4 citations · 7 across the 14 of their papers we have counts for
14 papers
An Optimized Tri-store System for Multi-model Data Analytics
Xiuwen Zheng, Subhasis Dasgupta, Arun Kumar +1
Data science applications increasingly rely on heterogeneous data sources and analytics. This has led to growing interest in polystore systems, especially analytical polystores. In…
Temporal Relation Extraction with a Graph-Based Deep Biaffine Attention Model
Bo-Ying Su, Shang-Ling Hsu, Kuan-Yin Lai +1
Temporal information extraction plays a critical role in natural language understanding. Previous systems have incorporated advanced neural language models and have successfully en…
AWESOME: Empowering Scalable Data Science on Social Media Data with an Optimized Tri-Store Data System
Xiuwen Zheng, Subhasis Dasgupta, Arun Kumar +1
Modern data science applications increasingly use heterogeneous data sources and analytics. This has led to growing interest in polystore systems, especially analytical polystores.…
Discovering Technology Gaps using the IntSight Knowledge Navigator
Aurpon Gupta, Subhasis Dasgupta, Snehasis Sinha +1
Knowledge analysis is an important application of knowledge graphs. In this paper, we present a complex knowledge analysis problem that discovers the gaps in the technology areas o…
News Meets Microblog: Hashtag Annotation via Retriever-Generator
Xiuwen Zheng, Dheeraj Mekala, Amarnath Gupta +1
Hashtag annotation for microblog posts has been recently formulated as a sequence generation problem to handle emerging hashtags that are unseen in the training set. The state-of-t…
A Query-Driven System for Discovering Interesting Subgraphs in Social Media
Subhasis Dasgupta, Amarnath Gupta
Social media data are often modeled as heterogeneous graphs with multiple types of nodes and edges. We present a discovery algorithm that first chooses a "background" graph based o…
Discovering Interesting Subgraphs in Social Media Networks
Subhasis Dasgupta, Amarnath Gupta
Social media data are often modeled as heterogeneous graphs with multiple types of nodes and edges. We present a discovery algorithm that first chooses a "background" graph based o…
An Algebraic Approach for High-level Text Analytics
Xiuwen Zheng, Amarnath Gupta
Text analytical tasks like word embedding, phrase mining, and topic modeling, are placing increasing demands as well as challenges to existing database management systems. In this…
On Constructing a Knowledge Base of Chinese Criminal Cases
Xiaohan Wu, Benjamin L. Liebman, Rachel E. Stern +2
We are developing a knowledge base over Chinese judicial decision documents to facilitate landscape analyses of Chinese Criminal Cases. We view judicial decision documents as a mix…
Scalable Community Detection over Geo-Social Network
Xiuwen Zheng, Qiyu Liu, Amarnath Gupta
We consider a community finding problem called Co-located Community Detection (CCD) over geo-social networks, which retrieves communities that satisfy both high structural tightnes…
Multi-Model Investigative Exploration of Social Media Data with boutique: A Case Study in Public Health
Junan Guo, Subhasis Dasgupta, Amarnath Gupta
We present our experience with a data science problem in Public Health, where researchers use social media (Twitter) to determine whether the public shows awareness of HIV preventi…
Ingesting High-Velocity Streaming Graphs from Social Media Sources
Subhasis Dasgupta, Aditya Bagchi, Amarnath Gupta
Many data science applications like social network analysis use graphs as their primary form of data. However, acquiring graph-structured data from social media presents some inter…
Social Network of Extreme Tweeters: A Case Study
Xiuwen Zheng, Amarnath Gupta
The number of posts made by a single user account on a social media platform Twitter in any given time interval is usually quite low. However, there is a subset of users whose volu…
Answering Analytical Queries on Text Data with Temporal Term Histograms
Kai Lin, Subhasis Dasgupta, Amarnath Gupta
Temporal text, i.e., time-stamped text data are found abundantly in a variety of data sources like newspapers, blogs and social media posts. While today's data management systems p…