291 citations · 3k across the 73 of their papers we have counts for
5 papers · 2 filters
Words or Characters? Fine-grained Gating for Reading Comprehension
Zhilin Yang, Bhuwan Dhingra, Ye Yuan +3
Previous work combines word-level and character-level representations using concatenation or scalar weighting, which is suboptimal for high-level tasks like reading comprehension.…
Bootstrapping Distantly Supervised IE using Joint Learning and Small Well-structured Corpora
Lidong Bing, Bhuwan Dhingra, Kathryn Mazaitis +2
We propose a framework to improve performance of distantly-supervised relation extraction, by jointly learning to solve two related tasks: concept-instance extraction and relation…
Gated-Attention Readers for Text Comprehension
Bhuwan Dhingra, Hanxiao Liu, Zhilin Yang +2
In this paper we study the problem of answering cloze-style questions over documents. Our model, the Gated-Attention (GA) Reader, integrates a multi-hop architecture with a novel a…
Multi-Task Cross-Lingual Sequence Tagging from Scratch
Zhilin Yang, Ruslan Salakhutdinov, William Cohen
We present a deep hierarchical recurrent neural network for sequence tagging. Given a sequence of words, our model employs deep gated recurrent units on both character and word lev…
Distant IE by Bootstrapping Using Lists and Document Structure
Lidong Bing, Mingyang Ling, Richard C. Wang +1
Distant labeling for information extraction (IE) suffers from noisy training data. We describe a way of reducing the noise associated with distant IE by identifying coupling constr…