Anu Korhonen
Biographic Data
| ID | 1380919 |
|---|---|
| NAME | Anu Korhonen |
| GIVEN NAMES | Anu |
| FAMILY NAME | Korhonen |
| SIGNATURE | KORHONEN A |
| AFFILIATIONS | University of Cambridge |
| ORCID | 0000-0002-3692-3144 |
| VERIFIED | Yes |
| TOTAL WORKS | 18 |
| TOTAL CITATIONS | 44 |
| WORKS AS AUTHOR | 18 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2000 |
| LATEST PUBLICATION YEAR | 2022 |
| H-INDEX | 3 |
Rauhattomat unet
Kannattaako historiantutkimuksessa tutkia asioita, joita ei ole oikeasti tapahtunut? Voivatko vaikkapa unet, jotka uneksija toki unissaan kokee mutta joiden suhde ulkoiseen todellisuuteen on hämärä ja välittynyt, auttaa meitä ymmärtämään menneisyyttä? Tarkastelemme tässä teemanumerossa pahojen unien ja painajaisten historiaa ja esitämme, että unilla on paljon annettavaa historiantutkimukselle. Unien historialliseen tutkimukseen liittyy kuitenkin …
Verb Classification Across Languages
Recent developments in language modeling have enabled large text encoders to derive a wealth of linguistic information from raw text corpora without supervision. Their success across natural language processing (NLP) tasks has called into question the role of man-made computational resources, such as verb lexicons, in supporting modern NLP. Still, probing analyses have concurrently exposed the limitations of the knowledge possessed by the large n…
Semantic Data Set Construction from Human Clustering and Spatial Arrangement
Research into representation learning models of lexical semantics usually utilizes some form of intrinsic evaluation to ensure that the learned representations reflect human semantic judgments. Lexical semantic similarity estimation is a widely used evaluation method, but efforts have typically focused on pairwise judgments of words in isolation, or are limited to specific contexts and lexical stimuli. There are limitations with these approaches …
Subcategorization frame identification for learner English
As large-scale learner corpora become increasingly available, it is vital that natural language processing (NLP) technology is developed to provide rich linguistic annotations necessary for second language (L2) research. We present a system for automatically analyzing subcategorization frames (SCFs) for learner English. SCFs link lexis with morphosyntax, shedding light on the interplay between lexical and structural information in learner languag…
Multi-SimLex
We introduce Multi-SimLex, a large-scale lexical resource and evaluation benchmark covering data sets for 12 typologically diverse languages, including major languages (e.g., Mandarin Chinese, Spanish, Russian) as well as less-resourced ones (e.g., Welsh, Kiswahili). Each language data set is annotated for the lexical relation of semantic similarity and contains 1,888 semantically aligned concept pairs, providing a representative coverage of word…
Modeling Language Variation and Universals
Linguistic typology aims to capture structural and semantic variation across the world’s languages. A large-scale typology could provide excellent guidance for multilingual Natural Language Processing (NLP), particularly for languages that suffer from the lack of human labeled resources. We present an extensive literature survey on the use of typological information in the development of NLP techniques. Our survey demonstrates that to date, the u…
Dependency parsing of learner English
Current syntactic annotation of large-scale learner corpora mainly resorts to “standard parsers” trained on native language data. Understanding how these parsers perform on learner data is important for downstream research and application related to learner language. This study evaluates the performance of multiple standard probabilistic parsers on learner English. Our contributions are three-fold. Firstly, we demonstrate that the common practice…
The Several Hours of the Day Had Variety of Employments Assigned to Them’
The article examines early modern Englishwomen’s notions and experiences of time in their daily lives. In contrast to what has been assumed, sixteenth- and seventeenth-century women’s everyday life often involved standard use of clock-time. Women’s activities tended to form habitual schedules that contributed to their experience of temporal order, and increasingly demanded accurate measurement of duration, often overlooked in deliberations of ear…
HyperLex
We introduce HyperLex—a data set and evaluation resource that quantifies the extent of the semantic category membership, that is, type-of relation, also known as hyponymy–hypernymy or lexical entailment (LE) relation between 2,616 concept pairs. Cognitive psychology research has established that typicality and category/class membership are computed in human semantic memory as a gradual rather than binary relation. Nevertheless, most NLP research …
SimLex-999
We present SimLex-999, a gold standard resource for evaluating distributional semantic models that improves on existing resources in several important ways. First, in contrast to gold standards such as WordSim-353 and MEN, it explicitly quantifies similarity rather than association or relatedness so that pairs of entities that are associated but not actually similar (Freud, psychology) have a low rating. We show that, via this focus on similarity…
Probabilistic Distributional Semantics with Latent Variable Models
We describe a probabilistic framework for acquiring selectional preferences of linguistic predicates and for using the acquired representations to model the effects of context on word meaning. Our framework uses Bayesian latent-variable models inspired by, and extending, the well-known Latent Dirichlet Allocation (LDA) model of topical structure in documents; when applied to predicate–argument data, topic models automatically induce semantic clas…
Statistical Metaphor Processing
Metaphor is highly frequent in language, which makes its computational processing indispensable for real-world NLP applications addressing semantic tasks. Previous approaches to metaphor modeling rely on task-specific hand-coded knowledge and operate on a limited domain or a subset of phenomena. We present the first integrated open-domain statistical model of metaphor processing in unrestricted text. Our method first identifies metaphorical expre…
The Intellectual Culture of PuritanWomen, 1558–1680
Johanna Harris and Elizabeth Scott-Baumann, eds. The Intellectual Culture of Puritan Women, 1558–1680. Early Modern Literature in History. New York: Palgrave Macmillan, 2011. xx + 250 pp. index. illus. bibl. $85. ISBN: 978–0–230–22864–1. - Volume 64 Issue 2
The Witch in the Alehouse Imaginary Encounters in Cultural History
Strange Things Out of Hair
In the recent history of masculinity, the male body has gained ground as a fresh field of interest, parallel in many ways to earlier emphases on the female body in women's history. This article explores male baldness as a constituent of masculinity in early modern England. Drawing from printed texts of various genres, combined with evidence from diaries and (auto)biographical writings, it shows that baldness could have many meanings to sixteenth-…
To See and To Be Seen
This article discusses physical beauty and its presence in early modern London streets. Based mainly on the evidence of sixteenth- and early seventeenth-century printed literature, it concentrates on how good looks, visibility, and gender were thought to interact in encounters between gazers and the gazed at. Treating the street as both physical space and a metaphor for visibility, it suggests three perspectives through which the relationship bet…
Postcommunist aid negotiation
The essay synthesises ‘stylised prescriptions’ from review of recent research on interactions of postcommunist countries and the West since 1989. The essay considers aid negotiation by postcommunist recipients and multilateral and bilateral donors in economic reform, democratisation, civil society development, environmental policy, the social sector and science and education, and the effects of East–West interactions on those of postcommunist cou…
Carnival and the Carnivalesque
Konrad EISENBICHLER: Introduction. Peter H. GREENFIELD: The Carnivalesque in the Robin Hood Games and King Ales of Southern England. Roberta MULLINI: 'Better be sott Somer than Sage Salamon': Carnivalesque Features in John Heywood's Plays. Samuel KINSER: Why Is Carnival So Wild? James R. ERB: Fictions, Realities and the Fifteenth-Century Nuremberg Fastnachtspiel. Leif SONDERGAARD: The Judgement of Paris: Three Late Medieval Fastnachtspiele from N…
SimLex-999
We present SimLex-999, a gold standard resource for evaluating distributional semantic models that improves on existing resources in several important ways. First, in contrast to gold standards such as WordSim-353 and MEN, it explicitly quantifies similarity rather than association or relatedness so that pairs of entities that are associated but not actually similar (Freud, psychology) have a low rating. We show that, via this focus on similarity…
Modeling Language Variation and Universals
Linguistic typology aims to capture structural and semantic variation across the world’s languages. A large-scale typology could provide excellent guidance for multilingual Natural Language Processing (NLP), particularly for languages that suffer from the lack of human labeled resources. We present an extensive literature survey on the use of typological information in the development of NLP techniques. Our survey demonstrates that to date, the u…
Statistical Metaphor Processing
Metaphor is highly frequent in language, which makes its computational processing indispensable for real-world NLP applications addressing semantic tasks. Previous approaches to metaphor modeling rely on task-specific hand-coded knowledge and operate on a limited domain or a subset of phenomena. We present the first integrated open-domain statistical model of metaphor processing in unrestricted text. Our method first identifies metaphorical expre…
Dependency parsing of learner English
Current syntactic annotation of large-scale learner corpora mainly resorts to “standard parsers” trained on native language data. Understanding how these parsers perform on learner data is important for downstream research and application related to learner language. This study evaluates the performance of multiple standard probabilistic parsers on learner English. Our contributions are three-fold. Firstly, we demonstrate that the common practice…
HyperLex
We introduce HyperLex—a data set and evaluation resource that quantifies the extent of the semantic category membership, that is, type-of relation, also known as hyponymy–hypernymy or lexical entailment (LE) relation between 2,616 concept pairs. Cognitive psychology research has established that typicality and category/class membership are computed in human semantic memory as a gradual rather than binary relation. Nevertheless, most NLP research …
Semantic Data Set Construction from Human Clustering and Spatial Arrangement
Research into representation learning models of lexical semantics usually utilizes some form of intrinsic evaluation to ensure that the learned representations reflect human semantic judgments. Lexical semantic similarity estimation is a widely used evaluation method, but efforts have typically focused on pairwise judgments of words in isolation, or are limited to specific contexts and lexical stimuli. There are limitations with these approaches …
Multi-SimLex
We introduce Multi-SimLex, a large-scale lexical resource and evaluation benchmark covering data sets for 12 typologically diverse languages, including major languages (e.g., Mandarin Chinese, Spanish, Russian) as well as less-resourced ones (e.g., Welsh, Kiswahili). Each language data set is annotated for the lexical relation of semantic similarity and contains 1,888 semantically aligned concept pairs, providing a representative coverage of word…
Probabilistic Distributional Semantics with Latent Variable Models
We describe a probabilistic framework for acquiring selectional preferences of linguistic predicates and for using the acquired representations to model the effects of context on word meaning. Our framework uses Bayesian latent-variable models inspired by, and extending, the well-known Latent Dirichlet Allocation (LDA) model of topical structure in documents; when applied to predicate–argument data, topic models automatically induce semantic clas…
To See and To Be Seen
This article discusses physical beauty and its presence in early modern London streets. Based mainly on the evidence of sixteenth- and early seventeenth-century printed literature, it concentrates on how good looks, visibility, and gender were thought to interact in encounters between gazers and the gazed at. Treating the street as both physical space and a metaphor for visibility, it suggests three perspectives through which the relationship bet…
Carnival and the Carnivalesque
Konrad EISENBICHLER: Introduction. Peter H. GREENFIELD: The Carnivalesque in the Robin Hood Games and King Ales of Southern England. Roberta MULLINI: 'Better be sott Somer than Sage Salamon': Carnivalesque Features in John Heywood's Plays. Samuel KINSER: Why Is Carnival So Wild? James R. ERB: Fictions, Realities and the Fifteenth-Century Nuremberg Fastnachtspiel. Leif SONDERGAARD: The Judgement of Paris: Three Late Medieval Fastnachtspiele from N…
Postcommunist aid negotiation
The essay synthesises ‘stylised prescriptions’ from review of recent research on interactions of postcommunist countries and the West since 1989. The essay considers aid negotiation by postcommunist recipients and multilateral and bilateral donors in economic reform, democratisation, civil society development, environmental policy, the social sector and science and education, and the effects of East–West interactions on those of postcommunist cou…
To See and To Be Seen
This article discusses physical beauty and its presence in early modern London streets. Based mainly on the evidence of sixteenth- and early seventeenth-century printed literature, it concentrates on how good looks, visibility, and gender were thought to interact in encounters between gazers and the gazed at. Treating the street as both physical space and a metaphor for visibility, it suggests three perspectives through which the relationship bet…
The Witch in the Alehouse Imaginary Encounters in Cultural History
Strange Things Out of Hair
In the recent history of masculinity, the male body has gained ground as a fresh field of interest, parallel in many ways to earlier emphases on the female body in women's history. This article explores male baldness as a constituent of masculinity in early modern England. Drawing from printed texts of various genres, combined with evidence from diaries and (auto)biographical writings, it shows that baldness could have many meanings to sixteenth-…
The Intellectual Culture of PuritanWomen, 1558–1680
Johanna Harris and Elizabeth Scott-Baumann, eds. The Intellectual Culture of Puritan Women, 1558–1680. Early Modern Literature in History. New York: Palgrave Macmillan, 2011. xx + 250 pp. index. illus. bibl. $85. ISBN: 978–0–230–22864–1. - Volume 64 Issue 2
Statistical Metaphor Processing
Metaphor is highly frequent in language, which makes its computational processing indispensable for real-world NLP applications addressing semantic tasks. Previous approaches to metaphor modeling rely on task-specific hand-coded knowledge and operate on a limited domain or a subset of phenomena. We present the first integrated open-domain statistical model of metaphor processing in unrestricted text. Our method first identifies metaphorical expre…
Probabilistic Distributional Semantics with Latent Variable Models
We describe a probabilistic framework for acquiring selectional preferences of linguistic predicates and for using the acquired representations to model the effects of context on word meaning. Our framework uses Bayesian latent-variable models inspired by, and extending, the well-known Latent Dirichlet Allocation (LDA) model of topical structure in documents; when applied to predicate–argument data, topic models automatically induce semantic clas…
SimLex-999
We present SimLex-999, a gold standard resource for evaluating distributional semantic models that improves on existing resources in several important ways. First, in contrast to gold standards such as WordSim-353 and MEN, it explicitly quantifies similarity rather than association or relatedness so that pairs of entities that are associated but not actually similar (Freud, psychology) have a low rating. We show that, via this focus on similarity…
The Several Hours of the Day Had Variety of Employments Assigned to Them’
The article examines early modern Englishwomen’s notions and experiences of time in their daily lives. In contrast to what has been assumed, sixteenth- and seventeenth-century women’s everyday life often involved standard use of clock-time. Women’s activities tended to form habitual schedules that contributed to their experience of temporal order, and increasingly demanded accurate measurement of duration, often overlooked in deliberations of ear…
HyperLex
We introduce HyperLex—a data set and evaluation resource that quantifies the extent of the semantic category membership, that is, type-of relation, also known as hyponymy–hypernymy or lexical entailment (LE) relation between 2,616 concept pairs. Cognitive psychology research has established that typicality and category/class membership are computed in human semantic memory as a gradual rather than binary relation. Nevertheless, most NLP research …
Dependency parsing of learner English
Current syntactic annotation of large-scale learner corpora mainly resorts to “standard parsers” trained on native language data. Understanding how these parsers perform on learner data is important for downstream research and application related to learner language. This study evaluates the performance of multiple standard probabilistic parsers on learner English. Our contributions are three-fold. Firstly, we demonstrate that the common practice…
Modeling Language Variation and Universals
Linguistic typology aims to capture structural and semantic variation across the world’s languages. A large-scale typology could provide excellent guidance for multilingual Natural Language Processing (NLP), particularly for languages that suffer from the lack of human labeled resources. We present an extensive literature survey on the use of typological information in the development of NLP techniques. Our survey demonstrates that to date, the u…
Subcategorization frame identification for learner English
As large-scale learner corpora become increasingly available, it is vital that natural language processing (NLP) technology is developed to provide rich linguistic annotations necessary for second language (L2) research. We present a system for automatically analyzing subcategorization frames (SCFs) for learner English. SCFs link lexis with morphosyntax, shedding light on the interplay between lexical and structural information in learner languag…
Multi-SimLex
We introduce Multi-SimLex, a large-scale lexical resource and evaluation benchmark covering data sets for 12 typologically diverse languages, including major languages (e.g., Mandarin Chinese, Spanish, Russian) as well as less-resourced ones (e.g., Welsh, Kiswahili). Each language data set is annotated for the lexical relation of semantic similarity and contains 1,888 semantically aligned concept pairs, providing a representative coverage of word…
Semantic Data Set Construction from Human Clustering and Spatial Arrangement
Research into representation learning models of lexical semantics usually utilizes some form of intrinsic evaluation to ensure that the learned representations reflect human semantic judgments. Lexical semantic similarity estimation is a widely used evaluation method, but efforts have typically focused on pairwise judgments of words in isolation, or are limited to specific contexts and lexical stimuli. There are limitations with these approaches …
Rauhattomat unet
Kannattaako historiantutkimuksessa tutkia asioita, joita ei ole oikeasti tapahtunut? Voivatko vaikkapa unet, jotka uneksija toki unissaan kokee mutta joiden suhde ulkoiseen todellisuuteen on hämärä ja välittynyt, auttaa meitä ymmärtämään menneisyyttä? Tarkastelemme tässä teemanumerossa pahojen unien ja painajaisten historiaa ja esitämme, että unilla on paljon annettavaa historiantutkimukselle. Unien historialliseen tutkimukseen liittyy kuitenkin …
Verb Classification Across Languages
Recent developments in language modeling have enabled large text encoders to derive a wealth of linguistic information from raw text corpora without supervision. Their success across natural language processing (NLP) tasks has called into question the role of man-made computational resources, such as verb lexicons, in supporting modern NLP. Still, probing analyses have concurrently exposed the limitations of the knowledge possessed by the large n…
Topic Modeling (10 works) · Artificial Intelligence (9 works) · Computer Science (9 works) · Natural language processing (9 works) · Natural Language Processing Techniques (9 works) · Linguistics (6 works) · History (5 works) · Sociology (5 works) · Art (4 works) · History (4 works)