Publications
- A Multitask Learning Approach for Fake News Detection: Novelty, Emotion, and Sentiment Lend a Helping Hand2021 | Faculty of Mathematics and Physics
- Overview of the Second Shared Task on Automatic Minuting (AutoMin) at INLG 20232023 | Faculty of Mathematics and Physics
- Novelty Detection: A Perspective from Natural Language Processing2022 | Faculty of Mathematics and Physics
- ELITR Minuting Corpus: A Novel Dataset for Automatic Minuting from Multi-Party Meetings in English and Czech2022 | Faculty of Mathematics and Physics
- Automatic minuting: A pipeline method for generating minutes from multi-party meeting proceedings2022 | Faculty of Mathematics and Physics
- Report on the SIGDial 2021 Special Session on Summarization of Dialogues and Multi-Party Meetings (SummDial)2021 | Faculty of Mathematics and Physics
- Towards Establishing a Research Lineage via Identification of Significant Citations2021 | Faculty of Mathematics and Physics
- What the fake? Probing misinformation detection standing on the shoulder of novelty and emotion2021 | Faculty of Mathematics and Physics
- Misinformation detection using multitask learning with mutual learning for novelty detection and emotion recognition2021 | Faculty of Mathematics and Physics
- Argument Mining for Scholarly Document Processing: Taking Stock and Looking Ahead2021 | Faculty of Mathematics and Physics
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