Summary of A General and Flexible Multi-concept Parsing Framework For Multilingual Semantic Matching, by Dong Yao
A General and Flexible Multi-concept Parsing Framework for Multilingual Semantic Matchingby Dong YaoFirst submitted to…
Summary of Deep Learning Based Named Entity Recognition Models For Recipes, by Mansi Goel et al.
Deep Learning Based Named Entity Recognition Models for Recipesby Mansi Goel, Ayush Agarwal, Shubham Agrawal,…
Summary of Padellm-ner: Parallel Decoding in Large Language Models For Named Entity Recognition, by Jinghui Lu et al.
PaDeLLM-NER: Parallel Decoding in Large Language Models for Named Entity Recognitionby Jinghui Lu, Ziwei Yang,…
Summary of Using Large Language Model For End-to-end Chinese Asr and Ner, by Yuang Li et al.
Using Large Language Model for End-to-End Chinese ASR and NERby Yuang Li, Jiawei Yu, Min…
Summary of Embre: Entity-aware Masking For Biomedical Relation Extraction, by Mingjie Li and Karin Verspoor
EMBRE: Entity-aware Masking for Biomedical Relation Extractionby Mingjie Li, Karin VerspoorFirst submitted to arxiv on:…
Summary of Techgpt-2.0: a Large Language Model Project to Solve the Task Of Knowledge Graph Construction, by Jiaqi Wang et al.
TechGPT-2.0: A large language model project to solve the task of knowledge graph constructionby Jiaqi…
Summary of Baner: Boundary-aware Llms For Few-shot Named Entity Recognition, by Quanjiang Guo et al.
BANER: Boundary-Aware LLMs for Few-Shot Named Entity Recognitionby Quanjiang Guo, Yihong Dong, Ling Tian, Zhao…
Summary of An Experimental Study on Data Augmentation Techniques For Named Entity Recognition on Low-resource Domains, by Arthur Elwing Torres et al.
An Experimental Study on Data Augmentation Techniques for Named Entity Recognition on Low-Resource Domainsby Arthur…
Summary of Improving Few-shot Cross-domain Named Entity Recognition by Instruction Tuning a Word-embedding Based Retrieval Augmented Large Language Model, By Subhadip Nandi and Neeraj Agrawal
Improving Few-Shot Cross-Domain Named Entity Recognition by Instruction Tuning a Word-Embedding based Retrieval Augmented Large…
Summary of Link, Synthesize, Retrieve: Universal Document Linking For Zero-shot Information Retrieval, by Dae Yon Hwang et al.
Link, Synthesize, Retrieve: Universal Document Linking for Zero-Shot Information Retrievalby Dae Yon Hwang, Bilal Taha,…