Chris Quirk

deltaBLEU: A Discriminative Metric for Generation Tasks with Intrinsically Diverse Targets

2015 · arXiv (Cornell University)

We introduce Discriminative BLEU (deltaBLEU), a novel metric for intrinsic evaluation of generated text in tasks that admit a diverse range of possible outputs. Reference strings are scored for quality by human raters on a …

Compositional Learning of Embeddings for Relation Paths in Knowledge Base and Text

2016

Modeling relation paths has offered significant gains in embedding models for knowledge base (KB) completion. However, enumerating paths between two entities is very expensive, and existing approaches typically resort to approximation with a sampled subset. …

Cross-Sentence N-ary Relation Extraction with Graph LSTMs

2017 · arXiv (Cornell University)

Past work in relation extraction has focused on binary relations in single sentences. Recent NLP inroads in high-value domains have sparked interest in the more general setting of extracting n-ary relations that span multiple sentences. …

Cross-Sentence <i>N</i>-ary Relation Extraction with Graph LSTMs

2017 · Transactions of the Association for Computational Linguistics

Past work in relation extraction has focused on binary relations in single sentences. Recent NLP inroads in high-value domains have sparked interest in the more general setting of extracting n-ary relations that span multiple sentences. …

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, …