Relevant bibliographies by topics / Noisy Texts

Contents

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

Academic literature on the topic 'Noisy Texts'

Author: Grafiati
Published: 2 June 2025
Last updated: 31 July 2025

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Journal articles on the topic "Noisy Texts"

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K., Abainia. "Topic Identification of Noisy Texts: Statistical Approaches." International Journal of Hidden Data Mining and Scientific Knowledge Discovery 01, no. 01 (2015): 2. https://doi.org/10.5281/zenodo.20362.

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This paper deals with the problem of automatic theme identification of noisy Arabic texts. Actually, there exist several works in this field based on statistical and machine learning approaches for different text categories. Unfortunately, most of the proposed approaches are suitable in clean and long texts. In this investigation, we carried out a comparative study between two different statistical approaches based on tf-idf. Hence, different configurations were used in both approaches to provide a large comparison. Furthermore, an in-house corpus called ANTSIX was created to evaluate the prop
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Doval, Yerai, Jesús Vilares, and Carlos Gómez-Rodríguez. "Towards Robust Word Embeddings for Noisy Texts." Applied Sciences 10, no. 19 (2020): 6893. http://dx.doi.org/10.3390/app10196893.

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Research on word embeddings has mainly focused on improving their performance on standard corpora, disregarding the difficulties posed by noisy texts in the form of tweets and other types of non-standard writing from social media. In this work, we propose a simple extension to the skipgram model in which we introduce the concept of bridge-words, which are artificial words added to the model to strengthen the similarity between standard words and their noisy variants. Our new embeddings outperform baseline models on noisy texts on a wide range of evaluation tasks, both intrinsic and extrinsic,
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Pang, Ning, Zhen Tan, Xiang Zhao, Weixin Zeng, and Weidong Xiao. "Domain relation extraction from noisy Chinese texts." Neurocomputing 418 (December 2020): 21–35. http://dx.doi.org/10.1016/j.neucom.2020.07.077.

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Liu, Zheng, Chiyu Liu, Bin Xia, and Tao Li. "Multiple Relational Topic Modeling for Noisy Short Texts." International Journal of Software Engineering and Knowledge Engineering 28, no. 11n12 (2018): 1559–74. http://dx.doi.org/10.1142/s021819401840017x.

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Understanding contents in social networks by inferring high-quality latent topics from short texts is a significant task in social analysis, which is challenging because social network contents are usually extremely short, noisy and full of informal vocabularies. Due to the lack of sufficient word co-occurrence instances, well-known topic modeling methods such as LDA and LSA cannot uncover high-quality topic structures. Existing research works seek to pool short texts from social networks into pseudo documents or utilize the explicit relations among these short texts such as hashtags in tweets
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Bolger, Elizabeth. "“Noisy Pleasures” and “Noisy Evil[s]”: The Political Dimensions of Sound in Jane Austen’s Mansfield Park." Eighteenth Century 64, no. 3-4 (2023): 287–301. https://doi.org/10.1353/ecy.2023.a950265.

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Abstract: In this essay, I demonstrate how Jane Austen uses sound (chatter, commotion, and silence) in Mansfield Park (1814) to create a conservative soundscape, one that associates reticence with the elite and noise with the lower classes. At the same time, I argue that Austen creates this soundscape only to break down its hierarchical assumptions about class. By considering her depiction of sound in relation to other eighteenth-century texts that discuss the politics of sound—Edmund Burke and Mary Wollstonecraft’s texts on the French Revolution, as well as Thomas Clarkson and Samuel Johnson’
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Stoica, Alina. "Filtering Noisy Web Data by Identifying and Leveraging Users' Contributions." Proceedings of the International AAAI Conference on Web and Social Media 6, no. 1 (2021): 583–86. http://dx.doi.org/10.1609/icwsm.v6i1.14295.

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In this paper we present several methods for collecting Web textual contents and filtering noisy data. We show that knowing which user publishes which contents can contribute to detecting noise. We begin by collecting data from two forums and from Twitter. For the forums, we extract the meaningful information from each discussion (texts of question and answers, IDs of users, date). For the Twitter dataset, we first detect tweets with very similar texts, which helps avoiding redundancy in further analysis. Also, this leads us to clusters of tweets that can be used in the same way as the forum d
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Sanjay Kumar Gorai and Shekhar Pradhan. "Bridging the Gap: OCR Techniques for Noisy and Distorted Texts." International Journal of Scientific Research in Computer Science, Engineering and Information Technology 11, no. 1 (2025): 695–703. https://doi.org/10.32628/cseit2511111.

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Optical Character Recognition (OCR) has evolved significantly over the years, enabling automated text extraction from a variety of sources. However, OCR systems often struggle with noisy and distorted texts, such as those found in low-quality scans, degraded historical documents, or images captured in challenging conditions. This paper explores state-of-the-art techniques and advancements in OCR for handling noisy and distorted texts. We discuss preprocessing methods, robust feature extraction, deep learning models, and post-processing techniques, providing a comprehensive overview of the fiel
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Niu, Yue, Hongjie Zhang, and Jing Li. "A Nested Chinese Restaurant Topic Model for Short Texts with Document Embeddings." Applied Sciences 11, no. 18 (2021): 8708. http://dx.doi.org/10.3390/app11188708.

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In recent years, short texts have become a kind of prevalent text on the internet. Due to the short length of each text, conventional topic models for short texts suffer from the sparsity of word co-occurrence information. Researchers have proposed different kinds of customized topic models for short texts by providing additional word co-occurrence information. However, these models cannot incorporate sufficient semantic word co-occurrence information and may bring additional noisy information. To address these issues, we propose a self-aggregated topic model incorporating document embeddings.
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Habeeb, Imad Qasim, Tamara Z. Fadhil, Yaseen Naser Jurn, Zeyad Qasim Habeeb, and Hanan Najm Abdulkhudhur. "An ensemble technique for speech recognition in noisy environments." Indonesian Journal of Electrical Engineering and Computer Science 18, no. 2 (2020): 835. http://dx.doi.org/10.11591/ijeecs.v18.i2.pp835-842.

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<span>Automatic speech recognition (ASR) is a technology that allows a computer and mobile device to recognize and translate spoken language into text. ASR systems often produce poor accuracy for the noisy speech signal. Therefore, this research proposed an ensemble technique that does not rely on a single filter for perfect noise reduction but incorporates information from multiple noise reduction filters to improve the final ASR accuracy. The main factor of this technique is the generation of K-copies of the speech signal using three noise reduction filters. The speech features of thes
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Imad, Qasim Habeeb, Z. Fadhil Tamara, Naser Jurn Yaseen, Qasim Habeeb Zeyad, and Najm Abdulkhudhur Hanan. "An ensemble technique for speech recognition in noisy environments." Indonesian Journal of Electrical Engineering and Computer Science (IJEECS) 18, no. 2 (2020): 835–42. https://doi.org/10.11591/ijeecs.v18.i2.pp835-842.

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Automatic speech recognition (ASR) is a technology that allows a computer and mobile device to recognize and translate spoken language into text. ASR systems often produce poor accuracy for the noisy speech signal. Therefore, this research proposed an ensemble technique that does not rely on a single filter for perfect noise reduction but incorporates information from multiple noise reduction filters to improve the final ASR accuracy. The main factor of this technique is the generation of K-copies of the speech signal using three noise reduction filters. The speech features of these copies dif
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Dissertations / Theses on the topic "Noisy Texts"

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Tabassum, Binte Jafar Jeniya. "Information Extraction From User Generated Noisy Texts." The Ohio State University, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=osu1606315356821532.

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Coetsee, Dirko. "Conditional random fields for noisy text normalisation." Thesis, Stellenbosch : Stellenbosch University, 2014. http://hdl.handle.net/10019.1/96064.

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Thesis (MScEng) -- Stellenbosch University, 2014.<br>ENGLISH ABSTRACT: The increasing popularity of microblogging services such as Twitter means that more and more unstructured data is available for analysis. The informal language usage in these media presents a problem for traditional text mining and natural language processing tools. We develop a pre-processor to normalise this noisy text so that useful information can be extracted with standard tools. A system consisting of a tokeniser, out-of-vocabulary token identifier, correct candidate generator, and N-gram language model is propo
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Toth, Leah Hutchison. "Resonant Texts: Sound, Noise, and Technology in Modern Literature." UKnowledge, 2016. http://uknowledge.uky.edu/english_etds/29.

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“Resonant Texts” draws from literary criticism, history, biography, media theory, and the history of technology to examine representations of sound and acts of listening in modern experimental fiction and drama. I argue that sound recording technology, invented in the late 19th century, equipped 20th century authors including James Joyce, Virginia Woolf, Ralph Ellison, and Samuel Beckett with new resources for depicting human consciousness and experience. The works in my study feature what I call “close listening,” a technique initially made possible by the phonograph, which forced listeners t
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Toska, Marsida. "A Rule-Based Normalization System for Greek Noisy User-Generated Text." Thesis, Uppsala universitet, Institutionen för lingvistik och filologi, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-424777.

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The ever-growing usage of social media platforms generates daily vast amounts of textual data which could potentially serve as a great source of information. Therefore, mining user-generated data for commercial, academic, or other purposes has already attracted the interest of the research community. However, the informal writing which often characterizes online user-generated texts poses a challenge for automatic text processing with Natural Language Processing (NLP) tools. To mitigate the effect of noise in these texts, lexical normalization has been proposed as a preprocessing method which
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Bertaglia, Thales Felipe Costa. "Normalização textual de conteúdo gerado por usuário." Universidade de São Paulo, 2017. http://www.teses.usp.br/teses/disponiveis/55/55134/tde-10112017-170919/.

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Conteúdo Gerado por Usuário (CGU) é a denominação dada ao conteúdo criado de forma espontânea por indivíduos comuns, sem vínculos com meios de comunicação. Esse tipo de conteúdo carrega informações valiosas e pode ser explorado por diversas áreas do conhecimento. Muito do CGU é disponibilizado em forma de textos avaliações de produtos, comentários em fóruns sobre filmes e discussões em redes sociais são exemplos. No entanto, a linguagem utilizada em textos de CGU diverge, de várias maneiras, da norma culta da língua, dificultando seu processamento por técnicas de PLN. A linguagem de CGU é for
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BÜCHLER, Marco. "Informationstechnische Aspekte des Historical Text Re-use." Doctoral thesis, Universitätsbibliothek Leipzig, 2013. http://nbn-resolving.de/urn:nbn:de:bsz:15-qucosa-108515.

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Gegenstand der Arbeit ----------------------- Was ist Text Re-use? Text Re-use beschreibt die mit unterschiedlichen Absichten mündliche und schriftliche Wiedergabe von Textinhalten. Diese können im Sinne einer Definition das Anerkennen einer Autorität aber auch das Wiedergeben einer besonders interessanten Information sein. Während der Fokus dieser Arbeit auf dem Erstellen eines Hypertextes durch eine Text Re-use Analysis liegt, sind die PageRanking-Technik oder auch bibliometrische Analysen weiterführende Anwendungen. Im Kontext derartiger Einsatzmöglichkeiten kann auf historischen Dokumenten
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Applen, John David. "The play of texts in Don DeLillo's "Libra", "Ratner's Star", and "White Noise"." Diss., The University of Arizona, 1994. http://hdl.handle.net/10150/186812.

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The central concern in my dissertation is how current theories of rhetoric and social construction are made manifest in three of Don DeLillo's novels: Libra, White Noise, and Ratner's Star. Libra demonstrates how the historical figure Lee Harvey Oswald and the events surrounding the assassination of John Kennedy are socially constructed by media imagery and the ambient texts of American culture. White Noise is an extension of Libra in that it details how the discourse of American consumer and political culture construct our sense of self and our relationship to others in our society. Ratner's
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Liu, Zelong. "High performance latent dirichlet allocation for text mining." Thesis, Brunel University, 2013. http://bura.brunel.ac.uk/handle/2438/7726.

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Latent Dirichlet Allocation (LDA), a total probability generative model, is a three-tier Bayesian model. LDA computes the latent topic structure of the data and obtains the significant information of documents. However, traditional LDA has several limitations in practical applications. LDA cannot be directly used in classification because it is a non-supervised learning model. It needs to be embedded into appropriate classification algorithms. LDA is a generative model as it normally generates the latent topics in the categories where the target documents do not belong to, producing the deviat
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Valentini, Botinhão Cássia. "Intelligibility enhancement of synthetic speech in noise." Thesis, University of Edinburgh, 2013. http://hdl.handle.net/1842/8877.

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Speech technology can facilitate human-machine interaction and create new communication interfaces. Text-To-Speech (TTS) systems provide speech output for dialogue, notification and reading applications as well as personalized voices for people that have lost the use of their own. TTS systems are built to produce synthetic voices that should sound as natural, expressive and intelligible as possible and if necessary be similar to a particular speaker. Although naturalness is an important requirement, providing the correct information in adverse conditions can be crucial to certain applications.
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Davidson, Sean Adam. "Detection of tones in reproducible noise: psychophysical and computational studies of stimulus features and processing mechanisms /." Related electronic resource:, 2007. http://proquest.umi.com/pqdweb?did=1342742901&sid=4&Fmt=2&clientId=3739&RQT=309&VName=PQD.

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Books on the topic "Noisy Texts"

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Steve, Slawich, and Kleven Dean ill, eds. Walt Disney's Mickey & friends noisy songs. Publications International, 1997.

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W, Awdry. Thomas the tank engine: A noisy surprise. Reed International, 1998.

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DeLillo, Don. White noise: Text and criticism. Penguin Books, 1998.

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L, Metcalf V., and Langley Research Center, eds. Structureborne noise in aircraft: Modal tests. National Aeronautics and Space Administration, Langley Research Center, 1986.

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Yoshikami, Sharon A. Flight operations: Noise tests of eight helicopters. U.S. Dept. of Transportation, Federal Aviation Administration, 1985.

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United States. National Aeronautics and Space Administration. Scientific and Technical Information Division. and United States. Army Aviation Systems Command., eds. Measurement resolution of noise directivity patterns from acoustic flight tests. National Aeronautics and Space Administration, Office of Management, Scientific and Technical Information Division, 1989.

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N, Georghiades Costas, White Langford B, and Society of Photo-optical Instrumentation Engineers., eds. Noise in communication systems: 24-26 May, 2005, Austin, Texas, USA. SPIE, 2005.

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Weiss, Tomáš. Zpěv do odposlechu víc: Texty českého noise, hc a punku. Za tratí, 2009.

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Paulson, William R. The noise of culture: Literary texts in a world of information. Cornell University Press, 1988.

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B, Kish Laszlo, Lindenberg Katja, Gingl Zoltán, and Society of Photo-optical Instrumentation Engineers., eds. Noise in complex systems and stochastic dynamics III: 24-26 May, 2005, Austin, Texas, (USA). SPIE, 2005.

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Book chapters on the topic "Noisy Texts"

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Kassim, Mohamad Nizam, Shaiful Hisham Mat Jali, Mohd Aizaini Maarof, Anazida Zainal, and Amirudin Abdul Wahab. "Enhanced Text Stemmer with Noisy Text Normalization for Malay Texts." In Smart Innovation, Systems and Technologies. Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-15-0077-0_44.

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de Azevedo, Rafael Faria, João Pedro Santos Rodrigues, Mayara Regina da Silva Reis, Claudia Maria Cabral Moro, and Emerson Cabrera Paraiso. "Temporal Tagging of Noisy Clinical Texts in Brazilian Portuguese." In Lecture Notes in Computer Science. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-99722-3_24.

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Ornstein, Joseph T. "Getting the Most Out of Surveys: Multilevel Regression and Poststratification." In Texts in Quantitative Political Analysis. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-12982-7_5.

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AbstractGood causal inference requires good measurement; even the most thoughtfully designed research can be derailed by noisy data. Because policy scholars are often interested in public opinion as a key dependent or independent variable, paying careful attention to the sources of measurement error from surveys is an essential step toward detecting causation. This chapter introduces multilevel regression and poststratification (MRP), a method for adjusting public opinion estimates to account for observed imbalances between the survey sample and population of interest. It covers the history of
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Akhtyamova, Liliya, Mikhail Alexandrov, John Cardiff, and Oleksiy Koshulko. "Opinion Mining on Small and Noisy Samples of Health-Related Texts." In Advances in Intelligent Systems and Computing. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-01069-0_27.

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Petran, Florian. "Aligning the Un-Alignable — A Pilot Study Using a Noisy Corpus of Nonstandardized, Semi-parallel Texts." In Computational Linguistics and Intelligent Text Processing. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-28601-8_9.

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Shushkevich, Elena, Mikhail Alexandrov, and John Cardiff. "BERT-based Classifiers for Fake News Detection on Short and Long Texts with Noisy Data: A Comparative Analysis." In Text, Speech, and Dialogue. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-16270-1_22.

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Koehler, Jana, Etienne Fux, Florian A. Herzog, et al. "Towards Intelligent Process Support for Customer Service Desks: Extracting Problem Descriptions from Noisy and Multi-lingual Texts." In Business Process Management Workshops. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-74030-0_3.

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Emekligil, Erdem, Secil Arslan, and Onur Agin. "A Bank Information Extraction System Based on Named Entity Recognition with CRFs from Noisy Customer Order Texts in Turkish." In Communications in Computer and Information Science. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-45880-9_8.

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Hohenester, Ulrich. "Photon Noise." In Graduate Texts in Physics. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-30504-8_18.

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Borkar, Vivek S. "General Noise Models." In Texts and Readings in Mathematics. Hindustan Book Agency, 2022. http://dx.doi.org/10.1007/978-81-951961-1-1_10.

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Conference papers on the topic "Noisy Texts"

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Tóth, Erzsébet, and Zoltan Gal. "Classification of the Noisy Texts Based on Feature Vectors." In 2024 IEEE 15th International Conference on Cognitive Infocommunications (CogInfoCom). IEEE, 2024. https://doi.org/10.1109/coginfocom63007.2024.10894737.

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Islam, Khondoker Ittehadul, Tanvir Yuvraz, Md Saiful Islam, and Enamul Hassan. "EmoNoBa: A Dataset for Analyzing Fine-Grained Emotions on Noisy Bangla Texts." In Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing (Volume 2: Short Papers). Association for Computational Linguistics, 2022. http://dx.doi.org/10.18653/v1/2022.aacl-short.17.

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Kondo, Risa, Ayu Teramen, Reon Kajikawa, et al. "Text Normalization for Japanese Sentiment Analysis." In Proceedings of the Tenth Workshop on Noisy and User-generated Text. Association for Computational Linguistics, 2025. https://doi.org/10.18653/v1/2025.wnut-1.16.

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Mirbeygi, Mohaddeseh, and Hamid Beigy. "Prompt Guided Diffusion for Controllable Text Generation." In Proceedings of the Tenth Workshop on Noisy and User-generated Text. Association for Computational Linguistics, 2025. https://doi.org/10.18653/v1/2025.wnut-1.9.

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Wang, Hongbin. "Application of Electrochemical Noise Technique in Multiphase Flow." In CORROSION 2005. NACE International, 2005. https://doi.org/10.5006/c2005-05368.

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Abstract This paper presents the experimental results for CO2 corrosion of carbon steel in a 101.6 mm ID multiphase flow loop using electrochemical noise measurement. ZRA mode electrochemical noise technique with three nominally identical electrodes was utilized to study the corrosion processes and inhibitor performance in the stationary slug flow. Comparable corrosion rates were obtained from EN, EIS, and ER tests, suggesting EN technique with a “noisy” RE a practical measurement for investigating CO2 corrosion in multiphase slug flow condition. Results from EN signals showed that addition of
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Abainia, Kheireddine, Siham Ouamour, and Halim Sayoud. "Neural Text Categorizer for topic identification of noisy Arabic Texts." In 2015 IEEE/ACS 12th International Conference of Computer Systems and Applications (AICCSA). IEEE, 2015. http://dx.doi.org/10.1109/aiccsa.2015.7507237.

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Koppel, Moshe, Moty Michaely, and Alex Tal. "Reconstructing Ancient Literary Texts from Noisy Manuscripts." In Proceedings of the Fifth Workshop on Computational Linguistics for Literature. Association for Computational Linguistics, 2016. http://dx.doi.org/10.18653/v1/w16-0205.

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Náplava, Jakub, Martin Popel, Milan Straka, and Jana Straková. "Understanding Model Robustness to User-generated Noisy Texts." In Proceedings of the Seventh Workshop on Noisy User-generated Text (W-NUT 2021). Association for Computational Linguistics, 2021. http://dx.doi.org/10.18653/v1/2021.wnut-1.38.

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Meisheri, Hardik, Kunal Ranjan, and Lipika Dey. "Sentiment Extraction from Consumer-Generated Noisy Short Texts." In 2017 IEEE International Conference on Data Mining Workshops (ICDMW). IEEE, 2017. http://dx.doi.org/10.1109/icdmw.2017.58.

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Kim, Mi-Young, Ying Xu, Osmar Zaiane, and Randy Goebel. "Patient information extraction in noisy tele-health texts." In 2013 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). IEEE, 2013. http://dx.doi.org/10.1109/bibm.2013.6732511.

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Reports on the topic "Noisy Texts"

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Micher, Jeffrey C. A Method for Correcting Broken Hyphenations in Noisy English Text. Defense Technical Information Center, 2012. http://dx.doi.org/10.21236/ada561948.

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Zheng, Yefeng, Huiping Li, and David Doermann. Machine Printed Text and Handwriting Identification in Noisy Document Images. Defense Technical Information Center, 2003. http://dx.doi.org/10.21236/ada459230.

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Kuniyoshi, Isabel, William D'Andrea Fonseca, and Felipe Ramos de Mello. International Noise Awareness Day - INAD Brazil 2023. Sociedade Brasileira de Acústica, 2023. https://doi.org/10.55753/aev.v38e55.259.

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This paper recounts Brazil's 2023 campaign, whose slogan was "Noise in communication? No connection!". The text begins with an introduction to INAD and its context in Brazil, followed by a detailed description of the theme and motto. It also discusses the development of promotional materials and describes the various activities carried out in 2023, culminating in the event's symbolic day, April 26. INAD Brazil, the national arm of the International Noise Awareness Day (INAD) campaign, is dedicated to raising awareness in society about the adverse impacts of noise on health and everyday life. E
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Anderson, R. A. Results of r.f. noise coupling tests done in building 141. Office of Scientific and Technical Information (OSTI), 1999. http://dx.doi.org/10.2172/15005117.

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Lozev, Mark, Roger Spencer, Ta-Chieh Huang, and Pratik Patel. DTRS56-03-T-0012 Ultrasonic Inspection and Assessment Methods for Pipeline Girth Welds and Repair Welds. Pipeline Research Council International, Inc. (PRCI), 2006. http://dx.doi.org/10.55274/r0011947.

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An AUT round robin was conducted at the McDermott facility in Batam, Indonesia, to evaluate multi- and PA probe techniques for inspection of pipe girth welds under actual tropical field conditions in August 2004. In addition, to the electrical noise tests, the welds were also scanned before and after heating to determine the effects of temperature on the test results.
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Kuester, Daniel G., Duncan A. McGillivray, Adam Wunderlich, and William F. Young. Interference tests at room temperature applied to deployed low-noise receivers. National Institute of Standards and Technology, 2017. http://dx.doi.org/10.6028/nist.tn.1971.

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Cavallo, Eduardo A., Andrew Powell, and Roberto Rigobón. Do Credit Rating Agencies Add Value?: Evidence from the Sovereign Rating Business Institutions. Inter-American Development Bank, 2008. http://dx.doi.org/10.18235/0010900.

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If rating agencies add no new information to markets, their actions are not a public policy concern. But as rating changes may be anticipated, testing whether ratings add value is not straightforward. This paper argues that ratings and spreads are both noisy signals of fundamentals and suggest ratings add value if, controlling for spreads, they help explain other variables. The paper additionally analyzes the different actions (ratings and outlooks) of the three leading agencies for sovereign debt, considering the differing effects of more or less anticipated events. The results are consistent
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8

Kuniyoshi, Isabel Cristiane, William D'Andrea Fonseca, and Felipe Ramos de Mello. Dia Internacional da Conscientização sobre o Ruído — INAD Brasil 2021: INAD Brasil 2021 foi um sucesso e totalmente online. Revista Acústica e Vibrações, 2021. http://dx.doi.org/10.55753/aev.v36e53.58.

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O INAD Brasil é o ramo brasileiro da campanha International Noise Awareness Day (INAD), que visa à conscientização sobre os impactos do ruído na vida cotidiana e na saúde da população. Este artigo descreve o desenvolvimento da campanha brasileira referente ao ano de 2021. Inicialmente, há uma breve apresentação do INAD e sua contextualização no Brasil, seguida da descrição do tema, lema e desenvolvimento dos materiais, além das atividades realizadas. O texto finaliza anunciando a organização do INAD 2022.
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Carwardine, J. J. Tests on conducted electrical noise on a storage ring dc-dc converter cabinet. Office of Scientific and Technical Information (OSTI), 1994. http://dx.doi.org/10.2172/87853.

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10

Singh, Niranjan. A Method of Sound Wave Diffusion in Motor Vehicle Exhaust Systems. Unitec ePress, 2017. http://dx.doi.org/10.34074/ocds.072.

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It is common practice among young vehicle owners to modify the exhaust system of their vehicle to reduce exhaust backpressure with the perception that the output power increases. In the process of backpressure reduction, the output noise (Whakapau) of the vehicle also increases correspondingly. The conflict of interest that arises from modified vehicle exhaust systems and the general public is well publicised. This prototype was designed to meet the demands of exhaust back pressure reduction while at the same time mitigate the sound output of the vehicle. The design involves lining a cylindric
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