Overview and challenges of machine translation for contextually appropriate translations

P Naveen, P Trojovský - Iscience, 2024 - cell.com
Machine translation facilitates cross-linguistic communication by converting text between
languages. However, producing contextually accurate translations remains a challenge …

Gazetteer enhanced named entity recognition for code-mixed web queries

B Fetahu, A Fang, O Rokhlenko… - Proceedings of the 44th …, 2021 - dl.acm.org
Named entity recognition (NER) for Web queries is very challenging. Queries often do not
consist of well-formed sentences, and contain very little context, with highly ambiguous …

Multimodal knowledge learning for named entity disambiguation

Z Dongjie, L Huang - Findings of the Association for …, 2022 - aclanthology.org
With the popularity of online social media, massive-scale multimodal information has
brought new challenges to traditional Named Entity Disambiguation (NED) tasks. Recently …

Analytics of similar-sounding names from the web with phonetic based clustering

SP Singh, CK Leung… - 2020 IEEE/WIC/ACM …, 2020 - ieeexplore.ieee.org
With advancements in modern technology in the current era, very large volumes of big data
have been generated and collected in numerous real-life applications. These have formed a …

Token Relation Aware Chinese Named Entity Recognition

Z Huang, W Rong, X Zhang, Y Ouyang, C Lin… - ACM Transactions on …, 2022 - dl.acm.org
Due to the lack of natural delimiters, most Chinese Named Entity Recognition (NER)
approaches are character-based and utilize an external lexicon to leverage the word-level …

How can wikipedia be used to support the process of automatically building multilingual domain modules? a case study.

A Conde, A Arruarte, M Larrañaga… - Information Processing & …, 2020 - Elsevier
The goal of the research here presented is to identify which aspects of Wikipedia can be
exploited to support the process of automatically building Multilingual Domain Modules from …

Bayesian networks for named entity prediction in programming community question answering

A Gorbatovski, S Kovalchuk - International Conference on Computational …, 2023 - Springer
Within this study, we propose a new approach for natural language processing using
Bayesian networks to predict and analyze the context and show how this approach can be …

OntoDynS: expediting personalization and diversification in semantic search by facilitating cognitive human interaction through ontology bagging and dynamic …

G Deepak, A Santhanavijayan - Journal of Ambient Intelligence and …, 2023 - Springer
To reduce the cognitive gap between human cognition and semantic search engines, there
is a need for the incorporation of crowdsourced Ontologies and closed-world reasoning for …

[PDF][PDF] UlyssesNERQ: Expanding Queries from Brazilian Portuguese Legislative Documents through Named Entity Recognition

H Albuquerque, E Souza, T Silva… - Proceedings of the …, 2024 - aclanthology.org
This study presents UlyssesNERQ, a system designed to improve Information Retrieval for
Brazilian Portuguese legislative documents. It uses Named Entity Recognition in Query …

Identifying the right person in social networks with double metaphone codes

JD Hamilton, CK Leung… - … IEEE Intl Conf on Parallel & …, 2020 - ieeexplore.ieee.org
With English being considered as a universal language of communication and interaction,
the study of the words that sound the same but spell differently has become an extensive …