1 code implementation • LATERAISSE (LREC) 2022 • Justus-Jonas Erker, Catalina Goanta, Gerasimos Spanakis
Cancel Culture as an Internet phenomenon has been previously explored from a social and legal science perspective.
no code implementations • EMNLP (ACL) 2021 • Walter Simoncini, Gerasimos Spanakis
Named Entity Recognition is a fundamental task in information extraction and is an essential element for various Natural Language Processing pipelines.
1 code implementation • 30 Jan 2023 • Antoine Louis, Gijs Van Dijck, Gerasimos Spanakis
Statutory article retrieval (SAR), the task of retrieving statute law articles relevant to a legal question, is a promising application of legal text processing.
no code implementations • 2 Dec 2022 • Mandani Ntekouli, Gerasimos Spanakis, Lourens Waldorp, Anne Roefs
In the field of psychopathology, Ecological Momentary Assessment (EMA) methodological advancements have offered new opportunities to collect time-intensive, repeated and intra-individual measurements.
no code implementations • 14 Nov 2022 • Justus-Jonas Erker, Gerasimos Spanakis, Stefan Schaffer
Motivated by the entailment property of multi-turn dialogues through contrastive learning sentence embeddings, we introduce a novel technique, Curved Contrastive Learning (CCL), for generating semantically meaningful and conversational graph curved utterance embeddings that can be compared using cosine similarity.
no code implementations • 4 Apr 2022 • Mandani Ntekouli, Gerasimos Spanakis, Lourens Waldorp, Anne Roefs
Interestingly, it is observed that in one of the two real-world datasets, knowledge distillation method achieves improved AUC scores (mean relative change of +17\% compared to personalized) showing how it can benefit EMA data classification and performance.
1 code implementation • ACL 2022 • Antoine Louis, Gerasimos Spanakis
Statutory article retrieval is the task of automatically retrieving law articles relevant to a legal question.
Ranked #1 on Information Retrieval on BSARD
1 code implementation • 12 May 2021 • Błażej Dolicki, Gerasimos Spanakis
As a result, one should not expect that for a target language $L_1$ there is a single language $L_2$ that is the best choice for any NLP task (for instance, for Bulgarian, the best source language is French on POS tagging, Russian on NER and Thai on NLI).
no code implementations • 10 Dec 2020 • Adam Vandor, Marie van Vollenhoven, Gerhard Weiss, Gerasimos Spanakis
Harmony in visual compositions is a concept that cannot be defined or easily expressed mathematically, even by humans.
1 code implementation • GeBNLP (COLING) 2020 • Rodrigo Alejandro Chávez Mulsa, Gerasimos Spanakis
Recent research in Natural Language Processing has revealed that word embeddings can encode social biases present in the training data which can affect minorities in real world applications.
1 code implementation • 30 Oct 2020 • Thalea Schlender, Gerasimos Spanakis
Specifically, in the natural language processing domain, it has been shown that social biases persist in word embeddings and are thus in danger of amplifying these biases when used.
1 code implementation • WS 2020 • Danni Liu, Jan Niehues, Gerasimos Spanakis
The experiments show that with limited data far less than needed for training a model from scratch, we can adapt a Transformer-based ASR model to incorporate both transcription and compression capabilities.
Automatic Speech Recognition Automatic Speech Recognition (ASR) +1
1 code implementation • 22 May 2020 • Danni Liu, Gerasimos Spanakis, Jan Niehues
On How2 English-Portuguese speech translation, we reduce latency to 0. 7 second (-84% rel.)
Sequence-To-Sequence Speech Recognition speech-recognition +1
no code implementations • 31 Jan 2020 • Maria Mihaela Trusca, Gerasimos Spanakis
The tiled convolutional neural network (tiled CNN) has been applied only to computer vision for learning invariances.
1 code implementation • 22 Sep 2019 • Cedric Oeldorf, Gerasimos Spanakis
Domains such as logo synthesis, in which the data has a high degree of multi-modality, still pose a challenge for generative adversarial networks (GANs).
1 code implementation • 6 Sep 2019 • Tobias Bauer, Emre Devrim, Misha Glazunov, William Lopez Jaramillo, Balaganesh Mohan, Gerasimos Spanakis
Inspired by the recent social movement of #MeToo, we are building a chatbot to assist survivors of sexual harassment cases (designed for the city of Maastricht but can easily be extended).
2 code implementations • 6 Mar 2019 • Matteo Maggiolo, Gerasimos Spanakis
Time Series forecasting (univariate and multivariate) is a problem of high complexity due the different patterns that have to be detected in the input, ranging from high to low frequencies ones.
no code implementations • 31 Jan 2019 • Raffaele Piccini, Gerasimos Spanakis
Conversational agents have begun to rise both in the academic (in terms of research) and commercial (in terms of applications) world.
no code implementations • 31 Jan 2019 • Wouter Leeftink, Gerasimos Spanakis
The autoencoder is tested on how well it is able to change the sentiment of an encoded phrase and it was found that such a task is possible.
1 code implementation • 23 Oct 2018 • Ajkel Mino, Gerasimos Spanakis
Yet, conditional generative adversarial networks can be used to generate logos that could help designers in their creative process.
1 code implementation • 8 Dec 2017 • Florian Krebs, Bruno Lubascher, Tobias Moers, Pieter Schaap, Gerasimos Spanakis
In order to predict the distribution of reactions of a new post, neural network architectures (convolutional and recurrent neural networks) were tested using pretrained word embeddings.
no code implementations • 16 Oct 2017 • Alexander Bartl, Gerasimos Spanakis
Finding semantically rich and computer-understandable representations for textual dialogues, utterances and words is crucial for dialogue systems (or conversational agents), as their performance mostly depends on understanding the context of conversations.
no code implementations • 9 Oct 2017 • Tom Rolandus Hagedoorn, Gerasimos Spanakis
Massive Open Online Courses (MOOCs) are attracting the attention of people all over the world.
1 code implementation • 6 Oct 2017 • Joeri Hermans, Gerasimos Spanakis, Rico Möckel
This work addresses the instability in asynchronous data parallel optimization.
no code implementations • 6 Jul 2016 • Gerasimos Spanakis, Gerhard Weiss, Anne Roefs
Ecological Momentary Assessment (EMA) data is organized in multiple levels (per-subject, per-day, etc.)
no code implementations • 19 May 2016 • Gerasimos Spanakis, Gerhard Weiss
Self-Organizing Map (SOM) is a neural network model which is used to obtain a topology-preserving mapping from the (usually high dimensional) input/feature space to an output/map space of fewer dimensions (usually two or three in order to facilitate visualization).