Sophia Ananiadou
Datos Biográficos
| ID | 1753574 |
|---|---|
| NOMBRE | Sophia Ananiadou |
| NOMBRES | Sophia |
| APELLIDO | Ananiadou |
| FIRMA | ANANIADOU S |
| AFILIACIONES | University of Manchester |
| ORCID | 0000-0002-4097-9191 |
| VERIFICADO | Sí |
| TOTAL DE OBRAS | 9 |
| TOTAL DE CITAS | 4 |
| OBRAS COMO AUTOR | 9 |
| OBRAS COMO EDITOR | 0 |
| PRIMER AÑO DE PUBLICACIÓN | 2000 |
| AÑO MÁS RECIENTE DE PUBLICACIÓN | 2026 |
| ÍNDICE H | 1 |
Religious bias landscape in language and text-to-image models
On revolutions
Sometimes the normal course of events is disrupted by a particularly swift and profound change. Historians have often referred to such changes as “revolutions”, and, though they have identified many of them, they have rarely supported their claims with statistical evidence. Here, we present a method to identify revolutions based on a measure of multivariate rate of change called Foote novelty. We define revolutions as those periods of time when t…
Cited text span identification for scientific summarisation using pre-trained encoders
We present our approach for the identification of cited text spans in scientific literature, using pre-trained encoders (BERT) in combination with different neural networks. We further experiment to assess the impact of using these cited text spans as input in BERT-based extractive summarisation methods. Inspired and motivated by the CL-SciSumm shared tasks, we explore different methods to adapt pre-trained models which are tuned for generic doma…
The pace of modern culture
Hyphen
Narrative clinical records and biomedical articles constitute rich sources of information about phenotypes , i.e., markers distinguishing individuals with specific medical conditions from the general population. Phenotypes help clinicians to provide personalised treatments. However, locating information about them within huge document repositories is difficult, since each phenotypic concept can be mentioned in many ways. Normalisation methods aut…
Supporting Systematic Reviews Using Text Mining
In this article, we describe how we are using text mining solutions to enhance the production of systematic reviews. The aims of this collaborative project are the development of a text mining framework to support systematic reviews and the provision of a service exemplar serving as a test bed for deriving requirements for the development of more generally applicable text mining tools and services
Mining term similarities from corpora
In this article, we present an approach to the automatic discovery of term similarities, which may serve as a basis for a number of term-oriented knowledge mining tasks. The method for term comparison combines internal (lexical similarity) and two types of external criteria (syntactic and contextual similarities). Lexical similarity is based on sharing lexical constituents (i.e. term heads and modifiers). Syntactic similarity relies on a set of s…
Dress in Spartan Society
Mental illness is highly prevalent nowadays, constituting a major cause of distress in people's life with impact on society's health and well-being. Mental illness is a complex multi-factorial disease associated with individual risk factors and a variety of socioeconomic, clinical associations. In order to capture these complex associations expressed in a wide variety of textual data, including social media posts, interviews, and clinical notes, …
An application and e aluation of the C/NC-value approach for the automatic term recognition of multi-word units in Japanese
Technical terms are important for knowledge mining, especially as vast amounts of multi-lingual documents are available over the Internet. Thus, a domain and language-independent method for term recognition is necessary to automatically recognize terms from Internet documents. The C-/NC-value method is an efficient domain-independent multi-word term recognition method which combines linguistic and statistical knowledge. Although the C-value/NC-va…
Dress in Spartan Society
Mental illness is highly prevalent nowadays, constituting a major cause of distress in people's life with impact on society's health and well-being. Mental illness is a complex multi-factorial disease associated with individual risk factors and a variety of socioeconomic, clinical associations. In order to capture these complex associations expressed in a wide variety of textual data, including social media posts, interviews, and clinical notes, …
Supporting Systematic Reviews Using Text Mining
In this article, we describe how we are using text mining solutions to enhance the production of systematic reviews. The aims of this collaborative project are the development of a text mining framework to support systematic reviews and the provision of a service exemplar serving as a test bed for deriving requirements for the development of more generally applicable text mining tools and services
An application and e aluation of the C/NC-value approach for the automatic term recognition of multi-word units in Japanese
Technical terms are important for knowledge mining, especially as vast amounts of multi-lingual documents are available over the Internet. Thus, a domain and language-independent method for term recognition is necessary to automatically recognize terms from Internet documents. The C-/NC-value method is an efficient domain-independent multi-word term recognition method which combines linguistic and statistical knowledge. Although the C-value/NC-va…
Dress in Spartan Society
Mental illness is highly prevalent nowadays, constituting a major cause of distress in people's life with impact on society's health and well-being. Mental illness is a complex multi-factorial disease associated with individual risk factors and a variety of socioeconomic, clinical associations. In order to capture these complex associations expressed in a wide variety of textual data, including social media posts, interviews, and clinical notes, …
Mining term similarities from corpora
In this article, we present an approach to the automatic discovery of term similarities, which may serve as a basis for a number of term-oriented knowledge mining tasks. The method for term comparison combines internal (lexical similarity) and two types of external criteria (syntactic and contextual similarities). Lexical similarity is based on sharing lexical constituents (i.e. term heads and modifiers). Syntactic similarity relies on a set of s…
Supporting Systematic Reviews Using Text Mining
In this article, we describe how we are using text mining solutions to enhance the production of systematic reviews. The aims of this collaborative project are the development of a text mining framework to support systematic reviews and the provision of a service exemplar serving as a test bed for deriving requirements for the development of more generally applicable text mining tools and services
Hyphen
Narrative clinical records and biomedical articles constitute rich sources of information about phenotypes , i.e., markers distinguishing individuals with specific medical conditions from the general population. Phenotypes help clinicians to provide personalised treatments. However, locating information about them within huge document repositories is difficult, since each phenotypic concept can be mentioned in many ways. Normalisation methods aut…
On revolutions
Sometimes the normal course of events is disrupted by a particularly swift and profound change. Historians have often referred to such changes as “revolutions”, and, though they have identified many of them, they have rarely supported their claims with statistical evidence. Here, we present a method to identify revolutions based on a measure of multivariate rate of change called Foote novelty. We define revolutions as those periods of time when t…
Cited text span identification for scientific summarisation using pre-trained encoders
We present our approach for the identification of cited text spans in scientific literature, using pre-trained encoders (BERT) in combination with different neural networks. We further experiment to assess the impact of using these cited text spans as input in BERT-based extractive summarisation methods. Inspired and motivated by the CL-SciSumm shared tasks, we explore different methods to adapt pre-trained models which are tuned for generic doma…
The pace of modern culture
Religious bias landscape in language and text-to-image models
Computer Science (8 obras) · Artificial Intelligence (5 obras) · Information retrieval (5 obras) · Biomedical Text Mining and Ontologies (4 obras) · Natural language processing (4 obras) · Natural Language Processing Techniques (4 obras) · Mathematics (3 obras) · Data mining (2 obras) · Epistemology (2 obras) · Linguistics (2 obras)