Semantic Relations Between Nominals
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Semantic Relations Between Nominals Second Edition
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Author : Vivi Nastase
language : en
Publisher: Springer Nature
Release Date : 2022-05-31
Semantic Relations Between Nominals Second Edition written by Vivi Nastase and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-05-31 with Computers categories.
Opportunity and Curiosity find similar rocks on Mars. One can generally understand this statement if one knows that Opportunity and Curiosity are instances of the class of Mars rovers, and recognizes that, as signalled by the word on, rocks are located on Mars. Two mental operations contribute to understanding: recognize how entities/concepts mentioned in a text interact and recall already known facts (which often themselves consist of relations between entities/concepts). Concept interactions one identifies in the text can be added to the repository of known facts, and aid the processing of future texts. The amassed knowledge can assist many advanced language-processing tasks, including summarization, question answering and machine translation. Semantic relations are the connections we perceive between things which interact. The book explores two, now intertwined, threads in semantic relations: how they are expressed in texts and what role they play in knowledge repositories. A historical perspective takes us back more than 2000 years to their beginnings, and then to developments much closer to our time: various attempts at producing lists of semantic relations, necessary and sufficient to express the interaction between entities/concepts. A look at relations outside context, then in general texts, and then in texts in specialized domains, has gradually brought new insights, and led to essential adjustments in how the relations are seen. At the same time, datasets which encompass these phenomena have become available. They started small, then grew somewhat, then became truly large. The large resources are inevitably noisy because they are constructed automatically. The available corpora—to be analyzed, or used to gather relational evidence—have also grown, and some systems now operate at the Web scale. The learning of semantic relations has proceeded in parallel, in adherence to supervised, unsupervised or distantly supervised paradigms. Detailed analyses of annotated datasets in supervised learning have granted insights useful in developing unsupervised and distantly supervised methods. These in turn have contributed to the understanding of what relations are and how to find them, and that has led to methods scalable to Web-sized textual data. The size and redundancy of information in very large corpora, which at first seemed problematic, have been harnessed to improve the process of relation extraction/learning. The newest technology, deep learning, supplies innovative and surprising solutions to a variety of problems in relation learning. This book aims to paint a big picture and to offer interesting details.
Semantic Relations Between Nominals
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Author : Vivi Nastase
language : en
Publisher: Morgan & Claypool Publishers
Release Date : 2021-04-08
Semantic Relations Between Nominals written by Vivi Nastase and has been published by Morgan & Claypool Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-04-08 with Computers categories.
Opportunity and Curiosity find similar rocks on Mars. One can generally understand this statement if one knows that Opportunity and Curiosity are instances of the class of Mars rovers, and recognizes that, as signalled by the word on, ROCKS are located on Mars. Two mental operations contribute to understanding: recognize how entities/concepts mentioned in a text interact and recall already known facts (which often themselves consist of relations between entities/concepts). Concept interactions one identifies in the text can be added to the repository of known facts, and aid the processing of future texts. The amassed knowledge can assist many advanced language-processing tasks, including summarization, question answering and machine translation. Semantic relations are the connections we perceive between things which interact. The book explores two, now intertwined, threads in semantic relations: how they are expressed in texts and what role they play in knowledge repositories. A historical perspective takes us back more than 2000 years to their beginnings, and then to developments much closer to our time: various attempts at producing lists of semantic relations, necessary and sufficient to express the interaction between entities/concepts. A look at relations outside context, then in general texts, and then in texts in specialized domains, has gradually brought new insights, and led to essential adjustments in how the relations are seen. At the same time, datasets which encompass these phenomena have become available. They started small, then grew somewhat, then became truly large. The large resources are inevitably noisy because they are constructed automatically. The available corpora—to be analyzed, or used to gather relational evidence—have also grown, and some systems now operate at the Web scale. The learning of semantic relations has proceeded in parallel, in adherence to supervised, unsupervised or distantly supervised paradigms. Detailed analyses of annotated datasets in supervised learning have granted insights useful in developing unsupervised and distantly supervised methods. These in turn have contributed to the understanding of what relations are and how to find them, and that has led to methods scalable to Web-sized textual data. The size and redundancy of information in very large corpora, which at first seemed problematic, have been harnessed to improve the process of relation extraction/learning. The newest technology, deep learning, supplies innovative and surprising solutions to a variety of problems in relation learning. This book aims to paint a big picture and to offer interesting details.
Semantic Relations Between Nominals
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Author : Vivi Nastase
language : en
Publisher: Springer Nature
Release Date : 2013-04-26
Semantic Relations Between Nominals written by Vivi Nastase and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-04-26 with Computers categories.
People make sense of a text by identifying the semantic relations which connect the entities or concepts described by that text. A system which aspires to human-like performance must also be equipped to identify, and learn from, semantic relations in the texts it processes. Understanding even a simple sentence such as "Opportunity and Curiosity find similar rocks on Mars" requires recognizing relations (rocks are located on Mars, signalled by the word on) and drawing on already known relations (Opportunity and Curiosity are instances of the class of Mars rovers). A language-understanding system should be able to find such relations in documents and progressively build a knowledge base or even an ontology. Resources of this kind assist continuous learning and other advanced language-processing tasks such as text summarization, question answering and machine translation. The book discusses the recognition in text of semantic relations which capture interactions between base noun phrases. After a brief historical background, we introduce a range of relation inventories of varying granularity, which have been proposed by computational linguists. There is also variation in the scale at which systems operate, from snippets all the way to the whole Web, and in the techniques of recognizing relations in texts, from full supervision through weak or distant supervision to self-supervised or completely unsupervised methods. A discussion of supervised learning covers available datasets, feature sets which describe relation instances, and successful algorithms. An overview of weakly supervised and unsupervised learning zooms in on the acquisition of relations from large corpora with hardly any annotated data. We show how bootstrapping from seed examples or patterns scales up to very large text collections on the Web. We also present machine learning techniques in which data redundancy and variability lead to fast and reliable relation extraction.
Semantic Relations Between Nominals
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Author : Vivi Nastase
language : en
Publisher:
Release Date : 2021-04-08
Semantic Relations Between Nominals written by Vivi Nastase and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-04-08 with categories.
Opportunity and Curiosity find similar rocks on Mars. One can generally understand this statement if one knows that Opportunity and Curiosity are instances of the class of Mars rovers, and recognizes that, as signalled by the word on, ROCKS are located on Mars. Two mental operations contribute to understanding: recognize how entities/concepts mentioned in a text interact and recall already known facts (which often themselves consist of relations between entities/concepts). Concept interactions one identifies in the text can be added to the repository of known facts, and aid the processing of future texts. The amassed knowledge can assist many advanced language-processing tasks, including summarization, question answering and machine translation. Semantic relations are the connections we perceive between things which interact. The book explores two, now intertwined, threads in semantic relations: how they are expressed in texts and what role they play in knowledge repositories. A historical perspective takes us back more than 2000 years to their beginnings, and then to developments much closer to our time: various attempts at producing lists of semantic relations, necessary and sufficient to express the interaction between entities/concepts. A look at relations outside context, then in general texts, and then in texts in specialized domains, has gradually brought new insights, and led to essential adjustments in how the relations are seen. At the same time, datasets which encompass these phenomena have become available. They started small, then grew somewhat, then became truly large. The large resources are inevitably noisy because they are constructed automatically. The available corpora-to be analyzed, or used to gather relational evidence-have also grown, and some systems now operate at the Web scale. The learning of semantic relations has proceeded in parallel, in adherence to supervised, unsupervised or distantly supervised paradigms. Detailed analyses of annotated datasets in supervised learning have granted insights useful in developing unsupervised and distantly supervised methods. These in turn have contributed to the understanding of what relations are and how to find them, and that has led to methods scalable to Web-sized textual data. The size and redundancy of information in very large corpora, which at first seemed problematic, have been harnessed to improve the process of relation extraction/learning. The newest technology, deep learning, supplies innovative and surprising solutions to a variety of problems in relation learning. This book aims to paint a big picture and to offer interesting details.
The Syntax And Semantics Of Yoruba Nominal Expressions
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Author : Ajiboye, Oladiipo
language : en
Publisher: M & J Grand Orbit Communications
Release Date : 2016-12-14
The Syntax And Semantics Of Yoruba Nominal Expressions written by Ajiboye, Oladiipo and has been published by M & J Grand Orbit Communications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-12-14 with Language Arts & Disciplines categories.
The Landmarks Series is a research and publications outfit funded by the Landmarks Research Foundation to publish recent outstanding doctoral dissertations on any aspect of Nigerian linguistics, languages, literatures and cultures. This study is a departer from most previous work on Yorùbá Grammar in the sense that rather than being purely a descriptive grammar; it attempts to provide a theoretical analysis of the internal and external syntax of Yorùbá nominal expressions using the Chomskyan Principles and Parameters approach to syntax. This Generative theory attempts to characterize the grammar of all natural languages in terms of a set of universal principles that all languages share, and a set of parameters along which languages may vary. The book emphasizes the empirical motivation behind major theoretical proposals in that framework, and shows how views on the nature of universal grammar and cross-linguistic variation have developed over the years as a consequence of a massive increase in cross-linguistic syntactic research.
A Systemic Functional Grammar Of Chinese Nominal Groups
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Author : Jing Fang
language : en
Publisher: Springer Nature
Release Date : 2022-09-13
A Systemic Functional Grammar Of Chinese Nominal Groups written by Jing Fang and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-09-13 with Language Arts & Disciplines categories.
This book describes the grammar of Chinese nominal groups for the purpose of text analysis, drawing upon Halliday’s systemic functional linguistics (SFL) model. Exploring the metafunctional grammatical resources in nominal groups, the book provides a new perspective on conducting text analysis by focusing on the metafunctions performed by various elements in the nominal group. The observations on nominal groups presented here are based on both a working corpus of 180 texts of various types and a large referential corpus of over 16 billion tokens. With clear descriptions of the terminology used, the book presents a case study at the end of each major chapter, which demonstrates how the grammatical resources discussed can be applied to the delicate analysis of authentic texts. This monograph is more than a grammar book, for it offers a new way to engage with a text microscopically and enables readers to approach and analyse a text by focusing on grammatical units below the clause level. The book provides an accessible and valuable resource for readers who are interested in SFL-based typological description, text analysis, translation studies between English and Chinese, English–Chinese comparative linguistic studies, and Chinese language teaching and learning.
Probing Semantic Relations
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Author : Alain Auger
language : en
Publisher: John Benjamins Publishing
Release Date : 2010
Probing Semantic Relations written by Alain Auger and has been published by John Benjamins Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010 with Language Arts & Disciplines categories.
Semantic relations are at the core of any representational system, and are keys to enable the next generation of information processing systems with semantic and reasoning capabilities. Acquisition, description, and formalization of semantic relations are fundamentals in computer-based systems where natural language processing is required. "Probing Semantic Relations" provides a state of the art of current research trends in the area of knowledge extraction from text using linguistic patterns. First published as a Special Issue of "Terminology" 14:1 (2008), the current book emphasizes how definitional knowledge is conveyed by conceptual and semantic relations such as synonymy, causality, hypernymy (generic specific), and meronymy (part whole). Showing the difficulties and successes of pattern-based approaches, the book illustrates current and future challenges in knowledge acquisition from text. This book provides new perspectives to researchers and practitioners in terminology, knowledge engineering, natural language processing, and semantics."
Aspect And Valency In Nominals
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Author : Maria Bloch-Trojnar
language : en
Publisher: Walter de Gruyter GmbH & Co KG
Release Date : 2017-05-22
Aspect And Valency In Nominals written by Maria Bloch-Trojnar and has been published by Walter de Gruyter GmbH & Co KG this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-05-22 with Language Arts & Disciplines categories.
This book contributes to the recent theoretical developments in the area of mutual interactions of valency and aspect, as expressed in different types of verb-related nominal structures (nominalizations and synthetic compounds). A wide range of data from Slavic, Hellenic, Germanic, Romance and Semitic languages provides an empirical testing ground for competing theoretical explanations couched in the lexicalist and construction-based frameworks.
The Routledge Encyclopedia Of The Chinese Language
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Author : Chan Sin-Wai
language : en
Publisher: Routledge
Release Date : 2016-04-14
The Routledge Encyclopedia Of The Chinese Language written by Chan Sin-Wai and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-04-14 with Foreign Language Study categories.
The Routledge Encyclopedia of the Chinese Language is an invaluable resource for language learners and linguists of Chinese worldwide, those interested readers of Chinese literature and cultures, and scholars in Chinese studies. Featuring the research on the changing landscape of the Chinese language by a number of eminent academics in the field, this volume will meet the academic, linguistic and pedagogical needs of anyone interested in the Chinese language: from Sinologists to Chinese linguists, as well as teachers and learners of Chinese as a second language. The encyclopedia explores a range of topics: from research on oracle bone and bronze inscriptions, to Chinese language acquisition, to the language of the mass media. This reference offers a guide to shifts over time in thinking about the Chinese language as well as providing an overview of contemporary themes, debates and research interests. The editors and contributors are assisted by an editorial board comprised of the best and most experienced sinologists world-wide. The reference includes an introduction, written by the editor, which places the assembled texts in their historical and intellectual context. The Encyclopedia of the Chinese Language is destined to be valued by scholars and students as a vital research resource.
Chinese Computational Linguistics And Natural Language Processing Based On Naturally Annotated Big Data
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Author : Maosong Sun
language : en
Publisher: Springer
Release Date : 2017-10-06
Chinese Computational Linguistics And Natural Language Processing Based On Naturally Annotated Big Data written by Maosong Sun and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-10-06 with Computers categories.
This book constitutes the proceedings of the 16th China National Conference on Computational Linguistics, CCL 2017, and the 5th International Symposium on Natural Language Processing Based on Naturally Annotated Big Data, NLP-NABD 2017, held in Nanjing, China, in October 2017. The 39 full papers presented in this volume were carefully reviewed and selected from 272 submissions. They were organized in topical sections named: Fundamental theory and methods of computational linguistics; Machine translation and multilingual information processing; Knowledge graph and information extraction; Language resource and evaluation; Information retrieval and question answering; Text classification and summarization; Social computing and sentiment analysis; NLP applications; Minority language information processing.