Joakim Nivre
Dados Biográficos
| ID | 6536249 |
|---|---|
| NOME | Joakim Nivre |
| PRENOMES | Joakim |
| SOBRENOME | Nivre |
| ASSINATURA | NIVRE J |
| AFILIAÇÕES | Uppsala University |
| ORCID | 0000-0002-7873-3971 |
| VERIFICADO | Sim |
| TOTAL DE OBRAS | 18 |
| TOTAL DE CITAÇÕES | 26 |
| OBRAS COMO AUTOR | 18 |
| OBRAS COMO EDITOR | 0 |
| PRIMEIRO ANO DE PUBLICAÇÃO | 1990 |
| ANO MAIS RECENTE DE PUBLICAÇÃO | 2026 |
| ÍNDICE H | 3 |
Multilevel phylogenetic inference of syntactic harmony in Indo-European
One of the most well-established typological universals is that languages tend to order the grammatical head and its dependents consistently. This harmonic principle has been attributed to cognitive benefits that facilitate language processing and learning efficiency. However, there is little corpus-based research disentangling the evolutionary processes that shape the crosslinguistic distribution of harmony. Using 58 dependency-annotated corpora…
Using Multilingual Language Technology to Classify Open-Ended Survey Responses
Recent advancements in language technology have opened new avenues in political science for automating and improving survey data analysis across diverse cultural contexts. This article examines the effectiveness of language models (LMs) in analyzing open-ended survey responses about democracy from ten countries, contrasting these modern tools with traditional survey methodologies. Utilizing a predefined coding scheme and a subset of pre-annotated…
Nucleus Composition in Transition-based Dependency Parsing
Dependency-based approaches to syntactic analysis assume that syntactic structure can be analyzed in terms of binary asymmetric dependency relations holding between elementary syntactic units. Computational models for dependency parsing almost universally assume that an elementary syntactic unit is a word, while the influential theory of Lucien Tesnière instead posits a more abstract notion of nucleus, which may be realized as one or more words. …
Universal Dependencies
Universal dependencies (UD) is a framework for morphosyntactic annotation of human language, which to date has been used to create treebanks for more than 100 languages. In this article, we outline the linguistic theory of the UD framework, which draws on a long tradition of typologically oriented grammatical theories. Grammatical relations between words are centrally used to explain how predicate–argument structures are encoded morphosyntactical…
What Should/Do/Can LSTMs Learn When Parsing Auxiliary Verb Constructions
There is a growing interest in investigating what neural NLP models learn about language. A prominent open question is the question of whether or not it is necessary to model hierarchical structure. We present a linguistic investigation of a neural parser adding insights to this question. We look at transitivity and agreement information of auxiliary verb constructions (AVCs) in comparison to finite main verbs (FMVs). This comparison is motivated…
Dependency Grammar
Dependency grammar is a descriptive and theoretical tradition in linguistics that can be traced back to antiquity. It has long been influential in the European linguistics tradition and has more recently become a mainstream approach to representing syntactic and semantic structure in natural language processing. In this review, we introduce the basic theoretical assumptions of dependency grammar and review some key aspects in which different depe…
Arc-Eager Parsing with the Tree Constraint
The arc-eager system for transition-based dependency parsing is widely used in natural language processing despite the fact that it does not guarantee that the output is a well-formed dependency tree. We propose a simple modification to the original system that enforces the tree constraint without requiring any modification to the parser training procedure. Experiments on multiple languages show that the method on average achieves 72% of the erro…
Divisible Transition Systems and Multiplanar Dependency Parsing
Transition-based parsing is a widely used approach for dependency parsing that combines high efficiency with expressive feature models. Many different transition systems have been proposed, often formalized in slightly different frameworks. In this article, we show that a large number of the known systems for projective dependency parsing can be viewed as variants of the same stack-based system with a small set of elementary transitions that can …
Going to the Roots of Dependency Parsing
Dependency trees used in syntactic parsing often include a root node representing a dummy word prefixed or suffixed to the sentence, a device that is generally considered a mere technical convenience and is tacitly assumed to have no impact on empirical results. We demonstrate that this assumption is false and that the accuracy of data-driven dependency parsers can in fact be sensitive to the existence and placement of the dummy root node. In par…
Parsing Morphologically Rich Languages
Parsing is a key task in natural language processing. It involves predicting, for each natural language sentence, an abstract representation of the grammatical entities in the sentence and the relations between these entities. This representation provides an interface to compositional semantics and to the notions of “who did what to whom.” The last two decades have seen great advances in parsing English, leading to major leaps also in the perform…
Dependency Parsing
Dependency parsing is a form of syntactic parsing of natural language based on the theoretical tradition of dependency grammar. It has recently gained widespread interest in the computational linguistics community and has been used for applications such as information extraction, machine translation and question answering. In this article, we review the current state of the art in dependency parsing, starting with a characterization of the basic …
Algorithms for Deterministic Incremental Dependency Parsing
Parsing algorithms that process the input from left to right and construct a single derivation have often been considered inadequate for natural language parsing because of the massive ambiguity typically found in natural language grammars. Nevertheless, it has been shown that such algorithms, combined with treebank-induced classifiers, can be used to build highly accurate disambiguating parsers, in particular for dependency-based syntactic repre…
Dependency Parsing of Turkish
The suitability of different parsing methods for different languages is an important topic in syntactic parsing. Especially lesser-studied languages, typologically different from the languages for which methods have originally been developed, pose interesting challenges in this respect. This article presents an investigation of data-driven dependency parsing of Turkish, an agglutinative, free constituent order language that can be seen as the rep…
Dependency Parsing of Turkish
The suitability of different parsing methods for different languages is an important topic in syntactic parsing. Especially lesser-studied languages, typologically different from the languages for which methods have originally been developed, pose interesting challenges in this respect. This article presents an investigation of data-driven dependency parsing of Turkish, an agglutinative, free constituent order language that can be seen as the rep…
Three Perspectives on Swedish Indefinite Determiners
This article investigates the meaning and use of singular indefinite determiners in Swedish, in particular the way in which the existential determiner någon/något contrasts with the indefinite article en/ett in different contexts. The problem is approached from three different perspectives, the first being a contrastive Scandinavian perspective, where the Swedish data are reviewed in the light of contrastive data from the closely related language…
Tagging a Corpus of Spoken Swedish
In this article, we present and evaluate a method for training a statistical part-of-speech tagger on data from written language and then adapting it to the requirements of tagging a corpus of transcribed spoken language, in our case spoken Swedish. This is currently a significant problem for many research groups working with spoken language, since the availability of tagged training data from spoken language is still very limited for most langua…
On the Semantics and Pragmatics of Linguistic Feedback
This paper is an exploration in the semantics and pragmatics of linguistic feedback, i. e. linguistic mechanisms which enable the participants in spoken interaction to exchange information about basic communicative functions, such as contact, perception, understanding, and attitudinal reactions to the communicated content. Special attention is given to the type of reaction conveyed by feedback utterances, the communicative status of the informati…
Speech Management—on the Non-written Life of Speech
This paper introduces the concept of speech management (SM), which refers to processes whereby a speaker manages his or her linguistic contributions to a communicative interaction, and which involves phenomena which have previously been studied under such rubrics as “planning”, “editing”, “(self-)repair”, etc. It is argued that SM phenomena exhibit considerable systematicity and regularity and must be considered part of the linguistic system. Fur…
Dependency Grammar
Dependency grammar is a descriptive and theoretical tradition in linguistics that can be traced back to antiquity. It has long been influential in the European linguistics tradition and has more recently become a mainstream approach to representing syntactic and semantic structure in natural language processing. In this review, we introduce the basic theoretical assumptions of dependency grammar and review some key aspects in which different depe…
Universal Dependencies
Universal dependencies (UD) is a framework for morphosyntactic annotation of human language, which to date has been used to create treebanks for more than 100 languages. In this article, we outline the linguistic theory of the UD framework, which draws on a long tradition of typologically oriented grammatical theories. Grammatical relations between words are centrally used to explain how predicate–argument structures are encoded morphosyntactical…
Algorithms for Deterministic Incremental Dependency Parsing
Parsing algorithms that process the input from left to right and construct a single derivation have often been considered inadequate for natural language parsing because of the massive ambiguity typically found in natural language grammars. Nevertheless, it has been shown that such algorithms, combined with treebank-induced classifiers, can be used to build highly accurate disambiguating parsers, in particular for dependency-based syntactic repre…
Divisible Transition Systems and Multiplanar Dependency Parsing
Transition-based parsing is a widely used approach for dependency parsing that combines high efficiency with expressive feature models. Many different transition systems have been proposed, often formalized in slightly different frameworks. In this article, we show that a large number of the known systems for projective dependency parsing can be viewed as variants of the same stack-based system with a small set of elementary transitions that can …
Parsing Morphologically Rich Languages
Parsing is a key task in natural language processing. It involves predicting, for each natural language sentence, an abstract representation of the grammatical entities in the sentence and the relations between these entities. This representation provides an interface to compositional semantics and to the notions of “who did what to whom.” The last two decades have seen great advances in parsing English, leading to major leaps also in the perform…
Dependency Parsing of Turkish
The suitability of different parsing methods for different languages is an important topic in syntactic parsing. Especially lesser-studied languages, typologically different from the languages for which methods have originally been developed, pose interesting challenges in this respect. This article presents an investigation of data-driven dependency parsing of Turkish, an agglutinative, free constituent order language that can be seen as the rep…
Tagging a Corpus of Spoken Swedish
In this article, we present and evaluate a method for training a statistical part-of-speech tagger on data from written language and then adapting it to the requirements of tagging a corpus of transcribed spoken language, in our case spoken Swedish. This is currently a significant problem for many research groups working with spoken language, since the availability of tagged training data from spoken language is still very limited for most langua…
Going to the Roots of Dependency Parsing
Dependency trees used in syntactic parsing often include a root node representing a dummy word prefixed or suffixed to the sentence, a device that is generally considered a mere technical convenience and is tacitly assumed to have no impact on empirical results. We demonstrate that this assumption is false and that the accuracy of data-driven dependency parsers can in fact be sensitive to the existence and placement of the dummy root node. In par…
Dependency Parsing of Turkish
The suitability of different parsing methods for different languages is an important topic in syntactic parsing. Especially lesser-studied languages, typologically different from the languages for which methods have originally been developed, pose interesting challenges in this respect. This article presents an investigation of data-driven dependency parsing of Turkish, an agglutinative, free constituent order language that can be seen as the rep…
Speech Management—on the Non-written Life of Speech
This paper introduces the concept of speech management (SM), which refers to processes whereby a speaker manages his or her linguistic contributions to a communicative interaction, and which involves phenomena which have previously been studied under such rubrics as “planning”, “editing”, “(self-)repair”, etc. It is argued that SM phenomena exhibit considerable systematicity and regularity and must be considered part of the linguistic system. Fur…
On the Semantics and Pragmatics of Linguistic Feedback
This paper is an exploration in the semantics and pragmatics of linguistic feedback, i. e. linguistic mechanisms which enable the participants in spoken interaction to exchange information about basic communicative functions, such as contact, perception, understanding, and attitudinal reactions to the communicated content. Special attention is given to the type of reaction conveyed by feedback utterances, the communicative status of the informati…
Tagging a Corpus of Spoken Swedish
In this article, we present and evaluate a method for training a statistical part-of-speech tagger on data from written language and then adapting it to the requirements of tagging a corpus of transcribed spoken language, in our case spoken Swedish. This is currently a significant problem for many research groups working with spoken language, since the availability of tagged training data from spoken language is still very limited for most langua…
Three Perspectives on Swedish Indefinite Determiners
This article investigates the meaning and use of singular indefinite determiners in Swedish, in particular the way in which the existential determiner någon/något contrasts with the indefinite article en/ett in different contexts. The problem is approached from three different perspectives, the first being a contrastive Scandinavian perspective, where the Swedish data are reviewed in the light of contrastive data from the closely related language…
Algorithms for Deterministic Incremental Dependency Parsing
Parsing algorithms that process the input from left to right and construct a single derivation have often been considered inadequate for natural language parsing because of the massive ambiguity typically found in natural language grammars. Nevertheless, it has been shown that such algorithms, combined with treebank-induced classifiers, can be used to build highly accurate disambiguating parsers, in particular for dependency-based syntactic repre…
Dependency Parsing of Turkish
The suitability of different parsing methods for different languages is an important topic in syntactic parsing. Especially lesser-studied languages, typologically different from the languages for which methods have originally been developed, pose interesting challenges in this respect. This article presents an investigation of data-driven dependency parsing of Turkish, an agglutinative, free constituent order language that can be seen as the rep…
Dependency Parsing of Turkish
The suitability of different parsing methods for different languages is an important topic in syntactic parsing. Especially lesser-studied languages, typologically different from the languages for which methods have originally been developed, pose interesting challenges in this respect. This article presents an investigation of data-driven dependency parsing of Turkish, an agglutinative, free constituent order language that can be seen as the rep…
Dependency Parsing
Dependency parsing is a form of syntactic parsing of natural language based on the theoretical tradition of dependency grammar. It has recently gained widespread interest in the computational linguistics community and has been used for applications such as information extraction, machine translation and question answering. In this article, we review the current state of the art in dependency parsing, starting with a characterization of the basic …
Going to the Roots of Dependency Parsing
Dependency trees used in syntactic parsing often include a root node representing a dummy word prefixed or suffixed to the sentence, a device that is generally considered a mere technical convenience and is tacitly assumed to have no impact on empirical results. We demonstrate that this assumption is false and that the accuracy of data-driven dependency parsers can in fact be sensitive to the existence and placement of the dummy root node. In par…
Parsing Morphologically Rich Languages
Parsing is a key task in natural language processing. It involves predicting, for each natural language sentence, an abstract representation of the grammatical entities in the sentence and the relations between these entities. This representation provides an interface to compositional semantics and to the notions of “who did what to whom.” The last two decades have seen great advances in parsing English, leading to major leaps also in the perform…
Divisible Transition Systems and Multiplanar Dependency Parsing
Transition-based parsing is a widely used approach for dependency parsing that combines high efficiency with expressive feature models. Many different transition systems have been proposed, often formalized in slightly different frameworks. In this article, we show that a large number of the known systems for projective dependency parsing can be viewed as variants of the same stack-based system with a small set of elementary transitions that can …
Arc-Eager Parsing with the Tree Constraint
The arc-eager system for transition-based dependency parsing is widely used in natural language processing despite the fact that it does not guarantee that the output is a well-formed dependency tree. We propose a simple modification to the original system that enforces the tree constraint without requiring any modification to the parser training procedure. Experiments on multiple languages show that the method on average achieves 72% of the erro…
Dependency Grammar
Dependency grammar is a descriptive and theoretical tradition in linguistics that can be traced back to antiquity. It has long been influential in the European linguistics tradition and has more recently become a mainstream approach to representing syntactic and semantic structure in natural language processing. In this review, we introduce the basic theoretical assumptions of dependency grammar and review some key aspects in which different depe…
What Should/Do/Can LSTMs Learn When Parsing Auxiliary Verb Constructions
There is a growing interest in investigating what neural NLP models learn about language. A prominent open question is the question of whether or not it is necessary to model hierarchical structure. We present a linguistic investigation of a neural parser adding insights to this question. We look at transitivity and agreement information of auxiliary verb constructions (AVCs) in comparison to finite main verbs (FMVs). This comparison is motivated…
Universal Dependencies
Universal dependencies (UD) is a framework for morphosyntactic annotation of human language, which to date has been used to create treebanks for more than 100 languages. In this article, we outline the linguistic theory of the UD framework, which draws on a long tradition of typologically oriented grammatical theories. Grammatical relations between words are centrally used to explain how predicate–argument structures are encoded morphosyntactical…
Nucleus Composition in Transition-based Dependency Parsing
Dependency-based approaches to syntactic analysis assume that syntactic structure can be analyzed in terms of binary asymmetric dependency relations holding between elementary syntactic units. Computational models for dependency parsing almost universally assume that an elementary syntactic unit is a word, while the influential theory of Lucien Tesnière instead posits a more abstract notion of nucleus, which may be realized as one or more words. …
Multilevel phylogenetic inference of syntactic harmony in Indo-European
One of the most well-established typological universals is that languages tend to order the grammatical head and its dependents consistently. This harmonic principle has been attributed to cognitive benefits that facilitate language processing and learning efficiency. However, there is little corpus-based research disentangling the evolutionary processes that shape the crosslinguistic distribution of harmony. Using 58 dependency-annotated corpora…
Using Multilingual Language Technology to Classify Open-Ended Survey Responses
Recent advancements in language technology have opened new avenues in political science for automating and improving survey data analysis across diverse cultural contexts. This article examines the effectiveness of language models (LMs) in analyzing open-ended survey responses about democracy from ten countries, contrasting these modern tools with traditional survey methodologies. Utilizing a predefined coding scheme and a subset of pre-annotated…
Computer Science (16 obras) · Artificial Intelligence (14 obras) · Natural Language Processing Techniques (14 obras) · Natural language processing (12 obras) · Topic Modeling (12 obras) · Linguistics (11 obras) · Dependency grammar (10 obras) · Parsing (10 obras) · Dependency (UML (8 obras) · Bottom-up parsing (6 obras)