Papers by Tuğba Pamay Arslan

2 papers
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 .

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