Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics: Tutorial Abstracts
Mining, Assessing, and Improving Arguments in NLP and the Social Sciences (2023.eacl-tutorials)
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| Challenge: | a tutorial on argument quality assessment will focus on what makes an argument good or bad . argument quality is a field encompassing varying tasks on the automated analysis and synthesis of natural language arguments. |
| Approach: | This tutorial will focus on the assessment of argument quality across disciplines . authors will involve participants in annotation studies on the quality assessment . |
| Outcome: | The tutorial will focus on the assessment of argument quality across disciplines . it will involve participants in two annotation studies on the quality assessment and the improvement of quality . |
Emotion Analysis from Texts (2023.eacl-tutorials)
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| Challenge: | Emotion analysis in text is a field of research that encompasses a set of various natural language processing tasks. |
| Approach: | This tutorial provides an overview of research from emotion psychology . it discusses the use cases of emotion analysis in text, their societal impact and ethical considerations . |
| Outcome: | This paper provides an overview of research from emotion psychology which sets the ground for choosing adequate NLP methodology. |
Summarization of Dialogues and Conversations At Scale (2023.eacl-tutorials)
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| Challenge: | Conversations are the natural communication format for people. |
| Approach: | This tutorial will survey the cutting-edge methods for summarizing written and spoken conversation. |
| Outcome: | This tutorial will examine the cutting-edge methods for summarizing written and spoken conversations, covering key sub-areas whose combination is needed for a successful solution. |
Understanding Ethics in NLP Authoring and Reviewing (2023.eacl-tutorials)
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| Challenge: | This tutorial will equip participants with basic guidelines for thinking deeply about ethical issues . |
| Approach: | This tutorial will equip participants with basic guidelines for thinking deeply about ethical issues . the methodology is interactive and participatory, including case studies and working in groups . |
| Outcome: | This tutorial will equip participants with basic guidelines for thinking deeply about ethical issues . the methodology is interactive and participatory, including case studies and working in groups. |
AutoML for NLP (2023.eacl-tutorials)
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| Challenge: | Automated Machine Learning (AutoML) is an emerging field that has potential to impact how we build models in NLP. |
| Approach: | This tutorial will summarize the main AutoML techniques and illustrate how to apply them to improve the NLP model-building process. |
| Outcome: | This tutorial summarizes the main AutoML techniques and illustrates how to apply them to improve the model-building process. |
Privacy-Preserving Natural Language Processing (2023.eacl-tutorials)
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| Challenge: | This tutorial will help the NLP community to get familiar with current research in privacy-preserving methods. |
| Approach: | This tutorial will help the NLP community to get familiar with current research in privacy-preserving methods. |
| Outcome: | The tutorial will cover membership inference, differential privacy, homomorphic encryption, or federated learning, all with typical use-cases and potential pitfalls. |