What is she best known for?
The fields of study she is best known for:
- Artificial intelligence
- Linguistics
- Machine learning
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.
Her most cited work include:
- The Automation of Science (375 citations)
- Analysing how people orient to and spread rumours in social media by looking at conversational threads (302 citations)
- Detection and Resolution of Rumours in Social Media: A Survey (284 citations)
What are the main themes of her work throughout her whole career to date?
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.
She most often published in these fields:
- Artificial intelligence (42.76%)
- Social media (41.45%)
- Information retrieval (25.00%)
What were the highlights of her more recent work (between 2019-2021)?
- Artificial intelligence (42.76%)
- Information retrieval (25.00%)
- Set (17.76%)
In recent papers she was focusing on the following fields of study:
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.
Between 2019 and 2021, her most popular works were:
- tBERT: Topic Models and BERT Joining Forces for Semantic Similarity Detection (17 citations)
- Learning to Detect Bipolar Disorder and Borderline Personality Disorder with Language and Speech in Non-Clinical Interviews (6 citations)
- QMUL-SDS at CheckThat! 2020: Determining COVID-19 Tweet Check-Worthiness Using an Enhanced CT-BERT with Numeric Expressions (6 citations)
In her most recent research, the most cited papers focused on:
- Artificial intelligence
- Linguistics
- The Internet
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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