The Lemmas and Inflections of Old English L-Nouns by De Las Pueblas Yanguas Laura Martín, López Ana Elvira Ojanguren

“…The methodology relies on database software, used for gathering and classifying information, which is structured, standardised, and made available for searches and information retrieval. The data include 1,657 inflectional forms, 1,639 of which are lemmatised with this method. …”
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From Chance to Serendipity: Knowledge Workers’ Experiences of Serendipitous Social Encounters by Ekaterina Olshannikova, Thomas Olsson, Jukka Huhtamäki, Susanna Paasovaara, Hannu Kärkkäinen

“…The phenomenon has been studied extensively in relation to information retrieval. However, serendipity in the context of social encounters has been the subject of few empirical studies. …”
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Mathematical Model and Algorithm for Accurate Main Content Extraction From News Websites by Hamza Salem, Hadi Salloum, Manuel Mazzara

“…This work introduces a robust, open-source tool for the academic and commercial communities, fostering further innovation in web content extraction and information retrieval.…”
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A Novel Chinese Entity Relationship Extraction Method Based on the Bidirectional Maximum Entropy Markov Model by Chengyao Lv, Deng Pan, Yaxiong Li, Jianxin Li, Zong Wang

“…To identify relationships among entities in natural language texts, extraction of entity relationships technically provides a fundamental support for knowledge graph, intelligent information retrieval, and semantic analysis, promotes the construction of knowledge bases, and improves efficiency of searching and semantic analysis. …”
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Health information sharing – conceptual clarification and exploratory analysis in the context of mammography screening by Paula Stehr, Elena Link, Constanze Rossmann

“…Quantitative results showed that issue importance, opinion leadership and different types of information retrieval were related to information sharing. …”
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Needs Analysis of Puberty Reproductive Health Literacy for Blind Students by Ajeng Galuh Wuryandari, Ruwayda Ruwayda, Nurmisih Nurmisih, Julaecha Julaecha

“…School teachers, peers, and the use of online sites for information retrieval are the primary sources for providing reproductive health education to adolescent children. process encounters several challenges due to societal taboos and discomfort surrounding sensitive topics like sexuality. …”
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Semisupervised Learning-Based Word-Sense Disambiguation Using Word Embedding for Afaan Oromoo Language by Tabor Wegi Geleta, Jara Muda Haro

“…So far, this work aims to design and develop a vector space model for the Afaan Oromo language that can provide the application of word-sense disambiguation to increase the performance of information retrieval. In this work, the study has used the Afaan Oromo word embedding method to disambiguate a contextual meaning of words by applying the semisupervised technique. …”
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Parenting through Social Media: The Information Experience of Young Mothers in East Jakarta by Kholidah Nurul Labibah, Roro Isyawati Permata Ganggi

“…The information experience of young moms in East Jakarta is defined by their dissemination of acquired information, time management for information retrieval, and distinction between information necessitating upload and that which does not. …”
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A Movie Recommender System Based on Topic Modeling using Machine Learning Methods by Mojtaba Kordabadi, Amin Nazari, Muharram Mansoorizadeh

“…This research is motivated by the need to extract movie features using information retrieval methods in order to provide effective suggestions. …”
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Contextualization of Information Objects Towards Supporting Knowledge Management in Digital Workspaces by Mara Romanovska, Ilze Birzniece, Signe Balina

“…The research article discusses several implications of context-aware computing for organizational productivity: efficient information retrieval, improved knowledge management, support for remote and hybrid work models, reduced data loss, enhanced user activities, and business-level services. …”
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ChatGPT and oral cancer: a study on informational reliability by Mesude Çi̇ti̇r

“…Abstract Background Artificial intelligence (AI) and large language models (LLMs) like ChatGPT have transformed information retrieval, including in healthcare. ChatGPT, trained on diverse datasets, can provide medical advice but faces ethical and accuracy concerns. …”
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Query-Biased Preview over Outsourced and Encrypted Data by Ningduo Peng, Guangchun Luo, Ke Qin, Aiguo Chen

“…Based on private information retrieval protocol and the core concept of searchable encryption, we propose a single-server and two-round solution to securely obtain a query-biased snippet over the encrypted data from the server. …”
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Era of Generalist Conversational Artificial Intelligence to Support Public Health Communications by Emre Sezgin, Ahmet Baki Kocaballi

“…Specifically, we discuss the integration of large language models and generative AI in mainstream messaging platforms, which potentially outperform traditional information retrieval systems in public health contexts. …”
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From Information Overload to Lucidity: A Survey on Leveraging GPTs for Systematic Summarization of Medical and Biomedical Artifacts by Balamurugan Palanisamy, Arjab Chakrabarti, Anushka Singh, Vikas Hassija, G. S. S. Chalapathi, Amit Singh

“…This transformation will enhance patient care and outcomes, such as improving the accessibility and comprehensibility of medical research, assisting in rapid information retrieval, and facilitating the summarization of complex medical studies for broader audiences.…”
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Extent of Adoption and Use of Library Catalogue by Students of Bishop Barham University College in Kabale District. by Owembabazi, Daphine

“…The study also revealed that the respondents were facing constraints in using the library catalogues for information retrieval, these included; limited access to computers, unclear instructions on how to use the catalogue, time wastage when using the card catalogue and poor understanding of meaning of information on card catalogues amongst other catalogues. …”
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SynoExtractor: A Novel Pipeline for Arabic Synonym Extraction Using Word2Vec Word Embeddings by Rawan N. Al-Matham, Hend S. Al-Khalifa

“…Automatic synonym extraction plays an important role in many natural language processing systems, such as those involving information retrieval and question answering. Recently, research has focused on extracting semantic relations from word embeddings since they capture relatedness and similarity between words. …”
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Right Amygdalar and Temporofrontal Activation During Autobiographic, But Not During Fictitious Memory Retrieval by Hans J. Markowitsch, Alexander Thiel, Mechthild Reinkemeier, Josef Kessler, Adem Koyuncu, Wolf-Dieter Heiss

“…Consequently, our results point to the engagement of a bi-hemispheric network in which the right temporo-prefrontal hemisphere is likely to be responsible for the affective/arousal side of information retrieval and the left-hemispheric temporal gyrus for its engram-like representation. …”
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A CNN-Based Approach for Classical Music Recognition and Style Emotion Classification by Yawen Shi

“…Music recognition technology can help people recognize information such as the music title, artist, musical style, rhythm, and the emotions conveyed by the music in the audio, thus enabling applications like automated music information retrieval and recommendation systems. Classical music, due to its vast quantity, diverse types, and time span covering several centuries, presents challenges that existing music recognition software and traditional music recognition algorithms cannot effectively address. …”
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Predecting power transformer health index and life expectation based on digital twins and multitask LSTM-GRU model by Nora El-Rashidy, Yara A. Sultan, Zainab H. Ali

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Extending TextAE for annotation of non-contiguous entities by Jake Lever, Russ Altman, Jin-Dong Kim

“…Named entity recognition tools are used to identify mentions of biomedical entities in free text and are essential components of high-quality information retrieval and extraction systems. Without good entity recognition, methods will mislabel searched text and will miss important information or identify spurious text that will frustrate users. …”
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