V
Vahed Qazvinian
Researcher at University of Michigan
Publications - 31
Citations - 2603
Vahed Qazvinian is an academic researcher from University of Michigan. The author has contributed to research in topics: Automatic summarization & Citation. The author has an hindex of 18, co-authored 31 publications receiving 2376 citations. Previous affiliations of Vahed Qazvinian include Sharif University of Technology & Microsoft.
Papers
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Proceedings Article
Rumor has it: Identifying Misinformation in Microblogs
TL;DR: This paper addresses the problem of rumor detection in microblogs and explores the effectiveness of 3 categories of features: content- based, network-based, and microblog-specific memes for correctly identifying rumors, and believes that its dataset is the first large-scale dataset on rumor detection.
Journal ArticleDOI
The ACL anthology network corpus
TL;DR: The ACL Anthology Network is introduced, a comprehensive manually curated networked database of citations, collaborations, and summaries in the field of Computational Linguistics and a number of statistics about the network including the most cited authors, the most central collaborators, as well as network statistics.
Proceedings ArticleDOI
Scientific Paper Summarization Using Citation Summary Networks
TL;DR: A model of summarizing a single article, which can be further used to summarize an entire topic, is proposed, based on analyzing others' viewpoint of the target article's contributions and the study of its citation summary network using a clustering approach.
Proceedings ArticleDOI
Using Citations to Generate surveys of Scientific Paradigms
Saif M. Mohammad,Bonnie J. Dorr,Melissa Egan,Ahmed Hassan,Pradeep Muthukrishan,Vahed Qazvinian,Dragomir R. Radev,David Zajic +7 more
TL;DR: This paper explores the combination of citation information and summarization techniques, and shows that in the framework of multi-document survey creation, citation texts can play a crucial role.
Proceedings ArticleDOI
The ACL Anthology Network corpus
TL;DR: The ACL Anthology Network is introduced, a manually curated networked database of citations, collaborations, and summaries in the field of Computational Linguistics and a number of statistics about the network are presented including the most cited authors, the most central collaborators, as well as network statistics.