Natural Language Data Management and Interfaces, Yunyao Li, Davood Rafiei

Автор: Maosong Sun, Xiaojie Wang, Baobao Chang
Название: Chinese Computational Linguistics and Natural Language Processing Based on Naturally Annotated Big Data
ISBN: 3319690043 ISBN-13(EAN): 9783319690049
Издательство: Springer
Рейтинг:
Цена: 35330.00 T
Наличие на складе: Есть
Описание: This book constitutes the proceedings of the 16th China National Conference on Computational Linguistics, CCL 2017, and the 5th International Symposium on Natural Language Processing Based on Naturally Annotated Big Data, NLP-NABD 2017, held in Nanjing, China, in October 2017. Minority language information processing.

Автор: Maosong Sun; Min Zhang; Dekang Lin; Haifeng Wang
Название: Chinese Computational Linguistics and Natural Language Processing Based on Naturally Annotated Big Data
ISBN: 3642414907 ISBN-13(EAN): 9783642414909
Издательство: Springer
Рейтинг:
Цена: 46570.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book constitutes the refereed proceedings of the 12th China National Conference on Computational Linguistics, CCL 2013, and of the First International Symposium on Natural Language Processing Based on Naturally Annotated Big Data, NLP-NABD 2013, held in Suzhou, China, in October 2013.

Автор: Manfred Stede, Jodi Schneider
Название: Argumentation Mining
ISBN: 1681734613 ISBN-13(EAN): 9781681734613
Издательство: Mare Nostrum (Eurospan)
Рейтинг:
Цена: 97950.00 T
Наличие на складе: Невозможна поставка.
Описание: Argumentation mining is an application of natural language processing (NLP) that emerged a few years ago and has recently enjoyed considerable popularity, as demonstrated by a series of international workshops and by a rising number of publications at the major conferences and journals of the field. Its goals are to identify argumentation in text or dialogue; to construct representations of the constellation of claims, supporting and attacking moves (in different levels of detail); and to characterize the patterns of reasoning that appear to license the argumentation. Furthermore, recent work also addresses the difficult tasks of evaluating the persuasiveness and quality of arguments. Some of the linguistic genres that are being studied include legal text, student essays, political discourse and debate, newspaper editorials, scientific writing, and others.The book starts with a discussion of the linguistic perspective, characteristics of argumentative language, and their relationship to certain other notions such as subjectivity.Besides the connection to linguistics, argumentation has for a long time been a topic in Artificial Intelligence, where the focus is on devising adequate representations and reasoning formalisms that capture the properties of argumentative exchange. It is generally very difficult to connect the two realms of reasoning and text analysis, but we are convinced that it should be attempted in the long term, and therefore we also touch upon some fundamentals of reasoning approaches.Then the book turns to its focus, the computational side of mining argumentation in text. We first introduce a number of annotated corpora that have been used in the research. From the NLP perspective, argumentation mining shares subtasks with research fields such as subjectivity and sentiment analysis, semantic relation extraction, and discourse parsing. Therefore, many technical approaches are being borrowed from those (and other) fields. We break argumentation mining into a series of subtasks, starting with the preparatory steps of classifying text as argumentative (or not) and segmenting it into elementary units. Then, central steps are the automatic identification of claims, and finding statements that support or oppose the claim. For certain applications, it is also of interest to compute a full structure of an argumentative constellation of statements. Next, we discuss a few steps that try to 'dig deeper': to infer the underlying reasoning pattern for a textual argument, to reconstruct unstated premises (so-called 'enthymemes'), and to evaluate the quality of the argumentation. We also take a brief look at 'the other side' of mining, i.e., the generation or synthesis of argumentative text.The book finishes with a summary of the argumentation mining tasks, a sketch of potential applications, and a-necessarily subjective-outlook for the field.

Автор: Jialu Liu, Jingbo Shang, Jiawei Han
Название: Phrase Mining from Massive Text and Its Applications
ISBN: 1627058982 ISBN-13(EAN): 9781627058988
Издательство: Mare Nostrum (Eurospan)
Рейтинг:
Цена: 41580.00 T
Наличие на складе: Невозможна поставка.
Описание: Investigates one promising paradigm for representing unstructured text, that is, through automatically identifying high-quality phrases from innumerable documents. This volume proposes new principles and powerful methodologies, from the scenario where a user can provide meaningful guidance to a fully automated setting through distant learning.

Автор: Stede Manfred, Schneider Jodi
Название: Argumentation Mining
ISBN: 1681734591 ISBN-13(EAN): 9781681734590
Издательство: Mare Nostrum (Eurospan)
Рейтинг:
Цена: 76690.00 T
Наличие на складе: Невозможна поставка.
Описание: Argumentation mining is an application of natural language processing (NLP) that emerged a few years ago and has recently enjoyed considerable popularity, as demonstrated by a series of international workshops and by a rising number of publications at the major conferences and journals of the field. Its goals are to identify argumentation in text or dialogue; to construct representations of the constellation of claims, supporting and attacking moves (in different levels of detail); and to characterize the patterns of reasoning that appear to license the argumentation. Furthermore, recent work also addresses the difficult tasks of evaluating the persuasiveness and quality of arguments. Some of the linguistic genres that are being studied include legal text, student essays, political discourse and debate, newspaper editorials, scientific writing, and others.The book starts with a discussion of the linguistic perspective, characteristics of argumentative language, and their relationship to certain other notions such as subjectivity.Besides the connection to linguistics, argumentation has for a long time been a topic in Artificial Intelligence, where the focus is on devising adequate representations and reasoning formalisms that capture the properties of argumentative exchange. It is generally very difficult to connect the two realms of reasoning and text analysis, but we are convinced that it should be attempted in the long term, and therefore we also touch upon some fundamentals of reasoning approaches.Then the book turns to its focus, the computational side of mining argumentation in text. We first introduce a number of annotated corpora that have been used in the research. From the NLP perspective, argumentation mining shares subtasks with research fields such as subjectivity and sentiment analysis, semantic relation extraction, and discourse parsing. Therefore, many technical approaches are being borrowed from those (and other) fields. We break argumentation mining into a series of subtasks, starting with the preparatory steps of classifying text as argumentative (or not) and segmenting it into elementary units. Then, central steps are the automatic identification of claims, and finding statements that support or oppose the claim. For certain applications, it is also of interest to compute a full structure of an argumentative constellation of statements. Next, we discuss a few steps that try to 'dig deeper': to infer the underlying reasoning pattern for a textual argument, to reconstruct unstated premises (so-called 'enthymemes'), and to evaluate the quality of the argumentation. We also take a brief look at 'the other side' of mining, i.e., the generation or synthesis of argumentative text.The book finishes with a summary of the argumentation mining tasks, a sketch of potential applications, and a-necessarily subjective-outlook for the field.

Автор: Robert M. Losee
Название: Predicting Information Retrieval Performance
ISBN: 1681734745 ISBN-13(EAN): 9781681734743
Издательство: Mare Nostrum (Eurospan)
Рейтинг:
Цена: 61910.00 T
Наличие на складе: Невозможна поставка.
Описание: Within the constraints of alien control or influence, it is argued, cultural and organisational barriers have consistently allowed a wide range of initiative to African leaders and communities in a creative and flexible adjustment to new and unfamiliar demands. Exploration of this African initiative in various contexts suggests a complex, fascinating pattern of cultural and structural interaction.

Автор: Robert M. Losee
Название: Predicting Information Retrieval Performance
ISBN: 1681734729 ISBN-13(EAN): 9781681734729
Издательство: Mare Nostrum (Eurospan)
Рейтинг:
Цена: 41580.00 T
Наличие на складе: Невозможна поставка.
Описание: Information Retrieval performance measures are usually retrospective in nature, representing the effectiveness of an experimental process. However, in the sciences, phenomena may be predicted, given parameter values of the system. After developing a measure that can be applied retrospectively or can be predicted, performance of a system using a single term can be predicted given several different types of probabilistic distributions. Information Retrieval performance can be predicted with multiple terms, where statistical dependence between terms exists and is understood. These predictive models may be applied to realistic problems, and then the results may be used to validate the accuracy of the methods used. The application of metadata or index labels can be used to determine whether or not these features should be used in particular cases. Linguistic information, such as part-of-speech tag information, can increase the discrimination value of existing terminology and can be studied predictively.This work provides methods for measuring performance that may be used predictively. Means of predicting these performance measures are provided, both for the simple case of a single term in the query and for multiple terms. Methods of applying these formulae are also suggested.

Автор: Diana Maynard, Kalina Bontcheva
Название: Natural Language Processing for the Semantic Web
ISBN: 1627059091 ISBN-13(EAN): 9781627059091
Издательство: Mare Nostrum (Eurospan)
Рейтинг:
Цена: 76690.00 T
Наличие на складе: Невозможна поставка.
Описание: Introduces core natural language processing (NLP) technologies to non-experts in an easily accessible way, as a series of building blocks that lead the user to understand key technologies, why they are required, and how to integrate them into Semantic Web applications.

Автор: Caviglione, Coccoli & Merlo
Название: Social Network Engineering For Secure Web Data And Services
ISBN: 1466639261 ISBN-13(EAN): 9781466639263
Издательство: Mare Nostrum (Eurospan)
Рейтинг:
Цена: 189420.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: While the innovation and phenomenon of social network applications has greatly impacted society, the economy, and the technological pool of the internet; these platforms are not only used for content sharing purposes. They are also used to support and develop new services and applications. <em>Social Network Engineering for Secure Web Data and Services</em> provides empirical research on the engineering of social network infrastructures, the development of novel applications, and the impact of social network- based services over the internet. This comprehensive collection highlights issues and solutions developed to prevent security threats and introduce proper countermeasures for attacks on every level. This book is useful for professionals and researchers in the field of social network and web security.

Автор: Sch?fer, R. and Bildhauer, F.
Название: Web Corpus Construction. Synthesis Lectures on Human Language Technologies
ISBN: 1608459837 ISBN-13(EAN): 9781608459834
Издательство: Turpin
Рейтинг:
Цена: 30790.00 T
Наличие на складе: Невозможна поставка.
Описание: The World Wide Web constitutes the largest existing source of texts written in a great variety of languages. A feasible and sound way of exploiting this data for linguistic research is to compile a static corpus for a given language. There are several adavantages of this approach: (i) Working with such corpora obviates the problems encountered when using Internet search engines in quantitative linguistic research (such as non-transparent ranking algorithms). (ii) Creating a corpus from web data is virtually free. (iii) The size of corpora compiled from the WWW may exceed by several orders of magnitudes the size of language resources offered elsewhere. (iv) The data is locally available to the user, and it can be linguistically post-processed and queried with the tools preferred by her/him. This book addresses the main practical tasks in the creation of web corpora up to giga-token size. Among these tasks are the sampling process (i.e., web crawling) and the usual cleanups including boilerplate removal and removal of duplicated content. Linguistic processing and problems with linguistic processing coming from the different kinds of noise in web corpora are also covered. Finally, the authors show how web corpora can be evaluated and compared to other corpora (such as traditionally compiled corpora).

Автор: Abhijit Mishra, Pushpak Bhattacharyya
Название: Cognitively Inspired Natural Language Processing
ISBN: 9811315159 ISBN-13(EAN): 9789811315152
Издательство: Springer
Рейтинг:
Цена: 93160.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book shows ways of augmenting the capabilities of Natural Language Processing (NLP) systems by means of cognitive-mode language processing.

Автор: Nava Shaked, Ute Winter
Название: Design of Multimodal Mobile Interfaces
ISBN: 1501510843 ISBN-13(EAN): 9781501510847
Издательство: Walter de Gruyter
Цена: 74320.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The “smart mobile” has become an essential and inseparable part of our lives. This powerful tool enables us to perform multi-tasks in different modalities of voice, text, gesture, etc. The user plays an important role in the mode of operation, so multimodal interaction provides the user with new complex multiple modalities of interfacing with a system, such as speech, touch, type and more. The book will discuss the new world of mobile multimodality, focusing on innovative technologies and design which create a state-of-the-art user interface. It will examine the practical challenges entailed in meeting commercial deployment goals, and offer new approaches to the designing such interfaces. A multimodal interface for mobile devices requires the integration of several recognition technologies together with sophisticated user interface and distinct tools for input and output of data. The book will address the challenge of designing devices in a synergetic fashion which does not burden the user or to create a technological overload.