8 results for “Named Entities”

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Research ArticleOpen accessIn the keywordsNamed Entity Recognition for Kannada using Gazetteers list with Conditional Random FieldsK. P. Pallavi, L. Sobha, M. M. RamyaNamed Entities (NEs) that exist in the sentences are essential to build Natural Language Processing (NLP) applications for Information Extraction (IE) from large corpora. However, generating a large corpus is challenging for resource poor languages, such as Kannada. Further, there is no annotated corpus available online. The challenges faced in annotating NEs with pre-defined classes are: It is morphologically joined … …Journal of Computer Science, Vol. 14, Issue 5 · 24 Feb 2018 · 8,275 accessesView PDF Cite

Research ArticleOpen accessIn the abstractGenMicro: A Tool for Generating Microservice Architectures with In-Depth Microservice DesignWilly Kengne Kungne, Georges-Edouard Kouamou, Paul AyangMicroService Architecture (MSA) has become an increasingly popular architectural style for distributed and service-based systems. Despite the various facilities offered by existing frameworks, setting up a microservice architecture remains challenging for developers. Also, configuring all the microservices is time-consuming. Several tools have been proposed for generating microservice architectures. For the most part, these tools focus on the basic configuration aspects, … …Journal of Computer Science, Vol. 21, Issue 3 · 25 Feb 2025 · 7,433 accessesView PDF Cite

Research ArticleOpen accessIn the abstractCustomized Named Entity Recognition Using Bert for the Social Learning Management System Platform CourseNetworkingKayal Padmanandam, KVN Sunitha, Behafarid Mohammad Jafari et al.Named Entity Recognition (NER) is an information extraction task and one of the most researched applications to extract knowledge from massive data. Conventional NER systems identify predefined entities like name, person, location, organization, time, etc. However, there is a limitation to identifying user-defined entities that are specific to an application. This challenge introduces the concept of customized NER. For instance, … …Journal of Computer Science, Vol. 20, Issue 1 · 15 Dec 2023 · 6,985 accessesView PDF Cite

Research ArticleOpen accessIn the abstractA Comparison between Conditional Random Field and Structured Support Vector Machine for Arabic Named Entity RecognitionMarwa Muhammad, Muhammad Rohaim, Alaa Hamouda, Salah Abdel-MageidThe Named Entity Recognition (NER) is an integrated task in many NLP applications such as machine translation, Information extraction and question answering. Arabic is one of the authorised spoken languages in the united nation. Currently, there is much Arabic information on the internet, so, nowadays the need for tools which process this information becomes significant. In this study, we have … …Journal of Computer Science, Vol. 16, Issue 1 · 30 Jan 2020 · 8,113 accessesView PDF Cite

Research ArticleOpen accessIn the abstractHistorical Relation Extraction from Buddhist Temple Documents of the Lanna KingdomPongkorn Chantaraj, Jaratsri Rungrattanaubol, Anamai Na-udomA substantial amount of valuable knowledge has been recorded, namely historical documents, in the form of unstructured data. The Extraction of such information will provide useful historical knowledge. The objective of this study, is to propose a relation extraction technique of unstructured data from Buddhist temple documents in the Lanna Kingdom, consisting of relationships including the name of the kings … …Journal of Computer Science, Vol. 15, Issue 9 · 26 Sep 2019 · 7,751 accessesView PDF Cite

Research ArticleOpen accessIn the abstractArabic Person Names Recognition by using a Rule Based ApproachMohammed Aboaoga, Mohd Juzaiddin Ab AzizName Entity Recognition is very important task in many natural language processing applications such as; Machine Translation, Question Answering, Information Extraction, Text Summarization, Semantic Applications and Word Sense Disambiguation. Rule-based approach is one of the techniques that are used for named entity recognition to identify the named entities such as a person names, location names and organization names. The recent … …Journal of Computer Science, Vol. 9, Issue 7 · 22 Jun 2013 · 7,482 accessesView PDF Cite

Research ArticleOpen accessIn the abstractArabic Named Entity Recognition Using Artificial Neural NetworkNaji F. Mohammed, Nazlia OmarProblem statement: Named Entity Recognition (NER) is a task to identify proper names as well as temporal and numeric expressions, in an open-domain text. The NER task can help to improve the performance of various Natural Language Processing (NLP) applications such as Information Extraction (IE), Information Retrieval (IR) and Question Answering (QA) tasks. This study discusses on the Named Entity … …Journal of Computer Science, Vol. 8, Issue 8 · 16 Jul 2012 · 8,676 accessesView PDF Cite

Research ArticleOpen accessIn the abstractSentence Annotation based Enhanced Semantic Summary Generation from Multiple DocumentsA. Kogilavani, P. BalasubramanieProblem statement: The goal of document summarization is to provide a summary or outline of manifold documents with reduction in time. Sentence extraction could be a technique that is employed to pick out relevant and vital sentences from documents and presented as a summary. So there is a need to develop more meaningful sentence selection strategy so as to extract … …American Journal of Applied Sciences, Vol. 9, Issue 7 · 17 May 2012 · 7,001 accessesView PDF Cite