Zeqiu Wu

CoType

2017

Extracting entities and relations for types of interest from text is important for understanding massive text corpora. Traditionally, systems of entity relation extraction have relied on human-annotated corpora for training and adopted an incremental pipeline. …

CoType: Joint Extraction of Typed Entities and Relations with Knowledge Bases

2016 · arXiv (Cornell University)

Extracting entities and relations for types of interest from text is important for understanding massive text corpora. Traditionally, systems of entity relation extraction have relied on human-annotated corpora for training and adopted an incremental pipeline. …

A Controllable Model of Grounded Response Generation

2021 · Proceedings of the AAAI Conference on Artificial Intelligence

Current end-to-end neural conversation models inherently lack the flexibility to impose semantic control in the response generation process, often resulting in uninteresting responses. Attempts to boost informativeness alone come at the expense of factual accuracy, …