Papers with BIO tagging
IDP Accelerator: Agentic Document Intelligence from Extraction to Compliance Validation (2026.acl-demo)
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Md Mofijul Islam, Md Sirajus Salekin, Joe King, Priyashree Roy, Vamsi Thilak Gudi, Spencer Romo, Akhil Nooney, Bob Strahan, Boyi Xie, Diego A. Socolinsky
| Challenge: | Large Language Models (LLMs) are inadequate for extracting structured insights from unstructured documents. |
| Approach: | They propose a framework enabling agentic AI for end-to-end document intelligence with four key components: DocSplit, configurable Extraction Module, and Rule Validation Module. |
| Outcome: | The proposed framework achieves 98% classification accuracy, 80% reduced processing latency, and 77% lower operational costs over legacy baselines. |
Linguistically Motivated Sign Language Segmentation (2023.findings-emnlp)
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| Challenge: | Sign language segmentation is a crucial task in sign language processing systems. |
| Approach: | They propose to combine two kinds of segmentation: segmentation into individual signs and segmentation to segment into phrases, larger units comprising several signs. |
| Outcome: | The proposed model is based on linguistic cues observed in sign language corpora and replaces the predominant IO tagging scheme with BIO taging to account for continuous signing. |