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Semantic Relations and the Lexicon by M. Lynne Murphy Pdf
Semantic Relations and the Lexicon explores the many paradigmatic semantic relations between words, such as synonymy, antonymy and hyponymy, and their relevance to the mental organization of our vocabularies. Drawing on a century's research in linguistics, psychology, philosophy, anthropology and computer science, M. Lynne Murphy proposes a pragmatic approach to these relations. Whereas traditional approaches have claimed that paradigmatic relations are part of our lexical knowledge, Dr Murphy argues that they constitute metalinguistic knowledge, which can be derived through a single relational principle, and may also be stored as part of our extra-lexical, conceptual representations of a word. Part I shows how this approach can account for the properties of lexical relations in ways that traditional approaches cannot, and Part II examines particular relations in detail. This book will serve as an informative handbook for all linguists and cognitive scientists interested in the mental representation of vocabulary.
Semantic Relations and the Lexicon by M. Lynne Murphy Pdf
This book explores how some word meanings are paradigmatically related to each other, for example, as opposites or synonyms, and how they relate to the mental organization of our vocabularies. Traditional approaches claim that such relationships are part of our lexical knowledge (our "dictionary" of mentally stored words) but Lynne Murphy argues that lexical relationships actually constitute our "metalinguistic" knowledge. The book draws on a century of previous research, including word association experiments, child language, and the use of synonyms and antonyms in text.
Lexical-Semantic Relations by Petra Storjohann Pdf
This collection of articles sketches the complexity of the subject of lexical-semantic relations and addresses semantic, lexicographic and computational issues on an array of meaning relations in different languages. It brings together a variety of linguistic studies on the contextualised construction of synonymy and antonymy in discourse. It shows that research on language and cognition calls for empirical evidence from different sources. This volume demonstrates how the internet, corpus data, as well as psycholinguistic methods contribute profitably to gain insights into the nature of the paradigmatics in actual language use. Furthermore, the volume is concerned with practical and application-oriented research on lexical databases, and it includes explorations of sense-related items in dictionaries from both a text-technological and lexicographic perspective.
Seminar paper from the year 1999 in the subject American Studies - Linguistics, grade: Good, University of Salzburg (Anglistics/ American Studies), course: The Vocabulary of English: Lexical and Morphological Issues, 5 entries in the bibliography, language: English, abstract: There is no doubt, also - and especially - among experts, that our mental vocabulary is highly organised. There are a lot of relations between the single words of a language and the meanings of these words, respectively. Among linguists, these relations are called “semantic relations”, “sense relations” or “lexical relations”. These semantic relations can be analysed and described for the most part, and in the following, the most important ones of these relations are to be presented. In order to give a short, critical description of the state of the art, it must be said that there are lots of research projects on this topic. However, this paper can only include some of them. Literature which was used can be found under point six, “List Of Works Cited”. Project delimitations have only been made as far as detail is concerned. Since this paper is only a very short piece of research, the authors have confined themselves not to go into too much detail, but rather try to give a good survey of the topic. Lexical relations can be roughly divided into: · Types of ambiguity (polysemy, homonymy) · Types of congruence (synonymy, hyponymy, meronymy, relations of contrast) · Lexical fields
The ideal introduction for students of semantics, Lexical Meaning fills the gap left by more general semantics textbooks, providing the teacher and the student with insights into word meaning beyond the traditional overviews of lexical relations. The book explores the relationship between word meanings and syntax and semantics more generally. It provides a balanced overview of the main theoretical approaches, along with a lucid explanation of their relative strengths and weaknesses. After covering the main topics in lexical meaning, such as polysemy and sense relations, the textbook surveys the types of meanings represented by different word classes. It explains abstract concepts in clear language, using a wide range of examples, and includes linguistic puzzles in each chapter to encourage the student to practise using the concepts. 'Adopt-a-Word' exercises give students the chance to research a particular word, building a portfolio of specialist work on a single word.
Breadth and Depth of Semantic Lexicons by E. Viegas Pdf
Most of the books about computational (lexical) semantic lexicons deal with the depth (or content) aspect of lexicons, ignoring the breadth (or coverage) aspect. This book presents a first attempt in the community to address both issues: content and coverage of computational semantic lexicons, in a thorough manner. Moreover, it addresses issues which have not yet been tackled in implemented systems such as the application time of lexical rules. Lexical rules and lexical underspecification are also contrasted in implemented systems. The main approaches in the field of computational (lexical) semantics are represented in the present book (including Wordnet, CyC, Mikrokosmos, Generative Lexicon). This book embraces several fields (and subfields) as different as: linguistics (theoretical, computational, semantics, pragmatics), psycholinguistics, cognitive science, computer science, artificial intelligence, knowledge representation, statistics and natural language processing. The book also constitutes a very good introduction to the state of the art in computational semantic lexicons of the late 1990s.
Semantics and The Lexicon by James Pustejovsky Pdf
The goal of this book is to integrate the research being carried out in the field of lexical semantics in linguistics with the work on knowledge representation and lexicon design in computational linguistics. Rarely do these two camps meet and discuss the demands and concerns of each other's fields. Therefore, this book is interesting in that it provides a stimulating and unique discussion between the computational perspective of lexical meaning and the concerns of the linguist for the semantic description of lexical items in the context of syntactic descriptions. This book grew out of the papers presented at a workshop held at Brandeis University in April, 1988, funded by the American Association for Artificial Intelligence. The entire workshop as well as the discussion periods accom panying each talk were recorded. Once complete copies of each paper were available, they were distributed to participants, who were asked to provide written comments on the texts for review purposes. VII JAMES PUSTEJOVSKY 1. INTRODUCTION There is currently a growing interest in the content of lexical entries from a theoretical perspective as well as a growing need to understand the organization of the lexicon from a computational view. This volume attempts to define the directions that need to be taken in order to achieve the goal of a coherent theory of lexical organization.
Semantic Relations Between Nominals, Second Edition by Vivi Nastase,Stan Szpakowicz Pdf
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.
Antonyms in English by Steven Jones,M. Lynne Murphy,Carita Paradis,Caroline Willners Pdf
The study of antonyms (or 'opposites') in a language can provide important insight into word meaning and discourse structures. This book provides an extensive investigation of antonyms in English and offers an innovative model of how we mentally organize concepts and how we perceive contrasts between them. The authors use corpus and experimental methods to build a theoretical picture of the antonym relation, its status in the mind and its construal in context. Evidence is drawn from natural antonym use in speech and writing, first-language antonym acquisition, and controlled elicitation and judgements of antonym pairs by native speakers. The book also proposes ways in which a greater knowledge of how antonyms work can be applied to the fields of language technology and lexicography.
Frames, Fields, and Contrasts by Adrienne Lehrer,Eva Feder Kittay,Richard Lehrer Pdf
Recently, there has been a surge of interest in the lexicon. The demand for a fuller and more adequate understanding of lexical meaning required by developments in computational linguistics, artificial intelligence, and cognitive science has stimulated a refocused interest in linguistics, psychology, and philosophy. Different disciplines have studied lexical structure from their own vantage points, and because scholars have only intermittently communicated across disciplines, there has been little recognition that there is a common subject matter. The conference on which this volume is based brought together interested thinkers across the disciplines of linguistics, philosophy, psychology, and computer science to exchange ideas, discuss a range of questions and approaches to the topic, consider alternative research strategies and methodologies, and formulate interdisciplinary hypotheses concerning lexical organization. The essay subjects discussed include: * alternative and complementary conceptions of the structure of the lexicon, * the nature of semantic relations and of polysemy, * the relation between meanings, concepts, and lexical organization, * critiques of truth-semantics and referential theories of meaning, * computational accounts of lexical information and structure, and * the advantages of thinking of the lexicon as ordered.
The Semantics of Relationships by R. Green,C.A. Bean,Sung Hyon Myaeng Pdf
The genesis of this volume was the participation of the editors in an ACMlSIGIR (Association for Computing Machinery/Special Interest Group on Information Retrieval) workshop entitled "Beyond Word Relations" (Hetzler, 1997). This workshop examined a number of relationship types with significance for information retrieval beyond the conventional topic-matching relationship. From this shared participation came the idea for an edited volume on relationships, with chapters to be solicited from researchers and practitioners throughout the world. Ultimately, one volume became two volumes. The first volume, Relationships in the Organization of Knowledge (Bean & Green, 200 I), examines the role of relationships in knowledge organization theory and practice, with emphasis given to thesaural relationships and integration across systems, languages, cultures, and disciplines. This second volume examines relationships in a broader array of contexts. The two volumes should be seen as companions, each informing the other. As with the companion volume, we are especially grateful to the authors who willingly accepted challenges of space and time to produce chapters that summarize extensive bodies of research. The value of the volume clearly resides in the quality of the individual chapters. In naming this volume The Semantics of Relationships: An Interdisciplinary Perspective, we wanted to highlight the fact that relationships are not just empty connectives. Relationships constitute important conceptual units and make significant contributions to meaning.
Lexical-semantic Relations by Petra Storjohann Pdf
This collection of articles sketches the complexity of the subject of lexical-semantic relations and addresses semantic, lexicographic and computational issues on an array of meaning relations in different languages. It brings together a variety of linguistic studies on the contextualised construction of synonymy and antonymy in discourse. It shows that research on language and cognition calls for empirical evidence from different sources. This volume demonstrates how the internet, corpus data, as well as psycholinguistic methods contribute profitably to gain insights into the nature of the paradigmatics in actual language use. Furthermore, the volume is concerned with practical and application-oriented research on lexical databases, and it includes explorations of sense-related items in dictionaries from both a text-technological and lexicographic perspective.
Semantic Relations Between Nominals by Vivi Nastase,Stan Szpakowicz,Preslav Nakov,Diarmuid Ó Séagdha Pdf
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.
