activity
20162024
most citedDeepMood: Modeling Mobile Phone Typing Dynamics for Mood Detection

154 citations · 498 across the 36 of their papers we have counts for

collaborators
Showing 2018Show all

7 papers · 1 filter

cs.CL2018★ 39 cited

Joint Slot Filling and Intent Detection via Capsule Neural Networks

Chenwei Zhang, Yaliang Li, Nan Du +2

Being able to recognize words as slots and detect the intent of an utterance has been a keen issue in natural language understanding. The existing works either treat slot filling a…

cs.AI2018

Data-driven Blockbuster Planning on Online Movie Knowledge Library

Ye Liu, Jiawei Zhang, Chenwei Zhang +1

In the era of big data, logistic planning can be made data-driven to take advantage of accumulated knowledge in the past. While in the movie industry, movie planning can also explo…

cs.AI2018★ 5 cited

Finding Similar Medical Questions from Question Answering Websites

Yaliang Li, Liuyi Yao, Nan Du +5

The past few years have witnessed the flourishing of crowdsourced medical question answering (Q&A) websites. Patients who have medical information demands tend to post questions ab…

cs.CE2018

Deep Co-investment Network Learning for Financial Assets

Yue Wang, Chenwei Zhang, Shen Wang +3

Most recent works model the market structure of the stock market as a correlation network of the stocks. They apply pre-defined patterns to extract correlation information from the…

cs.CL2018★ 15 cited

Zero-shot User Intent Detection via Capsule Neural Networks

Congying Xia, Chenwei Zhang, Xiaohui Yan +2

User intent detection plays a critical role in question-answering and dialog systems. Most previous works treat intent detection as a classification problem where utterances are la…

cs.HC2018★ 154 cited

DeepMood: Modeling Mobile Phone Typing Dynamics for Mood Detection

Bokai Cao, Lei Zheng, Chenwei Zhang +6

The increasing use of electronic forms of communication presents new opportunities in the study of mental health, including the ability to investigate the manifestations of psychia…