Download or read book Automatic Semantic Interpretation written by Jan van Bakel and published by Walter de Gruyter GmbH & Co KG. This book was released on 2019-10-08 with total page 188 pages. Available in PDF, EPUB and Kindle. Book excerpt: No detailed description available for "Automatic Semantic Interpretation".
Download or read book Semantic Awareness for Automatic Image Interpretation written by Albrecht Johannes Lindner and published by . This book was released on 2013 with total page 139 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Semantic Interpretation and the Resolution of Ambiguity written by Graeme Hirst and published by Cambridge University Press. This book was released on 1987 with total page 284 pages. Available in PDF, EPUB and Kindle. Book excerpt: Semantic interpretation and the resolution of ambiguity presents an important advance in computer understanding of natural language. While parsing techniques have been greatly improved in recent years, the approach to semantics has generally improved in recent years, the approach to semantics has generally been ad hoc and had little theoretical basis. Graeme Hirst offers a new, theoretically motivated foundation for conceptual analysis by computer, and shows how this framework facilitates the resolution of lexical and syntactic ambiguities. His approach is interdisciplinary, drawing on research in computational linguistics, artificial intelligence, montague semantics, and cognitive psychology.
Download or read book The Acquisition of Lexical Knowledge from the Web for Aspects of Semantic Interpretation written by Hansen A. Schwartz and published by . This book was released on 2011 with total page 160 pages. Available in PDF, EPUB and Kindle. Book excerpt: This work investigates the effective acquisition of lexical knowledge from the Web to perform semantic interpretation. The Web provides an unprecedented amount of natural language from which to gain knowledge useful for semantic interpretation. The knowledge acquired is described as common sense knowledge, information one uses in his or her daily life to understand language and perception. Novel approaches are presented for both the acquisition of this knowledge and use of the knowledge in semantic interpretation algorithms. The goal is to increase accuracy over other automatic semantic interpretation systems, and in turn enable stronger real world applications such as machine translation, advanced Web search, sentiment analysis, and question answering. The major contributions of this dissertation consist of two methods of acquiring lexical knowledge from the Web, namely a database of common sense knowledge and Web selectors. The first method is a framework for acquiring a database of concept relationships. To acquire this knowledge, relationships between nouns are found on the Web and analyzed over WordNet using information-theory, producing information about concepts rather than ambiguous words. For the second contribution, words called Web selectors are retrieved which take the place of an instance of a target word in its local context. The selectors serve for the system to learn the types of concepts that the sense of a target word should be similar. Web selectors are acquired dynamically as part of a semantic interpretation algorithm, while the relationships in the database are useful to stand-alone programs. A final contribution of this dissertation concerns a novel semantic similarity measure and an evaluation of similarity and relatedness measures on tasks of concept similarity. Such tasks are useful when applying acquired knowledge to semantic interpretation. Applications to word sense disambiguation, an aspect of semantic interpretation, are used to evaluate the contributions. Disambiguation systems which utilize semantically annotated training data are considered supervised. The algorithms of this dissertation are considered minimally-supervised; they do not require training data created by humans, though they may use human-created data sources. In the case of evaluating a database of common sense knowledge, integrating the knowledge into an existing minimally-supervised disambiguation system significantly improved results -- a 20.5\% error reduction. Similarly, the Web selectors disambiguation system, which acquires knowledge directly as part of the algorithm, achieved results comparable with top minimally-supervised systems, an F-score of 80.2\% on a standard noun disambiguation task. This work enables the study of many subsequent related tasks for improving semantic interpretation and its application to real-world technologies. Other aspects of semantic interpretation, such as semantic role labeling could utilize the same methods presented here for word sense disambiguation. As the Web continues to grow, the capabilities of the systems in this dissertation are expected to increase. Although the Web selectors system achieves great results, a study in this dissertation shows likely improvements from acquiring more data. Furthermore, the methods for acquiring a database of common sense knowledge could be applied in a more exhaustive fashion for other types of common sense knowledge. Finally, perhaps the greatest benefits from this work will come from the enabling of real world technologies that utilize semantic interpretation.
Download or read book Semantics in Text Processing written by Johan Bos and published by . This book was released on 2008 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Research in robust open-domain text processing has seen considerable progress in the last couple of decades. It is probably fair to say that language technology tools have reached satisfactory performance at the level of syntactic processing. Therefore, it is timelier than ever to consider deep semantic processing as a serious task in wide-coverage natural language processing. This is a step that requires the integration of syntactic parsing, named entity recognition, anaphora resolution, thematic role labelling, word sense disambiguation with fine-grained semantic analysis. Accurate automatic semantic interpretation of text will benefit newly emerging sub-areas such as affectivity and sentiment analysis of texts, textual entailment, and consistency checking, and applications such as automated question answering, summarisation, and machine translation. This volume addresses these ambitions by presenting a collection of papers presented at the first workshop on the Semantics in Text Processing (STEP 2008), held in Venice from 22 to 24 September 2008. It is divided into three parts: (1) regular papers describing new results and completed research; (2) reports and descriptions of state-of-the-art systems that participated in the shared task on comparing semantic representations; and (3) short papers addressing ongoing work, novel techniques, or project descriptions. This is the first volume in \textit{Research in Computational Semantics} series launched by College Publications. Computational semantics is a relatively new interdisciplinary area in natural language processing, focusing on developing techniques to automate the interpretation of spoken and written natural language. It is an exciting area combining linguistic insight, logical reasoning, and knowledge engineering using both symbolic and statistical techniques to achieve robust and scalable methods for processing human languages.
Download or read book Semantic Interpretation with Distributional Analysis written by Michael Robert Glass and published by . This book was released on 2012 with total page 370 pages. Available in PDF, EPUB and Kindle. Book excerpt: Unstructured text contains a wealth of knowledge, however, it is in a form unsuitable for reasoning. Semantic interpretation is the task of processing natural language text to create or extend a coherent, formal knowledgebase able to reason and support question answering. This task involves entity, event and relation extraction, co-reference resolution, and inference. Many domains, from intelligence data to bioinformatics, would benefit by semantic interpretation. But traditional approaches to the subtasks typically require a large annotated corpus specific to a single domain and ontology. This dissertation describes an approach to rapidly train a semantic interpreter using a set of seed annotations and a large, unlabeled corpus. Our approach adapts methods from paraphrase acquisition and automatic thesaurus construction to extend seed syntactic to semantic mappings using an automatically gathered, domain specific, parallel corpus. During interpretation, the system uses joint probabilistic inference to select the most probable interpretation consistent with the background knowledge. We evaluate both the quality of the extended mappings as well as the performance of the semantic interpreter.
Download or read book Syntax and Semantics of Prepositions written by Patrick Saint-Dizier and published by Springer Science & Business Media. This book was released on 2006-03-02 with total page 340 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is the first book to provide an integrated view of preposition from morphology to reasoning, via syntax and semantics. It offers new insights in applied and formal linguistics, and cognitive science. It underlines the importance of prepositions in a number of computational linguistics applications, such as information retrieval and machine translation. The book presents a wide range of views and applications to various linguistic frameworks.
Download or read book Semantic Role Labeling written by Martha Palmer and published by Springer Nature. This book was released on 2022-05-31 with total page 95 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is aimed at providing an overview of several aspects of semantic role labeling. Chapter 1 begins with linguistic background on the definition of semantic roles and the controversies surrounding them. Chapter 2 describes how the theories have led to structured lexicons such as FrameNet, VerbNet and the PropBank Frame Files that in turn provide the basis for large scale semantic annotation of corpora. This data has facilitated the development of automatic semantic role labeling systems based on supervised machine learning techniques. Chapter 3 presents the general principles of applying both supervised and unsupervised machine learning to this task, with a description of the standard stages and feature choices, as well as giving details of several specific systems. Recent advances include the use of joint inference to take advantage of context sensitivities, and attempts to improve performance by closer integration of the syntactic parsing task with semantic role labeling. Chapter 3 also discusses the impact the granularity of the semantic roles has on system performance. Having outlined the basic approach with respect to English, Chapter 4 goes on to discuss applying the same techniques to other languages, using Chinese as the primary example. Although substantial training data is available for Chinese, this is not the case for many other languages, and techniques for projecting English role labels onto parallel corpora are also presented. Table of Contents: Preface / Semantic Roles / Available Lexical Resources / Machine Learning for Semantic Role Labeling / A Cross-Lingual Perspective / Summary
Download or read book Automatic Summarization written by Ani Nenkova and published by Now Publishers Inc. This book was released on 2011 with total page 144 pages. Available in PDF, EPUB and Kindle. Book excerpt: Automatic Summarization is a comprehensive overview of research in summarization, including the more traditional efforts in sentence extraction as well as the most novel recent approaches for determining important content, for domain and genre specific summarization and for evaluation of summarization
Download or read book Aspects of Automatic Text Analysis written by Alexander Mehler and published by Springer Science & Business Media. This book was released on 2007-06-24 with total page 450 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents recent developments in automatic text analysis. Providing an overview of linguistic modeling, it collects contributions of authors from a multidisciplinary area that focus on the topic of automatic text analysis from different perspectives. It includes chapters on cognitive modeling and visual systems modeling, and contributes to the computational linguistic and information theoretical grounding of automatic text analysis.
Download or read book Text Mining Approaches for Biomedical Data written by Aditi Sharan and published by Springer Nature. This book was released on with total page 438 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Handbook of Semantic Web Technologies written by John Domingue and published by Springer Science & Business Media. This book was released on 2011-06-19 with total page 1077 pages. Available in PDF, EPUB and Kindle. Book excerpt: After years of mostly theoretical research, Semantic Web Technologies are now reaching out into application areas like bioinformatics, eCommerce, eGovernment, or Social Webs. Applications like genomic ontologies, semantic web services, automated catalogue alignment, ontology matching, or blogs and social networks are constantly increasing, often driven or at least backed up by companies like Google, Amazon, YouTube, Facebook, LinkedIn and others. The need to leverage the potential of combining information in a meaningful way in order to be able to benefit from the Web will create further demand for and interest in Semantic Web research. This movement, based on the growing maturity of related research results, necessitates a reliable reference source from which beginners to the field can draw a first basic knowledge of the main underlying technologies as well as state-of-the-art application areas. This handbook, put together by three leading authorities in the field, and supported by an advisory board of highly reputed researchers, fulfils exactly this need. It is the first dedicated reference work in this field, collecting contributions about both the technical foundations of the Semantic Web as well as their main usage in other scientific fields like life sciences, engineering, business, or education.
Download or read book Semi Automatic Ontology Development Processes and Resources written by Pazienza, Maria Teresa and published by IGI Global. This book was released on 2012-02-29 with total page 341 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This book includes state-of-the-art research results aimed at the automation of ontology development processes and the reuse of external resources becoming a reality, thus being of interest for a wide and diversified community of users"--
Download or read book Advances in Cognitive Informatics and Cognitive Computing written by Yingxu Wang and published by Springer Science & Business Media. This book was released on 2010-11-07 with total page 301 pages. Available in PDF, EPUB and Kindle. Book excerpt: Cognitive Informatics (CI) is the science of cognitive information processing and its applications in cognitive computing. CI is a transdisciplinary enquiry of computer science, information science, cognitive science, and intelligence science that investigates into the internal information processing mechanisms and processes of the brain. Advances and engineering applications of CI have led to the emergence of cognitive computing and the development of Cognitive Computers (CCs) that reason and learn. As initiated by Yingxu Wang and his colleagues, CC has emerged and developed based on the transdisciplinary research in CI, abstract intelligence (aI), and denotational mathematics after the inauguration of the series of IEEE International Conference on Cognitive Informatics since 2002 at Univ. of Calgary, Stanford Univ., and Tsinghua Univ., etc. This volume in LNCS (subseries of Computational Intelligence), LNCI 323, edited by Y. Wang, D. Zhang, and W. Kinsner, presents the latest development in cognitive informatics and cognitive computing. The book focuses on the explanation of cognitive models of the brain, the layered reference model of the brain, the fundamental mechanisms of abstract intelligence, and the implementation of computational intelligence by autonomous inference and learning engines based on CCs.
Download or read book Mathematical Linguistics and Automatic Translation written by and published by . This book was released on 1965 with total page 486 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Readings in Machine Translation written by Sergei Nirenburg and published by MIT Press. This book was released on 2003 with total page 444 pages. Available in PDF, EPUB and Kindle. Book excerpt: The field of machine translation (MT) - the automation of translation between human languages - has existed for more than 50 years. MT helped to usher in the field of computational linguistics and has influenced methods and applications in knowledge representation, information theory, and mathematical statistics.
Download or read book Some Rules of Semantic Interpretation for English written by Ray Jackendoff and published by . This book was released on 1969 with total page 496 pages. Available in PDF, EPUB and Kindle. Book excerpt:
