Relevant bibliographies by topics / Natural language descriptions

Contents

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

Academic literature on the topic 'Natural language descriptions'

Author: Grafiati
Published: 5 June 2025
Last updated: 2 August 2025

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Journal articles on the topic "Natural language descriptions"

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Hassani, Kaveh, and Won-Sook Lee. "Visualizing Natural Language Descriptions." ACM Computing Surveys 49, no. 1 (2016): 1–34. http://dx.doi.org/10.1145/2932710.

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Mariotti, Andre, and Ivandre Paraboni. "Generating Customizable Natural Language Descriptions." IEEE Latin America Transactions 17, no. 08 (2019): 1252–58. http://dx.doi.org/10.1109/tla.2019.8932333.

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Cao, Juan. "Generating Natural Language Descriptions From Tables." IEEE Access 8 (2020): 46206–16. http://dx.doi.org/10.1109/access.2020.2979115.

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Li, Hao, Yu-Ping Wang, Jie Yin, and Gang Tan. "SmartShell: Automated Shell Scripts Synthesis from Natural Language." International Journal of Software Engineering and Knowledge Engineering 29, no. 02 (2019): 197–220. http://dx.doi.org/10.1142/s0218194019500098.

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Modern shell scripts provide interfaces with rich functionality for system administration. However, it is not easy for end-users to write correct shell scripts; misusing commands may cause unpredictable results. In this paper, we present SmartShell, an automated function-based tool for shell script synthesis, which uses natural language descriptions as input. It can help the computer system to “understand” users’ intentions. SmartShell is based on two insights: (1) natural language descriptions for system objects (such as files and processes) and operations can be recognized by natural languag
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FRANK, STELLA, DESMOND ELLIOTT, and LUCIA SPECIA. "Assessing multilingual multimodal image description: Studies of native speaker preferences and translator choices." Natural Language Engineering 24, no. 3 (2018): 393–413. http://dx.doi.org/10.1017/s1351324918000074.

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AbstractTwo studies on multilingual multimodal image description provide empirical evidence towards two questions at the core of the task: (i) whether target language speakers prefer descriptions generated directly in their native language, as compared to descriptions translated from a different language; (ii) whether images improve human translation of descriptions. These results provide guidance for future work in multimodal natural language processing by first showing that on the whole, translations are not distinguished from native language descriptions, and second delineating and quantify
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Shlonsky, Ur, Michael Barlow, and Charles A. Ferguson. "Agreement in Natural Language: Approaches, Theories, Descriptions." Language 66, no. 4 (1990): 820. http://dx.doi.org/10.2307/414732.

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Giunchiglia, E., A. Armando, P. Traverso, and A. Cimatti. "Visual representation of natural language scene descriptions." IEEE Transactions on Systems, Man and Cybernetics, Part B (Cybernetics) 26, no. 4 (1996): 575–89. http://dx.doi.org/10.1109/3477.517032.

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Kreydlin, Grigory. "Paralanguage in Natural Language Texts." Russkaia rech, no. 1 (2023): 44–65. http://dx.doi.org/10.31857/s013161170024705-4.

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In oral communication natural language is always combined with nonverbal signs of various nature, in particular paralanguage signs. The present paper describes usages and functions of lexical paralanguage units in Russian texts, mainly texts of anecdotes, where these units serve as a key to comic effect. The article analyzes examples of nonverbal imitation of speech pathology and ethnic, social, professional and other peculiarities of human communicative behavior. The paper describes some functions of paralinguistic signs such as their ability to imitate specific acts of pronunciation, to subs
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Bauman, Tal, Tzuf Paz-Argaman, Itai Mondshine, Reut Tsarfaty, Itzhak Omer, and Sagi Dalyot. "Textual geolocation in Hebrew: mapping challenges via natural place description analysis." Journal of Spatial Information Science, no. 28 (June 27, 2024): 103–27. http://dx.doi.org/10.5311/josis.2024.28.323.

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Describing where a place is situated is an innate communication skill that relies on spatial cognition, spatial reasoning, and linguistic systems. Accordingly, textual geolocation, a task for retrieving the coordinates of a place from linguistic descriptions, requires computerized spatial inference and natural language understanding. Yet, machine-based textual geolocation is currently limited, mainly due to the lack of rich geo-textual datasets necessitated to train natural language models that, in-turn, cannot adequately interpret the language-based expressions. These limitations are intensif
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Trofimova, Ekaterina, Emil Sataev, and Andrey Ustyuzhanin. "Linguacodus: a synergistic framework for transformative code generation in machine learning pipelines." PeerJ Computer Science 10 (September 23, 2024): e2328. http://dx.doi.org/10.7717/peerj-cs.2328.

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In the ever-evolving landscape of machine learning, seamless translation of natural language descriptions into executable code remains a formidable challenge. This article introduces Linguacodus, an innovative framework designed to tackle this challenge by deploying a dynamic pipeline that iteratively transforms natural language task descriptions into code through high-level data-shaping instructions. The core of Linguacodus is a fine-tuned large language model, empowered to evaluate diverse solutions for various problems and select the most fitting one for a given task. This article details t
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Dissertations / Theses on the topic "Natural language descriptions"

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Khan, Muhammad Usman Ghani. "Natural language descriptions for video streams." Thesis, University of Sheffield, 2012. http://etheses.whiterose.ac.uk/2789/.

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This thesis is concerned with the automatic generation of natural language descriptions that can be used for video indexing, retrieval and summarization applications. It is a step ahead of keyword based tagging as it captures relations between keywords associated with videos, thus clarifying the context between them. Initially, we prepare hand annotations consisting of descriptions for video segments crafted from a TREC Video dataset. Analysis of this data presents insights into humans interests on video contents. For machine generated descriptions, conventional image processing techniques are
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Kushman, Nate. "Generating computer programs from natural language descriptions." Thesis, Massachusetts Institute of Technology, 2015. http://hdl.handle.net/1721.1/101572.

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Thesis: Ph. D., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2015.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (pages 159-169).<br>This thesis addresses the problem of learning to translate natural language into preexisting programming languages supported by widely-deployed computer systems. Generating programs for existing computer systems enables us to take advantage of two important capabilities of these systems: computing the semantic equivalence between programs, and executing the programs to obtain a
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Sunil, Kamalakar FNU. "Automatically Generating Tests from Natural Language Descriptions of Software Behavior." Thesis, Virginia Tech, 2013. http://hdl.handle.net/10919/23907.

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Behavior-Driven Development (BDD) is an emerging agile development approach where all stakeholders (including developers and customers) work together to write user stories in structured natural language to capture a software application's functionality in terms of re- quired "behaviors". Developers then manually write "glue" code so that these scenarios can be executed as software tests. This glue code represents individual steps within unit and acceptance test cases, and tools exist that automate the mapping from scenario descriptions to manually written code steps (typically using regular ex
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Öhl, Peter Günther. "Economical computation of structural descriptions in natural language : a minimally radicalist theory /." [S.l. : s.n.], 2003. http://www.bsz-bw.de/cgi-bin/xvms.cgi?SWB10621260.

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Öhl, Peter. "Economical computation of structural descriptions in natural language a minimally radicalist theory /." [S.l. : s.n.], 2003. http://www.bsz-bw.de/cgi-bin/xvms.cgi?SWB10633960.

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Rohrbach, Anna [Verfasser], and Bernt [Akademischer Betreuer] Schiele. "Generation and grounding of natural language descriptions for visual data / Anna Rohrbach ; Betreuer: Bernt Schiele." Saarbrücken : Saarländische Universitäts- und Landesbibliothek, 2017. http://d-nb.info/113349207X/34.

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Rohrbach, Marcus [Verfasser], and Bernt [Akademischer Betreuer] Schiele. "Combining visual recognition and computational linguistics : linguistic knowledge for visual recognition and natural language descriptions of visual content / Marcus Rohrbach. Betreuer: Bernt Schiele." Saarbrücken : Saarländische Universitäts- und Landesbibliothek, 2014. http://d-nb.info/1053980698/34.

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Blank, Carrine E., Hong Cui, Lisa R. Moore, and Ramona L. Walls. "MicrO: an ontology of phenotypic and metabolic characters, assays, and culture media found in prokaryotic taxonomic descriptions." BIOMED CENTRAL LTD, 2016. http://hdl.handle.net/10150/614758.

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Background: MicrO is an ontology of microbiological terms, including prokaryotic qualities and processes, material entities (such as cell components), chemical entities (such as microbiological culture media and medium ingredients), and assays. The ontology was built to support the ongoing development of a natural language processing algorithm, MicroPIE (or, Microbial Phenomics Information Extractor). During the MicroPIE design process, we realized there was a need for a prokaryotic ontology which would capture the evolutionary diversity of phenotypes and metabolic processes across the tree of
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Mao, Jin, Lisa R. Moore, Carrine E. Blank, et al. "Microbial phenomics information extractor (MicroPIE): a natural language processing tool for the automated acquisition of prokaryotic phenotypic characters from text sources." BIOMED CENTRAL LTD, 2016. http://hdl.handle.net/10150/622562.

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Background: The large-scale analysis of phenomic data (i.e., full phenotypic traits of an organism, such as shape, metabolic substrates, and growth conditions) in microbial bioinformatics has been hampered by the lack of tools to rapidly and accurately extract phenotypic data from existing legacy text in the field of microbiology. To quickly obtain knowledge on the distribution and evolution of microbial traits, an information extraction system needed to be developed to extract phenotypic characters from large numbers of taxonomic descriptions so they can be used as input to existing phylogene
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Dobnik, Simon. "Teaching mobile robots to use spatial words." Thesis, University of Oxford, 2009. http://ora.ox.ac.uk/objects/uuid:d3e8d606-212b-4a8e-ba9b-9c59cfd3f485.

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The meaning of spatial words can only be evaluated by establishing a reference to the properties of the environment in which the word is used. For example, in order to evaluate what is to the left of something or how fast is fast in a given context, we need to evaluate properties such as the position of objects in the scene, their typical function and behaviour, the size of the scene and the perspective from which the scene is viewed. Rather than encoding the semantic rules that define spatial expressions by hand, we developed a system where such rules are learned from descriptions produced by
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Books on the topic "Natural language descriptions"

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1950-, Barlow Michael, Ferguson Charles Albert 1921-, Stanford University. Dept. of Linguistics., Center for the Study of Language and Information (U.S.), and Conference on Agreement in Natural Language (1984 : Stanford, Calif.), eds. Agreement in natural language: Approaches, theories, descriptions. Center for the Study of Language and Information, 1988.

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Bangalore, Srinivas. Supertagging: Using complex lexical descriptions in natural language processing. MIT Press, 2010.

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1969-, Bangalore Srinivas, and Joshi Aravind K. 1929-, eds. Supertagging: Using complex lexical descriptions in natural language processing. The MIT Press, 2010.

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Holtkamp, Bernhard. DEMON- a media object model incorporating natural language descriptions for retrieval support. Naval Postgraduate School, 1990.

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Borchardt, Gary C. Thinking between the lines: Computers and the comprehension of causal descriptions. MIT Press, 1994.

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Conference on Applied Natural Language Processing (5th 1997 Washington, D.C.). Fifth Conference on Applied Natural Language Processing: Descriptions of system demonstrations and videos, 31 March-3 April 1997, Washington Marriott Hotel, Washington, DC, USA. Association for Computational Linguistics, 1997.

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Lahontan, Louis Armand de Lom d'Arce. Nouveaux voyages de Mr. le baron de Lahontan, dans l'Amerique septentrionale: Qui contient une relation des differens peuples qui y habitent, la nature de leur gouvernement, leur commerce, leur coûtume, leur religion, & leur manière de faire la guerre, l'intérêt des François & des Anglois dans le commerce qu'ils font avec ces nations, l'avantage que l'Angleterre peut retirer dans ce païs, étant en guerre avec la France : le tout enrichi de cartes & de figures. Chez les freres l'Honoré ..., 1991.

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Estes, Heide. Anglo-Saxon Literary Landscapes. Amsterdam University Press, 2017. http://dx.doi.org/10.5117/9789089649447.

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Literary scholars have traditionally understood landscapes, whether natural or manmade, as metaphors for humanity instead of concrete settings for people's actions. This book accepts the natural world as such by investigating how Anglo-Saxons interacted with and conceived of their lived environments. Examining Old English poems, such as Beowulf and Judith, as well as descriptions of natural events from the Anglo-Saxon Chronicle and other documentary texts, Heide Estes shows that Anglo-Saxon ideologies which view nature as diametrically opposed to humans, and the natural world as designed for h
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Georgiev, Hristo. Dictionary of word meanings: (artificial language for semantic description). Nova Science Publishers, 2010.

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Teich, Elke. Systemic functional grammar in natural language generation: Linguistic description and computational representation. Cassell, 1999.

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Book chapters on the topic "Natural language descriptions"

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Flores d’Arcais, Giovanni B. "Perceptual Factors and Word Order in Event Descriptions." In Natural Language Generation. Springer Netherlands, 1987. http://dx.doi.org/10.1007/978-94-009-3645-4_28.

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Wüthrich, Mario V., and Michael Merz. "Natural Language Processing." In Springer Actuarial. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-12409-9_10.

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AbstractThis chapter discusses natural language processing (NLP) which deals with regression modeling of non-tabular or unstructured text data. We explain how words can be embedded into low-dimension spaces that serve as numerical word encodings. These can then be used for text recognition, either using RN networks or attention layers. We give an example where we aim at predicting claim perils from claim descriptions.
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Tang, Jian, Yu Hong, Mengyi Liu, Jiashuo Zhang, and Jianmin Yao. "Optimizing Topic Distributions of Descriptions for Image Description Translation." In Natural Language Processing and Chinese Computing. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-73618-1_25.

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Turner, Ross, Somayajulu Sripada, and Ehud Reiter. "Generating Approximate Geographic Descriptions." In Empirical Methods in Natural Language Generation. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-15573-4_7.

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Mittal, Vibhu O. "Generating Descriptions." In Generating Natural Language Descriptions With Integrated Text and Examples. Psychology Press, 2022. http://dx.doi.org/10.4324/9781315785240-6.

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Novak, Hans-Joachim. "Strategies for Generating Coherent Descriptions of Object Movements in Street Scenes." In Natural Language Generation. Springer Netherlands, 1987. http://dx.doi.org/10.1007/978-94-009-3645-4_9.

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van Deemter, Kees. "Finetuning NLG Through Experiments with Human Subjects: The Case of Vague Descriptions." In Natural Language Generation. Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-27823-8_4.

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Vieira, Renata, Susanne Salmon-Alt, and Emmanuel Schang. "Multilingual Corpora Annotation for Processing Definite Descriptions." In Advances in Natural Language Processing. Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/3-540-45433-0_34.

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Flores, Jorge J. García. "Semantic Filtering of Textual Requirements Descriptions." In Natural Language Processing and Information Systems. Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-27779-8_42.

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Wasko, Margaret, and Robert Dale. "Generating Natural Language Descriptions of Project Plans." In Advanced Topics in Artificial Intelligence. Springer Berlin Heidelberg, 1999. http://dx.doi.org/10.1007/3-540-46695-9_10.

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Conference papers on the topic "Natural language descriptions"

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Manojlovska, Anastasija, Raghavendra Ramachandra, Georgios Spathoulas, Vitomir Štruc, and Klemen Grm. "Interpreting Face Recognition Templates Using Natural Language Descriptions." In 2025 IEEE/CVF Winter Conference on Applications of Computer Vision Workshops (WACVW). IEEE, 2025. https://doi.org/10.1109/wacvw65960.2025.00096.

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Hwang, EunJeong, Vered Shwartz, Dan Gutfreund, and Veronika Thost. "A Graph per Persona: Reasoning about Subjective Natural Language Descriptions." In Findings of the Association for Computational Linguistics ACL 2024. Association for Computational Linguistics, 2024. http://dx.doi.org/10.18653/v1/2024.findings-acl.115.

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Wang, Yuanyuan, Hangting Chen, Dongchao Yang, Zhiyong Wu, and Xixin Wu. "AudioComposer: Towards Fine-grained Audio Generation with Natural Language Descriptions." In ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2025. https://doi.org/10.1109/icassp49660.2025.10888303.

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Vieira da Silva, Luis Miguel, Aljosha Kocher, Felix Gehlhoff, and Alexander Fay. "Toward a Method to Generate Capability Ontologies from Natural Language Descriptions." In 2024 IEEE 29th International Conference on Emerging Technologies and Factory Automation (ETFA). IEEE, 2024. http://dx.doi.org/10.1109/etfa61755.2024.10710783.

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Garg, Roopal, Andrea Burns, Burcu Karagol Ayan, et al. "ImageInWords: Unlocking Hyper-Detailed Image Descriptions." In Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics, 2024. http://dx.doi.org/10.18653/v1/2024.emnlp-main.6.

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Wałęga, Przemysław Andrzej. "Expressive Power of Definite Descriptions in Modal Logics." In 21st International Conference on Principles of Knowledge Representation and Reasoning {KR-2023}. International Joint Conferences on Artificial Intelligence Organization, 2024. http://dx.doi.org/10.24963/kr.2024/65.

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Motivated by applications in knowledge representation and reasoning, modal and description logics have been recently extended with definite description operators. Such operators provide us with a tool for referring to a particular element of a model by stating a property satisfied only by this element. This mechanism resembles the way we refer to objects in natural language, which makes it an attractive component of ontology and query languages. In this paper, we aim to provide a tool for analysing the expressive power of logics with definite descriptions. In particular, we introduce an adequa
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Zur, Amir, Elisa Kreiss, Karel D’Oosterlinck, Christopher Potts, and Atticus Geiger. "Updating CLIP to Prefer Descriptions Over Captions." In Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics, 2024. http://dx.doi.org/10.18653/v1/2024.emnlp-main.1125.

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Mittal, Vibhu O. "Generating analogical natural language object descriptions." In the 30th annual Southeast regional conference. ACM Press, 1992. http://dx.doi.org/10.1145/503720.503727.

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Harris, Ian G. "Capturing assertions from natural language descriptions." In 2013 1st International Workshop on Natural Language Analysis in Software Engineering (NaturaLiSE). IEEE, 2013. http://dx.doi.org/10.1109/naturalise.2013.6611716.

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Feng, Qi, Vitaly Ablavsky, Qinxun Bai, and Stan Sclaroff. "Siamese Natural Language Tracker: Tracking by Natural Language Descriptions with Siamese Trackers." In 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, 2021. http://dx.doi.org/10.1109/cvpr46437.2021.00579.

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Reports on the topic "Natural language descriptions"

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Furey, John, Austin Davis, and Jennifer Seiter-Moser. Natural language indexing for pedoinformatics. Engineer Research and Development Center (U.S.), 2021. http://dx.doi.org/10.21079/11681/41960.

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The multiple schema for the classification of soils rely on differing criteria but the major soil science systems, including the United States Department of Agriculture (USDA) and the international harmonized World Reference Base for Soil Resources soil classification systems, are primarily based on inferred pedogenesis. Largely these classifications are compiled from individual observations of soil characteristics within soil profiles, and the vast majority of this pedologic information is contained in nonquantitative text descriptions. We present initial text mining analyses of parsed text i
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Mittal, Vibhu O., and Cecil Paris. Generating Natural Language Descriptions with Examples: Differences between Introductory and Advanced Text. Defense Technical Information Center, 1993. http://dx.doi.org/10.21236/ada269554.

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Küsters, Ralf, and Alex Borgida. What's in an Attribute? Consequences for the Least Common Subsumer. Aachen University of Technology, 1999. http://dx.doi.org/10.25368/2022.102.

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Functional relationships between objects, called 'attributes', are of considerable importance in knowledge representation languages, including Description Logics (DLs). A study of the literature indicates that papers have made, often implicity, different assumptions about the nature of attributes: whether they are always required to have a value, or whether they can be partial functions. The work presented here is the first explicit study of this difference for (sub-)classes of the CLASSIC DL, involving the same-as concept constructor. It is shown that although determining subsumption between
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Lutz, Carsten, Carlos Areces, Ian Horrocks, and Ulrike Sattler. Keys, Nominals, and Concrete Domains. Technische Universität Dresden, 2002. http://dx.doi.org/10.25368/2022.122.

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Many description logics (DLs) combine knowledge representation on an abstract, logical level with an interface to 'concrete' domains such as numbers and strings with built-in predicates such as &lt;, +, and prefix-of. These hybrid DLs have turned out to be quite useful for reasoning about conceptual models of information systems, and as the basis for expressive ontology languages. We propose to further extend such DLs with key constraints that allow the expression of statements like 'US citizens are uniquely identified by their social security number'. Based on this idea, we introduce a number
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Ma, Yue, and Felix Distel. Learning Formal Definitions for Snomed CT from Text. Technische Universität Dresden, 2013. http://dx.doi.org/10.25368/2022.193.

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Snomed CT is a widely used medical ontology which is formally expressed in a fragment of the Description Logic EL++. The underlying logics allow for expressive querying, yet make it costly to maintain and extend the ontology. Existing approaches for ontology generation mostly focus on learning superclass or subclass relations and therefore fail to be used to generate Snomed CT definitions. In this paper, we present an approach for the extraction of Snomed CT definitions from natural language texts, based on the distance relation extraction approach. By benefiting from a relatively large amount
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