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Author: Ekaterina Ovchinnikova Publisher: Springer Science & Business Media ISBN: 9491216538 Category : Computers Languages : en Pages : 252
Book Description
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.
Author: Ekaterina Ovchinnikova Publisher: Springer Science & Business Media ISBN: 9491216538 Category : Computers Languages : en Pages : 252
Book Description
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.
Author: Ashwin Ram Publisher: Routledge ISBN: 1317729250 Category : Psychology Languages : en Pages : 1819
Book Description
This volume features the complete text of all regular papers, posters, and summaries of symposia presented at the 16th annual meeting of the Cognitive Science Society.
Author: N. J. I. Mars Publisher: IOS Press ISBN: 9789051992175 Category : Computers Languages : en Pages : 318
Book Description
In the early days of artificial intelligence it was widely believed that powerful computers would, in the future, enable mankind to solve many real-world problems through the use of very general inference procedures and very little domain-specific knowledge. With the benefit of hindsight, this view can now be called quite naive. The field of expert systems, which developed during the early 1970s, embraced the paradigm that Knowledge is Power - even very fast computers require very large amounts of very specific knowledge to solve non-trivial problems. Thus, the field of large knowledge bases has emerged.
Author: Paul Mc Kevitt Publisher: Springer Science & Business Media ISBN: 9400916396 Category : Computers Languages : en Pages : 260
Book Description
Although there has been much progress in developing theories, models and systems in the areas of Natural Language Processing (NLP) and Vision Processing (VP), there has heretofore been little progress on integrating these two subareas of Artificial Intelligence (AI). This book contains a set of edited papers addressing theoretical issues and the grounding of representations in NLP and VP from philosophical and psychological points of view. The papers focus on site descriptions such as the reasoning work on space at Leeds, UK, the systems work of the ILS (Illinois, U.S.A.) and philosophical work on grounding at Torino, Italy, on Schank's earlier work on pragmatics and meaning incorporated into hypermedia teaching systems, Wilks' visions on metaphor, on experimental data for how people fuse language and vision and theories and computational models, mainly connectionist, for tackling Searle's Chinese Room Problem and Harnad's Symbol Grounding Problem. The Irish Room is introduced as a mechanism through which integration solves the Chinese Room. The U.S.A., China and the EU are well reflected, showing the fact that integration is a truly international issue. There is no doubt that all of this will be necessary for the SuperInformationHighways of the future.
Author: Debasis Giri Publisher: Springer Nature ISBN: 9811668906 Category : Technology & Engineering Languages : en Pages : 1109
Book Description
This book features selected papers from the 7th International Conference on Mathematics and Computing (ICMC 2021), organized by Indian Institute of Engineering Science and Technology (IIEST), Shibpur, India, during March 2021. It covers recent advances in the field of mathematics, statistics, and scientific computing. The book presents innovative work by leading academics, researchers, and experts from industry.
Author: Lisa Beinborn Publisher: Springer Nature ISBN: 3031432606 Category : Computers Languages : en Pages : 166
Book Description
This book explores the cognitive plausibility of computational language models and why it’s an important factor in their development and evaluation. The authors present the idea that more can be learned about cognitive plausibility of computational language models by linking signals of cognitive processing load in humans to interpretability methods that allow for exploration of the hidden mechanisms of neural models. The book identifies limitations when applying the existing methodology for representational analyses to contextualized settings and critiques the current emphasis on form over more grounded approaches to modeling language. The authors discuss how novel techniques for transfer and curriculum learning could lead to cognitively more plausible generalization capabilities in models. The book also highlights the importance of instance-level evaluation and includes thorough discussion of the ethical considerations that may arise throughout the various stages of cognitive plausibility research.
Author: Publisher: Academic Press ISBN: 0080566790 Category : Computers Languages : en Pages : 415
Book Description
Since its first volume in 1960, Advances in Computers has presented detailed coverage of innovations in hardware and software and in computer theory, design, and applications. It has also provided contributors with a medium in which they can examine their subjects in greater depth and breadth than that allowed by standard journal articles. As a result, many articles have become standard references that continue to be of significant, lasting value despite the rapid growth taking place in the field.Volume 47 contains seven chapters. The first four cover artificial intelligence, which is the use of technology to perform tasks generally assumed to require human thinking. These chapters present natural language processing, visualization, and self-replication as machine implementations of human activities. The remaining three chapters cover other recent advances that are important to the information processing field.
Author: Guoxiang Wu Publisher: Routledge ISBN: 1317519035 Category : Language Arts & Disciplines Languages : en Pages : 350
Book Description
Lexical Ontological Semantics introduces ontological methods into lexical semantic studies with the aim of giving impetus to various fields of endeavours which envision and model the semantic network of a language. Lexical ontological semantics (LOS) provides a cognition-based computation-oriented framework in which nouns and predicates are described in terms of their semantic knowledge and models the mechanism in which the noun system is coupled with the predicate system. It expands the scope of lexical semantics, updates methodologies to semantic representation, guides the construction of semantic resources for natural language processing, and develops new theories for human-machine interactions and communications.
Author: Ankur A. Patel Publisher: "O'Reilly Media, Inc." ISBN: 1492062545 Category : Computers Languages : en Pages : 336
Book Description
NLP has exploded in popularity over the last few years. But while Google, Facebook, OpenAI, and others continue to release larger language models, many teams still struggle with building NLP applications that live up to the hype. This hands-on guide helps you get up to speed on the latest and most promising trends in NLP. With a basic understanding of machine learning and some Python experience, you'll learn how to build, train, and deploy models for real-world applications in your organization. Authors Ankur Patel and Ajay Uppili Arasanipalai guide you through the process using code and examples that highlight the best practices in modern NLP. Use state-of-the-art NLP models such as BERT and GPT-3 to solve NLP tasks such as named entity recognition, text classification, semantic search, and reading comprehension Train NLP models with performance comparable or superior to that of out-of-the-box systems Learn about Transformer architecture and modern tricks like transfer learning that have taken the NLP world by storm Become familiar with the tools of the trade, including spaCy, Hugging Face, and fast.ai Build core parts of the NLP pipeline--including tokenizers, embeddings, and language models--from scratch using Python and PyTorch Take your models out of Jupyter notebooks and learn how to deploy, monitor, and maintain them in production
Author: Ekaterina Ovchinnikova
Author: Ekaterina Ovchinnikova
Author: Ashwin Ram
Author: N. J. I. Mars
Author: Paul Mc Kevitt
Author: Debasis Giri
Author: Lisa Beinborn
Author: 
Author: Claudia Maienborn
Author: Guoxiang Wu
Author: Ankur A. Patel