Papers by Tuğba Pamay Arslan
CorefInst: Leveraging LLMs for Multilingual Coreference Resolution (2026.tacl-1)
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| Challenge: | Existing methods for CR are encoder-only, decoder-based and asynchronous models. |
| Approach: | They propose a multilingual CR methodology which leverages decoder-only LLMs to handle overt and zero mentions. |
| Outcome: | The proposed model outperforms the leading multilingual CR model by 2 percentage points across all languages in the CorefUD v1.2 dataset. |
Incorporating Dropped Pronouns into Coreference Resolution: The case for Turkish (2023.eacl-srw)
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| Challenge: | PD-MRLs are pro-drop and morphologically rich languages due to dropped pronouns . a representation & evaluation scheme is proposed to incorporate dropped pronomins into coreference resolution . |
| Approach: | They propose a representation & evaluation scheme to incorporate dropped pronouns into coreference resolution and validate it on the Turkish language. |
| Outcome: | The proposed representation & evaluation scheme extends on the Turkish coreference dataset . it includes pre and post processors to enhance the prominent CoNLL coreference scorer . |