Relevant bibliographies by topics / Uni (Artificial language)

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Uni (Artificial language)'

Author: Grafiati
Published: 4 June 2021
Last updated: 28 July 2025

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Journal articles on the topic "Uni (Artificial language)"

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Krüger, Ralph. "Implementing generative artificial intelligence technologies in language industry workflows – A competence perspective." Lebende Sprachen 70, no. 1 (2025): 11–38. https://doi.org/10.1515/les-2025-0016.

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Abstract This article is concerned with the following question: Which competences are required by stakeholders who are tasked with implementing current generative artificial intelligence (AI) technologies (primarily in the form of uni- and multimodal large language models) in language industry workflows? To set the scene, the article first discusses briefly the ongoing AI saturation of the language industry. It then proceeds to discuss the concept of artificial intelligence literacy and shows how this concept has been operationalised for language industry contexts via a domain-specific AI lite
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Chiang, Cheng-Han, and Hung-yi Lee. "On the Transferability of Pre-trained Language Models: A Study from Artificial Datasets." Proceedings of the AAAI Conference on Artificial Intelligence 36, no. 10 (2022): 10518–25. http://dx.doi.org/10.1609/aaai.v36i10.21295.

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Pre-training language models (LMs) on large-scale unlabeled text data makes the model much easier to achieve exceptional downstream performance than their counterparts directly trained on the downstream tasks. In this work, we study what specific traits in the pre-training data, other than the semantics, make a pre-trained LM superior to their counterparts trained from scratch on downstream tasks. We propose to use artificially constructed datasets as the pre-training data to exclude the effect of semantics, and further control what characteristics the pre-training corpora have. By fine-tuning
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ZENNAKI, O., N. SEMMAR, and L. BESACIER. "A neural approach for inducing multilingual resources and natural language processing tools for low-resource languages." Natural Language Engineering 25, no. 1 (2018): 43–67. http://dx.doi.org/10.1017/s1351324918000293.

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AbstractThis work focuses on the rapid development of linguistic annotation tools for low-resource languages (languages that have no labeled training data). We experiment with several cross-lingual annotation projection methods using recurrent neural networks (RNN) models. The distinctive feature of our approach is that our multilingual word representation requires only a parallel corpus between source and target languages. More precisely, our approach has the following characteristics: (a) it does not use word alignment information, (b) it does not assume any knowledge about target languages
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Thetbanthad, Parinya, Benjaporn Sathanarugsawait, and Prasong Praneetpolgrang. "Application of Generative Artificial Intelligence Models for Accurate Prescription Label Identification and Information Retrieval for the Elderly in Northern East of Thailand." Journal of Imaging 11, no. 1 (2025): 11. https://doi.org/10.3390/jimaging11010011.

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This study introduces a novel AI-driven approach to support elderly patients in Thailand with medication management, focusing on accurate drug label interpretation. Two model architectures were explored: a Two-Stage Optical Character Recognition (OCR) and Large Language Model (LLM) pipeline combining EasyOCR with Qwen2-72b-instruct and a Uni-Stage Visual Question Answering (VQA) model using Qwen2-72b-VL. Both models operated in a zero-shot capacity, utilizing Retrieval-Augmented Generation (RAG) with DrugBank references to ensure contextual relevance and accuracy. Performance was evaluated on
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Stokoe, Elizabeth. "“For the benefit of the tape”: Formulating embodied conduct in designedly uni-modal recorded police–suspect interrogations." Journal of Pragmatics 41, no. 10 (2009): 1887–904. http://dx.doi.org/10.1016/j.pragma.2008.09.015.

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Hanani, Abualsoud, and Rabee Naser. "Spoken Arabic dialect recognition using X-vectors." Natural Language Engineering 26, no. 6 (2020): 691–700. http://dx.doi.org/10.1017/s1351324920000091.

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AbstractThis paper describes our automatic dialect identification system for recognizing four major Arabic dialects, as well as Modern Standard Arabic. We adapted the X-vector framework, which was originally developed for speaker recognition, to the task of Arabic dialect identification (ADI). The training and development ADI VarDial 2018 and VarDial 2017 were used to train and test all of our ADI systems. In addition to the introduced X-vectors, other systems use the traditional i-vectors, bottleneck features, phonetic features, words transcriptions, and GMM-tokens. X-vectors achieved good pe
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Darwish, Kareem, Mohammed Attia, Hamdy Mubarak, et al. "Effective multi-dialectal arabic POS tagging." Natural Language Engineering 26, no. 6 (2020): 677–90. http://dx.doi.org/10.1017/s1351324920000078.

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AbstractThis work introduces robust multi-dialectal part of speech tagging trained on an annotated data set of Arabic tweets in four major dialect groups: Egyptian, Levantine, Gulf, and Maghrebi. We implement two different sequence tagging approaches. The first uses conditional random fields (CRFs), while the second combines word- and character-based representations in a deep neural network with stacked layers of convolutional and recurrent networks with a CRF output layer. We successfully exploit a variety of features that help generalize our models, such as Brown clusters and stem templates.
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TARDINI, Virginia, Giulia FRATONI, Alessia NORA, et al. "Acoustic design of an innovative classroom: the Piscopia Corner in Milan." INTER-NOISE and NOISE-CON Congress and Conference Proceedings 270, no. 4 (2024): 7456–65. http://dx.doi.org/10.3397/in_2024_3962.

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This paper reports on the measurements, design, and testing of a highly innovative classroom: the Piscopia Corner - Augmented Education Lab, built in the new MIND (Milano Innovation District) district in Milan, Italy. This educational space is designed to leverage connectivity, artificial intelligence, and sensing to enhance sustainability, inclusivity, and efficacy. As key use cases of the Piscopia Corner pivot on real-time speech transcription and translation of interactions, acoustics plays a key role. Improving classroom acoustic conditions is crucial for enhancing speech clarity, promotin
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Silverman, Greg M., Himanshu S. Sahoo, Nicholas E. Ingraham, et al. "NLP Methods for Extraction of Symptoms from Unstructured Data for Use in Prognostic COVID-19 Analytic Models." Journal of Artificial Intelligence Research 72 (October 14, 2021): 429–74. http://dx.doi.org/10.1613/jair.1.12631.

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Statistical modeling of outcomes based on a patient's presenting symptoms (symptomatology) can help deliver high quality care and allocate essential resources, which is especially important during the COVID-19 pandemic. Patient symptoms are typically found in unstructured notes, and thus not readily available for clinical decision making. In an attempt to fill this gap, this study compared two methods for symptom extraction from Emergency Department (ED) admission notes. Both methods utilized a lexicon derived by expanding The Center for Disease Control and Prevention's (CDC) Symptoms of Coron
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Darawangsa, Khafipa Indah. "Rancang Bangun Sistem Informasi Pustu Desa Pammesakang Kecamatan Bua Berbasis Website." Journal Artificial: Informatika dan Sistem Informasi 1, no. 2 (2023): 97–107. https://doi.org/10.54065/artificial.533.

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Kesehatan masyarakat pedesaan sering kali menghadapi tantangan dalam akses informasi dan pelayanan kesehatan yang efisien. Penelitian ini bertujuan untuk merancang dan mengembangkan sistem informasi Puskesmas Pembantu (PUSTU) di Desa Pammesakang, Kecamatan Bua, Sulawesi Selatan berbasis website untuk mengatasi permasalahan ini. Sistem ini diharapkan mampu meningkatkan efisiensi pengelolaan data serta penyebaran informasi terkait pelayanan posyandu. Penelitian ini menggunakan metode Research and Development (R&D) yang merujuk pada model Waterfall untuk proses pengembangan. Tahap-tahap melip
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Dissertations / Theses on the topic "Uni (Artificial language)"

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Naqvi, Saduf. "Emotional engineering of artificial representations of sign languages." Thesis, Goldsmiths College (University of London), 2009. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.514330.

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Ealey, Douglas. "Natural language acquisition in large scale neural semantic networks." Thesis, University of Southampton, 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.310843.

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Stephens, Robert Andrew. "Representation and knowledge acquisition : the problem of language." Thesis, University of the West of England, Bristol, 1996. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.321831.

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Lee, Andrew. "The formalisation of the internal structure of events in language texts." Thesis, London South Bank University, 1996. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.245063.

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Keflas, Petros. "Brave : an OR-parallel logic language and its application to search problems in artificial intelligence." Thesis, University of Essex, 1991. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.290744.

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Peacock, Matthew. "The motivation of adult EFL learners with authentic materials and artificial materials." Thesis, University of Essex, 1996. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.307861.

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Lewis, Rhodri. "John Wilkins's Essay (1668) and the context of seventeenth-century artifical languages in England." Thesis, University of Oxford, 2003. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.273256.

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Atkinson, Elizabeth A. M. "Artificial intelligence and the operation of merchant ships : aspects of natural language processing which relate to marine systems." Thesis, Cardiff University, 1990. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.369725.

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Gaudl, Swen. "Building robust real-time game AI : simplifying & automating integral process steps in multi-platform design." Thesis, University of Bath, 2016. https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.698997.

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Digital games are part of our culture and have gained significant attention over the last decade. The growing capabilities of home computers, gaming consoles and mobile phones allow current games to visualise 3D virtual worlds, photo-realistic characters and the inclusion of complex physical simulations. The growing computational power of those devices enables the usage of complex algorithms while visualising data. Therefore, opportunities arise for developers of interactive products such as digital games which introduce new, challenging and exciting elements to the next generation of highly i
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Jost, Céline. "ArCo : une Architecture informatique pour un Compagnon Artificiel en interaction avec un utilisateur." Phd thesis, Université de Bretagne Sud, 2013. http://tel.archives-ouvertes.fr/tel-00861311.

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La progression rapide de la technologie a donné lieu à un panorama riche et varié de dispositifs numériques : caméra, téléphones mobiles, GPS, tablettes tactiles, liseuses numériques, robots, télévisions, éléments de domotique... La majorité de ces appareils sont aujourd'hui connectés à Internet. Et en plus de leurs fonctionnalités principales, ils permettent à leur propriétaire de rester en contact avec " le monde " à l'aide de logiciels de communication, de personnages virtuels ou de robots. Tous ces dispositifs numériques fonctionnent indépendamment les uns des autres. La question qui se po
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Books on the topic "Uni (Artificial language)"

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Reimer, Ulrich. FRM: Ein Frame-Repräsentationsmodell und seine formale Semantik : zur Integration von Datenbank- und Wissensrepräsentationsansätzen. Springer-Verlag, 1989.

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Raile, Paolo. Kultur- und Sozialklingonologie: Ein ethnographischer Streifzug durch das Star-Trek-Universum. Waxmann, 2020.

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Junge, Hans Dieter. Dictionary of artificial intelligence and neuronal networks: English/German, German/English = Wörterbuch künstliche Intelligenz und neurale Netzwerke : Englisch/Deutsch, Deutsch/Englisch. VCH, 1991.

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Pribbenow, Simone. Räumliche Konzepte in Wissens- und Sprachverarbeitung: Hybride Verarbeitung von Lokalisierung. DUV, 1993.

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Die Bienen und das Unsichtbare. Suhrkamp, 2020.

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Künstliche und natürliche Sprache: Bemerkungen zur Semantik bei Tarski und Wittgenstein. G. Olms, 1992.

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Blanke, Detlev. Interlinguistische Beitrage: Zum Wesen Und Zur Funktion Internationaler Plansprachen Herausgegeben Von Sabine Fiedler. Peter Lang Publishing, 2006.

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Reimer, Ulrich. FRM: Ein Frame-Reprasentationsmodell und seine formale Semantik : Zur Integration von Datenbank- und Wissensreprasentationsansatzen (Informatik-Fachberichte). Springer-Verlag, 1989.

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Hesse, Stefan, and Erhard Taubert. Bildwörterbuch Handhabungstechnik, Robotik und Künstliche Intelligenz. Deutsch - Englisch / Englisch - Deutsch. Vieweg Verlagsgesellschaft, 2000.

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Fiddian, Robin. Giving Voice(s) to Argentina. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198794714.003.0002.

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Written in 1927, ‘The Language of the Argentines’ calls on members of Borges’s generation to participate in the creation of an authentic literary expression. The chapter analyses the essay and then focuses on a number of poems from Fervor de Buenos Aires (1923) and Luna de enfrente (1925) which realize aspects of that blueprint. The chapter charts the development of an ironic narrative voice which first appears in ‘Man on Pink Corner’ and crystallizes in ‘Pierre Menard, Author of the Quixote’. Drawing on the hypothesis of a debt to Paul Groussac’s Une énigme littéraire of 1903, put forward by
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Book chapters on the topic "Uni (Artificial language)"

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van Gelder, Tim. "Connectionism and Language Processing." In Konnektionismus in Artificial Intelligence und Kognitionsforschung. Springer Berlin Heidelberg, 1990. http://dx.doi.org/10.1007/978-3-642-76070-9_24.

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Dorffner, Georg. "A Radical View on Connectionist Language Modeling." In Konnektionismus in Artificial Intelligence und Kognitionsforschung. Springer Berlin Heidelberg, 1990. http://dx.doi.org/10.1007/978-3-642-76070-9_26.

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Sharkey, Noel E. "Connectionist Representations for Natural Language: Old and New." In Konnektionismus in Artificial Intelligence und Kognitionsforschung. Springer Berlin Heidelberg, 1990. http://dx.doi.org/10.1007/978-3-642-76070-9_1.

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Deffner, Renate, Klaus Eder, and Hans Geiger. "Word Recognition as a First Step Towards Natural Language Processing with Artificial Neural Networks." In Konnektionismus in Artificial Intelligence und Kognitionsforschung. Springer Berlin Heidelberg, 1990. http://dx.doi.org/10.1007/978-3-642-76070-9_27.

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Horacek, Helmut. "The Choice of Words in the Generation Process of a Natural Language Interface." In GWAI-86 und 2. Österreichische Artificial-Intelligence-Tagung. Springer Berlin Heidelberg, 1986. http://dx.doi.org/10.1007/978-3-642-71385-9_10.

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Breda, Pamela. "Unit 5 Additional Lecture: Blurred Lives—Cognition and Feelings in Human–AI Interactions." In Neuroaesthetics. Springer International Publishing, 2024. http://dx.doi.org/10.1007/978-3-031-42323-9_16.

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AbstractArtificial intelligence, also known as AI, is the ability of a program to think, store information, perform human tasks, and learn from experience. The domain of artificial intelligence has significantly evolved over the past decades, founding applications in almost every field of individual and collective lives. Computer systems able to perform tasks normally requiring human intelligence, such as visual perception, speech recognition, decision-making, and translation between languages, are now informing our daily routine. The constant improvement of this technology has recently taken
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Kumar, Sunil, Sandeep Kumar Vishwakarma, Abhishek Singh, Rohit Tanwar, and Digvijay Pandey. "Machine Translation of English to Hindi with the LSTM Seq2Seq Model Utilizing Attention Mechanism." In A Handbook of Computational Linguistics: Artificial Intelligence in Natural Language Processing. BENTHAM SCIENCE PUBLISHERS, 2024. http://dx.doi.org/10.2174/9789815238488124020012.

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Machine translation uses Natural Language Processing (NLP) to automatically translate text across languages. Business globalization and the internet have made it more popular. Machine translation may be handy for rapidly comprehending foreign language content, but it is not always precise or dependable, particularly for complicated or idiomatic languages. The research presents a neural machine translation approach based on the sequence-to-sequence (Seq2Seq) architecture using Uni-LSTM and Bi-LSTM with and without attention mechanisms for translating English sentences into Hindi sentences. We i
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Rigaud-Drayton, Margaret. "Conclusion." In Henri Michaux. Oxford University PressOxford, 2005. http://dx.doi.org/10.1093/oso/9780199277988.003.0008.

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Abstract Michaux began his literary career with a call for Esperanto, and closed it, in Par des traits (1984), with a reflection on his search for universally expressive visual signs. But he never made any serious contributions to the artificial language movement. The ‘Rudiments d’une langue universelle ideographique contenant neufcents idéogrammes et une grammaire’ which he announced in 1938, and the failure of which he recalled in Par des traits, was probably his only properly pasigraphic project. Unfinished and unpublished, it is a lost testimony to the limits of his interest in the grammat
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Skadiņa Inguna. "Multi-Word Expressions in English-Latvian SMT: Problems and Solutions." In Frontiers in Artificial Intelligence and Applications. IOS Press, 2016. https://doi.org/10.3233/978-1-61499-701-6-97.

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Processing of multi-word expressions (MWEs) is well known ‘pain in the neck’ of human language technology researchers. The problem of MWE treatment affects almost any natural language processing task, including different levels of text analysis and automated translation. It is extremely complicated task for machine translation (MT), as it includes identification, alignment and translation. Many on-line machine translation systems translate MWEs as phrases, not as one complex unit. In this paper several experiments are presented where possible ways how statistical MT system
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Nakayama Ken, Sakai Eko, and Kobayakawa Michihiro. "Interactive Characterization of A Code Pattern." In Frontiers in Artificial Intelligence and Applications. IOS Press, 2014. https://doi.org/10.3233/978-1-61499-434-3-1016.

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There are semantic chunks and relations (code patterns) of various granularities in source code. Since a code pattern is closely tied to a unit of understanding by a programmer, searching specific code pattern through unfamiliar source code would help understanding the code. Conventional string search tools, however, are not suitable for this purpose because, for instance, they do not assume the syntax of a programming language.
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Conference papers on the topic "Uni (Artificial language)"

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Jiri, Medlen, Bari Emese, and Patrick Medlen. "Leveraging Large Language Models for Python Unit Test." In 2024 IEEE International Conference on Artificial Intelligence Testing (AITest). IEEE, 2024. http://dx.doi.org/10.1109/aitest62860.2024.00020.

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He, Qingdong, Jinlong Peng, Zhengkai Jiang, et al. "UniM-OV3D: Uni-Modality Open-Vocabulary 3D Scene Understanding with Fine-Grained Feature Representation." In Thirty-Third International Joint Conference on Artificial Intelligence {IJCAI-24}. International Joint Conferences on Artificial Intelligence Organization, 2024. http://dx.doi.org/10.24963/ijcai.2024/90.

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3D open-vocabulary scene understanding aims to recognize arbitrary novel categories beyond the base label space. However, existing works not only fail to fully utilize all the available modal information in the 3D domain but also lack sufficient granularity in representing the features of each modality. In this paper, we propose a unified multimodal 3D open-vocabulary scene understanding network, namely UniM-OV3D, aligning point clouds with image, language and depth. To better integrate global and local features of the point clouds, we design a hierarchical point cloud feature extraction modul
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Jin, Tao, Siyu Huang, Ming Chen, Yingming Li, and Zhongfei Zhang. "SBAT: Video Captioning with Sparse Boundary-Aware Transformer." In Twenty-Ninth International Joint Conference on Artificial Intelligence and Seventeenth Pacific Rim International Conference on Artificial Intelligence {IJCAI-PRICAI-20}. International Joint Conferences on Artificial Intelligence Organization, 2020. http://dx.doi.org/10.24963/ijcai.2020/88.

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In this paper, we focus on the problem of applying the transformer structure to video captioning effectively. The vanilla transformer is proposed for uni-modal language generation task such as machine translation. However, video captioning is a multimodal learning problem, and the video features have much redundancy between different time steps. Based on these concerns, we propose a novel method called sparse boundary-aware transformer (SBAT) to reduce the redundancy in video representation. SBAT employs boundary-aware pooling operation for scores from multihead attention and selects diverse f
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Guerra, Rúbia Reis, Tamires Martins Rezende, Frederico Gadelha Guimarães, and Sílvia Grasiella Moreira Almeida. "Facial Expression Analysis in Brazilian Sign Language for Sign Recognition." In XV Encontro Nacional de Inteligência Artificial e Computacional. Sociedade Brasileira de Computação - SBC, 2018. http://dx.doi.org/10.5753/eniac.2018.4418.

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Sign language is one of the main forms of communication used by the deaf community. The language’s smallest unit, a “sign”, comprises a series of intricate manual and facial gestures. As opposed to speech recognition, sign language recognition (SLR) lags behind, presenting a multitude of open challenges because this language is visual-motor. This paper aims to explore two novel approaches in feature extraction of facial expressions in SLR, and to propose the use of Random Forest (RF) in Brazilian SLR as a scalable alternative to Support Vector Machines (SVM) and k-Nearest Neighbors (k-NN). Res
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Meléndez Gómez, Nelly, Jaime Gibertoni, Magally Briceño, and Rosina Lucente. "METODOLOGÍA DE EVALUACIÓN CUALITATIVA DE ENSAYOS EN EDUCACIÓN SUPERIOR UTILIZANDO INTELIGENCIA ARTIFICAL (IA): MODELOS LINGUISTICOS AVANZADOS (LLM)." In II Congreso de Creatividad e Innovación en Educación. Universidad Internacional de Ciencia y Tecnología, 2023. http://dx.doi.org/10.47300/978-9962-738-17-6-11.

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Esta investigación muestra el uso de varias metodologías LLM (Large Language Models) o modelos lingüísticos avanzados (MLA), para determinar su potencial utilidad en la evaluación de ensayos escritos por estudiantes. Los MLA son sistemas de redes neurales artificiales que son programadas con cientos de miles de parámetros para predecir la siguiente secuencia de caracteres, a partir de un texto usado como entrada en la línea de comandos del modelo. La metodología fue experimental, usando “Prompting Engineering”, que pudiera traducirse como: "Ingeniería de Estímulo" o "Ingeniería de Generación d
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Schwering, Christoph. "Limbo: A Reasoning System for Limited Belief." In Twenty-Sixth International Joint Conference on Artificial Intelligence. International Joint Conferences on Artificial Intelligence Organization, 2017. http://dx.doi.org/10.24963/ijcai.2017/779.

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We introduce Limbo, a reasoning system for limited belief. The system features a highly expressive language with first-order quantification, functions and equality, sorts, and introspective belief modalities. Reasoning is based on clause subsumption, unit propagation, and case splits. Decidability and sometimes even tractability is achieved by limiting the number of case splits. We illustrate the practical utility of limited belief with toy examples as well as with the games of Sudoku and Minesweeper.
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Magalhães, Manuel, Ângelo Morgado, Henrique Jesus, and Nuno Pombo. "Unlocking the Potential of Dynamic Languages: An Exploration of Automated Unit Test Generation Techniques." In 2023 IEEE International Conference On Artificial Intelligence Testing (AITest). IEEE, 2023. http://dx.doi.org/10.1109/aitest58265.2023.00027.

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Lan, Yunshi, Shuohang Wang, and Jing Jiang. "Knowledge Base Question Answering with Topic Units." In Twenty-Eighth International Joint Conference on Artificial Intelligence {IJCAI-19}. International Joint Conferences on Artificial Intelligence Organization, 2019. http://dx.doi.org/10.24963/ijcai.2019/701.

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Knowledge base question answering (KBQA) is an important task in natural language processing. Existing methods for KBQA usually start with entity linking, which considers mostly named entities found in a question as the starting points in the KB to search for answers to the question. However, relying only on entity linking to look for answer candidates may not be sufficient. In this paper, we propose to perform topic unit linking where topic units cover a wider range of units of a KB. We use a generation-and-scoring approach to gradually refine the set of topic units. Furthermore, we use reinf
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Dimovski, Mladen, Claudiu Musat, Vladimir Ilievski, Andreea Hossman, and Michael Baeriswyl. "Submodularity-Inspired Data Selection for Goal-Oriented Chatbot Training Based on Sentence Embeddings." In Twenty-Seventh International Joint Conference on Artificial Intelligence {IJCAI-18}. International Joint Conferences on Artificial Intelligence Organization, 2018. http://dx.doi.org/10.24963/ijcai.2018/559.

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Spoken language understanding (SLU) systems, such as goal-oriented chatbots or personal assistants, rely on an initial natural language understanding (NLU) module to determine the intent and to extract the relevant information from the user queries they take as input. SLU systems usually help users to solve problems in relatively narrow domains and require a large amount of in-domain training data. This leads to significant data availability issues that inhibit the development of successful systems. To alleviate this problem, we propose a technique of data selection in the low-data regime that
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Yetkin, Oguz, Karmina Calderon, Prissha Krishna Moorthy, et al. "A Lightweight Wearable American Sign Language Translation Device." In 2022 Design of Medical Devices Conference. American Society of Mechanical Engineers, 2022. http://dx.doi.org/10.1115/dmd2022-1053.

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Abstract A lightweight wearable American Sign Language translation device is presented consisting of optically communicating rings worn on each finger and wireless devices worn on each fingernail. The device is similar in principle to glove based sign language translation devices except it does not require the user to wear an entire glove. Each ring is constructed from optically clear resin containing three infrared transponders, controlled by a microcontroller unit worn on the wrist. The fingernail units are also cast in clear resin and contain circuitry to receive and respond to infrared lig
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Reports on the topic "Uni (Artificial language)"

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Kelly, Luke. Emerging Trends Within the Women, Peace and Security (WPS) Agenda. Institute of Development Studies (IDS), 2022. http://dx.doi.org/10.19088/k4d.2022.019.

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This report has identified emerging issues within the women, peace and security (WPS) agenda. Climate change has long been identified as a key cross-cutting issue and several potential avenues for WPS policy are identified. Other issues such as artificial intelligence (AI) have been highlighted as potentially relevant, but relatively little discussed with respect to WPS. The WPS agenda focuses on addressing the gendered impact of conflict and seeking to prevent conflict through increased women’s participation. In this report, WPS is understood as a body of UN Security Council resolutions (UNSC
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