Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Vahed Qazvinian"'
Publikováno v:
Natural Language Engineering. 23:93-130
This paper summarizes ongoing research in Natural-Language-Processing-driven citation analysis and describes experiments and motivating examples of how this work can be used to enhance traditional scientometrics analysis that is based on simply treat
Publikováno v:
Language Resources and Evaluation. 47:919-944
We introduce the ACL Anthology Network (AAN), a comprehensive manually curated networked database of citations, collaborations, and summaries in the field of Computational Linguistics. We also present a number of statistics about the network includin
Autor:
Vahed Qazvinian, Dragomir Radev
Publikováno v:
Proceedings of the AAAI Conference on Artificial Intelligence. 25:908-913
In this paper, we model the pair-wise similarities of a setof documents as a weighted network with a single cutoffparameter. Such a network can be thought of an ensemble of unweighted graphs, each consisting of edges withweights greater than the cuto
Publikováno v:
Journal of the American Society for Information Science and Technology. 60:2219-2228
Autor:
Vahed Qazvinian, Dragomir R. Radev
Publikováno v:
Proceedings of the International AAAI Conference on Web and Social Media. 3:296-299
In spite of enormous previous efforts to model the growth of various networks, there have only been a few works that successfully describe the evolution of latent networks. In a latent network edges do not represent interactions between nodes, but sh
Publikováno v:
Expert Systems. 25:221-236
Ontology matching is a process for selection of a good alignment across entities of two (or more) ontologies. This can be viewed as a two-phase process of (1) applying a similarity measure to find the correspondence of each pair of entities from two
Publikováno v:
Journal of Advanced Computational Intelligence and Intelligent Informatics. 11:803-816
Ontology Matching (OM) which targets finding a set of alignments across two ontologies, is a key enabler for the success of Semantic Web. In this paper, we introduce a new perspective on this problem. By interpreting ontologies as Typed Graphs embedd
Autor:
Vahed Qazvinian, Mohsen JafariAsbagh, Onur Varol, Alessandro Flammini, Emilio Ferrara, Filippo Menczer
The increasing pervasiveness of social media creates new opportunities to study human social behavior, while challenging our capability to analyze their massive data streams. One of the emerging tasks is to distinguish between different kinds of acti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9fae96fd924bd12d7327666cee7bf034
http://arxiv.org/abs/1310.2665
http://arxiv.org/abs/1310.2665
Autor:
Prateek Tandon, Vahed Qazvinian, Jichuan Chang, Parthasarathy Ranganathan, Ronald G. Dreslinski, Thomas F. Wenisch
Publikováno v:
International Symposium on Low Power Electronics and Design (ISLPED).
Autor:
Pradeep Muthukrishan, Vahed Qazvinian, Saif M. Mohammad, Ahmed Hassan, David Zajic, Dragomir R. Radev, Bonnie J. Dorr, Melissa Egan
Publikováno v:
HLT-NAACL
The number of research publications in various disciplines is growing exponentially. Researchers and scientists are increasingly finding themselves in the position of having to quickly understand large amounts of technical material. In this paper we