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20162021
most citedQuasar: Datasets for Question Answering by Search and Reading

138 citations · 297 across the 9 of their papers we have counts for

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Showing 2017Show all

5 papers · 1 filter

cs.CL2017138 cited

Quasar: Datasets for Question Answering by Search and Reading

Bhuwan Dhingra, Kathryn Mazaitis, William W. Cohen

We present two new large-scale datasets aimed at evaluating systems designed to comprehend a natural language query and extract its answer from a large corpus of text. The Quasar-S…

cs.CL201717 cited

Question Answering from Unstructured Text by Retrieval and Comprehension

Yusuke Watanabe, Bhuwan Dhingra, Ruslan Salakhutdinov

Open domain Question Answering (QA) systems must interact with external knowledge sources, such as web pages, to find relevant information. Information sources like Wikipedia, howe…

cs.LG2017

Using Graphs of Classifiers to Impose Declarative Constraints on Semi-supervised Learning

Lidong Bing, William W. Cohen, Bhuwan Dhingra

We propose a general approach to modeling semi-supervised learning (SSL) algorithms. Specifically, we present a declarative language for modeling both traditional supervised classi…

cs.CL201733 cited

Linguistic Knowledge as Memory for Recurrent Neural Networks

Bhuwan Dhingra, Zhilin Yang, William W. Cohen +1

Training recurrent neural networks to model long term dependencies is difficult. Hence, we propose to use external linguistic knowledge as an explicit signal to inform the model wh…

cs.CL201730 cited

A Comparative Study of Word Embeddings for Reading Comprehension

Bhuwan Dhingra, Hanxiao Liu, Ruslan Salakhutdinov +1

The focus of past machine learning research for Reading Comprehension tasks has been primarily on the design of novel deep learning architectures. Here we show that seemingly minor…