Papers by Kathryn Mazaitis

1 papers
Open Domain Question Answering Using Early Fusion of Knowledge Bases and Text (D18-1)

Copied to clipboard

Challenge: Specialized neural models have been developed for extracting answers from text alone or Knowledge Bases (KBs) alone.
Approach: They propose a novel model for extracting answers from a question-specific subgraph containing text and KB entities and relations.
Outcome: The proposed model outperforms existing methods in a combination of a KB and entity-linked text in QA over a large text corpus.

What is GenGO?

GenGO is an NLP powered publication search system. It currenctly indexes 30k+ papers from ACL Anthology, and implements multi-aspect summarization, semantic search, and more!

Information

About
Limitations