A survey of knowledge enhanced pre-trained language models

L Hu, Z Liu, Z Zhao, L Hou, L Nie… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Pre-trained Language Models (PLMs) which are trained on large text corpus via self-
supervised learning method, have yielded promising performance on various tasks in …

[HTML][HTML] A survey on deep learning for textual emotion analysis in social networks

S Peng, L Cao, Y Zhou, Z Ouyang, A Yang, X Li… - Digital Communications …, 2022 - Elsevier
Abstract Textual Emotion Analysis (TEA) aims to extract and analyze user emotional states
in texts. Various Deep Learning (DL) methods have developed rapidly, and they have …

A general survey on attention mechanisms in deep learning

G Brauwers, F Frasincar - IEEE Transactions on Knowledge …, 2021 - ieeexplore.ieee.org
Attention is an important mechanism that can be employed for a variety of deep learning
models across many different domains and tasks. This survey provides an overview of the …

Dialogxl: All-in-one xlnet for multi-party conversation emotion recognition

W Shen, J Chen, X Quan, Z **e - … of the AAAI Conference on Artificial …, 2021 - ojs.aaai.org
This paper presents our pioneering effort for emotion recognition in conversation (ERC) with
pre-trained language models. Unlike regular documents, conversational utterances appear …

BiERU: Bidirectional emotional recurrent unit for conversational sentiment analysis

W Li, W Shao, S Ji, E Cambria - Neurocomputing, 2022 - Elsevier
Sentiment analysis in conversations has gained increasing attention in recent years for the
growing amount of applications it can serve, eg, sentiment analysis, recommender systems …

Chatgpt is not enough: Enhancing large language models with knowledge graphs for fact-aware language modeling

L Yang, H Chen, Z Li, X Ding, X Wu - arxiv preprint arxiv:2306.11489, 2023 - arxiv.org
Recently, ChatGPT, a representative large language model (LLM), has gained considerable
attention due to its powerful emergent abilities. Some researchers suggest that LLMs could …