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21 articles for “Parsing”
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Research ArticleOpen accessEvery word in the titleEnhanced RoBERTa Model for OCR-Based EHR Parsing and Information ExtractionBalaji Ganesh Rajagopal, Amarnath C, Chidambaram Sawri Rajan, Deebalakshmi RamalingamHealthy source data for medical research and health analytics in general can be obtained from Electronic Health Records (EHRs). Nevertheless, due to the complexities of the design and especially the unstructured nature of them, it is not easy to extract important information from digital documents. This paper proposes a fundamentally new approach to the problem of interpreting EHRs obtained by … …Journal of Computer Science, Vol. 22, Issue 4 · 5 May 2026 · 1,581 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleA Context-Free Grammar for Parsing Manipuri LanguageYumnam Nirmal, Utpal SharmaParsing, i.e., identifying the underlying hierarchical structure of natural language expressions is important for several natural language processing applications. In recent times Machine Learning (ML) approaches have been developed for this study for many languages. Most of the effective techniques require an annotated corpus of the language for training and validation. For the Manipuri language of the Tibeto-Burman family, neither … …Journal of Computer Science, Vol. 17, Issue 9 · 9 Oct 2021 · 6,420 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleParsing Arabic Texts Using Rhetorical Structure TheoryH. I. Mathkour, A. A. Touir, W. A. Al-SaneaProblem Statement: Processing texts based on rhetorical structure theory has shown interesting results. Rhetorical Structure Theory (RST) improves the ability of extracting the semantic behind the processed text. Different applications such as information retrieval, text summarization, and text generation have proved to give better result using RST. The applicability of RST to process and understand texts has been studied in … …Journal of Computer Science, Vol. 4, Issue 9 · 30 Sep 2008 · 7,389 accessesView PDFCite
Research ArticleOpen accessIn the keywordsRule Based Shallow Parser for Arabic LanguageMona Ali Mohammed, Nazlia OmarProblem statement: One of language processing approaches that compute a basic analysis of sentence structure rather than attempting full syntactic analysis is shallow syntactic parsing. It is an analysis of a sentence which identifies the constituents (noun groups, verb groups, prepositional groups), but does not specify their internal structure, nor their role in the main sentence. The only technique used … …Journal of Computer Science, Vol. 7, Issue 10 · 4 Aug 2011 · 7,183 accessesView PDFCite
Research ArticleOpen accessIn the keywordsPacked Forest Chart ParserQi Haoliang, Li Sheng, Yang Muyun, Zhao TiejunPacked forest chart parser, like the traditional chart parsing algorithm, uses charts to store all the information produced while parsing to avoid redundant works. Its advantage over the traditional chart parser was the packed forest representation. The algorithm not only shares the non-terminal categories as what was done in the shared parse forest, but also shares the leftmost common elements. … …Journal of Computer Science, Vol. 3, Issue 1 · 31 Jan 2007 · 6,556 accessesView PDFCite
Research ArticleOpen accessIn the keywordsSmart Talent Sourcing Through Advanced Skill Profiling TechniqueAmey Krishnanath Shet Tilve, Gaurang Sitaram Patkar, Vadiraj Gururaj Inamdar et al.The hiring process often struggles with aligning job seekers' skills to employers' requirements, leading to inefficiencies and mismatches. To address this challenge, a dual-functionality system is proposed that leverages Natural Language Processing (NLP) techniques, including BERT for embedding textual information and cosine similarity to rank resumes according to their alignment with job descriptions and to recommend suitable candidates to employers … …Journal of Computer Science, Vol. 21, Issue 2 · 18 Jan 2025 · 4,967 accessesView PDFCite
Research ArticleOpen accessIn the keywordsTree Rotations for Dependency Trees: Converting the Head-Directionality of Noun PhrasesIka Alfina, Indra Budi, Heru SuhartantoTo overcome the lack of NLP resources for the low-resource languages, we can utilize tools that are already available for other highresource languages and then modify the output to conform to the target language. In this study, we proposed an approach to convert an Indonesian constituency treebank to a dependency treebank by utilizing an English NLP tool (Stanford CoreNLP) to … …Journal of Computer Science, Vol. 16, Issue 11 · 17 Nov 2020 · 7,796 accessesView PDFCite
Research ArticleOpen accessIn the keywordsCTSS: A Tool for Efficient Information Extraction with Soft Matching Rules for Text MiningA. Christy, P. ThambiduraiThe abundance of information available digitally in modern world had made a demand for structured information. The problem of text mining which dealt with discovering useful information from unstructured text had attracted the attention of researchers. The role of Information Extraction (IE) software was to identify relevant information from texts, extracting information from a variety of sources and aggregating it … …Journal of Computer Science, Vol. 4, Issue 5 · 31 May 2008 · 6,892 accessesView PDFCite
Research ArticleOpen accessIn the abstractIntelligent Software Testing for Test Case Analysis Framework Using ChatGPT with Natural Language Processing and Deep Learning IntegrationAlaa Najmi, Mohamed El-DosukyEffective testing scenarios are necessary to guarantee the dependability and Caliber of software. Conventional techniques for creating these scenarios frequently involve a great deal of manual labor and might not fully cover all software requirements. In order to improve the automation and Caliber of software testing scenario development, this study investigates the combination of Natural Language Processing (NLP) and Deep … …Journal of Computer Science, Vol. 21, Issue 5 · 1 May 2025 · 97,719 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Comprehensive Survey on Fake News Detection Using Machine LearningShraddha Shah, Sachin PatelIn the age of information data surplus and social media impact, the propagation of fake news has developed a significant societal concern. This challenge requires robust tools and methodologies for addressing, with machine learning emerging as a promising approach. The paper reviews different machine learning techniques in fake news detection, including supervised, unsupervised and semi-supervised methods. Supervised methods utilize labelled … …Journal of Computer Science, Vol. 21, Issue 4 · 20 Mar 2025 · 9,212 accessesView PDFCite