[HTML][HTML] Deep learning for fake news detection: A comprehensive survey

L Hu, S Wei, Z Zhao, B Wu - AI open, 2022 - Elsevier
The information age enables people to obtain news online through various channels, yet in
the meanwhile making false news spread at unprecedented speed. Fake news exerts …

Transattunet: Multi-level attention-guided u-net with transformer for medical image segmentation

B Chen, Y Liu, Z Zhang, G Lu… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Accurate segmentation of organs or lesions from medical images is crucial for reliable
diagnosis of diseases and organ morphometry. In recent years, convolutional encoder …

Knowledge-grounded dialogue generation with pre-trained language models

X Zhao, W Wu, C Xu, C Tao, D Zhao, R Yan - arXiv preprint arXiv …, 2020 - arxiv.org
We study knowledge-grounded dialogue generation with pre-trained language models. To
leverage the redundant external knowledge under capacity constraint, we propose …

[PDF][PDF] Hierarchical Multi-Scale Gaussian Transformer for Stock Movement Prediction.

Q Ding, S Wu, H Sun, J Guo, J Guo - IJCAI, 2020 - idea.edu.cn
Predicting the price movement of finance securities like stocks is an important but
challenging task, due to the uncertainty of financial markets. In this paper, we propose a …

Towards topic-guided conversational recommender system

K Zhou, Y Zhou, WX Zhao, X Wang, JR Wen - arXiv preprint arXiv …, 2020 - arxiv.org
Conversational recommender systems (CRS) aim to recommend high-quality items to users
through interactive conversations. To develop an effective CRS, the support of high-quality …

One time of interaction may not be enough: Go deep with an interaction-over-interaction network for response selection in dialogues

C Tao, W Wu, C Xu, W Hu, D Zhao… - Proceedings of the 57th …, 2019 - aclanthology.org
Currently, researchers have paid great attention to retrieval-based dialogues in open-
domain. In particular, people study the problem by investigating context-response matching …

Multi-representation fusion network for multi-turn response selection in retrieval-based chatbots

C Tao, W Wu, C Xu, W Hu, D Zhao, R Yan - Proceedings of the twelfth …, 2019 - dl.acm.org
We consider context-response matching with multiple types of representations for multi-turn
response selection in retrieval-based chatbots. The representations encode semantics of …

Consistent representation learning for continual relation extraction

K Zhao, H Xu, J Yang, K Gao - arXiv preprint arXiv:2203.02721, 2022 - arxiv.org
Continual relation extraction (CRE) aims to continuously train a model on data with new
relations while avoiding forgetting old ones. Some previous work has proved that storing a …

[PDF][PDF] " Chitty-Chitty-Chat Bot": Deep Learning for Conversational AI.

R Yan - IJCAI, 2018 - ijcai.org
Conversational AI is of growing importance since it enables easy interaction interface
between humans and computers. Due to its promising potential and alluring commercial …

Generate, prune, select: A pipeline for counterspeech generation against online hate speech

W Zhu, S Bhat - arXiv preprint arXiv:2106.01625, 2021 - arxiv.org
Countermeasures to effectively fight the ever increasing hate speech online without blocking
freedom of speech is of great social interest. Natural Language Generation (NLG), is …