1 citations · 1 across the 3 of their papers we have counts for
3 papers
Loss-Based Active Learning for Neural Abstractive Summarization
Michail Ioannou, Tatiana Passali, George Michalopoulos +1
Fine-tuning abstractive summarization models requires high-quality annotated data. However, obtaining such corpora is expensive and time-consuming, as it requires human annotators…
From Lengthy to Lucid: A Systematic Literature Review on NLP Techniques for Taming Long Sentences
Tatiana Passali, Efstathios Chatzikyriakidis, Stelios Andreadis +4
Long sentences have been a persistent issue in written communication for many years since they make it challenging for readers to grasp the main points or follow the initial intent…
Topic-Controllable Summarization: Topic-Aware Evaluation and Transformer Methods
Tatiana Passali, Grigorios Tsoumakas
Topic-controllable summarization is an emerging research area with a wide range of potential applications. However, existing approaches suffer from significant limitations. For exa…