3 citations · 3 across the 1 of their papers we have counts for
6 papers
LSCDiscovery: A shared task on semantic change discovery and detection in Spanish
Frank D. Zamora-Reina, Felipe Bravo-Marquez, Dominik Schlechtweg
We present the first shared task on semantic change discovery and detection in Spanish and create the first dataset of Spanish words manually annotated for semantic change using th…
Evaluation Benchmarks for Spanish Sentence Representations
Vladimir Araujo, Andrés Carvallo, Souvik Kundu +6
Due to the success of pre-trained language models, versions of languages other than English have been released in recent years. This fact implies the need for resources to evaluate…
PolyLM: Learning about Polysemy through Language Modeling
Alan Ansell, Felipe Bravo-Marquez, Bernhard Pfahringer
To avoid the "meaning conflation deficiency" of word embeddings, a number of models have aimed to embed individual word senses. These methods at one time performed well on tasks su…
Data Science for Engineers: A Teaching Ecosystem
Felipe Tobar, Felipe Bravo-Marquez, Jocelyn Dunstan +4
We describe an ecosystem for teaching data science (DS) to engineers which blends theory, methods, and applications, developed at the Faculty of Physical and Mathematical Sciences,…
WASSA-2017 Shared Task on Emotion Intensity
Saif M. Mohammad, Felipe Bravo-Marquez
We present the first shared task on detecting the intensity of emotion felt by the speaker of a tweet. We create the first datasets of tweets annotated for anger, fear, joy, and sa…
Emotion Intensities in Tweets
Saif M. Mohammad, Felipe Bravo-Marquez
This paper examines the task of detecting intensity of emotion from text. We create the first datasets of tweets annotated for anger, fear, joy, and sadness intensities. We use a t…