Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Bozorgi, Elika"'
Autor:
Bozorgi, Elika, Alqaiidi, Sakher Khalil, Shams, Afsaneh, Arabnia, Hamid Reza, Kochut, Krzysztof
Machine learning, deep learning, and NLP methods on knowledge graphs are present in different fields and have important roles in various domains from self-driving cars to friend recommendations on social media platforms. However, to apply these metho
Externí odkaz:
http://arxiv.org/abs/2406.07402
Autor:
Bozorgi, Elika, Soleimani, Saber, Alqaiidi, Sakher Khalil, Arabnia, Hamid Reza, Kochut, Krzysztof
Graph is an important data representation which occurs naturally in the real world applications \cite{goyal2018graph}. Therefore, analyzing graphs provides users with better insights in different areas such as anomaly detection \cite{ma2021comprehens
Externí odkaz:
http://arxiv.org/abs/2405.02240
Named Entity Recognition (NER) and Relation Classification (RC) are important steps in extracting information from unstructured text and formatting it into a machine-readable format. We present a survey of recent deep learning models that address nam
Externí odkaz:
http://arxiv.org/abs/2310.19055
The relation classification task assigns the proper semantic relation to a pair of subject and object entities; the task plays a crucial role in various text mining applications, such as knowledge graph construction and entities interaction discovery
Externí odkaz:
http://arxiv.org/abs/2309.13718
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.