activity
20182022
most citedTemporal Relation Extraction with a Graph-Based Deep Biaffine Attention Model

4 citations · 5 across the 9 of their papers we have counts for

collaborators

12 papers

cs.CL20224 cited

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…

cs.DB2021

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…

cs.CL20211 cited

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…

cs.SI2021

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…

cs.SI2020

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…

cs.DB2020

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…