Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Catherine Chavula"'
Autor:
Johanne Trippas, David Maxwel, Abdulaziz Alqatan, Miriam Boom, Catherine Chavula, Anita Crescenzi, Luis-Daniel Ibáñez, Selina Meyer, Anna-Marie Ortloff, Srishti Palani, Dolinkumar Patel, Wiebke Thode, Zhaopeng Xing
Publikováno v:
ACM SIGIR Forum. 56:1-10
The First Early Career Researchers Roundtable for Information Access Research Workshop , in conjunction with the Seventh ACM Conference on Human Information Interaction and Retrieval (CHIIR) 2022, looked into the future of research, collaborations, a
Publikováno v:
Proceedings of the 2023 Conference on Human Information Interaction and Retrieval.
Publikováno v:
ACM SIGIR Conference on Human Information Interaction and Retrieval.
Autor:
Catherine Chavula, Hussein Suleman
Publikováno v:
ICTIR
Resource Scarce Languages (RSLs) lack sufficient resources to use Cross-Lingual Information Retrieval (CLIR) techniques and tools such as machine translation. Consequentially, searching using RSLs is frustrating and usually ends in unsuccessful strug
Autor:
Hussein Suleman, Catherine Chavula
Publikováno v:
CHIIR
Most of the Web is published in languages not accessible to many potential users who are only able to read and understand their local languages. Prior research has focused on using translation to provide users with information written in other langua
Autor:
Catherine Chavula, Hussein Suleman
Publikováno v:
SAICSIT
Unsupervised morphological segmentation is attractive for low density languages that have little linguistic description, such as many of the Bantu languages. However, techniques that cluster morphologically related words use string similarity metrics
Autor:
Hussein Suleman, Catherine Chavula
Publikováno v:
FIRE
Despite the availability of massive open information and efforts to promote multilingualism on the Web, content in Bantu languages remains negligible. Additionally, Information Retrieval (IR) systems, such as the Google search engine, use algorithms
Autor:
Catherine Chavula, C. Maria Keet
Publikováno v:
Communications in Computer and Information Science ISBN: 9783319241289
MTSR
MTSR
Ontologies provide knowledge representation formalism for expressing linguistic knowledge for computational tasks. However, natural language is complex and flexible, demanding fine-grained ontologies tailored to facilitate solving specific problems.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::88968a8c2e8003d07a70f6ba8433a39f
https://doi.org/10.1007/978-3-319-24129-6_1
https://doi.org/10.1007/978-3-319-24129-6_1