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Found 9 papers, 1 papers with code
PULSAR at MEDIQA-Sum 2023: Large Language Models Augmented by Synthetic Dialogue Convert Patient Dialogues to Medical Records
This paper describes PULSAR, our system submission at the ImageClef 2023 MediQA-Sum task on summarising patient-doctor dialogues into clinical records.
Understanding the Evolution of Circular Economy through Language Change
In this study, we propose to focus on understanding the evolution of a specific scientific concept{---}that of Circular Economy (CE){---}by analysing how the language used in academic discussions has changed semantically.
Identifying Opinion-Topics and Polarity of Parliamentary Debate Motions
Analysis of the topics mentioned and opinions expressed in parliamentary debate motions{--}or proposals{--}is difficult for human readers, but necessary for understanding and automatic processing of the content of the subsequent speeches.
Crowdsourcing-based Annotation of Emotions in Filipino and English Tweets
In order to facilitate the development of natural language processing (NLP) methods that will automate such type of analysis, we have built a corpus of tweets whose predominant emotions have been manually annotated by means of crowdsourcing.
Learning to recognise named entities in tweets by exploiting weakly labelled data
Named entity recognition (NER) in social media (e. g., Twitter) is a challenging task due to the noisy nature of text.
Interoperability and Customisation of Annotation Schemata in Argo
Argo aids the development of custom annotation schemata and supports their interoperability by featuring a schema editor and specialised analytics for schemata alignment.
