research
∙
06/16/2023
Class-Adaptive Self-Training for Relation Extraction with Incompletely Annotated Training Data
Relation extraction (RE) aims to extract relations from sentences and do...
share
research
∙
06/15/2023
Towards Benchmarking and Improving the Temporal Reasoning Capability of Large Language Models
Reasoning about time is of fundamental importance. Many facts are time-d...
research
∙
05/24/2023
Unlocking Temporal Question Answering for Large Language Models Using Code Execution
Large language models (LLMs) have made significant progress in natural l...
research
∙
05/25/2022
Revisiting DocRED – Addressing the Overlooked False Negative Problem in Relation Extraction
The DocRED dataset is one of the most popular and widely used benchmarks...
research
∙
03/21/2022
Document-Level Relation Extraction with Adaptive Focal Loss and Knowledge Distillation
Document-level Relation Extraction (DocRE) is a more challenging task co...
research
∙
06/06/2021
On the Effectiveness of Adapter-based Tuning for Pretrained Language Model Adaptation
Adapter-based tuning has recently arisen as an alternative to fine-tunin...
research
∙
09/24/2020
