Maria Liakata spends much of her time researching Social media, Artificial intelligence, Data science, Scientific literature and Conditional random field. Her work carried out in the field of Social media brings together such families of science as Context, Social research and Internet privacy. Her work in the fields of Fake news overlaps with other areas such as Openness to experience.
Her biological study spans a wide range of topics, including Machine learning, Mental illness and Natural language processing. Her studies deal with areas such as Word, SemEval and Long short term memory as well as Natural language processing. Conditional random field is closely attributed to Classifier in her work.
Maria Liakata focuses on Artificial intelligence, Social media, Information retrieval, Natural language processing and Data science. Her research in Artificial intelligence intersects with topics in Domain and Machine learning. Her Social media research integrates issues from Context, Conditional random field, Classifier, Mental health and Internet privacy.
The concepts of her Conditional random field study are interwoven with issues in Precision and recall, Event and F1 score. Sentence is closely connected to Annotation in her research, which is encompassed under the umbrella topic of Information retrieval. Her work focuses on many connections between Natural language processing and other disciplines, such as SemEval, that overlap with her field of interest in Fake news and Focus.
Maria Liakata mainly investigates Artificial intelligence, Information retrieval, Set, Natural language processing and Word. Maria Liakata focuses mostly in the field of Artificial intelligence, narrowing it down to matters related to Machine learning and, in some cases, Variety. Her research integrates issues of Context, Event, F1 score and Conditional random field in her study of Information retrieval.
Her Natural language processing study integrates concerns from other disciplines, such as Lexical semantics, Logistic regression, Semantic change and Feedforward neural network. Her Word research includes elements of Synonym and Identification. In her research, Maria Liakata undertakes multidisciplinary study on Societal impact of nanotechnology and Social media.
Her primary areas of investigation include Set, Discipline, Cultural analytics, Engineering ethics and Bridge. Her Set research incorporates themes from Non clinical, Borderline personality disorder and Comorbidity. In her papers, Maria Liakata integrates diverse fields, such as Discipline, Diversity, Imperfect, Work and Computational sociology.
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The Automation of Science
Ross Donald King;Jeremy John Rowland;Jeremy John Rowland;Stephen G. Oliver;Stephen G. Oliver;Michael Young.
Detection and Resolution of Rumours in Social Media: A Survey
Arkaitz Zubiaga;Ahmet Aker;Kalina Bontcheva;Maria Liakata.
Analysing how people orient to and spread rumours in social media by looking at conversational threads
Arkaitz Zubiaga;Maria Liakata;Rob Procter;Geraldine Wong Sak Hoi.
SemEval-2017 Task 8: RumourEval: Determining rumour veracity and support for rumours
Leon Derczynski;Kalina Bontcheva;Maria Liakata;Rob Procter.
Automatic recognition of conceptualization zones in scientific articles and two life science applications
Maria Liakata;Shyamasree Saha;Simon Dobnik;Colin Batchelor.
Measuring scientific impact beyond academia: an assessment of existing impact metrics and proposed improvements
James Edward Ravenscroft;Maria Liakata;Amanda Clare;Daniel Duma.
PLOS ONE (2017)
Corpora for the Conceptualisation and Zoning of Scientific Papers
Maria Liakata;Simone Teufel;Advaith Siddharthan;Colin R. Batchelor.
language resources and evaluation (2010)
Characterisation of mental health conditions in social media using Informed Deep Learning
George Gkotsis;Anika Oellrich;Sumithra Velupillai;Sumithra Velupillai;Maria Liakata.
Scientific Reports (2017)
Towards Robot Scientists for autonomous scientific discovery
Andrew Charles Sparkes;Wayne Aubrey;Emma Louise Byrne;Amanda Janet Clare.
Automated Experimentation (2010)
All-in-one: Multi-task Learning for Rumour Verification
Elena Kochkina;Maria Liakata;Arkaitz Zubiaga.
international conference on computational linguistics (2018)
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