1 code implementation • 4 Sep 2019 • Michihiro Yasunaga, Jungo Kasai, Rui Zhang, Alexander R. Fabbri, Irene Li, Dan Friedman, Dragomir R. Radev
Scientific article summarization is challenging: large, annotated corpora are not available, and the summary should ideally include the article's impacts on research community.
Ranked #1 on
Scientific Document Summarization
on CL-SciSumm
2 code implementations • ACL 2019 • Alexander R. Fabbri, Irene Li, Tianwei She, Suyi Li, Dragomir R. Radev
Automatic generation of summaries from multiple news articles is a valuable tool as the number of online publications grows rapidly.
Ranked #5 on
Multi-Document Summarization
on Multi-News
no code implementations • 26 Nov 2018 • Irene Li, Alexander R. Fabbri, Robert R. Tung, Dragomir R. Radev
The dataset will be useful for educational purposes such as lecture preparation and organization as well as applications such as reading list generation.
no code implementations • 27 Aug 2018 • Javid Dadashkarimi, Alexander Fabbri, Sekhar Tatikonda, Dragomir R. Radev
In this paper we propose to use feature transfer in a zero-shot experimental setting on the task of semantic parsing.
no code implementations • ACL 2018 • Alexander R. Fabbri, Irene Li, Prawat Trairatvorakul, Yijiao He, Wei Tai Ting, Robert Tung, Caitlin Westerfield, Dragomir R. Radev
The field of Natural Language Processing (NLP) is growing rapidly, with new research published daily along with an abundance of tutorials, codebases and other online resources.
no code implementations • 4 Feb 2014 • Vahed Qazvinian, Dragomir R. Radev, Saif M. Mohammad, Bonnie Dorr, David Zajic, Michael Whidby, Taesun Moon
Researchers and scientists increasingly find themselves in the position of having to quickly understand large amounts of technical material.
no code implementations • TACL 2014 • Ben King, Rahul Jha, Dragomir R. Radev
We present heterogeneous networks as a way to unify lexical networks with relational data.