3 citations · 5 across the 5 of their papers we have counts for
5 papers
ReverseNER: A Self-Generated Example-Driven Framework for Zero-Shot Named Entity Recognition with Large Language Models
Anbang Wang, Difei Mei, Zhichao Zhang +9
This paper presents ReverseNER, a method aimed at overcoming the limitation of large language models (LLMs) in zero-shot named entity recognition (NER) tasks, arising from their re…
Deep Understanding based Multi-Document Machine Reading Comprehension
Feiliang Ren, Yongkang Liu, Bochao Li +7
Most existing multi-document machine reading comprehension models mainly focus on understanding the interactions between the input question and documents, but ignore following two…
Doing Natural Language Processing in A Natural Way: An NLP toolkit based on object-oriented knowledge base and multi-level grammar base
Yu Guo
We introduce an NLP toolkit based on object-oriented knowledge base and multi-level grammar base. This toolkit focuses on semantic parsing, it also has abilities to discover new kn…
LMVE at SemEval-2020 Task 4: Commonsense Validation and Explanation using Pretraining Language Model
Shilei Liu, Yu Guo, Bochao Li +1
This paper describes our submission to subtask a and b of SemEval-2020 Task 4. For subtask a, we use a ALBERT based model with improved input form to pick out the common sense stat…
TechKG: A Large-Scale Chinese Technology-Oriented Knowledge Graph
Feiliang Ren, Yining Hou, Yan Li +8
Knowledge graph is a kind of valuable knowledge base which would benefit lots of AI-related applications. Up to now, lots of large-scale knowledge graphs have been built. However,…