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Linguistic Modeling of Information and Markup Languages
This book covers recent developments in the field, from multi-layered mark-up and standards to theoretical formalisms to applications. It presents results from international research in text technology, computational linguistics, hypertext modeling and more.
Discourse, of Course
Discourse, of Course comes after Jan Renkema’s Introduction to Discourse Studies (2004) for undergraduates. The new book is a collection of twenty short papers. It is a capita selecta course and meant for graduate programs. The aim of this book is threefold: • to present material for advanced courses in discourse studies; • to unfold a stimulating display of research projects to future PhD students; • to give an overview of new developments after the 2004 Introduction to Discourse Studies. This publication fulfills both the teacher's need for a state-of-the-art overview of the main topics in discourse, and the student's need to acquire standards for developing research plans in theses and dissertations. It gives a combination of approaches from very different schools in discourse studies, ranging from argumentation theory to genre theory, from the study of multimodal metaphors to cognitive approaches to coherence analysis. This book is not only meant to serve as a textbook, but also as a reference book for researchers who want an update for various main topics in the field.
Modeling, Learning, and Processing of Text-Technological Data Structures
Researchers in many disciplines have been concerned with modeling textual data in order to account for texts as the primary information unit of written communication. The book “Modelling, Learning and Processing of Text-Technological Data Structures” deals with this challenging information unit. It focuses on theoretical foundations of representing natural language texts as well as on concrete operations of automatic text processing. Following this integrated approach, the present volume includes contributions to a wide range of topics in the context of processing of textual data. This relates to the learning of ontologies from natural language texts, the annotation and automatic parsing of texts as well as the detection and tracking of topics in texts and hypertexts. In this way, the book brings together a wide range of approaches to procedural aspects of text technology as an emerging scientific discipline.
Information Structuring in Discourse
A text usually provides more information than a random sequence of clauses: It combines sentence-level information to larger units which are glued together by coherence relations that may induce a hierarchical discourse structure. Since linguists have begun to investigate texts as more complex units of linguistic communication, it has been controversially discussed what the appropriate level of analysis of discourse structure ought to be and what the criteria to identify (minimal) discourse units are. Linguistic structure–and more precisely, the extraction and integration of syntactic, semantic, and pragmatic information–is shown to be at the center of text processing and discourse comprehension. However, its role in the establishment of basic building blocks for a coherent discourse is still a subject of debate. This collection addresses these issues using various methodological approaches. It presents current results in theoretical, diachronic, experimental as well as computational research on structuring information in discourse.
'Subordination' Versus 'coordination' in Sentence and Text
The papers collected in this volume (including a comprehensive introduction) investigate semantic and discourse-related aspects of subordination and coordination, in particular the relationship between subordination/coordination at the sentence level and subordination/coordination - or hierarchical/non-hierarchical organization - at the discourse level. The contributions in part I are concerned with central theoretical questions; part II consists of corpus-based cross-linguistic studies of clause combining and discourse structure, involving at least two of the languages English, German, Dutch, French and Norwegian; part III contains papers addressing specific - predominantly semantic - topics relating to German, English or French; and the papers in part IV approach the topic of subordination, coordination and rhetorical relations from a diachronic (Old Indic and Early Germanic) perspective. The book aims to contribute to a better understanding of information packaging on the sentence and text level related, within a particular language as well as cross-linguistically.
Argumentation Mining
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 o...
Argument Mining
This book is an introduction to the linguistic concepts of argumentation relevant for argument mining, an important research and development activity which can be viewed as a highly complex form of information retrieval, requiring high-level natural language processing technology. While the first four chapters develop the linguistic and conceptual aspects of argument expression, the last four are devoted to their application to argument mining. These chapters investigate the facets of argument annotation, as well as argument mining system architectures and evaluation. How annotations may be used to develop linguistic data and how to train learning algorithms is outlined. A simple implementation is then proposed. The book ends with an analysis of non-verbal argumentative discourse. Argument Mining is an introductory book for engineers or students of linguistics, artificial intelligence and natural language processing. Most, if not all, the concepts of argumentation crucial for argument mining are carefully introduced and illustrated in a simple manner.
Text, Speech, and Dialogue
This book constitutes the proceedings of the 22nd International Conference on Text, Speech, and Dialogue, TSD 2019, held in Ljubljana, Slovenia, in September 2019. The 33 full papers presented in this volume were carefully reviewed and selected from 73 submissions. They were organized in topical sections named text and speech. The book also contains one invited talk in full paper length.
Natural Language Processing – IJCNLP 2005
This book constitutes the thoroughly refereed proceedings of the Second International Joint Conference on Natural Language Processing, IJCNLP 2005, held in Jeju Island, Korea in October 2005. The 88 revised full papers presented in this volume were carefully reviewed and selected from 289 submissions. The papers are organized in topical sections on information retrieval, corpus-based parsing, Web mining, rule-based parsing, disambiguation, text mining, document analysis, ontology and thesaurus, relation extraction, text classification, transliteration, machine translation, question answering, morphological analysis, text summarization, named entity recognition, linguistic resources and tools, discourse analysis, semantic analysis NLP applications, tagging, language models, spoken language, and terminology mining.
Shallow Discourse Parsing for German
The last few decades have seen impressive improvements in several areas of Natural Language Processing. Nevertheless, getting a computer to make sense of the discourse of utterances in a text remains challenging. Several different theories which aim to describe and analyze the coherent structure of a well-written text exist, but with varying degrees of applicability and feasibility for practical use. This book is about shallow discourse parsing, following the paradigm of the Penn Discourse TreeBank, a corpus containing over 1 million words annotated for discourse relations. When it comes to discourse processing, any language other than English must be considered a low-resource language. This...
