Copertina

Exploring Multiple Strategies to Improve Multilingual Coreference Resolution in CorefUD

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Pražák, Ondřej, Konopík, Miloslav, Král, Pavel
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Computation and Language Machine Learning
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Findings of the Third Shared Task on Multilingual Coreference Resolution
di: Novák, Michal, et al.
Pubblicazione: (2024)

BioCoref: Benchmarking Biomedical Coreference Resolution with LLMs
di: Salem, Nourah M, et al.
Pubblicazione: (2025)

Findings of the Fourth Shared Task on Multilingual Coreference Resolution: Can LLMs Dethrone Traditional Approaches?
di: Novák, Michal, et al.
Pubblicazione: (2025)

Findings of the Fifth Shared Task on Multilingual Coreference Resolution: Expanding Datasets for Long-Range Entities
di: Novák, Michal, et al.
Pubblicazione: (2026)

CorefInst: Leveraging LLMs for Multilingual Coreference Resolution
di: Arslan, Tuğba Pamay, et al.
Pubblicazione: (2025)

ThaiCoref: Thai Coreference Resolution Dataset
di: Trakuekul, Pontakorn, et al.
Pubblicazione: (2024)

Czech Dataset for Complex Aspect-Based Sentiment Analysis Tasks
di: Šmíd, Jakub, et al.
Pubblicazione: (2025)

ImCoref-CeS: An Improved Lightweight Pipeline for Coreference Resolution with LLM-based Checker-Splitter Refinement
di: Luo, Kangyang, et al.
Pubblicazione: (2025)

Do Lexical and Contextual Coreference Resolution Systems Degrade Differently under Mention Noise? An Empirical Study on Scientific Software Mentions
di: Alkan, Atilla Kaan, et al.
Pubblicazione: (2026)

Major Entity Identification: A Generalizable Alternative to Coreference Resolution
di: Manikantan, Kawshik, et al.
Pubblicazione: (2024)

Inside CORE-KG: Evaluating Structured Prompting and Coreference Resolution for Knowledge Graphs
di: Meher, Dipak, et al.
Pubblicazione: (2025)

Aligning the Norwegian UD Treebank with Entity and Coreference Information
di: Jørgensen, Tollef Emil, et al.
Pubblicazione: (2023)

Bridging the Gap: Dynamic Learning Strategies for Improving Multilingual Performance in LLMs
di: Kumar, Somnath, et al.
Pubblicazione: (2024)

ÚFAL CorPipe at CRAC 2023: Larger Context Improves Multilingual Coreference Resolution
di: Straka, Milan
Pubblicazione: (2023)

Improving LLMs' Learning for Coreference Resolution
di: Gan, Yujian, et al.
Pubblicazione: (2025)

CorPipe at CRAC 2025: Evaluating Multilingual Encoders for Multilingual Coreference Resolution
di: Straka, Milan
Pubblicazione: (2025)

MUCAR: Benchmarking Multilingual Cross-Modal Ambiguity Resolution for Multimodal Large Language Models
di: Wang, Xiaolong, et al.
Pubblicazione: (2025)

Multilingual Coreference Resolution in Low-resource South Asian Languages
di: Mishra, Ritwik, et al.
Pubblicazione: (2024)

ÚFAL CorPipe at CRAC 2022: Effectivity of Multilingual Models for Coreference Resolution
di: Straka, Milan, et al.
Pubblicazione: (2022)

Multilingual Amnesia: On the Transferability of Unlearning in Multilingual LLMs
di: Farashah, Alireza Dehghanpour, et al.
Pubblicazione: (2026)

CRCE: Coreference-Retention Concept Erasure in Text-to-Image Diffusion Models
di: Xue, Yuyang, et al.
Pubblicazione: (2025)

Improving Generative Cross-lingual Aspect-Based Sentiment Analysis with Constrained Decoding
di: Šmíd, Jakub, et al.
Pubblicazione: (2025)

LACA: Improving Cross-lingual Aspect-Based Sentiment Analysis with LLM Data Augmentation
di: Šmíd, Jakub, et al.
Pubblicazione: (2025)

ATLAS: Adaptive Transfer Scaling Laws for Multilingual Pretraining, Finetuning, and Decoding the Curse of Multilinguality
di: Longpre, Shayne, et al.
Pubblicazione: (2025)

Exploring Embedding Priors in Prompt-Tuning for Improved Interpretability and Control
di: Sedov, Sergey, et al.
Pubblicazione: (2024)

Improving Multilingual Instruction Finetuning via Linguistically Natural and Diverse Datasets
di: Indurthi, Sathish Reddy, et al.
Pubblicazione: (2024)

Exploring Multilingual Probing in Large Language Models: A Cross-Language Analysis
di: Li, Daoyang, et al.
Pubblicazione: (2024)

Multilingual Needle in a Haystack: Investigating Long-Context Behavior of Multilingual Large Language Models
di: Hengle, Amey, et al.
Pubblicazione: (2024)

Measuring Catastrophic Forgetting in Cross-Lingual Transfer Paradigms: Exploring Tuning Strategies
di: Koloski, Boshko, et al.
Pubblicazione: (2023)

CorPipe at CRAC 2026: Empty Nodes and Cross-Lingual Transfer in Multilingual Coreference Resolution
di: Straka, Milan
Pubblicazione: (2026)

Scaling Laws for Multilingual Language Models
di: He, Yifei, et al.
Pubblicazione: (2024)

On the Calibration of Multilingual Question Answering LLMs
di: Yang, Yahan, et al.
Pubblicazione: (2023)

Multilingual Self-Taught Faithfulness Evaluators
di: Alfano, Carlo, et al.
Pubblicazione: (2025)

Learn and Unlearn: Addressing Misinformation in Multilingual LLMs
di: Lu, Taiming, et al.
Pubblicazione: (2024)

How Does Quantization Affect Multilingual LLMs?
di: Marchisio, Kelly, et al.
Pubblicazione: (2024)

Multilingual Open QA on the MIA Shared Task
di: Yarrabelly, Navya, et al.
Pubblicazione: (2025)

Factual Consistency of Multilingual Pretrained Language Models
di: Fierro, Constanza, et al.
Pubblicazione: (2022)

Grounding Multilingual Multimodal LLMs With Cultural Knowledge
di: Nyandwi, Jean de Dieu, et al.
Pubblicazione: (2025)

Triangulation as an Acceptance Rule for Multilingual Mechanistic Interpretability
di: Long, Yanan
Pubblicazione: (2025)

EuroSpeech: A Multilingual Speech Corpus
di: Pfisterer, Samuel, et al.
Pubblicazione: (2025)