Time In Natural Language PDF Download
Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Time In Natural Language PDF full book. Access full book title Time In Natural Language.
Author | : Ellen Thompson |
Publisher | : Walter de Gruyter |
Total Pages | : 240 |
Release | : 2005 |
Genre | : Language Arts & Disciplines |
ISBN | : 3110184141 |
Download Time in Natural Language Book in PDF, ePub and Kindle
Time in Natural Language investigates the relationship between the syntactic and semantic representations of sentences within the domain of tense. Assuming that tenses are semantically composed of three distinct times, Thompson proposes that these times map onto the syntax in a regular fashion: each time is associated with a unique syntactic head. Adopting the Minimalist approach to syntactic theory, this approach makes possible insightful analyses of syntactic structures involving temporal dependency. Thompson argues that, depending on their adjunction site, temporal adverbials modify different parts of the tense structure of the clause. Locating the Event time within VP, it is correctly predicted that an adverbial that modifies the Event time is adjoined to VP. On the other hand, since the Reference time is argued to be within AspP, when an adverbial is adjoined to AspP, it modifies the Reference time. The syntax of temporal adjunct clauses is accounted for in a similar fashion; they may be adjoined either to VP, where they are interpreted as simultaneous with the matrix event, or to AspP, where they are interpreted as nonsimultaneous. Thompson shows that the analysis sheds light on the less-studied issue of the temporal syntax of arguments. Subjects with gerundive relative clauses are claimed to be interpreted in VP at LF when the relative clause is temporally dependent on the Event time of the main clause, and in TP when the relative clause is dependent on the Speech time of the main clause. By extending the syntactic proposal to investigate the discourse-level effects of tense, an original analysis of the discourse representation of tense is proposed. Thompson argues that the discourse representation of tense is based on same primitives and subject to the same principles as the syntactic representation of tense, based on an in-depth examination of the structure and meaning of the temporal discourse adverb then.
Author | : Alice G. B. ter Meulen |
Publisher | : MIT Press |
Total Pages | : 172 |
Release | : 1997 |
Genre | : Language Arts & Disciplines |
ISBN | : 9780262700665 |
Download Representing Time in Natural Language Book in PDF, ePub and Kindle
The topic of temporal meaning in texts has received considerable attention in recent years from scholars in linguistics, logical semantics, cognitive science, and artificial intelligence. Representing Time in Natural Language offers a systematic and detailed account of how we use temporal information contained in a text or in discourse to reason about the flow of time, inferring the order in which events happened when this is not explicitly stated. A new representational system is designed to formalize an appropriately context-dependent notion of situated inference. The Dynamic Aspect Tree, representing temporal dependencies, constitutes a novel and important dynamic temporal logic, one that makes it easy to see "what follows when" from the information given in an ordinary English text.
Author | : Ion Androutsopoulos |
Publisher | : John Benjamins Publishing |
Total Pages | : 328 |
Release | : 2002 |
Genre | : Computers |
ISBN | : 9781588112699 |
Download Exploring Time, Tense, and Aspect in Natural Language Database Interfaces Book in PDF, ePub and Kindle
Drawing upon tense and aspect theories, temporal logics, and temporal databases, this cross-discipline book examines relevant issues from the three areas, developing a unified theoretical framework that can be used to build natural language interfaces to temporal databases.
Author | : Emily M. Bender |
Publisher | : Springer Nature |
Total Pages | : 250 |
Release | : 2022-06-01 |
Genre | : Computers |
ISBN | : 303102172X |
Download Linguistic Fundamentals for Natural Language Processing II Book in PDF, ePub and Kindle
Meaning is a fundamental concept in Natural Language Processing (NLP), in the tasks of both Natural Language Understanding (NLU) and Natural Language Generation (NLG). This is because the aims of these fields are to build systems that understand what people mean when they speak or write, and that can produce linguistic strings that successfully express to people the intended content. In order for NLP to scale beyond partial, task-specific solutions, researchers in these fields must be informed by what is known about how humans use language to express and understand communicative intents. The purpose of this book is to present a selection of useful information about semantics and pragmatics, as understood in linguistics, in a way that's accessible to and useful for NLP practitioners with minimal (or even no) prior training in linguistics.
Author | : Mandakini Chagamreddy |
Publisher | : Archers & Elevators Publishing House |
Total Pages | : 72 |
Release | : |
Genre | : Antiques & Collectibles |
ISBN | : 8119385403 |
Download Deep Learning and Natural Language Processing Based Real-Time Applications Book in PDF, ePub and Kindle
Author | : Hannes Hapke |
Publisher | : Simon and Schuster |
Total Pages | : 798 |
Release | : 2019-03-16 |
Genre | : Computers |
ISBN | : 1638356890 |
Download Natural Language Processing in Action Book in PDF, ePub and Kindle
Summary Natural Language Processing in Action is your guide to creating machines that understand human language using the power of Python with its ecosystem of packages dedicated to NLP and AI. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the Technology Recent advances in deep learning empower applications to understand text and speech with extreme accuracy. The result? Chatbots that can imitate real people, meaningful resume-to-job matches, superb predictive search, and automatically generated document summaries—all at a low cost. New techniques, along with accessible tools like Keras and TensorFlow, make professional-quality NLP easier than ever before. About the Book Natural Language Processing in Action is your guide to building machines that can read and interpret human language. In it, you'll use readily available Python packages to capture the meaning in text and react accordingly. The book expands traditional NLP approaches to include neural networks, modern deep learning algorithms, and generative techniques as you tackle real-world problems like extracting dates and names, composing text, and answering free-form questions. What's inside Some sentences in this book were written by NLP! Can you guess which ones? Working with Keras, TensorFlow, gensim, and scikit-learn Rule-based and data-based NLP Scalable pipelines About the Reader This book requires a basic understanding of deep learning and intermediate Python skills. About the Author Hobson Lane, Cole Howard, and Hannes Max Hapke are experienced NLP engineers who use these techniques in production. Table of Contents PART 1 - WORDY MACHINES Packets of thought (NLP overview) Build your vocabulary (word tokenization) Math with words (TF-IDF vectors) Finding meaning in word counts (semantic analysis) PART 2 - DEEPER LEARNING (NEURAL NETWORKS) Baby steps with neural networks (perceptrons and backpropagation) Reasoning with word vectors (Word2vec) Getting words in order with convolutional neural networks (CNNs) Loopy (recurrent) neural networks (RNNs) Improving retention with long short-term memory networks Sequence-to-sequence models and attention PART 3 - GETTING REAL (REAL-WORLD NLP CHALLENGES) Information extraction (named entity extraction and question answering) Getting chatty (dialog engines) Scaling up (optimization, parallelization, and batch processing)
Author | : Brian Davis |
Publisher | : Springer |
Total Pages | : 210 |
Release | : 2014-07-21 |
Genre | : Computers |
ISBN | : 3319102230 |
Download Controlled Natural Language Book in PDF, ePub and Kindle
This book constitutes the refereed proceedings of the 4th International Workshop on Controlled Natural Language, CNL 2014, held in Galway, Ireland, in August 2014. The 17 full papers and one invited paper presented were carefully reviewed and selected from 26 submissions. The topics include simplified language, plain language, formalized language, processable language, fragments of language, phraseologies, conceptual authoring, language generation, and guided natural language interfaces.
Author | : Philipp Cimiano |
Publisher | : Springer Nature |
Total Pages | : 158 |
Release | : 2022-06-01 |
Genre | : Computers |
ISBN | : 3031021541 |
Download Ontology-Based Interpretation of Natural Language Book in PDF, ePub and Kindle
For humans, understanding a natural language sentence or discourse is so effortless that we hardly ever think about it. For machines, however, the task of interpreting natural language, especially grasping meaning beyond the literal content, has proven extremely difficult and requires a large amount of background knowledge. This book focuses on the interpretation of natural language with respect to specific domain knowledge captured in ontologies. The main contribution is an approach that puts ontologies at the center of the interpretation process. This means that ontologies not only provide a formalization of domain knowledge necessary for interpretation but also support and guide the construction of meaning representations. We start with an introduction to ontologies and demonstrate how linguistic information can be attached to them by means of the ontology lexicon model lemon. These lexica then serve as basis for the automatic generation of grammars, which we use to compositionally construct meaning representations that conform with the vocabulary of an underlying ontology. As a result, the level of representational granularity is not driven by language but by the semantic distinctions made in the underlying ontology and thus by distinctions that are relevant in the context of a particular domain. We highlight some of the challenges involved in the construction of ontology-based meaning representations, and show how ontologies can be exploited for ambiguity resolution and the interpretation of temporal expressions. Finally, we present a question answering system that combines all tools and techniques introduced throughout the book in a real-world application, and sketch how the presented approach can scale to larger, multi-domain scenarios in the context of the Semantic Web. Table of Contents: List of Figures / Preface / Acknowledgments / Introduction / Ontologies / Linguistic Formalisms / Ontology Lexica / Grammar Generation / Putting Everything Together / Ontological Reasoning for Ambiguity Resolution / Temporal Interpretation / Ontology-Based Interpretation for Question Answering / Conclusion / Bibliography / Authors' Biographies
Author | : Hrafn Loftsson |
Publisher | : Springer |
Total Pages | : 443 |
Release | : 2010-08-11 |
Genre | : Computers |
ISBN | : 3642147704 |
Download Advances in Natural Language Processing Book in PDF, ePub and Kindle
This book constitutes the proceedings of the 7th International Conference on Advances in Natural Language Processing held in Reykjavik, Iceland, in August 2010.
Author | : G.A. Kempen |
Publisher | : Springer Science & Business Media |
Total Pages | : 460 |
Release | : 2012-12-06 |
Genre | : Computers |
ISBN | : 9400936451 |
Download Natural Language Generation Book in PDF, ePub and Kindle
Proceedings of the NATO Advanced Research Workshop, Nijmegen, The Netherlands, August 19-23, 1986