Data science applications increasingly rely on heterogeneous data source...
Temporal information extraction plays a critical role in natural languag...
Modern big data applications usually involve heterogeneous data sources ...
Knowledge analysis is an important application of knowledge graphs. In t...
Hashtag annotation for microblog posts has been recently formulated as a...
Social media data are often modeled as heterogeneous graphs with multipl...
Text analytical tasks like word embedding, phrase mining, and topic mode...
We are developing a knowledge base over Chinese judicial decision docume...
We consider a community finding problem called Co-located
Community Dete...
We present our experience with a data science problem in Public Health, ...
Many data science applications like social network analysis use graphs a...
Temporal text, i.e., time-stamped text data are found abundantly in a va...