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Impact of machine learning in natural language processing: A review
The recent times have seen unprecedented growth in research and development in the field
of Artificial Intelligence and its allied fields, subfields, like Machine Learning, Deep Learning …
of Artificial Intelligence and its allied fields, subfields, like Machine Learning, Deep Learning …
Accelerating evidence-informed decision-making for the Sustainable Development Goals using machine learning
J Porciello, M Ivanina, M Islam, S Einarson… - Nature Machine …, 2020 - nature.com
Abstract The United Nations Sustainable Development Goal 2 (SDG 2) is to achieve zero
hunger by 2030. We have designed Persephone, a machine learning model, to support a …
hunger by 2030. We have designed Persephone, a machine learning model, to support a …
Relation extraction in clinical text using NLP based regular expressions
G Veena, R Hemanth, J Hareesh - 2019 2nd International …, 2019 - ieeexplore.ieee.org
This paper is about relation extraction system for medical field related data. The major aim of
our work is to retrieve different medical related data and to find out the relation between …
our work is to retrieve different medical related data and to find out the relation between …
An ontology driven question answering system for legal documents
This paper presents an ontology-driven question-answering system for Motor Vehicle
Department (MVD). The MVD uses the motor vehicle act that regulates almost all the aspects …
Department (MVD). The MVD uses the motor vehicle act that regulates almost all the aspects …
[HTML][HTML] Coreference Resolution for Improving Performance Measures of Classification Tasks
K Šteflovič, J Kapusta - Applied Sciences, 2023 - mdpi.com
There are several possibilities to improve classification in natural language processing
tasks. In this article, we focused on the issue of coreference resolution that was applied to a …
tasks. In this article, we focused on the issue of coreference resolution that was applied to a …
Multi-attention-based capsule network for Uyghur personal pronouns resolution
Q Yang, L Yu, S Tian, J Song - IEEE Access, 2020 - ieeexplore.ieee.org
Anaphora resolution of Uyghur is a challenging task because of complex language structure
and limited corpus. We propose a multi-attention based capsule network model for Uyghur …
and limited corpus. We propose a multi-attention based capsule network model for Uyghur …
Application of natural language processing (NLP) in machine learning
In recent years, research and development in the domains of artificial intelligence and its
related sub-fields, such machine learning, deep learning, and natural language processing …
related sub-fields, such machine learning, deep learning, and natural language processing …
Coreference resolution for ambiguous pronoun with BERT and MLP
R Nair, VNV Prasad, A Sreenadh… - … on Advances in …, 2021 - ieeexplore.ieee.org
The process of identifying all the expressions in a text which refer to the same real-world
entity is known as coreference resolution. It is one of the main challenges that are faced in …
entity is known as coreference resolution. It is one of the main challenges that are faced in …
Contextual aware dynamic healthcare service composition based on semantic web ontology
S Subbulakshmi, A Krishnan… - 2019 2nd International …, 2019 - ieeexplore.ieee.org
Web service composition is a novel methodology to integrate diverse business solutions to
accomplish complex business logic. In this fast-paced digital era with diverse categories of …
accomplish complex business logic. In this fast-paced digital era with diverse categories of …
Coreference resolution in ambiguous pronouns using BERT and SVM
M Mohan, JJ Nair - 2019 9th International Symposium on …, 2019 - ieeexplore.ieee.org
Coreference resolution is the method of matching the expressions in a text to the
corresponding entity which it is referring. This is a major task in many Natural Language …
corresponding entity which it is referring. This is a major task in many Natural Language …