Search Results for author:
Found 25 papers, 4 papers with code
Comparing Two Basic Methods for Discriminating Between Similar Languages and Varieties
This article describes the systems submitted by the Citius{\_}Ixa{\_}Imaxin team to the Discriminating Similar Languages Shared Task 2016.
Automatic Speech Recognition (ASR)
General Classification
+2
Machine Learning for Metrical Analysis of English Poetry
In this work we tackle the challenge of identifying rhythmic patterns in poetry written in English.
A Comparison of Feature-Based and Neural Scansion of Poetry
Automatic analysis of poetic rhythm is a challenging task that involves linguistics, literature, and computer science.
Identifying Temporal Trends Based on Perplexity and Clustering: Are We Looking at Language Change?
In this work we propose a data-driven methodology for identifying temporal trends in a corpus of medieval charters.
Automatic Detection and Classification of Head Movements in Face-to-Face Conversations
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.
KU-CST at the SIGMORPHON 2020 Task 2 on Unsupervised Morphological Paradigm Completion
We present a model for the unsupervised dis- covery of morphological paradigms.
The Flipped Classroom model for teaching Conditional Random Fields in an NLP course
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.
From meaning to perception -- exploring the space between word and odor perception embeddings
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.
Fashion Style Generation: Evolutionary Search with Gaussian Mixture Models in the Latent Space
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.
KUCST@LT-EDI-ACL2022: Detecting Signs of Depression from Social Media Text
In this paper we present our approach for detecting signs of depression from social media text.
PoeLM: A Meter- and Rhyme-Controllable Language Model for Unsupervised Poetry Generation
During inference, we build control codes for the desired meter and rhyme scheme, and condition our language model on them to generate formal verse poetry.
KUCST at CheckThat 2023: How good can we be with a generic model?
In this paper we present our method for tasks 2 and 3A at the CheckThat2023 shared task.
Erato: Automatizing Poetry Evaluation
We present Erato, a framework designed to facilitate the automated evaluation of poetry, including that generated by poetry generation systems.
Towards a principled approach to sense clustering – a case study of wordnet and dictionary senses in Danish
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.
Towards a Methodology Supporting Semiautomatic Annotation of HeadMovements in Video-recorded Conversations
We present a method to support the annotation of head movements in video-recorded conversations.
The Seemingly (Un)systematic Linking Element in Danish
The use of a linking element between compound members is a common phenomenon in Germanic languages.
Findings of the SIGMORPHON 2021 Shared Task on Unsupervised Morphological Paradigm Clustering
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.
Interpreting Character Embeddings With Perceptual Representations: The Case of Shape, Sound, and Color
Character-level information is included in many NLP models, but evaluating the information encoded in character representations is an open issue.
