Peng Qi

Orcid: 0000-0001-9378-3355

Affiliations:
  • Amazon AWS AI, USA
  • JD AI Research, Mountain View, CA, USA (former)
  • Stanford University, CA, USA (former)


According to our database1, Peng Qi authored at least 33 papers between 2014 and 2023.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

Online presence:

On csauthors.net:

Bibliography

2023
Trustworthy AI: From Principles to Practices.
ACM Comput. Surv., 2023

Tokenization Consistency Matters for Generative Models on Extractive NLP Tasks.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

PragmatiCQA: A Dataset for Pragmatic Question Answering in Conversations.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Language Agnostic Multilingual Information Retrieval with Contrastive Learning.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

RobustQA: Benchmarking the Robustness of Domain Adaptation for Open-Domain Question Answering.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022
SpanDrop: Simple and Effective Counterfactual Learning for Long Sequences.
CoRR, 2022

Neural Generation Meets Real People: Building a Social, Informative Open-Domain Dialogue Agent.
CoRR, 2022

Neural Generation Meets Real People: Building a Social, Informative Open-Domain Dialogue Agent.
Proceedings of the 23rd Annual Meeting of the Special Interest Group on Discourse and Dialogue, 2022

Improving Time Sensitivity for Question Answering over Temporal Knowledge Graphs.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021
Biomedical and clinical English model packages for the Stanza Python NLP library.
J. Am. Medical Informatics Assoc., 2021

Conversational AI Systems for Social Good: Opportunities and Challenges.
CoRR, 2021

Entity and Evidence Guided Document-Level Relation Extraction.
Proceedings of the 6th Workshop on Representation Learning for NLP, 2021

Graph Ensemble Learning over Multiple Dependency Trees for Aspect-level Sentiment Classification.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Answering Open-Domain Questions of Varying Reasoning Steps from Text.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Do Syntax Trees Help Pre-trained Transformers Extract Information?
Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

Open Temporal Relation Extraction for Question Answering.
Proceedings of the 3rd Conference on Automated Knowledge Base Construction, 2021

2020
Explainable and efficient knowledge acquisition from text.
PhD thesis, 2020

Retrieve, Rerank, Read, then Iterate: Answering Open-Domain Questions of Arbitrary Complexity from Text.
CoRR, 2020

Neural Generation Meets Real People: Towards Emotionally Engaging Mixed-Initiative Conversations.
CoRR, 2020

Stay Hungry, Stay Focused: Generating Informative and Specific Questions in Information-Seeking Conversations.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Stanza: A Python Natural Language Processing Toolkit for Many Human Languages.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: System Demonstrations, 2020

2019
Answering Complex Open-domain Questions Through Iterative Query Generation.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

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.
Comput. Speech Lang., 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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