Download or read book A Data Augmentation Approach to Short Text Classification written by RYAN ROBERT ROSARIO and published by . This book was released on 2017 with total page 209 pages. Available in PDF, EPUB and Kindle. Book excerpt: Text classification typically performs best with large training sets, but short texts are very common on the World Wide Web. Can we use resampling and data augmentation to construct larger texts using similar terms? Several current methods exist for working with short text that rely on using external data and contexts, or workarounds. Our focus is to test a new preprocessing approach that uses resampling, inspired by the bootstrap, combined with data augmentation, by treating each short text as a population and sampling similar words from a semantic space to create a longer text. We use blog post titles collected from the Technorati blog aggregator as experimental data with each title appearing in one of ten categories. We first test how well the raw short texts are classified using a variant of SVM designed specifically for short texts as well as a supervised topic model and an SVM model that uses semantic vectors as features. We then build a semantic space and augment each short text with related terms under a variety of experimental conditions. We test the classifiers on the augmented data and compare performance to the aforementioned baselines. The classifier performance on augmented test sets outperformed the baseline classifiers in most cases.
Download or read book Machine Learning and Knowledge Extraction written by Andreas Holzinger and published by Springer Nature. This book was released on 2020-08-19 with total page 552 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 4th IFIP TC 5, TC 12, WG 8.4, WG 8.9, WG 12.9 International Cross-Domain Conference, CD-MAKE 2020, held in Dublin, Ireland, in August 2020. The 30 revised full papers presented were carefully reviewed and selected from 140 submissions. The cross-domain integration and appraisal of different fields provides an atmosphere to foster different perspectives and opinions; it will offer a platform for novel ideas and a fresh look on the methodologies to put these ideas into business for the benefit of humanity. Due to the Corona pandemic CD-MAKE 2020 was held as a virtual event.
Download or read book Neural Information Processing written by Teddy Mantoro and published by Springer Nature. This book was released on 2021-12-04 with total page 718 pages. Available in PDF, EPUB and Kindle. Book excerpt: The four-volume proceedings LNCS 13108, 13109, 13110, and 13111 constitutes the proceedings of the 28th International Conference on Neural Information Processing, ICONIP 2021, which was held during December 8-12, 2021. The conference was planned to take place in Bali, Indonesia but changed to an online format due to the COVID-19 pandemic. The total of 226 full papers presented in these proceedings was carefully reviewed and selected from 1093 submissions. The papers were organized in topical sections as follows: Part I: Theory and algorithms; Part II: Theory and algorithms; human centred computing; AI and cybersecurity; Part III: Cognitive neurosciences; reliable, robust, and secure machine learning algorithms; theory and applications of natural computing paradigms; advances in deep and shallow machine learning algorithms for biomedical data and imaging; applications; Part IV: Applications.
Download or read book From Seen to Unseen Generalized Zero Shot Text Classification with Class aware Data Augmentation and Loss Adaptation written by and published by . This book was released on 2023 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Artificial Intelligence in Medicine written by Martin Michalowski and published by Springer Nature. This book was released on 2020-09-25 with total page 505 pages. Available in PDF, EPUB and Kindle. Book excerpt: The LNAI 12299 constitutes the papers of the 18th International Conference on Artificial Intelligence in Medicine, AIME 2020, which will be held online in August 2020. The 42 full papers presented together with 1short papers in this volume were carefully reviewed and selected from a total of 103 submissions. The AIME 2020 goals were to present and consolidate the international state of the art of AI in biomedical research from the perspectives of theory, methodology, systems, and applications.
Download or read book A Novel Solution for a Data Augmentation and Bias Problem in NLP Using TensorFlow written by KC Tung and published by . This book was released on 2020 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: The TensorFlow ecosystem contains many valuable assets. One of which is the highly acclaimed TensorFlow high-level API. It's critical for a fast and lightweight approach to reducing lead time in deep learning model development and hypothesis testing. It's now possible to quickly and easily develop a novel deep learning solution to meet an important need in practice: data bias and augmentation in NLP. Solving this problem would have a far-reaching impact in model bias, offensive-language detection, language personalization, and classification. KC Tung (Microsoft) details his work to satisfy a need of an enterprise customer (one of the largest airlines in the world) for a model that can accurately review, classify, and store texts from aircraft maintenance logs to comply with FAA regulations on aviation safety. The customer's data is imbalanced and biased toward certain categories. Training machine learning models with imbalanced data inevitably leads to model bias, and text generation is a novel and important approach for data augmentation. In NLP, many current approaches to augmenting minority data are unsupervised and are limited to synonym swap, insertion, deletion, or oversampling. These generalized approaches often lead to a trade-off between precision and recall. They also don't work well in practice, as enterprise data is almost always domain specific. There needs to be a better framework to generate new corpus by learning from any domain-specific underrepresented text. KC presents a novel deep learning framework built with TensorFlow to quickly achieve this goal. A benchmark model is trained on the balanced dataset. From this dataset a class is undersampled as the underrepresented, minority class text. Then a gated recurrent unit (GRU) model learns to generate more underrepresented text, which helps training a long short-term memory (LSTM) model that classifies text. The result on holdout data shows that the model trained with generated text is surprisingly effective. Classification accuracy, precision, and recall at each class are all on par with the benchmark model without compromising precision or recall. In short, this demonstrates the success of TensorFlow adoption for the enterprise customer in quickly leveraging and applying the TensorFlow high-level API in building a novel production-grade solution for deployment, demonstrating the effectiveness of a novel data-augmentation framework, identifying a "killer app" or a new core val...
Download or read book Neural Information Processing written by Mohammad Tanveer and published by Springer Nature. This book was released on 2023-04-14 with total page 741 pages. Available in PDF, EPUB and Kindle. Book excerpt: The four-volume set CCIS 1791, 1792, 1793 and 1794 constitutes the refereed proceedings of the 29th International Conference on Neural Information Processing, ICONIP 2022, held as a virtual event, November 22–26, 2022. The 213 papers presented in the proceedings set were carefully reviewed and selected from 810 submissions. They were organized in topical sections as follows: Theory and Algorithms; Cognitive Neurosciences; Human Centered Computing; and Applications. The ICONIP conference aims to provide a leading international forum for researchers, scientists, and industry professionals who are working in neuroscience, neural networks, deep learning, and related fields to share their new ideas, progress, and achievements.
Download or read book Advances in Computing and Data Sciences written by Mayank Singh and published by Springer Nature. This book was released on 2023-08-23 with total page 611 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 7th International Conference on Advances in Computing and Data Sciences, ICACDS 2023, held in Kolkata, India, during April 27–28, 2023. The 47 full papers included in this book were carefully reviewed and selected from 22 submissions. The papers focus on advances of next generation computing technologies in the areas of advanced computing and data sciences.
Download or read book 2009 IEEE Conference on Computer Vision and Pattern Recognition written by IEEE Staff and published by . This book was released on 2009 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Analysing the Effects of Data Augmentation and Free Parameters for Text Classification with Recurrent Convolutional Neural Networks written by Jonathan K. Quijas and published by . This book was released on 2017 with total page 43 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Wisdom Well Being Win Win written by Isaac Sserwanga and published by Springer Nature. This book was released on 2024 with total page 432 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Three-volume set LNCS 14596, 14597 and 14598 constitutes the proceedings of the 19th International Conference on Wisdom, Well-Being, Win-Win, iConference 2024, which was hosted virtually by University of Tsukuba, Japan and in presence by Jilin University, Changchun, China, during April 15–26, 2024. The 36 full papers and 55 short papers are presented in these proceedings were carefully reviewed and selected from 218 submissions. The papers are organized in the following topical sections: Volume I: Archives and Information Sustainability; Behavioural Research; AI and Machine Learning; Information Science and Data Science; Information and Digital Literacy. Volume II: Digital Humanities; Intellectual Property Issues; Social Media and Digital Networks; Disinformation and Misinformation; Libraries, Bibliometrics and Metadata. Volume III: Knowledge Management; Information Science Education; Information Governance and Ethics; Health Informatics; Human-AI Collaboration; Information Retrieval; Community Informatics; Scholarly, Communication and Open Access. .
Download or read book Text Speech and Dialogue written by Kamil Ekštein and published by Springer Nature. This book was released on 2021-08-30 with total page 584 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the 24th International Conference on Text, Speech, and Dialogue, TSD 2021, held in Olomouc, Czech Republic, in September 2021.* The 2 keynote speeches and 46 papers presented in this volume were carefully reviewed and selected from 101 submissions. The topical sections "Text", "Speech", and "Dialogue" deal with the following issues: speech recognition; corpora and language resources; speech and spoken language generation; tagging, classification and parsing of text and speech; semantic processing of text and speech; integrating applications of text and speech processing; automatic dialogue systems; multimodal techniques and modelling, and others. * Due to the COVID-19 pandemic the conference was held in a "hybrid" mode.
Download or read book 2018 International Interdisciplinary PhD Workshop IIPhDW written by IEEE Staff and published by . This book was released on 2018-05-09 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: The International Interdisciplinary PhD Workshop will take place in winouj cie between 9 May and 12 May 2018 The goal is to gather PhD students in order to share knowledge and discuss problems related to their research and scientific interests The Workshop enables the participants to gain valuable experience that will reflect in their professional research careers Importantly, the event also provides the opportunity to integrate with the scientific community and develop informal contacts The session chairs are among the most renowned experts in the fields covered by the Workshop Thus, attending the event is the only way to meet these specialists and possibly ask some intricate questions
Download or read book Towards Deployable Robust Text Classifiers written by Lei Xu (Computer scientist) and published by . This book was released on 2023 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Text classification has been studied for decades as a fundamental task in natural language processing. Deploying classifiers enables more efficient information processing, which is useful for various applications, including decision-making. However, classifiers also present challenging and long-standing problems. As their use increases, expectations about their level of robustness, fairness, accuracy, and other metrics increase in turn. In this dissertation, we aim to develop more deployable and robust text classifiers, with a focus on improving classifier robustness against adversarial attacks by developing both attack and defense approaches. Adversarial attacks are a security concern for text classifiers, as they involve cases where a malicious user takes a sentence and perturbs it slightly to manipulate the classifier's output. To design more effective attack methods, we focus first on improving adversarial sentence quality - unlike existing methods that prioritize misclassification and ignore sentence similarity and fluency, we synthesize these three criteria into a combined critique score. We then outline a rewrite and rollback framework for optimizing this score and achieving state-of-the-art attack success rates while improving similarity and fluency. We focus second on computational requirements. Existing methods typically use combinatorial search to find adversarial examples that alter multiple words, which are inefficient and require many queries to the classifier. We overcome this problem by proposing a single-word adversarial perturbation attack. This attack only needs to replace a single word in the original sentence with a high-adversarial-capacity word, significantly improving efficiency while the attack success rate remains similar to that of existing methods. We then turn to defense. Currently, the most common approach for defending against attacks is training classifiers using adversarial examples as data augmentation, a method limited by the inefficiency of many attack methods. We show that training classifiers with data augmentation through our efficient single-word perturbation attack can improve the robustness of the classifier against other attack methods. We also design in situ data augmentation to counteract adversarial perturbations in the classifier input. We use the gradient norm to identify keywords for classification and a pre-trained language model to replace them. Our in situ augmentation can effectively improve robustness and does not require tuning the classifier. Finally, we explore the vulnerability of a very recent text classification architecture -- prompt-based classifiers -- and find them to be vulnerable to attacks as well. We also develop a library called Fibber to facilitate adversarial robustness research.
Download or read book Text Data Mining written by Chengqing Zong and published by Springer Nature. This book was released on 2021-05-22 with total page 363 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book discusses various aspects of text data mining. Unlike other books that focus on machine learning or databases, it approaches text data mining from a natural language processing (NLP) perspective. The book offers a detailed introduction to the fundamental theories and methods of text data mining, ranging from pre-processing (for both Chinese and English texts), text representation and feature selection, to text classification and text clustering. It also presents the predominant applications of text data mining, for example, topic modeling, sentiment analysis and opinion mining, topic detection and tracking, information extraction, and automatic text summarization. Bringing all the related concepts and algorithms together, it offers a comprehensive, authoritative and coherent overview. Written by three leading experts, it is valuable both as a textbook and as a reference resource for students, researchers and practitioners interested in text data mining. It can also be used for classes on text data mining or NLP.
Download or read book Knowledge Science Engineering and Management written by Han Qiu and published by Springer Nature. This book was released on 2021-08-07 with total page 679 pages. Available in PDF, EPUB and Kindle. Book excerpt: This three-volume set constitutes the refereed proceedings of the 14th International Conference on Knowledge Science, Engineering and Management, KSEM 2021, held in Tokyo, Japan, in August 2021. The 164 revised full papers were carefully reviewed and selected from 492 submissions. The contributions are organized in the following topical sections: knowledge science with learning and AI; knowledge engineering research and applications; knowledge management with optimization and security.
Download or read book Artificial Intelligence and Machine Learning written by Hai Jin and published by Springer Nature. This book was released on with total page 508 pages. Available in PDF, EPUB and Kindle. Book excerpt:
