This book is a collection of papers written by outstanding researchers in the newly emerging field of computational semantics. Computational semantics is concerned with the computation of the meanings of linguistic objects such as text fragments, spoken dialogue utterances, and e-mail messages. The meaning of such an object is determined partly by linguistic information and partly by information from the context in which the object occurs. The information from these sources is combined by processes that infer which interpretation of the object applies in the given context. This applies not only to notoriously difficult aspects of interpreting linguistic objects, such as indexicals, anaphora, and metonymy, but also to establishing the precise reference of common nouns and the scopes of noun phrases. The central issue in computational semantics is how processes of finding and combining the relevant linguistic and contextual information into contextually appropriate meanings can be organised. Traditional approaches of applying context information to disambiguated natural language expressions do not work well, due to the massive ambiguity in natural language. Recent work in computational semantics suggests, alternatively, to represent linguistic semantic information in formal structures with underspecification, and to apply context information in inference processes that result in further specification of these representations. Underspecified representation and inference are therefore the key topics in this book. The book is aimed at those linguists, computer scientists, and logicians who take an interest in the computation of meaning, and who want to know what is happening in this exciting field of research.

This book provides an in-depth view of the current issues, problems and approaches in the computation of meaning as expressed in language. Aimed at linguists, computer scientists, and logicians with an interest in the computation of meaning, this book focuses on two main topics in recent research in computational semantics. The first topic is the definition and use of underspecified semantic representations, i.e. formal structures that represent part of the meaning of a linguistic object while leaving other parts unspecified. The second topic discussed is semantic annotation. Annotated corpora have become an indispensable resource both for linguists and for developers of language and speech technology, especially when used in combination with machine learning methods. The annotation in corpora has only marginally addressed semantic information, however, since semantic annotation methodologies are still in their infancy. This book discusses the development and application of such methodologies.

This book assesses the place of logic, mathematics, and computer science in present day, interdisciplinary areas of computational linguistics. Computational linguistics studies natural language in its various manifestations from a computational point of view, both on the theoretical level (modeling grammar modules dealing with natural language form and meaning and the relation between these two) and on the practical level (developing applications for language and speech technology). It is a collection of chapters presenting new and future research. The book focuses mainly on logical approaches to computational processing of natural language and on the applicability of methods and techniques from the study of formal languages, programming, and other specification languages. It presents work from other approaches to linguistics, as well, especially because they inspire new work and approaches.

Computational semantics is concerned with computing the meanings of linguistic objects such as sentences, text fragments, and dialogue contributions. As such it is the interdisciplinary child of semantics, the study of meaning and its linguistic encoding, and computational linguistics, the discipline that is concerned with computations on linguistic objects.
From one parent computational semantics inherits concepts and techniques that have been developed under the banner of formal (or model-theoretic) semantics. This blend of logic and linguistics applies the methods of logic to the description of meaning. From the other parent the young discipline inherits methods and techniques for parsing sentences, for effective and efficient representation of syntactic structure and logical form, and for reasoning with semantic information. Computational semantics integrates and further develops these methods, concepts and techniques.
This book is a collection of papers written by outstanding researchers in the newly emerging field of computational semantics. It is aimed at those linguists, computer scientists, and logicians who want to know more about the algorithmic realisation of meaning in natural language and about what is happening in this field of research. There is a general introduction by the editors.

Edited in collaboration with FoLLI, the Association of Logic, Language and Information, this book constitutes the refereed proceedings of the 22nd International Conference on Formal Grammar, FG 2017, collocated with the European Summer School in Logic, Language and Information in July 2017. The 9 contributed papers were carefully reviewed and selected from 14 submissions. The focus of papers are as follows: Formal and computational phonology, morphology, syntax, semantics and pragmatics Model-theoretic and proof-theoretic methods in linguistics Logical aspects of linguistic structure Constraint-based and resource-sensitive approaches to grammar Learnability of formal grammar Integration of stochastic and symbolic models of grammar Foundational, methodological and architectural issues in grammar and linguistics Mathematical foundations of statistical approaches to linguistic analysis

This book constitutes the refereed proceedings of the 20th and 21st International Conference on Formal Grammar 2015 and 2016, collocated with the European Summer School in Logic, Language and Information in August 2015/2016. The 19 revised full papers presented together with 2 invited talks were carefully reviewed and selected from a total of 34 submissions. The focus of papers are as follows: Formal and computational phonology, morphology, syntax, semantics and pragmatics Model-theoretic and proof-theoretic methods in linguistics Logical aspects of linguistic structure Constraint-based and resource-sensitive approaches to grammar Learnability of formal grammar Integration of stochastic and symbolic models of grammar Foundational, methodological and architectural issues in grammar and linguistics Mathematical foundations of statistical approaches to linguistic analysis

This book provides an in-depth view of the current issues, problems and approaches in the computation of meaning as expressed in language. Aimed at linguists, computer scientists, and logicians with an interest in the computation of meaning, this book focuses on two main topics in recent research in computational semantics. The first topic is the definition and use of underspecified semantic representations, i.e. formal structures that represent part of the meaning of a linguistic object while leaving other parts unspecified. The second topic discussed is semantic annotation. Annotated corpora have become an indispensable resource both for linguists and for developers of language and speech technology, especially when used in combination with machine learning methods. The annotation in corpora has only marginally addressed semantic information, however, since semantic annotation methodologies are still in their infancy. This book discusses the development and application of such methodologies.

This book is a collection of papers written by outstanding researchers in the newly emerging field of computational semantics. Computational semantics is concerned with the computation of the meanings of linguistic objects such as text fragments, spoken dialogue utterances, and e-mail messages. The meaning of such an object is determined partly by linguistic information and partly by information from the context in which the object occurs. The information from these sources is combined by processes that infer which interpretation of the object applies in the given context. This applies not only to notoriously difficult aspects of interpreting linguistic objects, such as indexicals, anaphora, and metonymy, but also to establishing the precise reference of common nouns and the scopes of noun phrases. The central issue in computational semantics is how processes of finding and combining the relevant linguistic and contextual information into contextually appropriate meanings can be organised. Traditional approaches of applying context information to disambiguated natural language expressions do not work well, due to the massive ambiguity in natural language. Recent work in computational semantics suggests, alternatively, to represent linguistic semantic information in formal structures with underspecification, and to apply context information in inference processes that result in further specification of these representations. Underspecified representation and inference are therefore the key topics in this book. The book is aimed at those linguists, computer scientists, and logicians who take an interest in the computation of meaning, and who want to know what is happening in this exciting field of research.

This book is a collection of papers written by outstanding researchers in the newly emerging field of computational semantics. It is aimed at those linguists, computer scientists, and logicians who want to know more about the algorithmic realization of meaning in natural language and about what is happening in this field of research. It includes a general introduction by the editors.

This book constitutes the refereed proceedings of the 19 International Conference on Formal Grammar 2014, collocated with the European Summer School in Logic, Language and Information in August 2014. The 10 revised full papers presented together with 2 invited contributions were carefully reviewed and selected from a total of 19 submissions. Traditionally linguistics has been studied from the point of view of the arts, humanities and letters, but in order to make concrete ideas which might otherwise be fanciful the study of grammar has been increasingly subject to the rigours of computer science and mathematization i.e. articulation in the language of science.

Muskens radically simplifies Montague Semantics and generalises the theory by basing it on a partial higher order logic resulting in a theory which combines important aspects of Montague Semantics and Situation Semantics. Richard Montague formulated the revolutionary insight that we can understand the concept of meaning in ordinary languages much in the same way as we understand the semantics of logical languages. Unfortunately, he formalised his idea in an unnecessarily complex way. The present work does away with unnecessary complexities, obtains a streamlined version of the theory, shows how partialising the theory automatically provides us with the most central concepts of Situation Semantics, and offers a simple logical treatment of propositional attitude verbs, perception verbs and proper names.