings of the ACM Web Science Conference, pp. 1-10. 2015.
Practical information
- General public
- Free