Search Results for author: Manex Agirrezabal

Found 22 papers, 2 papers with code

Interpreting Character Embeddings With Perceptual Representations: The Case of Shape, Sound, and Color

1 code implementation ACL 2022 Sidsel Boldsen, Manex Agirrezabal, Nora Hollenstein

Character-level information is included in many NLP models, but evaluating the information encoded in character representations is an open issue.

Towards a principled approach to sense clustering – a case study of wordnet and dictionary senses in Danish

no code implementations GWC 2018 Bolette Pedersen, Manex Agirrezabal, Sanni Nimb, Ida Olsen, Sussi Olsen

Our aim is to develop principled methods for sense clustering which can make existing lexical resources practically useful in NLP – not too fine-grained to be operational and yet finegrained enough to be worth the trouble.

Findings of the SIGMORPHON 2021 Shared Task on Unsupervised Morphological Paradigm Clustering

no code implementations ACL (SIGMORPHON) 2021 Adam Wiemerslage, Arya D. McCarthy, Alexander Erdmann, Garrett Nicolai, Manex Agirrezabal, Miikka Silfverberg, Mans Hulden, Katharina Kann

We describe the second SIGMORPHON shared task on unsupervised morphology: the goal of the SIGMORPHON 2021 Shared Task on Unsupervised Morphological Paradigm Clustering is to cluster word types from a raw text corpus into paradigms.

14

KUCST@LT-EDI-ACL2022: Detecting Signs of Depression from Social Media Text

no code implementations LTEDI (ACL) 2022 Manex Agirrezabal, Janek Amann

In this paper we present our approach for detecting signs of depression from social media text.

Fashion Style Generation: Evolutionary Search with Gaussian Mixture Models in the Latent Space

1 code implementation1 Apr 2022 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.

From meaning to perception -- exploring the space between word and odor perception embeddings

no code implementations19 Mar 2022 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.

Word Embeddings

The Flipped Classroom model for teaching Conditional Random Fields in an NLP course

no code implementations NAACL (TeachingNLP) 2021 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.

Automatic Detection and Classification of Head Movements in Face-to-Face Conversations

no code implementations LREC 2020 Patrizia Paggio, Manex Agirrezabal, Bart Jongejan, Costanza Navarretta

This paper presents an approach to automatic head movement detection and classification in data from a corpus of video-recorded face-to-face conversations in Danish involving 12 different speakers.

General Classification

Identifying Temporal Trends Based on Perplexity and Clustering: Are We Looking at Language Change?

no code implementations WS 2019 Sidsel Boldsen, Manex Agirrezabal, Patrizia Paggio

In this work we propose a data-driven methodology for identifying temporal trends in a corpus of medieval charters.

A Comparison of Feature-Based and Neural Scansion of Poetry

no code implementations RANLP 2017 Manex Agirrezabal, Iñaki Alegria, Mans Hulden

Automatic analysis of poetic rhythm is a challenging task that involves linguistics, literature, and computer science.

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