This book focuses on abstract entity anaphora in argumentative texts with Asher’s (1993) Segmented Discourse Representation Theory (SDRT) as the theoretical framework, investigating its pragmatic features and exploring its referent interpretation. The data sources include more than 160,000-word argumentative texts (80,000-word English texts and 80,000-word Chinese ones) selected from newspapers, journals, and books in China and America. At first, a comparative study was done between Chinese and English argumentative texts so as to compare the pragmatic features of abstract entity anaphora in the two languages. Then, referent interpretation is explored within the SDRT framework. Although SDRT can account for most of the instances of abstract entity anaphora, it appears incompetent in dealing with some phenomena in the data of our study. Seven problems in SDRT were found, and corresponding solutions were proposed in an attempt to improve this theory. In general, this book has three aspects of significance. Firstly, it establishes abstract entity anaphora as an independent and a special kind of anaphora. Secondly, the research methods are the combination of empirical study and theoretical hypotheses as well as the coalescent of dynamic study and static study. Thirdly, the book is not limited to the application of SDRT to Mandarin Chinese and backward anaphora. Instead, based on the linguistic phenomena in the data, it challenges and improves the theory, and it even negates some aspects and meanwhile brings forward new solutions.

This book focuses on abstract entity anaphora in argumentative texts with Asher's (1993) Segmented Discourse Representation Theory (SDRT) as the theoretical framework, investigating its pragmatic features and exploring its referent interpretation. The data sources include more than 160,000-word argumentative texts (80,000-word English texts and 80,000-word Chinese ones) selected from newspapers, journals, and books in China and America. At first, a comparative study was done between Chinese and English argumentative texts so as to compare the pragmatic features of abstract entity anaphora in the two languages. Then, referent interpretation is explored within the SDRT framework. Although SDRT can account for most of the instances of abstract entity anaphora, it appears incompetent in dealing with some phenomena in the data of our study. Seven problems in SDRT were found, and corresponding solutions were proposed in an attempt to improve this theory. In general, this book hasthree aspects of significance. Firstly, it establishes abstract entity anaphora as an independent and a special kind of anaphora. Secondly, the research methods are the combination of empirical study and theoretical hypotheses as well as the coalescent of dynamic study and static study. Thirdly, the book is not limited to the application of SDRT to Mandarin Chinese and backward anaphora. Instead, based on the linguistic phenomena in the data, it challenges and improves the theory, and it even negates some aspects and meanwhile brings forward new solutions.

The study of the linguistic reflexes of aspect has been an active field of research in various sub-disciplines of linguistics, such as syntax, semantics (including discourse theory) and acquisition studies. However, communication and dissemination of results across these various subfields has often been indirect. This volume solves that problem. The different angles brought together here give us a comprehensive picture of the representation of aspect in the mind/brain of the speaker. The papers in this volume represent the results of a workshop on the syntax, semantics and acquisition of aspect held in 2002 whose purpose was to foment active cross-disciplinary communication. A number of the papers examine the syntactic representation of lexical or situation aspect, while others focus on the syntactic interaction of lexical aspect with grammatical aspect, and of grammatical aspect and tense. Other papers examine the role of aspect in discourse representations, while a third group of papers reports on results of empirical studies on the acquisition of aspect in both first and second language acquisition, and patterns of loss of morphosyntactic reflexes of aspect in language attrition. This volume is of interest to researchers and advanced graduate students in syntax, semantics, discourse representation and language acquisition, particularly those working on tense and aspect.

Most of the papers presented at the 1990 West Coast Conference on Formal Linguistics are included in this volume. This annual publication, not readily available in the past, makes the latest research in formal linguistics available to a wider audience. Aaron Halpern is a graduate student in linguistics at Stanford University.

Reference to Abstract Objects in Discourse presents a novel framework and analysis of the ways we refer to abstract objects in natural language discourse. The book begins with a typology of abstract objects and related entities like eventualities. After an introduction to `bottom up, compositional' discourse representation theory (DRT) and to previous work on abstract objects in DRT (notably work on the semantics of the attitudes), the book turns to a semantic analysis of eventuality and abstract object denoting nominals in English. The book then substantially revises and extends the dynamic semantic framework of DRT to develop an analysis of anaphoric reference to abstract objects and eventualities that exploits discourse structure and the discourse relations that obtain between elements of the structure. A dynamic, semantically based theory of discourse structure (SDRT) is proposed, along with many illustrative examples. Two further chapters then provide the analysis of anaphoric reference to propositions VP ellipsis. The abstract entity anaphoric antecedents are elements of the discourse structures that SDRT develops. The final chapter discusses some logical and philosophical difficulties for a semantic analysis of reference to abstract objects. For semanticists, philosophers of language, computer scientists interested in natural language applications and discourse, philosophical logicians, graduate students in linguistics, philosophy, cognitive science and artificial intelligence.

ntil now there has been no state-of-the-art collection of themost important writings in automatic text summarization. This bookpresents the key developments in the field in an integrated frameworkand suggests future research areas. With the rapid growth of the World Wide Web and electronic information services, information is becoming available on-line at an incredible rate. One result is the oft-decried information overload. No one has time to read everything, yet we often have to make critical decisions based on what we are able to assimilate. The technology of automatic text summarization is becoming indispensable for dealing with this problem. Text summarization is the process of distilling the most important information from a source to produce an abridged version for a particular user or task. Until now there has been no state-of-the-art collection of the most important writings in automatic text summarization. This book presents the key developments in the field in an integrated framework and suggests future research areas. The book is organized into six sections: Classical Approaches, Corpus-Based Approaches, Exploiting Discourse Structure, Knowledge-Rich Approaches, Evaluation Methods, and New Summarization Problem Areas. Contributors D. A. Adams, C. Aone, R. Barzilay, E. Bloedorn, B. Boguraev, R. Brandow, C. Buckley, F. Chen, M. J. Chrzanowski, H. P. Edmundson, M. Elhadad, T. Firmin, R. P. Futrelle, J. Gorlinsky, U. Hahn, E. Hovy, D. Jang, K. Sparck Jones, G. M. Kasper, C. Kennedy, K. Kukich, J. Kupiec, B. Larsen, W. G. Lehnert, C. Lin, H. P. Luhn, I. Mani, D. Marcu, M. Maybury, K. McKeown, A. Merlino, M. Mitra, K. Mitze, M. Moens, A. H. Morris, S. H. Myaeng, M. E. Okurowski, J. Pedersen, J. J. Pollock, D. R. Radev, G. J. Rath, L. F. Rau, U. Reimer, A. Resnick, J. Robin, G. Salton, T. R. Savage, A. Singhal, G. Stein, T. Strzalkowski, S. Teufel, J. Wang, B. Wise, A. Zamora

Discourse anaphora is a challenging linguistic phenomenon that has given rise to research in fields as diverse as linguistics, computational linguistics and cognitive science. Because of the diversity of approaches these fields bring to the anaphora problem, the editors of this volume argue that there needs to be a synthesis, or at least a principled attempt to draw the differing strands of anaphora research together. The selected papers in this volume all contribute to the aim of synthesis and were selected to represent the growing importance of corpus-based and computational approaches to anaphora description, and to developing natural language systems for resolving anaphora in natural language.