Search Results for author: Tianran Hu

Found 7 papers, 0 papers with code

Stylistic Retrieval-based Dialogue System with Unparallel Training Data

no code implementations12 Sep 2021 Hao Fu, Yan Wang, Ruihua Song, Tianran Hu, Jianyun Nie

The ability of a dialog system to express consistent language style during conversations has a direct, positive impact on its usability and on user satisfaction.

Chatbot Data Augmentation +2

"Love is as Complex as Math": Metaphor Generation System for Social Chatbot

no code implementations3 Jan 2020 Danning Zheng, Ruihua Song, Tianran Hu, Hao Fu, Jin Zhou

By embedding the framework into a chatbot system, we then enables the chatbot to communicate with users using figurative language.

Chatbot Math

A World of Difference: Divergent Word Interpretations among People

no code implementations8 Mar 2017 Tianran Hu, Ruihua Song, Maya Abtahian, Philip Ding, Xing Xie, Jiebo Luo

We propose an approach that quantifies semantic differences in interpretations among different groups of people.

Spice up Your Chat: The Intentions and Sentiment Effects of Using Emoji

no code implementations8 Mar 2017 Tianran Hu, Han Guo, Hao Sun, Thuy-vy Thi Nguyen, Jiebo Luo

Second, from a perspective of message recipients, we further study the sentiment effects of emojis, as well as their duplications, on verbal messages.

What the Language You Tweet Says About Your Occupation

no code implementations22 Jan 2017 Tianran Hu, Haoyuan Xiao, Thuy-vy Thi Nguyen, Jiebo Luo

Finally, a classifier is built to predict job types based on the features extracted from tweets.

Clustering Job Prediction +1

Inferring Restaurant Styles by Mining Crowd Sourced Photos from User-Review Websites

no code implementations19 Nov 2016 Haofu Liao, Yuncheng Li, Tianran Hu, Jiebo Luo

The multi-label CNN is then used to compute the confidence scores of restaurant styles for all the images associated with a restaurant.

Informativeness Multi-Label Learning +1

Inferring Fine-grained Details on User Activities and Home Location from Social Media: Detecting Drinking-While-Tweeting Patterns in Communities

no code implementations10 Mar 2016 Nabil Hossain, Tianran Hu, Roghayeh Feizi, Ann Marie White, Jiebo Luo, Henry Kautz

Nearly all previous work on geo-locating latent states and activities from social media confounds general discussions about activities, self-reports of users participating in those activities at times in the past or future, and self-reports made at the immediate time and place the activity occurs.

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