Enhancing alignment with context similarity for natural language inference by Qianlong DU, Chengqing ZONG, Keh-Yih SU

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The Need for Accurate Alignment in Natural Language System Evaluation by Andrew Kehler, John Bear, Douglas Appelt

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Managing Fieldwork Data with Toolbox and the Natural Language Toolkit by Stuart Robinson, Greg Aumann, Steven Bird

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An Enactivist Account of Mind Reading in Natural Language Understanding by Peter Wallis

Subjects: “…natural language understanding…”
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Editorial: Bias, Subjectivity and Perspectives in Natural Language Processing by Valerio Basile, Tommaso Caselli, Alexandra Balahur, Lun-Wei Ku

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Optimasi Chatbot dengan Pemanfaatan Natural Language Processing by Salamun Salamun, Aldi Aprialdo, Sukri

Subjects: “…Chatbot, Natural Language Processing (NLP), Optimasi, Responsivitas…”
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A Pipeline for Story Visualization from Natural Language by Jezia Zakraoui, Moutaz Saleh, Somaya Al-Maadeed, Jihad Mohamad Alja’am

“…Generating automatic visualization from natural language texts is an important task for promoting language learning and literacy development for young children and language learners. …”
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State of Art for Semantic Analysis of Natural Language Processing by Dastan Hussen Maulud, Subhi R. M. Zeebaree, Karwan Jacksi, Mohammed A. Mohammed Sadeeq, Karzan Hussein Sharif

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The Potential of Natural Language Technology in Transforming Educational Processes by Adrian LUPASC

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Quantum Natural Language Processing: A Comprehensive Survey by Charles M. Varmantchaonala, Jean Louis K. E. Fendji, Julius Schoning, Marcellin Atemkeng

Subjects: “…Natural language processing (NLP)…”
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Forecasting Undergraduate Majors: A Natural Language Approach by David Lang, Alex Wang, Nathan Dalal, Andreas Paepcke, Mitchell L. Stevens

“…Using transcript data capturing the academic careers of 26,892 undergraduates enrolled at a private university between 2000 and 2020, we describe enrollment histories by using natural-language methods and vector embeddings to forecast terminal major on the basis of course sequences beginning at college entry. …”
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Predictability and Causality in Spanish and English Natural Language Generation by Andrea Busto-Castineira, Francisco Javier Gonzalez-Castano, Silvia Garcia-Mendez, Francisco de Arriba-Perez

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Applications of natural language processing in ophthalmology: present and future by Jimmy S. Chen, Jimmy S. Chen, Sally L. Baxter, Sally L. Baxter

Subjects: “…natural language processing…”
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Brains and algorithms partially converge in natural language processing by Charlotte Caucheteux, Jean-Rémi King

“…Overall, this study shows that modern language algorithms partially converge towards brain-like solutions, and thus delineates a promising path to unravel the foundations of natural language processing.…”
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Semantic Modeling and Analysis of Natural Language System Requirements by Konstantinos Mokos, Theodoros Nestoridis, Panagiotis Katsaros, Nick Bassiliades

“…They are a partial definition of the system under design in natural language that may be restricted in syntax terms. …”
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Applications of natural language processing tools in the surgical journey by Khang Duy Ricky Le, Khang Duy Ricky Le, Khang Duy Ricky Le, Khang Duy Ricky Le, Samuel Boon Ping Tay, Kay Tai Choy, Johan Verjans, Johan Verjans, Nicola Sasanelli, Nicola Sasanelli, Nicola Sasanelli, Joseph C. H. Kong, Joseph C. H. Kong, Joseph C. H. Kong, Joseph C. H. Kong

Subjects: “…natural language processing…”
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Natural language processing data services for healthcare providers by Joshua Au Yeung, Anthony Shek, Thomas Searle, Zeljko Kraljevic, Vlad Dinu, Mart Ratas, Mohammad Al-Agil, Aleksandra Foy, Barbara Rafferty, Vitaliy Oliynyk, James T. Teo

Subjects: “…Natural language processing…”
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Intelligent Performance Analysis with a Natural Language Interface by Juuso Esko K.

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Annotation of epilepsy clinic letters for natural language processing by Beata Fonferko-Shadrach, Huw Strafford, Carys Jones, Russell A. Khan, Sharon Brown, Jenny Edwards, Jonathan Hawken, Luke E. Shrimpton, Catharine P. White, Robert Powell, Inder M. S. Sawhney, William O. Pickrell, Arron S. Lacey

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Predicting natural language descriptions of mono-molecular odorants by E. Darío Gutiérrez, Amit Dhurandhar, Andreas Keller, Pablo Meyer, Guillermo A. Cecchi

“…It is now possible to predict what a chemical smells like based on its chemical structure, however to date, this has only been done for a small number of odor descriptors. Here, using natural-language semantic representations, the authors demonstrate prediction of a much wider range of descriptors.…”
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