[HTML][HTML] Deep learning for fake news detection: A comprehensive survey
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 …
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
Accurate segmentation of organs or lesions from medical images is crucial for reliable
diagnosis of diseases and organ morphometry. In recent years, convolutional encoder …
diagnosis of diseases and organ morphometry. In recent years, convolutional encoder …
Knowledge-grounded dialogue generation with pre-trained language models
We study knowledge-grounded dialogue generation with pre-trained language models. To
leverage the redundant external knowledge under capacity constraint, we propose …
leverage the redundant external knowledge under capacity constraint, we propose …
[PDF][PDF] Hierarchical Multi-Scale Gaussian Transformer for Stock Movement Prediction.
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 …
challenging task, due to the uncertainty of financial markets. In this paper, we propose a …
Towards topic-guided conversational recommender system
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 …
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
Currently, researchers have paid great attention to retrieval-based dialogues in open-
domain. In particular, people study the problem by investigating context-response matching …
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
We consider context-response matching with multiple types of representations for multi-turn
response selection in retrieval-based chatbots. The representations encode semantics of …
response selection in retrieval-based chatbots. The representations encode semantics of …
Consistent representation learning for continual relation extraction
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 …
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 …
between humans and computers. Due to its promising potential and alluring commercial …
Generate, prune, select: A pipeline for counterspeech generation against online hate speech
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 …
freedom of speech is of great social interest. Natural Language Generation (NLG), is …