Ani Nenkova

Latest

• ADoPD: A Large-Scale Document Page Decomposition Dataset (ICLR 2024)
• SOHES: Self-supervised Open-world Hierarchical Entity Segmentation (ICLR 2024)
• Improving a Named Entity Recognizer Trained on Noisy Data with a Few Clean Instances (arXiv 2023)
• LayerDoc: layer-wise extraction of spatial hierarchical structure in visually-rich documents (WACV 2023)
• Learning the visualness of text using large vision-language models (EMNLP 2023)
• DocLayoutTTS: Dataset and Baselines for Layout-informed Document-level Neural Speech Synthesis. (INTERSPEECH 2022)
• Doctime: A document-level temporal dependency graph parser (NNACL 2022)
• Learning adaptive axis attentions in fine-tuning: Beyond fixed sparse attention patterns (ACL 2022)
• MGDoc: Pre-training with multi-granular hierarchy for document image understanding ( 2022)
• Unidoc: Unified pretraining framework for document understanding (NeurIPS 2021)