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Author: Leon R.A. Derczynski
Publisher: Springer
ISBN: 3319472410
Category : Technology & Engineering
Languages : en
Pages : 220
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Book Description
The book offers a detailed guide to temporal ordering, exploring open problems in the field and providing solutions and extensive analysis. It addresses the challenge of automatically ordering events and times in text. Aided by TimeML, it also describes and presents concepts relating to time in easy-to-compute terms. Working out the order that events and times happen has proven difficult for computers, since the language used to discuss time can be vague and complex. Mapping out these concepts for a computational system, which does not have its own inherent idea of time, is, unsurprisingly, tough. Solving this problem enables powerful systems that can plan, reason about events, and construct stories of their own accord, as well as understand the complex narratives that humans express and comprehend so naturally. This book presents a theory and data-driven analysis of temporal ordering, leading to the identification of exactly what is difficult about the task. It then proposes and evaluates machine-learning solutions for the major difficulties. It is a valuable resource for those working in machine learning for natural language processing as well as anyone studying time in language, or involved in annotating the structure of time in documents.
Author: Leon R.A. Derczynski
Publisher: Springer
ISBN: 3319472410
Category : Technology & Engineering
Languages : en
Pages : 220
Get Book Here
Book Description
The book offers a detailed guide to temporal ordering, exploring open problems in the field and providing solutions and extensive analysis. It addresses the challenge of automatically ordering events and times in text. Aided by TimeML, it also describes and presents concepts relating to time in easy-to-compute terms. Working out the order that events and times happen has proven difficult for computers, since the language used to discuss time can be vague and complex. Mapping out these concepts for a computational system, which does not have its own inherent idea of time, is, unsurprisingly, tough. Solving this problem enables powerful systems that can plan, reason about events, and construct stories of their own accord, as well as understand the complex narratives that humans express and comprehend so naturally. This book presents a theory and data-driven analysis of temporal ordering, leading to the identification of exactly what is difficult about the task. It then proposes and evaluates machine-learning solutions for the major difficulties. It is a valuable resource for those working in machine learning for natural language processing as well as anyone studying time in language, or involved in annotating the structure of time in documents.
Author: Ani Nenkova
Publisher: Now Publishers Inc
ISBN: 1601984707
Category : Computers
Languages : en
Pages : 144
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Book Description
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
Author: Nancy Ide
Publisher: Springer
ISBN: 9402408819
Category : Language Arts & Disciplines
Languages : en
Pages : 1440
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Book Description
This handbook offers a thorough treatment of the science of linguistic annotation. Leaders in the field guide the reader through the process of modeling, creating an annotation language, building a corpus and evaluating it for correctness. Essential reading for both computer scientists and linguistic researchers.Linguistic annotation is an increasingly important activity in the field of computational linguistics because of its critical role in the development of language models for natural language processing applications. Part one of this book covers all phases of the linguistic annotation process, from annotation scheme design and choice of representation format through both the manual and automatic annotation process, evaluation, and iterative improvement of annotation accuracy. The second part of the book includes case studies of annotation projects across the spectrum of linguistic annotation types, including morpho-syntactic tagging, syntactic analyses, a range of semantic analyses (semantic roles, named entities, sentiment and opinion), time and event and spatial analyses, and discourse level analyses including discourse structure, co-reference, etc. Each case study addresses the various phases and processes discussed in the chapters of part one.
Author: United States. Securities and Exchange Commission
Publisher:
ISBN:
Category : Securities
Languages : en
Pages : 1720
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Book Description
Author: Tommaso Caselli
Publisher: Cambridge University Press
ISBN: 1108848133
Category : Computers
Languages : en
Pages : 276
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Book Description
Event structures are central in Linguistics and Artificial Intelligence research: people can easily refer to changes in the world, identify their participants, distinguish relevant information, and have expectations of what can happen next. Part of this process is based on mechanisms similar to narratives, which are at the heart of information sharing. But it remains difficult to automatically detect events or automatically construct stories from such event representations. This book explores how to handle today's massive news streams and provides multidimensional, multimodal, and distributed approaches, like automated deep learning, to capture events and narrative structures involved in a 'story'. This overview of the current state-of-the-art on event extraction, temporal and casual relations, and storyline extraction aims to establish a new multidisciplinary research community with a common terminology and research agenda. Graduate students and researchers in natural language processing, computational linguistics, and media studies will benefit from this book.
Author: Ann Browne
Publisher: SAGE
ISBN: 1446205460
Category : Education
Languages : en
Pages : 321
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Book Description
′I would thoroughly recommend this as a book which enables and empowers at many levels of experience. Every staff room should have a copy′ - English Four to Eleven The Third Edition of Developing Language and Literacy 3 - 8 is an insightful introduction to teaching and learning English in the early years. The new edition has been fully updated to reflect requirements for teaching English in the early years, including the new curriculum guidance for the Early Years Foundation Stage and the new Primary Framework. It covers all aspects of language and literacy and draws on contemporary ideas, research and classroom expertise to guide practice. The book includes chapters on: - Speaking and Listening - Reading - Resources for Language and Literacy - Writing - Spelling, Handwriting and Punctuation - Bilingual Learners - Language, Literacy and Gender - Children with Difficulties - Involving Parents and Carers - Assessment - Planning Along with activities to promote reflective practice, the author provides suggestions for further reading, and useful websites. Further resource material for each chapter accompanies the book on the SAGE website- www.sagepub.co.uk/Browne. This book will be an essential guide for early years and primary trainee teachers.
Author: Joemon M Jose
Publisher: Springer
ISBN: 3319566083
Category : Computers
Languages : en
Pages : 827
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Book Description
This book constitutes the refereed proceedings of the 39th European Conference on IR Research, ECIR 2017, held in Aberdeen, UK, in April 2017. The 36 full papers and 47 poster papers presented together with 5 Abstracts, were carefully reviewed and selected from 248 submissions. Being the premier European forum for the presentation of new research results in the field of Information Retrieval, ECIR features a wide range of topics such as: IR Theory and Practice; Deep Learning and IR; Web and Social Media IR; User Aspects; IR System Architectures; Content Representation and Processing; Evaluation; Multimedia and Cross-Media IR; Applications.
Author: Alexander Gelbukh
Publisher: Springer
ISBN: 3540781358
Category : Computers
Languages : en
Pages : 683
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Book Description
CICLing 2008 (www. CICLing. org) was the 9th Annual Conference on Intel- gent Text Processing and Computational Linguistics. The CICLing conferences are intended to provide a wide-scope forum for the discussion of both the art and craft of natural language processing research and the best practices in its applications. This volume contains the papers accepted for oral presentation at the c- ference, as well as several of the best papers accepted for poster presentation. Other papers accepted for poster presentationwerepublished in specialissues of other journals(seethe informationonthe website). Since 2001the CICLing p- ceedings have been published in Springer’s Lecture Notes in Computer Science series, as volumes 2004, 2276, 2588, 2945, 3406, 3878, and 4394. The book consists of 12 sections, representative of the main tasks and app- cations of Natural Language Processing: – Language resources – Morphology and syntax – Semantics and discourse – Word sense disambiguation and named entity recognition – Anaphora and co-reference – Machine translation and parallel corpora – Natural language generation – Speech recognition – Information retrieval and question answering – Text classi?cation – Text summarization – Spell checking and authoring aid A total of 204 papers by 438 authors from 39 countries were submitted for evaluation (see Tables 1 and 2). Each submission was reviewed by at least two independent Program Committee members. This volume contains revised v- sions of 52 papers by 129 authors from 24 countries selected for inclusion in the conference program (the acceptance rate was 25. 5%).
Author: Lynne Ann Price
Publisher:
ISBN:
Category : Structured programming
Languages : en
Pages : 682
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Book Description
Author: Henrik Leopold
Publisher: Springer
ISBN: 3319041754
Category : Business & Economics
Languages : en
Pages : 199
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Book Description
Natural language is one of the most important means of human communication. It enables us to express our will, to exchange thoughts and to document our knowledge in written sources. Owing to its substantial role in many facets of human life, technology for automatically analyzing and processing natural language has recently become increasingly important. In fact, natural language processing tools have paved the way for entirely new business opportunities. The goal of this book is to facilitate the automatic analysis of natural language in process models and to employ this analysis for assisting process model stakeholders. Therefore, a technique is defined that automatically recognizes and annotates process model element labels. In addition, this technique is leveraged to support organizations in effectively utilizing their process models in various ways. The book is organized into seven chapters. It starts with an overview of business process management and linguistics and continues with conceptual contributions on parsing and annotating process model elements, with the detection and correction of process model guideline violations, with the generation of natural language from process models and finally ends with the derivation of service candidates from process models.
