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Author: Robert Dale Publisher: Bradford Book ISBN: Category : Computers Languages : en Pages : 304
Book Description
Robert Dale presents a detailed description of the development of algorithms for the generation of referring expressions, and of the underlying structures that motivate these algorithms, in a dynamic domain. He provides a number of novel results in both knowledge representation and natural language generation that should have straightforward applications in other domains. Dale describes EPICURE, a natural language generating system, and its capacity to create referring expressions in a domain embodying several interesting features: The entities in the domain consist of masses and sets as well as the more usual singular individuals; during the development of a discourse, the entities may take on new properties, existing entities may be destroyed, and new entities may be created; and the discourses within which the entities appear are hierarchically structured, allowing for the integration of discourse-structural constraints on the use of anaphoric expressions. EPICURE is designed to generate text from underlying plans. Dale uses cooking recipes as examples, showing how the system must determine what level of explanation is required and how the events in the plan must be modeled to ensure that the references generated are accurate.
Author: Robert Dale Publisher: Bradford Book ISBN: Category : Computers Languages : en Pages : 304
Book Description
Robert Dale presents a detailed description of the development of algorithms for the generation of referring expressions, and of the underlying structures that motivate these algorithms, in a dynamic domain. He provides a number of novel results in both knowledge representation and natural language generation that should have straightforward applications in other domains. Dale describes EPICURE, a natural language generating system, and its capacity to create referring expressions in a domain embodying several interesting features: The entities in the domain consist of masses and sets as well as the more usual singular individuals; during the development of a discourse, the entities may take on new properties, existing entities may be destroyed, and new entities may be created; and the discourses within which the entities appear are hierarchically structured, allowing for the integration of discourse-structural constraints on the use of anaphoric expressions. EPICURE is designed to generate text from underlying plans. Dale uses cooking recipes as examples, showing how the system must determine what level of explanation is required and how the events in the plan must be modeled to ensure that the references generated are accurate.
Author: Robert Dale Publisher: CRC Press ISBN: 9780824790004 Category : Business & Economics Languages : en Pages : 974
Book Description
This study explores the design and application of natural language text-based processing systems, based on generative linguistics, empirical copus analysis, and artificial neural networks. It emphasizes the practical tools to accommodate the selected system.
Author: Fahime Same Publisher: Language Science Press ISBN: 3961104719 Category : Language Arts & Disciplines Languages : en Pages : 276
Book Description
Reference production, often termed Referring Expression Generation (REG) in computational linguistics, encompasses two distinct tasks: (1) one-shot REG, and (2) REG-in-context. One-shot REG explores which properties of a referent offer a unique description of it. In contrast, REG-in-context asks which (anaphoric) referring expressions are optimal at various points in discourse. This book offers a series of in-depth studies of the REG-in-context task. It thoroughly explores various aspects of the task such as corpus selection, computational methods, feature analysis, and evaluation techniques. The comparative study of different corpora highlights the pivotal role of corpus choice in REG-in-context research, emphasizing its influence on all subsequent model development steps. An experimental analysis of various feature-based machine learning models reveals that those with a concise set of linguistically-informed features can rival models with more features. Furthermore, this work highlights the importance of paragraph-related concepts, an area underexplored in Natural Language Generation (NLG). The book offers a thorough evaluation of different approaches to the REG-in-context task (rule-based, feature-based, and neural end-to-end), and demonstrates that well-crafted, non-neural models are capable of matching or surpassing the performance of neural REG-in-context models. In addition, the book delves into post-hoc experiments, aimed at improving the explainability of both neural and classical REG-in-context models. It also addresses other critical topics, such as the limitations of accuracy-based evaluation metrics and the essential role of human evaluation in NLG research. These studies collectively advance our understanding of REG-in-context. They highlight the importance of selecting appropriate corpora and targeted features. They show the need for context-aware modeling and the value of a comprehensive approach to model evaluation and interpretation. This detailed analysis of REG-in-context paves the way for developing more sophisticated, linguistically-informed, and contextually appropriate NLG systems.
Author: Ehud Reiter Publisher: Cambridge University Press ISBN: 0521620368 Category : Computers Languages : en Pages : 274
Book Description
This book explains how to build Natural Language Generation (NLG) systems - computer software systems which use techniques from artificial intelligence and computational linguistics to automatically generate understandable texts in English or other human languages, either in isolation or as part of multimedia documents, Web pages, and speech output systems. Typically starting from some non-linguistic representation of information as input, NLG systems use knowledge about language and the application domain to automatically produce documents, reports, explanations, help messages, and other kinds of texts. The book covers the algorithms and representations needed to perform the core tasks of document planning, microplanning, and surface realization, using a case study to show how these components fit together. It also discusses engineering issues such as system architecture, requirements analysis, and the integration of text generation into multimedia and speech output systems.
Author: Giovanni Adorni Publisher: Springer Science & Business Media ISBN: 9783540608004 Category : Computers Languages : en Pages : 402
Book Description
This proceedings volume gives an up-to-date overview of the most recent results in the field of plant molecular response to environmental constraints, especially heat, cold, water/drought, salt or light. It centers on molecular approaches in understanding the bases of plant tolerance to physical stresses, links among different environmental stresses, and the manipulation of gene expression by recombinant DNA technology to obtain tolerant transgenic plants.
Author: Aarne Ranta Publisher: Springer ISBN: 3540852875 Category : Computers Languages : en Pages : 522
Book Description
This book constitutes the refereed proceedings of the 6th International Conference on Natural Language Processing, GoTAL 2008, Gothenburg, Sweden, August 2008. The 44 revised full papers presented together with 3 invited talks were carefully reviewed and selected from 107 submissions. The papers address all current issues in computational linguistics and monolingual and multilingual intelligent language processing - theory, methods and applications.
Author: Alexander Gelbukh Publisher: Springer ISBN: 3642549063 Category : Computers Languages : en Pages : 554
Book Description
This two-volume set, consisting of LNCS 8403 and LNCS 8404, constitutes the thoroughly refereed proceedings of the 14th International Conference on Intelligent Text Processing and Computational Linguistics, CICLing 2014, held in Kathmandu, Nepal, in April 2014. The 85 revised papers presented together with 4 invited papers were carefully reviewed and selected from 300 submissions. The papers are organized in the following topical sections: lexical resources; document representation; morphology, POS-tagging, and named entity recognition; syntax and parsing; anaphora resolution; recognizing textual entailment; semantics and discourse; natural language generation; sentiment analysis and emotion recognition; opinion mining and social networks; machine translation and multilingualism; information retrieval; text classification and clustering; text summarization; plagiarism detection; style and spelling checking; speech processing; and applications.
Author: Emiel Krahmer Publisher: Springer Science & Business Media ISBN: 3642155723 Category : Computers Languages : en Pages : 363
Book Description
Natural language generation (NLG) is a subfield of natural language processing (NLP) that is often characterized as the study of automatically converting non-linguistic representations (e.g., from databases or other knowledge sources) into coherent natural language text. In recent years the field has evolved substantially. Perhaps the most important new development is the current emphasis on data-oriented methods and empirical evaluation. Progress in related areas such as machine translation, dialogue system design and automatic text summarization and the resulting awareness of the importance of language generation, the increasing availability of suitable corpora in recent years, and the organization of shared tasks for NLG, where different teams of researchers develop and evaluate their algorithms on a shared, held out data set have had a considerable impact on the field, and this book offers the first comprehensive overview of recent empirically oriented NLG research.
Author: Robert Dale
Author: Robert Dale
Author: Robert Dale
Author: Fahime Same
Author: Ehud Reiter
Author: Nicolas Nicolov
Author: Giovanni Adorni
Author: Aarne Ranta
Author: Alexander Gelbukh
Author: Emiel Krahmer
Author: Kees van Deemter