Time in Natural Language investigates the relationship between the syntactic and semantic representations of sentences within the domain of tense. Assuming that tenses are semantically composed of three distinct times, Thompson proposes that these times map onto the syntax in a regular fashion: each time is associated with a unique syntactic head. Adopting the Minimalist approach to syntactic theory, this approach makes possible insightful analyses of syntactic structures involving temporal dependency. Thompson argues that, depending on their adjunction site, temporal adverbials modify different parts of the tense structure of the clause. Locating the Event time within VP, it is correctly predicted that an adverbial that modifies the Event time is adjoined to VP. On the other hand, since the Reference time is argued to be within AspP, when an adverbial is adjoined to AspP, it modifies the Reference time. The syntax of temporal adjunct clauses is accounted for in a similar fashion; they may be adjoined either to VP, where they are interpreted as simultaneous with the matrix event, or to AspP, where they are interpreted as nonsimultaneous. Thompson shows that the analysis sheds light on the less-studied issue of the temporal syntax of arguments. Subjects with gerundive relative clauses are claimed to be interpreted in VP at LF when the relative clause is temporally dependent on the Event time of the main clause, and in TP when the relative clause is dependent on the Speech time of the main clause. By extending the syntactic proposal to investigate the discourse-level effects of tense, an original analysis of the discourse representation of tense is proposed. Thompson argues that the discourse representation of tense is based on same primitives and subject to the same principles as the syntactic representation of tense, based on an in-depth examination of the structure and meaning of the temporal discourse adverb then.

The topic of temporal meaning in texts has received considerable attention in recent years from scholars in linguistics, logical semantics, cognitive science, and artificial intelligence. Representing Time in Natural Language offers a systematic and detailed account of how we use temporal information contained in a text or in discourse to reason about the flow of time, inferring the order in which events happened when this is not explicitly stated. A new representational system is designed to formalize an appropriately context-dependent notion of situated inference. The Dynamic Aspect Tree, representing temporal dependencies, constitutes a novel and important dynamic temporal logic, one that makes it easy to see "what follows when" from the information given in an ordinary English text.

Drawing upon tense and aspect theories, temporal logics, and temporal databases, this cross-discipline book examines relevant issues from the three areas, developing a unified theoretical framework that can be used to build natural language interfaces to temporal databases.

According to Peter Ludlow, there is a very close relation between the structure of natural language and that of reality, and one can gain insights into long-standing metaphysical questions by studying the semantics of natural language. In this book Ludlow uses the metaphysics of time as a case study and focuses on the dispute between A-theorists and B-theorists about the nature of time. According to B-theorists, there is no genuine change, but a permanent sequence of events ordered by an earlier-than/later-than relation. According to the version of the A-theory adopted by Ludlow (a position sometimes called "presentism"), there are no past or future events or times; what makes something past or future is how the world stands right now. Ludlow argues that each metaphysical picture is tied to a particular semantical theory of tense and that the dispute can be adjudicated on semantical grounds. A presentism-compatible semantics, he claims, is superior to a B-theory semantics in a number of respects, including its abilities to handle the indexical nature of temporal discourse and to account for facts about language acquisition. Along the way, Ludlow develops a conception of "E-type" temporal anaphora that can account for both temporal anaphora and complex tenses without reference to past and future events. His view has philosophical consequences for theories of logic, self-knowledge, and memory. As for linguistic consequences, Ludlow suggests that the very idea of grammatical tense may have to be dispensed with and replaced with some combination of aspect, modality, and evidentiality.

Meaning is a fundamental concept in Natural Language Processing (NLP), in the tasks of both Natural Language Understanding (NLU) and Natural Language Generation (NLG). This is because the aims of these fields are to build systems that understand what people mean when they speak or write, and that can produce linguistic strings that successfully express to people the intended content. In order for NLP to scale beyond partial, task-specific solutions, researchers in these fields must be informed by what is known about how humans use language to express and understand communicative intents. The purpose of this book is to present a selection of useful information about semantics and pragmatics, as understood in linguistics, in a way that's accessible to and useful for NLP practitioners with minimal (or even no) prior training in linguistics.

This book constitutes the refereed proceedings of the 4th International Workshop on Controlled Natural Language, CNL 2014, held in Galway, Ireland, in August 2014. The 17 full papers and one invited paper presented were carefully reviewed and selected from 26 submissions. The topics include simplified language, plain language, formalized language, processable language, fragments of language, phraseologies, conceptual authoring, language generation, and guided natural language interfaces.

This book constitutes the proceedings of the 7th International Conference on Advances in Natural Language Processing held in Reykjavik, Iceland, in August 2010.

For humans, understanding a natural language sentence or discourse is so effortless that we hardly ever think about it. For machines, however, the task of interpreting natural language, especially grasping meaning beyond the literal content, has proven extremely difficult and requires a large amount of background knowledge. This book focuses on the interpretation of natural language with respect to specific domain knowledge captured in ontologies. The main contribution is an approach that puts ontologies at the center of the interpretation process. This means that ontologies not only provide a formalization of domain knowledge necessary for interpretation but also support and guide the construction of meaning representations. We start with an introduction to ontologies and demonstrate how linguistic information can be attached to them by means of the ontology lexicon model lemon. These lexica then serve as basis for the automatic generation of grammars, which we use to compositionally construct meaning representations that conform with the vocabulary of an underlying ontology. As a result, the level of representational granularity is not driven by language but by the semantic distinctions made in the underlying ontology and thus by distinctions that are relevant in the context of a particular domain. We highlight some of the challenges involved in the construction of ontology-based meaning representations, and show how ontologies can be exploited for ambiguity resolution and the interpretation of temporal expressions. Finally, we present a question answering system that combines all tools and techniques introduced throughout the book in a real-world application, and sketch how the presented approach can scale to larger, multi-domain scenarios in the context of the Semantic Web. Table of Contents: List of Figures / Preface / Acknowledgments / Introduction / Ontologies / Linguistic Formalisms / Ontology Lexica / Grammar Generation / Putting Everything Together / Ontological Reasoning for Ambiguity Resolution / Temporal Interpretation / Ontology-Based Interpretation for Question Answering / Conclusion / Bibliography / Authors' Biographies

This book looks at the various ways in which time is reflected in natural language. All natural languages have developed a rich repetoire of devices to express time, but linguists have tended to concentrate on tense and aspect, rather than discourse principles. Klein considers the four main ways in which language expresses time - the verbal categories of tense and aspect; inherent lexical features of the verb; and various types of temporal adverbs. Klein looks at the interaction of these four devices and suggests new or partly new treatments of these devices to express temporality.