27 citations · 116 across the 23 of their papers we have counts for
4 papers · 1 filter
Modelling General Properties of Nouns by Selectively Averaging Contextualised Embeddings
Na Li, Zied Bouraoui, Jose Camacho Collados +3
While the success of pre-trained language models has largely eliminated the need for high-quality static word vectors in many NLP applications, such vectors continue to play an imp…
Don't Patronize Me! An Annotated Dataset with Patronizing and Condescending Language towards Vulnerable Communities
Carla Pérez-Almendros, Luis Espinosa-Anke, Steven Schockaert
In this paper, we introduce a new annotated dataset which is aimed at supporting the development of NLP models to identify and categorize language that is patronizing or condescend…
Overview of CAPITEL Shared Tasks at IberLEF 2020: Named Entity Recognition and Universal Dependencies Parsing
Jordi Porta-Zamorano, Luis Espinosa-Anke
We present the results of the CAPITEL-EVAL shared task, held in the context of the IberLEF 2020 competition series. CAPITEL-EVAL consisted on two subtasks: (1) Named Entity Recogni…
Towards Preemptive Detection of Depression and Anxiety in Twitter
David Owen, Jose Camacho Collados, Luis Espinosa-Anke
Depression and anxiety are psychiatric disorders that are observed in many areas of everyday life. For example, these disorders manifest themselves somewhat frequently in texts wri…