Retrieve, Read and LinK: Fast and Accurate Entity Linking and Relation Extraction on an Academic Budget (ACL 2024)
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Updated
Jul 29, 2025 - Python
Retrieve, Read and LinK: Fast and Accurate Entity Linking and Relation Extraction on an Academic Budget (ACL 2024)
Provenance-first extractive RAG: return verbatim source spans with citations using local ModernBERT or optional LLM-assisted extraction.
ViLegalLM: Language Models for Vietnamese Legal Text (ACL Findings 2026)
Codalab competition 💻 on extraction of opinion tuples (opinion source, opinion object, tonality, linguistic expression) from news texts written in Russian
Deterministic invoice extraction using native PDF text layers. No OCR nonsense, no brittle rules that break at scale, no vendor lock-in paying exorbitant prices for creative interpretations of financial documents. This is my battle, I pick this hill!
Research-oriented Multistage NLP pipeline for detecting and extracting medical and self-medication claims(Implicit and Explicit) from Reddit posts and other biomedical texts.
Multilingual BIO span tagger for cause/effect/signal (mDeBERTa-v3), consumed by reasongraph
Read, don't write: one forward pass answers every entity type and field by pointing at spans of the document. System One for extraction, on Qwen + LoRA.
Comparative study of TF-IDF, BERT, and DeBERTa for character-level clinical span extraction, with leakage-corrected evaluation and confidence-based human review triage.
ESWA 投稿版本:多层特征融合与对抗训练驱动的 ASTE 三元组抽取框架
Schema-driven entity extraction with candidate generation, decision-model classification, confidence filtering, NMS-style selection, and gap recovery. 以 Schema 驅動的實體抽取引擎,結合候選生成、決策模型分類、信心分數過濾、類 NMS 篩選與缺口恢復。
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