1 citations · 2 across the 4 of their papers we have counts for
5 papers
KUCST at CheckThat 2023: How good can we be with a generic model?
Manex Agirrezabal
In this paper we present our method for tasks 2 and 3A at the CheckThat2023 shared task. We make use of a generic approach that has been used to tackle a diverse set of tasks, insp…
KUCST@LT-EDI-ACL2022: Detecting Signs of Depression from Social Media Text
Manex Agirrezabal, Janek Amann
In this paper we present our approach for detecting signs of depression from social media text. Our model relies on word unigrams, part-of-speech tags, readabilitiy measures and th…
Fashion Style Generation: Evolutionary Search with Gaussian Mixture Models in the Latent Space
Imke Grabe, Jichen Zhu, Manex Agirrezabal
This paper presents a novel approach for guiding a Generative Adversarial Network trained on the FashionGen dataset to generate designs corresponding to target fashion styles. Find…
From meaning to perception -- exploring the space between word and odor perception embeddings
Janek Amann, Manex Agirrezabal
In this paper we propose the use of the Word2vec algorithm in order to obtain odor perception embeddings (or smell embeddings), only using publicly available perfume descriptions.…
The Flipped Classroom model for teaching Conditional Random Fields in an NLP course
Manex Agirrezabal
In this article, we show and discuss our experience in applying the flipped classroom method for teaching Conditional Random Fields in a Natural Language Processing course. We pres…