Relevant bibliographies by topics / Linguistic uncertainty

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

Academic literature on the topic 'Linguistic uncertainty'

Author: Grafiati
Published: 4 June 2021
Last updated: 25 July 2025

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Journal articles on the topic "Linguistic uncertainty"

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Batyushkina, Marina V. "Legal and linguistic uncertainty of terms and norms of Russian laws." Russian Language Studies 19, no. 2 (2021): 138–54. http://dx.doi.org/10.22363/2618-8163-2021-19-2-138-154.

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The article presents the results of a study of de jure (modeled) and de facto (real) interpretation of the concept legal and linguistic uncertainty, which is relevant for modern Russian legal discourse, lawmaking, judicial, and expert practice. These features are typical for Russian legal discourse, lawmaking, judicial, expert practice, as well as the scientific sphere of communication. The article is aimed at studying the objective and subjective reasons for legal and linguistic uncertainty of legislative terms and legislative norms; analysing the conditions under which uncertainty is conside
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Juanchich, Marie, Amélie Gourdon-Kanhukamwe, and Miroslav Sirota. "“I am uncertain” vs “It is uncertain”. How linguistic markers of the uncertainty source affect uncertainty communication." Judgment and Decision Making 12, no. 5 (2017): 445–65. http://dx.doi.org/10.1017/s1930297500006483.

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AbstractTwo psychological sources of uncertainty bear implications for judgment and decision-making: external uncertainty is seen as stemming from properties of the world, whereas internal uncertainty is seen as stemming from lack of knowledge. The apparent source of uncertainty can be conveyed through linguistic markers, such as the pronoun of probability phrases (e.g., I am uncertain vs. It is uncertain). Here, we investigated whether and when speakers use different pronoun subjects as such linguistic markers (Exp. 1 and 2) and what hearers infer from them (Exp. 3 and 4). Speakers more often
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Stranovská, Eva, and Daša Munková. "Uncertainty and Linguistic Intervention Programme." Procedia - Social and Behavioral Sciences 171 (January 2015): 1410–15. http://dx.doi.org/10.1016/j.sbspro.2015.01.261.

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Mahapatra, Rupkumar, Sovan Samanta, Madhumangal Pal, Tofigh Allahviranloo, and Antonios Kalampakas. "A Study on Linguistic Z-Graph and Its Application in Social Networks." Mathematics 12, no. 18 (2024): 2898. http://dx.doi.org/10.3390/math12182898.

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This paper presents a comprehensive study of the linguistic Z-graph, which is a novel framework designed to analyze linguistic structures within social networks. By integrating concepts from graph theory and linguistics, the linguistic Z-graph provides a detailed understanding of language dynamics in online communities. This study highlights the practical applications of linguistic Z-graphs in identifying central nodes within social networks, which are crucial for online businesses in market capture and information dissemination. Traditional methods for identifying central nodes rely on direct
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Walley, Peter, and Gert de Cooman. "A behavioral model for linguistic uncertainty." Information Sciences 134, no. 1-4 (2001): 1–37. http://dx.doi.org/10.1016/s0020-0255(01)00090-1.

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Nakamura, Kazuo. "Uncertainty of Linguistic Expressions and Fuzzy Approach." Japanese journal of ergonomics 28, Supplement (1992): 38–39. http://dx.doi.org/10.5100/jje.28.supplement_38.

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Sukhoverkhov, Anton, Dorothy DeWitt, Ioannis Manasidi, Keiko Nitta, and Vladimir Krstić. "Lost in Machine Translation: Contextual Linguistic Uncertainty." Vestnik Volgogradskogo gosudarstvennogo universiteta. Serija 2. Jazykoznanije, no. 4 (December 2019): 129–44. http://dx.doi.org/10.15688/jvolsu2.2019.4.10.

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The article considers the issues related to the semantic, grammatical, stylistic and technical difficulties currently present in machine translation and compares its four main approaches: Rule-based (RBMT), Corpora-based (CBMT), Neural (NMT), and Hybrid (HMT). It also examines some "open systems", which allow the correction or augmentation of content by the users themselves ("crowdsourced translation"). The authors of the article, native speakers presenting different countries (Russia, Greece, Malaysia, Japan and Serbia), tested the translation quality of the most representative phrases from t
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Harris, Tony. "Linguistics in applied linguistics : a historical overview." Journal of English Studies 3 (May 29, 2002): 99. http://dx.doi.org/10.18172/jes.72.

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This paper looks at some of the underlying reasons which might explain the uncertainty surrounding applied linguistics as an academic enquiry. The opening section traces the emergence of the field through its professional associations and publications and identifies second and foreign language (L2) teaching as its primary activity. The succeeding section examines the extent to which L2 pedagogy, as a branch of applied linguistics, is conceived within a theoretical linguistic framework and how this might have changed during a historical period that gave rise to Chomskyan linguistics and the not
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XU, ZESHUI. "AN APPROACH TO PURE LINGUISTIC MULTIPLE ATTRIBUTE DECISION MAKING UNDER UNCERTAINTY." International Journal of Information Technology & Decision Making 04, no. 02 (2005): 197–206. http://dx.doi.org/10.1142/s0219622005001465.

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The pure linguistic multiple attribute decision making problems are studied, in which the information about the attribute weights are expressed in the form of linguistic variables or uncertain linguistic variables, and the attribute values take the form of uncertain linguistic variables. The operational laws of uncertain linguistic variables are introduced, and two uncertain linguistic aggregation operators called linguistic weighted aggregation operator and uncertain linguistic weighted aggregation operator are developed based on uncertain linguistic variables and their operational laws. An a
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Bidin, Mohd Syafiq, Abd Fatah Wahab, Mohammad Izat Emir Zulkifly, and Rozaimi Zakaria. "GENERALIZED FUZZY LINGUISTIC CUBIC B-SPLINE CURVE MODEL FOR UNCERTAINTY FUZZY LINGUISTIC DATA." Advances and Applications in Discrete Mathematics 25, no. 2 (2020): 285–302. http://dx.doi.org/10.17654/dm025020285.

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Dissertations / Theses on the topic "Linguistic uncertainty"

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Wijayasekara, Dumidu S. "IMPROVING UNDERSTANDABILITY AND UNCERTAINTY MODELING OF DATA USING FUZZY LOGIC SYSTEMS." VCU Scholars Compass, 2016. http://scholarscompass.vcu.edu/etd/4126.

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The need for automation, optimality and efficiency has made modern day control and monitoring systems extremely complex and data abundant. However, the complexity of the systems and the abundance of raw data has reduced the understandability and interpretability of data which results in a reduced state awareness of the system. Furthermore, different levels of uncertainty introduced by sensors and actuators make interpreting and accurately manipulating systems difficult. Classical mathematical methods lack the capability to capture human knowledge and increase understandability while modeling s
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Vamborg, Freja S. E. "Linguistic uncertainty in meteorological forecastsfor Russian speaking audiences : A comparative study between televised weather forecastsand seasonal outlooks of the Northern Eurasian ClimateOutlook Forum." Thesis, Högskolan Dalarna, Ryska, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:du-27832.

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In order to make informed decisions, we need to resort to various types of information and we need to know how uncertain this information is. A commonly used source for information and subsequent action is weather forecasts. The communication of uncertainty in weather forecasts has been widely studied for English speaking audiences, resulting in a number of guidelines that practitioners can follow. For forecasts aimed at Russian speaking audiences there are very few, if no, such studies. The aim of this study is to extend previous research on the communication of uncertainties in weather forec
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Tanaka, Noriko. "The pragmatics of uncertainty : its realisation and interpretation in English and Japanese." Thesis, Lancaster University, 1993. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.334067.

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DeVault, David, and Matthew Stone. "Scorekeeping in an uncertain language game." Universität Potsdam, 2006. http://opus.kobv.de/ubp/volltexte/2006/1044/.

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Received views of utterance context in pragmatic theory characterize the occurrent subjective states of interlocutors using notions like common knowledge or mutual belief. <br>We argue that these views are not compatible with the uncertainty and robustness of context-dependence in human–human dialogue. We present an alternative characterization of utterance context as objective and normative. This view reconciles the need for uncertainty with received intuitions about coordination and meaning in context, and can directly inform computational approaches to dialogue. <br><br>
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Skantze, Gabriel. "Error Handling in Spoken Dialogue Systems : Managing Uncertainty, Grounding and Miscommunication." Doctoral thesis, Stockholm, : Datavetenskap och kommunikation, 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-4521.

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Sekicki, Mirjana [Verfasser], and Maria [Akademischer Betreuer] Staudte. "Exploiting referential gaze for uncertainty reduction in situated language processing : an information-theoretic approach / Mirjana Sekicki ; Betreuer: Maria Staudte." Saarbrücken : Saarländische Universitäts- und Landesbibliothek, 2019. http://d-nb.info/119609005X/34.

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Sekicki, Mirjana Verfasser], and Maria [Akademischer Betreuer] [Staudte. "Exploiting referential gaze for uncertainty reduction in situated language processing : an information-theoretic approach / Mirjana Sekicki ; Betreuer: Maria Staudte." Saarbrücken : Saarländische Universitäts- und Landesbibliothek, 2019. http://nbn-resolving.de/urn:nbn:de:bsz:291--ds-285651.

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Morávek, Petr. "Zpracování neurčitých údajů v databázích." Master's thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2009. http://www.nusl.cz/ntk/nusl-228839.

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The following diploma thesis focuses on processing of uncertain information in databases. Uncertain information represents vague customer requests during laptop choice in classic shop purchasing. Effort of the work is to develop a modern e-shop application selling laptops, which is based on expert fuzzy system helping customers to choose a laptop without knowledge of technical specifications and current trends.
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Chavez, Thomas David F. Luechai Sringernyuang. "The language of uncertainty in a new illness : hedging and modality in the biomedical discourse of severe acute respiratory syndrome (SARS) /." Abstract, 2004. http://mulinet3.li.mahidol.ac.th/thesis/2547/cd366/4537982.pdf.

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Hall, Kathleen Currie. "A Probabilistic Model of Phonological Relationships from Contrast to Allophony." The Ohio State University, 2009. http://rave.ohiolink.edu/etdc/view?acc_num=osu1250228987.

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Books on the topic "Linguistic uncertainty"

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Allahviranloo, Tofigh, and Sovan Samanta, eds. Management of Uncertainty Using Linguistic Z-Numbers. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-65854-9.

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Zhang, Zhen, Wenyu Yu, and Zhuolin Li. Modeling Complex Linguistic Information to Support Group Decision Making Under Uncertainty. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-97-3584-6.

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Wang, Hai, and Zeshui Xu. Theory and Approaches of Group Decision Making with Uncertain Linguistic Expressions. Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-3735-2.

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Kolossa, Dorothea. Robust Speech Recognition of Uncertain or Missing Data: Theory and Applications. Springer-Verlag Berlin Heidelberg, 2011.

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Yu, Wenyu, and Zhuolin Li. Modeling Complex Linguistic Information to Support Group Decision Making under Uncertainty. Springer, 2024.

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Gagnon, Alain-G. Minority Nations in the Age of Uncertainty: New Paths to National Emancipation and Empowerment. University of Toronto Press, 2018.

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Gagnon, Alain-G. Minority Nations in the Age of Uncertainty: New Paths to National Emancipation and Empowerment. University of Toronto Press, 2014.

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de Almeida, Roberto G. Composing Meaning and Thinking. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198791492.003.0012.

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If there is a line between semantics and pragmatics, where is it drawn? In this essay I propose that appreciating a sentence is subject to two sets of processes: linguistic (viz., syntactic, semantic) driving the composition of shallow propositions, and unbounded pragmatic (viz., thinking). In section 1, I discuss some guiding assumptions on cognitive architecture, which constrain the nature of linguistic and cognitive representations and processes—and by implication, the conception of the semantics/pragmatics divide I have to offer. The phenomena I examine in section 2, relying on linguistic
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Lobina, David J. On recursive parsing. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198785156.003.0006.

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The processing of a linguistic expression, when viewed as a complex of (Specifier)-Head-Complement(s) phrases (SHCs), whilst suggestive of a recursive solution—that is, a sentence is a matrix SHC (subject-verb-object) composed of internal SHCs and the completion of the overall task is divisible into smaller but equivalent subtasks—in fact proceeds iteratively. This is here shown by manipulating the memory load of processing SHCs and measuring the reaction times of participants to extraneous tones placed at specific places within a sentence. The results show that there is a decreasing tendency
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Wang, Hai, and Zeshui Xu. Theory and Approaches of Group Decision Making with Uncertain Linguistic Expressions. Springer, 2019.

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Book chapters on the topic "Linguistic uncertainty"

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Klinke, Andreas. "Linguistic-Communicative Uncertainty." In A Theory of Uncertainty. Routledge, 2024. http://dx.doi.org/10.4324/9781003466543-5.

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Schwartz, Daniel G. "An alternative semantics for linguistic variables." In Uncertainty and Intelligent Systems. Springer Berlin Heidelberg, 1988. http://dx.doi.org/10.1007/3-540-19402-9_60.

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Wu, Yuzhu, and Yucheng Dong. "Distributed Linguistic Multiple Attribute Decision Making." In Uncertainty and Operations Research. Springer Nature Singapore, 2025. https://doi.org/10.1007/978-981-96-4936-5_4.

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Wu, Yuzhu, and Yucheng Dong. "Distributed Linguistic Information Transformations and Unifications." In Uncertainty and Operations Research. Springer Nature Singapore, 2025. https://doi.org/10.1007/978-981-96-4936-5_2.

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Wu, Yuzhu, and Yucheng Dong. "Distributed Linguistic Information Fusion and Consensus." In Uncertainty and Operations Research. Springer Nature Singapore, 2025. https://doi.org/10.1007/978-981-96-4936-5_3.

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Qin, Zengchang, and Yongchuan Tang. "Linguistic Decision Trees for Classification." In Uncertainty Modeling for Data Mining. Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-41251-6_4.

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Qin, Zengchang, and Yongchuan Tang. "Linguistic Decision Trees for Prediction." In Uncertainty Modeling for Data Mining. Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-41251-6_5.

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Peng, Xian-Tu, and Pei-zhuang Wang. "On generating linguistic rules for fuzzy models." In Uncertainty and Intelligent Systems. Springer Berlin Heidelberg, 1988. http://dx.doi.org/10.1007/3-540-19402-9_72.

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Wu, Yuzhu, and Yucheng Dong. "Personalized Individual Semantics for Distributed Linguistic Representation." In Uncertainty and Operations Research. Springer Nature Singapore, 2025. https://doi.org/10.1007/978-981-96-4936-5_5.

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Liang, Decui, Mingwei Wang, and Zeshui Xu. "Three-Way Group Decision Under Linguistic Assessments." In Uncertainty and Operations Research. Springer Nature Singapore, 2024. https://doi.org/10.1007/978-981-97-8565-0_3.

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Conference papers on the topic "Linguistic uncertainty"

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Rhinehart, R. Russell. "Linguistic Modeling: Validation, Improvement, and Uncertainty." In 2024 American Control Conference (ACC). IEEE, 2024. http://dx.doi.org/10.23919/acc60939.2024.10644862.

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Belém, Catarina G., Markelle Kelly, Mark Steyvers, Sameer Singh, and Padhraic Smyth. "Perceptions of Linguistic Uncertainty by Language Models and Humans." 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.483.

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Karasan, Ali, Fatma Kutlu Gündoğdu, Esra Ilbahar, Kübra Yazir, and İhsan Kaya. "Assigning Values to Uncertainty Functions of Linguistic Terms for Evaluation Scale Construction: Process Capability Analysis Perspective." In 2024 International Conference of the African Federation of Operational Research Societies (AFROS). IEEE, 2024. https://doi.org/10.1109/afros62115.2024.11036946.

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Yang, Yongjin, Haneul Yoo, and Hwaran Lee. "MAQA: Evaluating Uncertainty Quantification in LLMs Regarding Data Uncertainty." In Findings of the Association for Computational Linguistics: NAACL 2025. Association for Computational Linguistics, 2025. https://doi.org/10.18653/v1/2025.findings-naacl.325.

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Han, Jiuzhou, Wray Buntine, and Ehsan Shareghi. "Towards Uncertainty-Aware Language Agent." 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.398.

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Liu, Hao, Zi-Yi Dou, Yixin Wang, Nanyun Peng, and Yisong Yue. "Uncertainty Calibration for Tool-Using Language Agents." In Findings of the Association for Computational Linguistics: EMNLP 2024. Association for Computational Linguistics, 2024. http://dx.doi.org/10.18653/v1/2024.findings-emnlp.978.

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Sicilia, Anthony, Mert Inan, and Malihe Alikhani. "Accounting for Sycophancy in Language Model Uncertainty Estimation." In Findings of the Association for Computational Linguistics: NAACL 2025. Association for Computational Linguistics, 2025. https://doi.org/10.18653/v1/2025.findings-naacl.438.

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Fatahi Bayat, Farima, Xin Liu, H. Jagadish, and Lu Wang. "Enhanced Language Model Truthfulness with Learnable Intervention and Uncertainty Expression." 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.737.

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Marjanovic, Sara, Isabelle Augenstein, and Christina Lioma. "Investigating the Impact of Model Instability on Explanations and Uncertainty." 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.705.

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Chen, Zizhang, Peizhao Li, Xiaomeng Dong, and Pengyu Hong. "Uncertainty Quantification for Clinical Outcome Predictions with (Large) Language Models." In Findings of the Association for Computational Linguistics: NAACL 2025. Association for Computational Linguistics, 2025. https://doi.org/10.18653/v1/2025.findings-naacl.419.

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Reports on the topic "Linguistic uncertainty"

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Moreno Pérez, Carlos, and Marco Minozzo. “Making Text Talk”: The Minutes of the Central Bank of Brazil and the Real Economy. Banco de España, 2022. http://dx.doi.org/10.53479/23646.

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This paper investigates the relationship between the views expressed in the minutes of the meetings of the Central Bank of Brazil’s Monetary Policy Committee (COPOM) and the real economy. It applies various computational linguistic machine learning algorithms to construct measures of the minutes of the COPOM. First, we create measures of the content of the paragraphs of the minutes using Latent Dirichlet Allocation (LDA). Second, we build an uncertainty index for the minutes using Word Embedding and K-Means. Then, we combine these indices to create two topic-uncertainty indices. The first one
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