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.

Parsing technology is concerned with finding syntactic structure in language. In parsing we have to deal with incomplete and not necessarily accurate formal descriptions of natural languages. Robustness and efficiency are among the main issuesin parsing. Corpora can be used to obtain frequency information about language use. This allows probabilistic parsing, an approach that aims at both robustness and efficiency increase. Approximation techniques, to be applied at the level of language description, parsing strategy, and syntactic representation, have the same objective. Approximation at the level of syntactic representation is also known as underspecification, a traditional technique to deal with syntactic ambiguity. In this book new parsing technologies are collected that aim at attacking the problems of robustness and efficiency by exactly these techniques: the design of probabilistic grammars and efficient probabilistic parsing algorithms, approximation techniques applied to grammars and parsers to increase parsing efficiency, and techniques for underspecification and the integration of semantic information in the syntactic analysis to deal with massive ambiguity. The book gives a state-of-the-art overview of current research and development in parsing technologies. In its chapters we see how probabilistic methods have entered the toolbox of computational linguistics in order to be applied in both parsing theory and parsing practice. The book is both a unique reference for researchers and an introduction to the field for interested graduate students.

A collection of papers written by researchers in the 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 organized. Traditional approaches of applying context information to disambiguated natural language expressions do not work well, due to the ambiguity in natural language.Recent work in computational semantics suggests that linguistic semantic information be represented in formal structures with underspecification, and that context information be applied in inference processes that result in further specification of these representations. Underspecified representation and inference are therefore key topics. This book is aimed at linguists, computer scientists and logicians who take an interest in the computation of meaning, and who want to know what is happening in this field of research.

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.

In Marcus (1980), deterministic parsers were introduced. These are parsers which satisfy the conditions of Marcus's determinism hypothesis, i.e., they are strongly deterministic in the sense that they do not simulate non­ determinism in any way. In later work (Marcus et al. 1983) these parsers were modified to construct descriptions of trees rather than the trees them­ selves. The resulting D-theory parsers, by working with these descriptions, are capable of capturing a certain amount of ambiguity in the structures they build. In this context, it is not clear what it means for a parser to meet the conditions of the determinism hypothesis. The object of this work is to clarify this and other issues pertaining to D-theory parsers and to provide a framework within which these issues can be examined formally. Thus we have a very narrow scope. We make no ar­ guments about the linguistic issues D-theory parsers are meant to address, their relation to other parsing formalisms or the notion of determinism in general. Rather we focus on issues internal to D-theory parsers themselves.

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.

In the current processes of political, economic and cultural changes serious cross-border forms of organized crime receive unprecedented attention as spectacular global media events, as 'threats' of all sorts, and as priority targets of criminal policy and political agendas. Most books on 'global organized crime' focus on one particular region, topic or event, and are written from one specific theoretical and disciplinary framework. The renowned scholars who have contributed to this volume present up-to-date expertise on regions as distant and different as Russia, Colombia, the Netherlands, Israel, Peru and Britain. They tackle phenomena such as international drug trafficking, alien and women smuggling, terrorism, East European organized crime and financial crimes. They show not only how these issues are interrelated, but also the way in which they interact with social, economic and political legitimate structures. The contributors critically question the policies and strategies currently pursued. They explore different theoretical arguments from the perspective of their own disciplines, which include economics, criminology, political science and anthropology.

In the current processes of political, economic and cultural changes serious cross-border forms of organized crime receive unprecedented attention as spectacular global media events, as 'threats' of all sorts, and as priority targets of criminal policy and political agendas. Most books on 'global organized crime' focus on one particular region, topic or event, and are written from one specific theoretical and disciplinary framework. The renowned scholars who have contributed to this volume present up-to-date expertise on regions as distant and different as Russia, Colombia, the Netherlands, Israel, Peru and Britain. They tackle phenomena such as international drug trafficking, alien and women smuggling, terrorism, East European organized crime and financial crimes. They show not only how these issues are interrelated, but also the way in which they interact with social, economic and political legitimate structures. The contributors critically question the policies and strategies currently pursued. They explore different theoretical arguments from the perspective of their own disciplines, which include economics, criminology, political science and anthropology.

Parsing can be defined as the decomposition of complex structures into their constituent parts, and parsing technology as the methods, the tools, and the software to parse automatically. Parsing is a central area of research in the automatic processing of human language. Parsers are being used in many application areas, for example question answering, extraction of information from text, speech recognition and understanding, and machine translation. New developments in parsing technology are thus widely applicable. This book contains contributions from many of today's leading researchers in the area of natural language parsing technology. The contributors describe their most recent work and a diverse range of techniques and results. This collection provides an excellent picture of the current state of affairs in this area. This volume is the third in a series of such collections, and its breadth of coverage should make it suitable both as an overview of the current state ofthe field for graduate students, and as a reference for established researchers.

Parsing can be defined as the decomposition of complex structures into their constituent parts, and parsing technology as the methods, the tools, and the software to parse automatically. Parsing is a central area of research in the automatic processing of human language. Parsers are being used in many application areas, for example question answering, extraction of information from text, speech recognition and understanding, and machine translation. New developments in parsing technology are thus widely applicable. This book contains contributions from many of today's leading researchers in the area of natural language parsing technology. The contributors describe their most recent work and a diverse range of techniques and results. This collection provides an excellent picture of the current state of affairs in this area. This volume is the third in a series of such collections, and its breadth of coverage should make it suitable both as an overview of the current state ofthe field for graduate students, and as a reference for established researchers.

The chapters in this book are revised, updated, and edited versions of 13 selected papers from the Second International Conference on Cooperative Multimodal Communication (CMC'98), held in Tilburg, The Netherlands, in 1998.This wasthesecondconferencein a series,ofwhichthe ?rstonewasheld inEindhoven,TheNetherlands,in1995.Threeofthesepaperswerepresentedby invitedspeakers;thosebyDoniaScott(co-authoredwithRichardPower),Steven Feiner (co-authored with Michele Zhou), and Oliviero Stock (co-authored with Carlo Strapparava and Massimo Zancanaro). The other ten were among the submitted papers that were accepted by the CMC'98 program committee. The editors contributed an introductory chapter to set the stage for the rest of the book. We thank the programcommittee for their excellent and timely feedback to the authors of the submitted papers, and at a later stage for advising on the contents of this volume and for providing additional suggestions for improving theselectedcontributions.Theprogramcommittee consistedofNicholasAsher, NormannBadler,DonBouwhuis,HarryBunt,WalthervonHahn,DieterHuber, Hans Kamp, John Lee, Joseph Mariani, Jean-Claude Martin, Mark Maybury, PaulMcKevitt, RobNederpelt, KeesvanOverveld,RayPerrault,Donia Scott, Jan Treur, Wolfgang Wahlster, Bonnie Webber, Kent Wittenburg, and Henk Zeevat.WethanktheRoyalDutchAcademyofSciences(KNAW)andtheOrga- zationforCooperationamongUniversitiesinBrabant(SOBU)fortheirgrants that supported the conference.

Parsing technology is concerned with finding syntactic structure in language. In parsing we have to deal with incomplete and not necessarily accurate formal descriptions of natural languages. Robustness and efficiency are among the main issuesin parsing. Corpora can be used to obtain frequency information about language use. This allows probabilistic parsing, an approach that aims at both robustness and efficiency increase. Approximation techniques, to be applied at the level of language description, parsing strategy, and syntactic representation, have the same objective. Approximation at the level of syntactic representation is also known as underspecification, a traditional technique to deal with syntactic ambiguity. In this book new parsing technologies are collected that aim at attacking the problems of robustness and efficiency by exactly these techniques: the design of probabilistic grammars and efficient probabilistic parsing algorithms, approximation techniques applied to grammars and parsers to increase parsing efficiency, and techniques for underspecification and the integration of semantic information in the syntactic analysis to deal with massive ambiguity. The book gives a state-of-the-art overview of current research and development in parsing technologies. In its chapters we see how probabilistic methods have entered the toolbox of computational linguistics in order to be applied in both parsing theory and parsing practice. The book is both a unique reference for researchers and an introduction to the field for interested graduate students.

In the current processes of political, economic and cultural changes serious cross-border forms of organized crime receive unprecedented attention as spectacular global media events, as ''threats'' of all sorts, and as priority targets of criminal policy and political agendas. Most books on ''global organized crime'' focus on one particular region, topic or event, and are written from one specific theoretical and disciplinary framework. The renowned scholars who have contributed to this volume present up-to-date expertise on regions as distant and different as Russia, Colombia, the Netherlands, Israel, Peru and Britain. They tackle phenomena such as international drug trafficking, alien and women smuggling, terrorism, East European organized crime and financial crimes. They show not only how these issues are interrelated, but also the way in which they interact with social, economic and political legitimate structures. The contributors critically question the policies and strategies currently pursued. They explore different theoretical arguments from the perspective of their own disciplines, which include economics, criminology, political science and anthropology.

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.

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.

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.

Parsing technology is concerned with finding syntactic structure in language. In parsing we have to deal with incomplete and not necessarily accurate formal descriptions of natural languages. Robustness and efficiency are among the main issuesin parsing. Corpora can be used to obtain frequency information about language use. This allows probabilistic parsing, an approach that aims at both robustness and efficiency increase. Approximation techniques, to be applied at the level of language description, parsing strategy, and syntactic representation, have the same objective. Approximation at the level of syntactic representation is also known as underspecification, a traditional technique to deal with syntactic ambiguity. In this book new parsing technologies are collected that aim at attacking the problems of robustness and efficiency by exactly these techniques: the design of probabilistic grammars and efficient probabilistic parsing algorithms, approximation techniques applied to grammars and parsers to increase parsing efficiency, and techniques for underspecification and the integration of semantic information in the syntactic analysis to deal with massive ambiguity. The book gives a state-of-the-art overview of current research and development in parsing technologies. In its chapters we see how probabilistic methods have entered the toolbox of computational linguistics in order to be applied in both parsing theory and parsing practice. The book is both a unique reference for researchers and an introduction to the field for interested graduate students.

A collection of papers written by researchers in the 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 organized. Traditional approaches of applying context information to disambiguated natural language expressions do not work well, due to the ambiguity in natural language.Recent work in computational semantics suggests that linguistic semantic information be represented in formal structures with underspecification, and that context information be applied in inference processes that result in further specification of these representations. Underspecified representation and inference are therefore key topics. This book is aimed at linguists, computer scientists and logicians who take an interest in the computation of meaning, and who want to know what is happening in this field of research.

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.

In Marcus (1980), deterministic parsers were introduced. These are parsers which satisfy the conditions of Marcus's determinism hypothesis, i.e., they are strongly deterministic in the sense that they do not simulate non­ determinism in any way. In later work (Marcus et al. 1983) these parsers were modified to construct descriptions of trees rather than the trees them­ selves. The resulting D-theory parsers, by working with these descriptions, are capable of capturing a certain amount of ambiguity in the structures they build. In this context, it is not clear what it means for a parser to meet the conditions of the determinism hypothesis. The object of this work is to clarify this and other issues pertaining to D-theory parsers and to provide a framework within which these issues can be examined formally. Thus we have a very narrow scope. We make no ar­ guments about the linguistic issues D-theory parsers are meant to address, their relation to other parsing formalisms or the notion of determinism in general. Rather we focus on issues internal to D-theory parsers themselves.

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.

In the current processes of political, economic and cultural changes serious cross-border forms of organized crime receive unprecedented attention as spectacular global media events, as 'threats' of all sorts, and as priority targets of criminal policy and political agendas. Most books on 'global organized crime' focus on one particular region, topic or event, and are written from one specific theoretical and disciplinary framework. The renowned scholars who have contributed to this volume present up-to-date expertise on regions as distant and different as Russia, Colombia, the Netherlands, Israel, Peru and Britain. They tackle phenomena such as international drug trafficking, alien and women smuggling, terrorism, East European organized crime and financial crimes. They show not only how these issues are interrelated, but also the way in which they interact with social, economic and political legitimate structures. The contributors critically question the policies and strategies currently pursued. They explore different theoretical arguments from the perspective of their own disciplines, which include economics, criminology, political science and anthropology.

In the current processes of political, economic and cultural changes serious cross-border forms of organized crime receive unprecedented attention as spectacular global media events, as 'threats' of all sorts, and as priority targets of criminal policy and political agendas. Most books on 'global organized crime' focus on one particular region, topic or event, and are written from one specific theoretical and disciplinary framework. The renowned scholars who have contributed to this volume present up-to-date expertise on regions as distant and different as Russia, Colombia, the Netherlands, Israel, Peru and Britain. They tackle phenomena such as international drug trafficking, alien and women smuggling, terrorism, East European organized crime and financial crimes. They show not only how these issues are interrelated, but also the way in which they interact with social, economic and political legitimate structures. The contributors critically question the policies and strategies currently pursued. They explore different theoretical arguments from the perspective of their own disciplines, which include economics, criminology, political science and anthropology.

Parsing can be defined as the decomposition of complex structures into their constituent parts, and parsing technology as the methods, the tools, and the software to parse automatically. Parsing is a central area of research in the automatic processing of human language. Parsers are being used in many application areas, for example question answering, extraction of information from text, speech recognition and understanding, and machine translation. New developments in parsing technology are thus widely applicable. This book contains contributions from many of today's leading researchers in the area of natural language parsing technology. The contributors describe their most recent work and a diverse range of techniques and results. This collection provides an excellent picture of the current state of affairs in this area. This volume is the third in a series of such collections, and its breadth of coverage should make it suitable both as an overview of the current state ofthe field for graduate students, and as a reference for established researchers.

Parsing can be defined as the decomposition of complex structures into their constituent parts, and parsing technology as the methods, the tools, and the software to parse automatically. Parsing is a central area of research in the automatic processing of human language. Parsers are being used in many application areas, for example question answering, extraction of information from text, speech recognition and understanding, and machine translation. New developments in parsing technology are thus widely applicable. This book contains contributions from many of today's leading researchers in the area of natural language parsing technology. The contributors describe their most recent work and a diverse range of techniques and results. This collection provides an excellent picture of the current state of affairs in this area. This volume is the third in a series of such collections, and its breadth of coverage should make it suitable both as an overview of the current state ofthe field for graduate students, and as a reference for established researchers.

The chapters in this book are revised, updated, and edited versions of 13 selected papers from the Second International Conference on Cooperative Multimodal Communication (CMC'98), held in Tilburg, The Netherlands, in 1998.This wasthesecondconferencein a series,ofwhichthe ?rstonewasheld inEindhoven,TheNetherlands,in1995.Threeofthesepaperswerepresentedby invitedspeakers;thosebyDoniaScott(co-authoredwithRichardPower),Steven Feiner (co-authored with Michele Zhou), and Oliviero Stock (co-authored with Carlo Strapparava and Massimo Zancanaro). The other ten were among the submitted papers that were accepted by the CMC'98 program committee. The editors contributed an introductory chapter to set the stage for the rest of the book. We thank the programcommittee for their excellent and timely feedback to the authors of the submitted papers, and at a later stage for advising on the contents of this volume and for providing additional suggestions for improving theselectedcontributions.Theprogramcommittee consistedofNicholasAsher, NormannBadler,DonBouwhuis,HarryBunt,WalthervonHahn,DieterHuber, Hans Kamp, John Lee, Joseph Mariani, Jean-Claude Martin, Mark Maybury, PaulMcKevitt, RobNederpelt, KeesvanOverveld,RayPerrault,Donia Scott, Jan Treur, Wolfgang Wahlster, Bonnie Webber, Kent Wittenburg, and Henk Zeevat.WethanktheRoyalDutchAcademyofSciences(KNAW)andtheOrga- zationforCooperationamongUniversitiesinBrabant(SOBU)fortheirgrants that supported the conference.

Parsing technology is concerned with finding syntactic structure in language. In parsing we have to deal with incomplete and not necessarily accurate formal descriptions of natural languages. Robustness and efficiency are among the main issuesin parsing. Corpora can be used to obtain frequency information about language use. This allows probabilistic parsing, an approach that aims at both robustness and efficiency increase. Approximation techniques, to be applied at the level of language description, parsing strategy, and syntactic representation, have the same objective. Approximation at the level of syntactic representation is also known as underspecification, a traditional technique to deal with syntactic ambiguity. In this book new parsing technologies are collected that aim at attacking the problems of robustness and efficiency by exactly these techniques: the design of probabilistic grammars and efficient probabilistic parsing algorithms, approximation techniques applied to grammars and parsers to increase parsing efficiency, and techniques for underspecification and the integration of semantic information in the syntactic analysis to deal with massive ambiguity. The book gives a state-of-the-art overview of current research and development in parsing technologies. In its chapters we see how probabilistic methods have entered the toolbox of computational linguistics in order to be applied in both parsing theory and parsing practice. The book is both a unique reference for researchers and an introduction to the field for interested graduate students.

In the current processes of political, economic and cultural changes serious cross-border forms of organized crime receive unprecedented attention as spectacular global media events, as ''threats'' of all sorts, and as priority targets of criminal policy and political agendas. Most books on ''global organized crime'' focus on one particular region, topic or event, and are written from one specific theoretical and disciplinary framework. The renowned scholars who have contributed to this volume present up-to-date expertise on regions as distant and different as Russia, Colombia, the Netherlands, Israel, Peru and Britain. They tackle phenomena such as international drug trafficking, alien and women smuggling, terrorism, East European organized crime and financial crimes. They show not only how these issues are interrelated, but also the way in which they interact with social, economic and political legitimate structures. The contributors critically question the policies and strategies currently pursued. They explore different theoretical arguments from the perspective of their own disciplines, which include economics, criminology, political science and anthropology.

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.

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.