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Realistic Evaluation Principles for Cross-document Coreference Resolution.

, , , , and . *SEM, page 143-151. Association for Computational Linguistics, (2021)

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Realistic Evaluation Principles for Cross-document Coreference Resolution., , , , and . *SEM, page 143-151. Association for Computational Linguistics, (2021)Spanbert: Improving pre-training by representing and predicting spans, , , , , and . Transactions of the Association for Computational Linguistics, (2020)SpanBERT: Improving Pre-training by Representing and Predicting Spans, , , , , and . (Jul 24, 2019)MatCha: Enhancing Visual Language Pretraining with Math Reasoning and Chart Derendering., , , , , , , , and . ACL (1), page 12756-12770. Association for Computational Linguistics, (2023)How to train your self-supervised NLP model: Investigating pre-training objectives, data, and scale. University of Washington, USA, (2022)pair2vec: Compositional Word-Pair Embeddings for Cross-Sentence Inference., , , , and . NAACL-HLT (1), page 3597-3608. Association for Computational Linguistics, (2019)FEWS: Large-Scale, Low-Shot Word Sense Disambiguation with the Dictionary., , and . EACL, page 455-465. Association for Computational Linguistics, (2021)BAGEL: Bootstrapping Agents by Guiding Exploration with Language., , , , and . CoRR, (2024)Knowledge Graph and Corpus Driven Segmentation and Answer Inference for Telegraphic Entity-seeking Queries., , and . EMNLP, page 1104-1114. ACL, (2014)DePlot: One-shot visual language reasoning by plot-to-table translation., , , , , , , , , and . ACL (Findings), page 10381-10399. Association for Computational Linguistics, (2023)