3 citations · 3 across the 4 of their papers we have counts for
4 papers
MRCEval: A Comprehensive, Challenging and Accessible Machine Reading Comprehension Benchmark
Shengkun Ma, Hao Peng, Lei Hou +1
Machine Reading Comprehension (MRC) is an essential task in evaluating natural language understanding. Existing MRC datasets primarily assess specific aspects of reading comprehens…
A Rationale-centric Counterfactual Data Augmentation Method for Cross-Document Event Coreference Resolution
Bowen Ding, Qingkai Min, Shengkun Ma +3
Based on Pre-trained Language Models (PLMs), event coreference resolution (ECR) systems have demonstrated outstanding performance in clustering coreferential events across document…
Making Pre-trained Language Models Better Continual Few-Shot Relation Extractors
Shengkun Ma, Jiale Han, Yi Liang +1
Continual Few-shot Relation Extraction (CFRE) is a practical problem that requires the model to continuously learn novel relations while avoiding forgetting old ones with few label…
Generative Prompt Tuning for Relation Classification
Jiale Han, Shuai Zhao, Bo Cheng +2
Using prompts to explore the knowledge contained within pre-trained language models for downstream tasks has now become an active topic. Current prompt tuning methods mostly conver…