activity
20172025
most citedBeyond MeSH: Fine-Grained Semantic Indexing of Biomedical Literature based on Weak Supervision

15 citations · 31 across the 18 of their papers we have counts for

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12 papers · 1 filter

cs.CL2025

What's the Best Way to Retrieve Slides? A Comparative Study of Multimodal, Caption-Based, and Hybrid Retrieval Techniques

Petros Stylianos Giouroukis, Dimitris Dimitriadis, Dimitrios Papadopoulos +2

Slide decks, serving as digital reports that bridge the gap between presentation slides and written documents, are a prevalent medium for conveying information in both academic and…

cs.CL2025

Overview of BioASQ 2025: The Thirteenth BioASQ Challenge on Large-Scale Biomedical Semantic Indexing and Question Answering

Anastasios Nentidis, Georgios Katsimpras, Anastasia Krithara +17

This is an overview of the thirteenth edition of the BioASQ challenge in the context of the Conference and Labs of the Evaluation Forum (CLEF) 2025. BioASQ is a series of internati…

cs.CL2025

DUAL: Diversity and Uncertainty Active Learning for Text Summarization

Petros Stylianos Giouroukis, Alexios Gidiotis, Grigorios Tsoumakas

With the rise of large language models, neural text summarization has advanced significantly in recent years. However, even state-of-the-art models continue to rely heavily on high…

cs.CL2022

Artificial Disfluency Detection, Uh No, Disfluency Generation for the Masses

T. Passali, T. Mavropoulos, G. Tsoumakas +2

Existing approaches for disfluency detection typically require the existence of large annotated datasets. However, current datasets for this task are limited, suffer from class imb…

cs.CL2021

Bayesian Active Summarization

Alexios Gidiotis, Grigorios Tsoumakas

Bayesian Active Learning has had significant impact to various NLP problems, but nevertheless it's application to text summarization has been explored very little. We introduce Bay…

cs.CL2021

Improving Zero-Shot Entity Retrieval through Effective Dense Representations

Eleni Partalidou, Despina Christou, Grigorios Tsoumakas

Entity Linking (EL) seeks to align entity mentions in text to entries in a knowledge-base and is usually comprised of two phases: candidate generation and candidate ranking. While…