EACL 2023 - 17th Conference of the European Chapter of the Association for Computational Linguistics, Findings of EACL 2023
Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
Documents
- Findings of EACL 2023
Final published version, 646 KB, PDF document
The proceedings contain 196 papers. The topics discussed include: using punctuation as an adversarial attack on deep learning-based NLP systems: an empirical study; self-supervised unimodal label generation strategy using recalibrated modality representations for multimodal sentiment analysis; improving numeracy by input reframing and quantitative pre-finetuning task; visualize before you write: imagination-guided open-ended text generation; entity-aware dual co-attention network for fake news detection; data-efficient methods for improving hate speech detection; learning the effects of physical actions in a multi-modal environment; revisiting intermediate layer distillation for compressing language models: an overfitting perspective; implicit temporal reasoning for evidence-based fact-checking; translate first reorder later: leveraging monotonicity in semantic parsing; and infusing context and knowledge awareness in multi-turn dialog understanding.
Original language | English |
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Title of host publication | Findings of the Association for Computational Linguistics: EACL 2023 |
Publisher | Association for Computational Linguistics (ACL) |
Publication date | 2023 |
ISBN (Electronic) | 9781959429470 |
Publication status | Published - 2023 |
Event | 17th Conference of the European Chapter of the Association for Computational Linguistics, EACL 2023 - Findings of EACL 2023 - Dubrovnik, Croatia Duration: 2 May 2023 → 6 May 2023 |
Conference
Conference | 17th Conference of the European Chapter of the Association for Computational Linguistics, EACL 2023 - Findings of EACL 2023 |
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Land | Croatia |
By | Dubrovnik |
Periode | 02/05/2023 → 06/05/2023 |
Sponsor | Adobe, Babelscape, Bloomberg Engineering, Duolingo, Liveperson |
Links
- https://aclanthology.org/2023.findings-eacl.0/
Final published version
ID: 381219314