Peng Qi

According to our database1, Peng Qi authored at least 15 papers between 2014 and 2018.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2018
Graph Convolution over Pruned Dependency Trees Improves Relation Extraction.
CoRR, 2018

HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answering.
CoRR, 2018

Sharp Nearby, Fuzzy Far Away: How Neural Language Models Use Context.
CoRR, 2018

Graph Convolution over Pruned Dependency Trees Improves Relation Extraction.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answering.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Universal Dependency Parsing from Scratch.
Proceedings of the CoNLL 2018 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies, Brussels, Belgium, October 31, 2018

Sharp Nearby, Fuzzy Far Away: How Neural Language Models Use Context.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

2017
Building DNN acoustic models for large vocabulary speech recognition.
Computer Speech & Language, 2017

Arc-swift: A Novel Transition System for Dependency Parsing.
CoRR, 2017

Stanford at TAC KBP 2017: Building a Trilingual Relational Knowledge Graph.
Proceedings of the 2017 Text Analysis Conference, 2017


Stanford's Graph-based Neural Dependency Parser at the CoNLL 2017 Shared Task.
Proceedings of the CoNLL 2017 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies, 2017

Arc-swift: A Novel Transition System for Dependency Parsing.
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

2016
Stanford at TAC KBP 2016: Sealing Pipeline Leaks and Understanding Chinese.
Proceedings of the 2016 Text Analysis Conference, 2016

2014
Increasing Deep Neural Network Acoustic Model Size for Large Vocabulary Continuous Speech Recognition.
CoRR, 2014


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