Zobrazeno 1 - 10
of 22
pro vyhledávání: '"Jiaul H. Paik"'
Autor:
Sudeshna Das, Jiaul H. Paik
Publikováno v:
Journal of the Association for Information Science and Technology. 74:461-475
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::816d5949e95ae8b041e9155b561b6309
https://doi.org/10.1002/asi.24735
https://doi.org/10.1002/asi.24735
Publikováno v:
ACM Transactions on Information Systems. 40:1-24
Existing probabilistic retrieval models do not restrict the domain of the random variables that they deal with. In this article, we show that the upper bound of the normalized term frequency ( tf ) from the relevant documents is much smaller than the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4a4ab6d938ca15fa8f6035e049f74b29
https://doi.org/10.1145/3476837
https://doi.org/10.1145/3476837
Publikováno v:
Journal of Informetrics. 17:101392
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::46d72eb0084ba65cd2aabb509a211c71
https://doi.org/10.1016/j.joi.2023.101392
https://doi.org/10.1016/j.joi.2023.101392
Autor:
Sudeshna Das, Jiaul H. Paik
Publikováno v:
Information Processing & Management. 58:102423
The gender information of named entities is an important prerequisite for many text analysis tasks such as gender bias detection and targeted advertising. Despite its valuable use cases, gender tagging of named entities has traditionally been databas
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::75cee35c56c14cc4fb490b83dd978e2e
https://doi.org/10.1016/j.ipm.2020.102423
https://doi.org/10.1016/j.ipm.2020.102423
Autor:
Jiaul H. Paik
Publikováno v:
ACM Transactions on Intelligent Systems and Technology. 7:1-21
This article proposes a term weighting scheme for measuring query-document similarity that attempts to explicitly model the dependency between separate occurrences of a term in a document. The assumption is that, if a term appears once in a document,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3b15088002ba4af85d873525e8845e60
https://doi.org/10.1145/2800794
https://doi.org/10.1145/2800794
Publikováno v:
ACM Transactions on Information Systems. 33:1-34
The multinomial language model has been one of the most effective models of retrieval for over a decade. However, the multinomial distribution does not model one important linguistic phenomenon relating to term-dependency, that is the tendency of a t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6e43e3b78561c193902625f2213f7665
https://doi.org/10.1145/2746231
https://doi.org/10.1145/2746231
Publikováno v:
ACM Transactions on Asian Language Information Processing. 13:1-22
Automatic query expansion (AQE) is a useful technique for enhancing the effectiveness of information retrieval systems. In this article, we propose a novel AQE algorithm which first adopts a systematic incremental approach to choose feedback document
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::37765dacf5b17399e641b4936fe1c8b2
https://doi.org/10.1145/2611521
https://doi.org/10.1145/2611521
Publikováno v:
ACM Transactions on Information Systems. 31:1-29
Stemming is a widely used technique in information retrieval systems to address the vocabulary mismatch problem arising out of morphological phenomena. The major shortcoming of the commonly used stemmers is that they accept the morphological variants
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::80a7f5f2df50d5f4c7064dcd2f9003dd
https://doi.org/10.1145/2536736.2536738
https://doi.org/10.1145/2536736.2536738
Autor:
Jimmy Lin, Jiaul H. Paik
Publikováno v:
ICTIR
"Evaluation as a service" (EaaS) refers to a family of related evaluation methodologies that enables community-wide evaluations and the construction of test collections on documents that cannot be easily distributed. In the API-based approach, the ba
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d4c0f31e909293386fc3ac96287c4884
https://doi.org/10.1145/2970398.2970427
https://doi.org/10.1145/2970398.2970427
Publikováno v:
ACM Transactions on Information Systems. 29:1-24
A novel graph-based language-independent stemming algorithm suitable for information retrieval is proposed in this article. The main features of the algorithm are retrieval effectiveness, generality, and computational efficiency. We test our approach
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a4760e9c126032ca2cfe6d7981cabe46
https://doi.org/10.1145/2037661.2037664
https://doi.org/10.1145/2037661.2037664