Results 111 to 120 of about 328,579 (213)

Joint Entity Recognition and Disambiguation [PDF]

Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015
Gang Luo, Xiaojiang Huang, Chin-Yew Lin, Zaiqing Nie   +3 more
openaire   +1 more source

Sentiment Analysis of Imbalanced Dataset Through Data Augmentation and Generative Annotation Using DistilBERT and Low‐Rank Fine‐Tuning

Applied AI Letters, Volume 7, Issue 3, October 2026.
The proposed model takes an imbalanced English dataset as input and balances it by Generating Synthetic Tweets (GST) using GPT‐based paraphrasing. These new tweets are then annotated with one of 10 categorical labels representing their primary meaning, using another large language model like GPT.
Hossein Nekouei, Mohammad Hossein Moattar   +1 more
wiley   +1 more source

From SAM 1 to SAM 3: Benchmarking Zero‐Shot Cross‐Domain Medical Image Segmentation

Expert Systems, Volume 43, Issue 10, October 2026.
ABSTRACT Segmentation models have demonstrated significant potential in medical image segmentation. However, there is currently a lack of systematic, cross‐generation comparative evaluations to assess whether the iterations from SAM1 to SAM 3 can effectively enhance the clinical applicability of zero‐shot segmentation. To address this issue, this paper
Shujun Lv, Bo Fang, Yongfei Wu, Kun Li, Qiankun Li, Junxin Chen   +5 more
wiley   +1 more source

Entity Linking and Disambiguation Using a Dialogue [PDF]

Propojování jmenných entit je úloha, ve které se snažíme propojit entity zmíněné v textu s jejich reprezentací ve znalostních databázích jako Wikipedia nebo Freebase.
Ta Van Duy
core  

Entity Disambiguation for Knowledge Base Population

, 2010
Proceedings of the 23rd International Conference on Computational LinguisticsThe integration of facts derived from information extraction systems into existing knowledge bases requires a system to disambiguate entity mentions in the text.
Finin, Tim, Dredze, Mark, Gerber, Adam, McNamee, Paul, Rao, Delip   +4 more
core   +1 more source

A Graph-based Approach for Persian Entity Linking

International Journal of Information and Communication Technology Research, 2020
Most of the data on the web is in the form of natural language, but natural language is highly ambiguous, especially when it comes to the frequent occurrence of entities.
Majid Asgari-Bidhendi, Farzane Fakhrian, Behrouz Minaei-Bidgoli   +2 more
doaj  

Extractive Medical Entity Disambiguation with Memory Mechanism and Memorized Entity Information [PDF]

Medical entity disambiguation (MED) aims to ground medical mentions in text with ontological entities in knowledge bases (KBs). A notable challenge of MED is the long medical text usually contains multiple entities' mentions with intricate correlations ...
Qin, L, Zhang, G, Si, J, Long, G, Shen, T, Lu, W, Peng, X   +6 more
core  

Also By The Same Author: AKTiveAuthor, a Citation Graph Approach to Name Disambiguation

, 2006
The desire for definitive data and the semantic web drive for inference over heterogeneous data sources requires co-reference resolution to be performed on those data.
McRae-Spencer, Duncan, Nigel R. Shadbolt, Shadbolt, Nigel, Duncan M. Mcrae-spencer   +3 more
core  

Entity Linking meets Word Sense Disambiguation: a Unified Approach

Transactions of the Association for Computational Linguistics, 2021
Andrea Moro, Alessandro Raganato, Roberto Navigli   +2 more
doaj   +1 more source

URI Disambiguation in the Context of Linked Data

, 2008
The Linked Data initiative has given rise to an increasing number of RDF datasets, many of which are freely accessible online. These resources often arise as a result of database exports; however sufficient consideration may not be given to the unseen ...
Jaffri, Afraz, Millard, Ian, Glaser, Hugh   +2 more
core   +1 more source