Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Hawre Hosseini"'
Publikováno v:
Language Resources and Evaluation. 56:917-941
Publikováno v:
International Journal of Digital Humanities.
A morphological analyzer, which is a significant component of many natural language processing applications especially for morphologically rich languages, divides an input word into all its composing morphemes and identifies their morphological roles
Publikováno v:
Applied Ontology. 14:451-477
Publikováno v:
Information Processing & Management. 59:102957
Publikováno v:
Communications in Computer and Information Science ISBN: 9783030524845
BIAS
BIAS
Performing observational studies based on social network content has recently gained attraction where the impact of various types of interruptions has been studied on users’ behavior. There has been recent work that have focused on how online socia
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::10ddb3f8de1263468ce1d0ed70caa255
https://doi.org/10.1007/978-3-030-52485-2_13
https://doi.org/10.1007/978-3-030-52485-2_13
Publikováno v:
Proceedings of the International AAAI Conference on Web and Social Media. 11:734-738
This study aims to estimate the influence of offline activity on users’ online behavior, relying on a matching method to reduce the effect of confounding variables. We analyze activities of 850 users who are active on both Twitter and Foursquare so
Autor:
Hawre Hosseini
Publikováno v:
SIGIR
Linking phrases to knowledge base entities is a process known as entity linking and has already been widely explored for various content types such as tweets. A major step in entity linking is to recognize and/or classify phrases that can be disambig
Autor:
Ebrahim Bagheri, Hawre Hosseini
Publikováno v:
Information Processing & Management. 58:102503
Linking textual content to entities from the knowledge graph has received increasing attention in the context of which surface form representations of entities, e.g., terms or phrases, are disambiguated and linked to appropriate entities. This allows
Publikováno v:
ICIP
In this work, we automatically distinguish the efficient high elbow pose from dropping one in pulling phase of front crawl stroke in front view amateurly recorded videos. This task is challenging due to the aquatic environment and missing depth infor
Publikováno v:
ASONAM
The systematic linking of explicitly-observed phrases within a document to entities of a knowledge base has already been explored in a process known as entity linking. The objective of this paper, however, is to identify and entity link those entitie