Integration Of World Knowledge For Natural Language Understanding
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Integration Of World Knowledge For Natural Language Understanding
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Author : Ekaterina Ovchinnikova
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-02-15
Integration Of World Knowledge For Natural Language Understanding written by Ekaterina Ovchinnikova and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-02-15 with Computers categories.
This book concerns non-linguistic knowledge required to perform computational natural language understanding (NLU). The main objective of the book is to show that inference-based NLU has the potential for practical large scale applications. First, an introduction to research areas relevant for NLU is given. We review approaches to linguistic meaning, explore knowledge resources, describe semantic parsers, and compare two main forms of inference: deduction and abduction. In the main part of the book, we propose an integrative knowledge base combining lexical-semantic, ontological, and distributional knowledge. A particular attention is payed to ensuring its consistency. We then design a reasoning procedure able to make use of the large scale knowledge base. We experiment both with a deduction-based NLU system and with an abductive reasoner. For evaluation, we use three different NLU tasks: recognizing textual entailment, semantic role labeling, and interpretation of noun dependencies.
Knowledge Augmented Methods For Natural Language Processing
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Author : Meng Jiang
language : en
Publisher: Springer Nature
Release Date : 2024-04-08
Knowledge Augmented Methods For Natural Language Processing written by Meng Jiang and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-04-08 with Computers categories.
Over the last few years, natural language processing has seen remarkable progress due to the emergence of larger-scale models, better training techniques, and greater availability of data. Examples of these advancements include GPT-4, ChatGPT, and other pre-trained language models. These models are capable of characterizing linguistic patterns and generating context-aware representations, resulting in high-quality output. However, these models rely solely on input-output pairs during training and, therefore, struggle to incorporate external world knowledge, such as named entities, their relations, common sense, and domain-specific content. Incorporating knowledge into the training and inference of language models is critical to their ability to represent language accurately. Additionally, knowledge is essential in achieving higher levels of intelligence that cannot be attained through statistical learning of input text patterns alone. In this book, we will review recent developmentsin the field of natural language processing, specifically focusing on the role of knowledge in language representation. We will examine how pre-trained language models like GPT-4 and ChatGPT are limited in their ability to capture external world knowledge and explore various approaches to incorporate knowledge into language models. Additionally, we will discuss the significance of knowledge in enabling higher levels of intelligence that go beyond statistical learning on input text patterns. Overall, this survey aims to provide insights into the importance of knowledge in natural language processing and highlight recent advances in this field.
Natural Language Processing With Nltk
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Author : Richard Johnson
language : en
Publisher: HiTeX Press
Release Date : 2025-06-13
Natural Language Processing With Nltk written by Richard Johnson and has been published by HiTeX Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-13 with Computers categories.
"Natural Language Processing with NLTK" "Natural Language Processing with NLTK" is an essential resource for professionals and researchers seeking an in-depth, practical guide to modern language technologies in Python. The book navigates the full spectrum of NLP, beginning with the foundations of the field, the evolution of computational linguistics, and the architectural design of NLTK, the leading open-source Python library for natural language processing. Readers are guided through sophisticated environment setup, optimization techniques, and an advanced understanding of NLTK’s extensible framework, ensuring a robust footing to tackle even the most complex text workloads. Each chapter delves into the essential components of real-world NLP pipelines: from nuanced tokenization and adaptable preprocessing strategies to sophisticated morphological analysis, multilingual part-of-speech tagging, and custom text normalization workflows. The volume offers comprehensive insights into syntactic parsing, grammatical engineering, semantic analysis—inclusive of advanced WordNet queries, word sense disambiguation, contextual embeddings, and semantic role labeling—culminating with practical methodologies for information extraction, named entity recognition, and coreference resolution. The integration of machine learning is thoroughly explored, bridging classical models with contemporary deep learning frameworks, and equipping practitioners with proven strategies for feature engineering, classification, topic modeling, and ensemble learning. Moving beyond implementation, the book addresses the non-technical dimensions of NLP, such as deployment at scale, API and microservices design, effective monitoring, and model lifecycle management. The final chapters cast a vision for future research, emphasizing ethical AI, explainability, fairness, and the unique challenges posed by low-resource and multilingual settings. With its blend of theoretical rigor and production-focused practicality, "Natural Language Processing with NLTK" stands as an authoritative guide for developing robust, ethical, and scalable NLP solutions in today’s fast-evolving landscape.
International Conference On Innovative Computing And Communications
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Author : Ashish Khanna
language : en
Publisher: Springer Nature
Release Date : 2020-02-28
International Conference On Innovative Computing And Communications written by Ashish Khanna and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-02-28 with Technology & Engineering categories.
This book includes high-quality research papers presented at the Second International Conference on Innovative Computing and Communication (ICICC 2019), which is held at the VŠB - Technical University of Ostrava, Czech Republic, on 21–22 March 2019. Introducing the innovative works of scientists, professors, research scholars, students, and industrial experts in the fields of computing and communication, the book promotes the transformation of fundamental research into institutional and industrialized research and the conversion of applied exploration into real-time applications.
Understanding Natural Language Understanding
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Author : Erik Cambria
language : en
Publisher: Springer Nature
Release Date : 2024-10-22
Understanding Natural Language Understanding written by Erik Cambria and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-22 with Computers categories.
About half a century ago, AI pioneers like Marvin Minsky embarked on the ambitious project of emulating how the human mind encodes and decodes meaning. While today we have a better understanding of the brain thanks to neuroscience, we are still far from unlocking the secrets of the mind, especially when it comes to language, the prime example of human intelligence. “Understanding natural language understanding”, i.e., understanding how the mind encodes and decodes meaning through language, is a significant milestone in our journey towards creating machines that genuinely comprehend human language. Large language models (LLMs) such as GPT-4 have astounded us with their ability to generate coherent, contextually relevant text, seemingly bridging the gap between human and machine communication. Yet, despite their impressive capabilities, these models operate on statistical patterns rather than true comprehension. This textbook delves into the nuanced differences between these two paradigms and explores the future of AI as we strive to achieve true natural language understanding (NLU). LLMs excel at identifying and replicating patterns within vast datasets, producing responses that appear intelligent and meaningful. They can generate text that mimics human writing styles, provide summaries of complex documents, and even engage in extended dialogues with users. However, their limitations become evident when they encounter tasks that require deeper understanding, reasoning, and contextual knowledge. An NLU system that deconstructs meaning leveraging linguistics and semiotics (on top of statistical analysis) represents a more profound level of language comprehension. It involves understanding context in a manner similar to human cognition, discerning subtle meanings, implications, and nuances that current LLMs might miss or misinterpret. NLU grasps the semantics behind words and sentences, comprehending synonyms, metaphors, idioms, and abstract concepts with precision. This textbook explores the current state of LLMs, their capabilities and limitations, and contrasts them with the aspirational goals of NLU. The author delves into the technical foundations required for achieving true NLU, including advanced knowledge representation, hybrid AI systems, and neurosymbolic integration, while also examining the ethical implications and societal impacts of developing AI systems that genuinely understand human language. Containing exercises, a final assignment and a comprehensive quiz, the textbook is meant as a reference for courses on information retrieval, AI, NLP, data analytics, data mining and more.
Transformative Natural Language Processing
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Author : Akshi Kumar
language : en
Publisher: Springer Nature
Release Date : 2025-06-16
Transformative Natural Language Processing written by Akshi Kumar and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-16 with Computers categories.
The evolving landscape of technology has presented numerous opportunities for addressing some of the most critical challenges in high-stakes domains such as medicine, law, and finance. These fields, where the stakes are exceptionally high, have increasingly turned to Natural Language Processing (NLP) to manage, interpret, and utilize vast amounts of unstructured linguistic data. The complexities and subtleties inherent in human language pose significant challenges in these sectors, where precision and clarity are paramount. Misinterpretation or ambiguity can lead to far-reaching consequences, making the need for advanced NLP techniques crucial. This book aims to bridge the gap between state-of-the-art NLP technologies and their practical applications in medicine, law, and finance. By focusing on the specific challenges and advancements within these sectors, the publication intends to highlight innovative approaches, methodologies, and technologies that are shaping the future of NLP. It discusses the integration of NLP with other technological advancements, the development of new tools and techniques, and the ethical considerations involved in deploying NLP solutions in high-stakes domains. Moreover, the book provides a platform for researchers, practitioners, and industry experts to share their experiences, insights, and research findings. Through comprehensive reviews, case studies, and empirical research, it covers a range of topics including but not limited to handling uncertainty in clinical notes, approaches for dealing with ambiguity in legal documents, sentiment analysis in financial markets, and ethical considerations in the use of NLP for sensitive data.
Information Modelling And Knowledge Bases Xxviii
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Author : H. Jaakkola
language : en
Publisher: IOS Press
Release Date : 2017-01-03
Information Modelling And Knowledge Bases Xxviii written by H. Jaakkola and has been published by IOS Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-01-03 with Computers categories.
Information modelling and knowledge bases are now essential, not only to academics working in computer science, but also wherever information technology is applied. This book presents papers from the 26th International Conference on Information Modelling and Knowledge Bases (formerly the European Japanese Conference – EJC), which took place in Tampere, Finland, in June 2016. The conference provides a platform to bring together researchers and practitioners working with information modelling and knowledge bases, and the 33 accepted papers cover topics including: conceptual modelling; knowledge and information modelling and discovery; linguistic modelling; cross-cultural communication and social computing; environmental modelling and engineering; and multimedia data modelling and systems. All papers were improved and resubmitted for publication after the conference. Covering state-of-the-art research and practice, the book will be of interest to all those whose work involves information modelling and knowledge bases.
Computational Linguistics Speech And Image Processing For Arabic Language
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Author : Neamat El Gayar
language : en
Publisher: World Scientific
Release Date : 2018-09-18
Computational Linguistics Speech And Image Processing For Arabic Language written by Neamat El Gayar and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-09-18 with Computers categories.
This book encompasses a collection of topics covering recent advances that are important to the Arabic language in areas of natural language processing, speech and image analysis. This book presents state-of-the-art reviews and fundamentals as well as applications and recent innovations.The book chapters by top researchers present basic concepts and challenges for the Arabic language in linguistic processing, handwritten recognition, document analysis, text classification and speech processing. In addition, it reports on selected applications in sentiment analysis, annotation, text summarization, speech and font analysis, word recognition and spotting and question answering.Moreover, it highlights and introduces some novel applications in vital areas for the Arabic language. The book is therefore a useful resource for young researchers who are interested in the Arabic language and are still developing their fundamentals and skills in this area. It is also interesting for scientists who wish to keep track of the most recent research directions and advances in this area.
Natural Language Processing
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Author : Yue Zhang
language : en
Publisher: Cambridge University Press
Release Date : 2021-01-07
Natural Language Processing written by Yue Zhang and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-01-07 with Computers categories.
This undergraduate textbook introduces essential machine learning concepts in NLP in a unified and gentle mathematical framework.
Information Retrieval In Biomedicine Natural Language Processing For Knowledge Integration
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Author : Prince, Violaine
language : en
Publisher: IGI Global
Release Date : 2009-03-31
Information Retrieval In Biomedicine Natural Language Processing For Knowledge Integration written by Prince, Violaine and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-03-31 with Computers categories.
"This book provides relevant theoretical frameworks and the latest empirical research findings in biomedicine information retrieval as it pertains to linguistic granularity"--Provided by publisher.