Titlebook: Natural Language Processing and Chinese Computing; 13th National CCF Co Derek F. Wong,Zhongyu Wei,Muyun Yang Conference proceedings 2025 Th

一大塊

Chinese Personalized Commonsense Understanding and?Reasoning Based on?Curriculum-Learning BERT, GPT2, and BART with different structures. The experimental results show that the models trained using the curriculum-learning training framework are able to generate more diversified and personality-trait-compliant commonsense reasoning results.

較早

Melodrama

只有

ConFit: Contrastive Fine-Tuning of?Text-to-Text Transformer for?Relation Classificationd on their context. The latest trend for dealing with the task resorts to pre-trained language models (PLMs). It transforms the discriminative RC into a linguistics problem and fully induces the language knowledge PLMs derived from pre-training. Despite the visible progress, existing approaches hand

exclamation

無瑕疵

斗志

micturition

An Iterative Framework for?Document-Level Event Argument Extraction Assisted by?Long Short-Term Memot structure is complex. Most of the current methods are entity-based classification or generative frameworks, facing significant challenges when dealing with argument types that are not entities and handling complex event types. In this paper, we propose an iterative extraction framework for DEAE, w

aphasia

類型

Prompt Debiasing via?Causal Intervention for?Event Argument Extractionnarios. By formatting a fine-tuning task into a pre-training objective, prompt-based methods resolve the data scarce problem effectively. However, previous researches seldom investigate the discrepancy among different strategies on prompt formulation. In this work, we compare two kinds of prompts, n