Search Results for author:
Found 3 papers, 0 papers with code
基于知识迁移的情感-原因对抽取(Emotion-Cause Pair Extraction Based on Knowledge-Transfer)
“现有的情感瘭原因对抽取模型均没有通过加入外部知识来提升情感瘭原因对的抽取效果。本文提出基于知识迁移的情感瘭原因对抽取模型瘨癅癃癐癅瘭癋癔瘩, 采用知识库获取文本的显性知识编码;随后引入外部情感分类语料库迁移得到子句的隐性知识编码;最后拼接两个知识编码, 加入情感瘨原因瘩子句预测概率及相对位置, 搭配癔癲癡癮癳癦癯癲癭癥癲机制融合上下文, 并采用窗口机制优化计算压力, 实现情感瘭原因对抽取。在癅癃癐癅数据集上的实验结果显示, 本文提出的方法超过当前最先进的模型癅癃癐癅瘭瘲癄。”
Token-Event-Role Structure-based Multi-Channel Document-Level Event Extraction
This paper introduces a novel framework for document-level event extraction, incorporating a new data structure called token-event-role and a multi-channel argument role prediction module.
An Intelligent Group Event Recommendation System in Social networks
Considering that groups may have completely different behavior patterns from group members, we propose that the preference of a group need to be obtained from indirect and direct perspectives (called indirect preference and direct preference respectively).
Cannot find the paper you are looking for? You can
Submit a new open access paper.
