activity
20172024
most citedA Comparison of Feature-Based and Neural Scansion of Poetry

9 citations · 14 across the 9 of their papers we have counts for

collaborators

9 papers

cs.CL2024

Creating an Aligned Corpus of Sound and Text: The Multimodal Corpus of Shakespeare and Milton

Manex Agirrezabal

In this work we present a corpus of poems by William Shakespeare and John Milton that have been enriched with readings from the public domain. We have aligned all the lines with th…

cs.CL2023

Erato: Automatizing Poetry Evaluation

Manex Agirrezabal, Hugo Gonçalo Oliveira, Aitor Ormazabal

We present Erato, a framework designed to facilitate the automated evaluation of poetry, including that generated by poetry generation systems. Our framework employs a diverse set…

cs.CL2023

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…

cs.CL2022★ 3 cited

PoeLM: A Meter- and Rhyme-Controllable Language Model for Unsupervised Poetry Generation

Aitor Ormazabal, Mikel Artetxe, Manex Agirrezabal +2

Formal verse poetry imposes strict constraints on the meter and rhyme scheme of poems. Most prior work on generating this type of poetry uses existing poems for supervision, which…

cs.CL2022★ 1 cited

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…

cs.NE2022★ 1 cited

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…

cs.CL2022

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.…

cs.CY2021

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…

cs.CL2017★ 9 cited

A Comparison of Feature-Based and Neural Scansion of Poetry

Manex Agirrezabal, Iñaki Alegria, Mans Hulden

Automatic analysis of poetic rhythm is a challenging task that involves linguistics, literature, and computer science. When the language to be analyzed is known, rule-based systems…