81 citations · 121 across the 13 of their papers we have counts for
14 papers
ADS-Cap: A Framework for Accurate and Diverse Stylized Captioning with Unpaired Stylistic Corpora
Kanzhi Cheng, Zheng Ma, Shi Zong +3
Generating visually grounded image captions with specific linguistic styles using unpaired stylistic corpora is a challenging task, especially since we expect stylized captions wit…
: A Virtual Moderator for Market Research Surveys
Josh Seltzer, Jiahua Pan, Kathy Cheng +4
Market research surveys are a powerful methodology for understanding consumer perspectives at scale, but are limited by depth of understanding and insights. A virtual moderator can…
Which Model Shall I Choose? Cost/Quality Trade-offs for Text Classification Tasks
Shi Zong, Josh Seltzer, Jiahua +3
Industry practitioners always face the problem of choosing the appropriate model for deployment under different considerations, such as to maximize a metric that is crucial for pro…
Probing Cross-modal Semantics Alignment Capability from the Textual Perspective
Zheng Ma, Shi Zong, Mianzhi Pan +4
In recent years, vision and language pre-training (VLP) models have advanced the state-of-the-art results in a variety of cross-modal downstream tasks. Aligning cross-modal semanti…
Music-to-Text Synaesthesia: Generating Descriptive Text from Music Recordings
Zhihuan Kuang, Shi Zong, Jianbing Zhang +2
In this paper, we consider a novel research problem: music-to-text synaesthesia. Different from the classical music tagging problem that classifies a music recording into pre-defin…
Analyzing the Intensity of Complaints on Social Media
Ming Fang, Shi Zong, Jing Li +3
Complaining is a speech act that expresses a negative inconsistency between reality and human expectations. While prior studies mostly focus on identifying the existence or the typ…
Doctor Recommendation in Online Health Forums via Expertise Learning
Xiaoxin Lu, Yubo Zhang, Jing Li +1
Huge volumes of patient queries are daily generated on online health forums, rendering manual doctor allocation a labor-intensive task. To better help patients, this paper studies…
GNN-LM: Language Modeling based on Global Contexts via GNN
Yuxian Meng, Shi Zong, Xiaoya Li +4
Inspired by the notion that ``{\it to copy is easier than to memorize}``, in this work, we introduce GNN-LM, which extends the vanilla neural language model (LM) by allowing to ref…
Measuring Forecasting Skill from Text
Shi Zong, Alan Ritter, Eduard Hovy
People vary in their ability to make accurate predictions about the future. Prior studies have shown that some individuals can predict the outcome of future events with consistentl…
Extracting a Knowledge Base of COVID-19 Events from Social Media
Shi Zong, Ashutosh Baheti, Wei Xu +1
In this paper, we present a manually annotated corpus of 10,000 tweets containing public reports of five COVID-19 events, including positive and negative tests, deaths, denied acce…
Analyzing the Perceived Severity of Cybersecurity Threats Reported on Social Media
Shi Zong, Alan Ritter, Graham Mueller +1
Breaking cybersecurity events are shared across a range of websites, including security blogs (FireEye, Kaspersky, etc.), in addition to social media platforms such as Facebook and…
Does Weather Matter? Causal Analysis of TV Logs
Shi Zong, Branislav Kveton, Shlomo Berkovsky +3
Weather affects our mood and behaviors, and many aspects of our life. When it is sunny, most people become happier; but when it rains, some people get depressed. Despite this evide…
Detecting Localized Categorical Attributes on Graphs
Siheng Chen, Yaoqing Yang, Shi Zong +2
Do users from Carnegie Mellon University form social communities on Facebook? Do signal processing researchers from tightly collaborate with each other? Do Chinese restaurants in M…
Cascading Bandits for Large-Scale Recommendation Problems
Shi Zong, Hao Ni, Kenny Sung +3
Most recommender systems recommend a list of items. The user examines the list, from the first item to the last, and often chooses the first attractive item and does not examine th…