13 citations · 14 across the 12 of their papers we have counts for
16 papers
To Facilitate or not to Facilitate: Human and LLM Facilitator Tendencies in Online Discussions
Dimitris Tsirmpas, Katerina Korre, John Pavlopoulos
Automating facilitation in online discussions is a long-standing social concern given the increasing time we spend on online spaces and the failure of content moderation approaches…
Are we chasing ghosts? Quantifying unattributable polarization, and attributing the rest to annotator groups
Dimitris Tsirmpas, John Pavlopoulos
Standard agreement metrics often fail to capture systematic differences in opinion between minority and majority-group annotators, jeopardizing tasks such as hate speech and toxici…
Learning to Align: Addressing Character Frequency Distribution Shifts in Handwritten Text Recognition
Panagiotis Kaliosis, John Pavlopoulos
Handwritten text recognition aims to convert visual input into machine-readable text, and it remains challenging due to the evolving and context-dependent nature of handwriting. Ch…
Designing Synthetic Discussion Generation Systems: A Case Study for Online Facilitation
Dimitris Tsirmpas, Ion Androutsopoulos, John Pavlopoulos
A critical challenge in social science research is the high cost associated with experiments involving human participants. We identify Synthetic Discussion Generation (SDG), a nove…
Evaluation and Facilitation of Online Discussions in the LLM Era: A Survey
Katerina Korre, Dimitris Tsirmpas, Nikos Gkoumas +5
We present a survey of methods for assessing and enhancing the quality of online discussions, focusing on the potential of LLMs. While online discourses aim, at least in theory, to…
GR-NLP-TOOLKIT: An Open-Source NLP Toolkit for Modern Greek
Lefteris Loukas, Nikolaos Smyrnioudis, Chrysa Dikonomaki +8
We present GR-NLP-TOOLKIT, an open-source natural language processing (NLP) toolkit developed specifically for modern Greek. The toolkit provides state-of-the-art performance in fi…
A Data-Driven Guided Decoding Mechanism for Diagnostic Captioning
Panagiotis Kaliosis, John Pavlopoulos, Foivos Charalampakos +2
Diagnostic Captioning (DC) automatically generates a diagnostic text from one or more medical images (e.g., X-rays, MRIs) of a patient. Treated as a draft, the generated text may a…
A Greek Parliament Proceedings Dataset for Computational Linguistics and Political Analysis
Konstantina Dritsa, Kaiti Thoma, John Pavlopoulos +1
Large, diachronic datasets of political discourse are hard to come across, especially for resource-lean languages such as Greek. In this paper, we introduce a curated dataset of th…
Civil Rephrases Of Toxic Texts With Self-Supervised Transformers
Leo Laugier, John Pavlopoulos, Jeffrey Sorensen +1
Platforms that support online commentary, from social networks to news sites, are increasingly leveraging machine learning to assist their moderation efforts. But this process does…
Diagnostic Captioning: A Survey
John Pavlopoulos, Vasiliki Kougia, Ion Androutsopoulos +1
Diagnostic Captioning (DC) concerns the automatic generation of a diagnostic text from a set of medical images of a patient collected during an examination. DC can assist inexperie…
Clinical Predictive Keyboard using Statistical and Neural Language Modeling
John Pavlopoulos, Panagiotis Papapetrou
A language model can be used to predict the next word during authoring, to correct spelling or to accelerate writing (e.g., in sms or emails). Language models, however, have only b…
RTEX: A novel methodology for Ranking, Tagging, and Explanatory diagnostic captioning of radiography exams
Vasiliki Kougia, John Pavlopoulos, Panagiotis Papapetrou +1
This paper introduces RTEx, a novel methodology for a) ranking radiography exams based on their probability to contain an abnormality, b) generating abnormality tags for abnormal e…
Toxicity Detection: Does Context Really Matter?
John Pavlopoulos, Jeffrey Sorensen, Lucas Dixon +2
Moderation is crucial to promoting healthy on-line discussions. Although several `toxicity' detection datasets and models have been published, most of them ignore the context of th…
A Survey on Biomedical Image Captioning
Vasiliki Kougia, John Pavlopoulos, Ion Androutsopoulos
Image captioning applied to biomedical images can assist and accelerate the diagnosis process followed by clinicians. This article is the first survey of biomedical image captionin…
Improved Abusive Comment Moderation with User Embeddings
John Pavlopoulos, Prodromos Malakasiotis, Juli Bakagianni +1
Experimenting with a dataset of approximately 1.6M user comments from a Greek news sports portal, we explore how a state of the art RNN-based moderation method can be improved by a…
Deep Learning for User Comment Moderation
John Pavlopoulos, Prodromos Malakasiotis, Ion Androutsopoulos
Experimenting with a new dataset of 1.6M user comments from a Greek news portal and existing datasets of English Wikipedia comments, we show that an RNN outperforms the previous st…