Results 181 to 190 of about 20,627 (210)

Mention and Entity Description Co-Attention for Entity Disambiguation

Proceedings of the AAAI Conference on Artificial Intelligence, 2018
For the task of entity disambiguation, mention contexts and entity descriptions both contain various kinds of information content while only a subset of them are helpful for disambiguation. In this paper, we propose a type-aware co-attention model for entity disambiguation, which tries to identify the most discriminative words from ...
Feng Nie, Yunbo Cao, Jinpeng Wang, Chin-Yew Lin, Rong Pan   +4 more
openaire   +1 more source

Mining evidences for named entity disambiguation

Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining, 2013
Named entity disambiguation is the task of disambiguating named entity mentions in natural language text and link them to their corresponding entries in a knowledge base such as Wikipedia. Such disambiguation can help enhance readability and add semantics to plain text.
Yang Li, Chi Wang, Fangqiu Han, Jiawei Han, Dan Roth, Xifeng Yan   +5 more
openaire   +1 more source

SVM ensembles for named entity disambiguation

Computing, 2019
The enormous quantity of digital data necessitates automation, which among other things can help link unstructured to structured data. Such a task requires a systematic approach of mapping entity mentions (e.g., person, location) to corresponding entries in a Knowledge Base.
Amal Alokaili, Mohamed El Bachir Menai
openaire   +1 more source

Semantic Relatedness Approach for Named Entity Disambiguation

2010
Natural Language is a mean to express and discuss about concepts, objects, events, i.e., it carries semantic contents. One of the ultimate aims of Natural Language Processing techniques is to identify the meaning of the text, providing effective ways to make a proper linkage between textual references and their referents, that is, real world objects ...
Gentile, Anna Lisa, Zhang, Ziqi, Xia, Lei, Iria, José   +3 more
openaire   +2 more sources

Entity Disambiguation with Linkless Knowledge Bases

Proceedings of the 25th International Conference on World Wide Web, 2016
Named Entity Disambiguation is the task of disambiguating named entity mentions in natural language text and link them to their corresponding entries in a reference knowledge base (e.g. Wikipedia). Such disambiguation can help add semantics to plain text and distinguish homonymous entities.
Yang Li, Shulong Tan, Huan Sun, Jiawei Han, Dan Roth, Xifeng Yan   +5 more
openaire   +1 more source

Geographic Named Entity Recognition and Disambiguation in Mexican News using word embeddings

Expert Systems With Applications, 2021
Alejandro Molina-Villegas, Victor Muñiz-Sanchez   +1 more
exaly  

Entity Embedding Completion for Wide-Coverage Entity Disambiguation

Findings of the Association for Computational Linguistics: EMNLP 2022, 2022
Daisuke Oba, Ikuya Yamada, Naoki Yoshinaga, Masashi Toyoda   +3 more
openaire   +1 more source

A Survey of Named Entity Disambiguation in Entity Linking

2023 3rd International Conference on Intelligent Communications and Computing (ICC), 2023
Shuang Duan, Yan Guang, Wenjuan Bu, Ju Yang   +3 more
openaire   +1 more source

Context Aware Named Entity Disambiguation

2012 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology, 2012
Ivo Laek, Peter Vojtá
openaire   +1 more source

Towards zero-shot cross-lingual named entity disambiguation

Expert Systems With Applications, 2021
Ander Barrena
exaly