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Computer Science

D-Index
43
Citations
13107
World Ranking
7780
National Ranking
3363

Overview

Chris Brockett is a researcher affiliated with Microsoft in the United States. Their work primarily spans the field of Computer Science, with a significant focus on Artificial Intelligence. Their research extends into related subfields such as Computer Vision and Pattern Recognition, Sociology and Political Science, Social Psychology, and General Social Sciences.

The main topics covered in their research include:

  • Topic Modeling
  • Natural Language Processing Techniques
  • Artificial Intelligence in Games
  • Speech and dialogue systems
  • Digital Games and Media
  • Multimodal Machine Learning Applications
  • Video Analysis and Summarization

Brockett's recent published papers demonstrate engagement with advances in natural language processing and dialog systems. Notable works include:

  • "A Controllable Model of Grounded Response Generation," 2021, Proceedings of the AAAI Conference on Artificial Intelligence
  • "A Token-level Reference-free Hallucination Detection Benchmark for Free-form Text Generation," 2022, Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  • "GODEL: Large-Scale Pre-Training for Goal-Directed Dialog," 2022, arXiv (Cornell University)
  • "Contextualized Perturbation for Textual Adversarial Attack," 2020, arXiv (Cornell University)
  • "RetGen: A Joint Framework for Retrieval and Grounded Text Generation Modeling," 2022, Proceedings of the AAAI Conference on Artificial Intelligence

The venues where Brockett has frequently published include:

  • arXiv (Cornell University)
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  • Proceedings of the National Academy of Sciences

Brockett collaborates regularly with a group of coauthors. Frequent collaborators include Bill Dolan, Yizhe Zhang, Sudha Rao, Michel Galley, and Jianfeng Gao, with whom they have published multiple papers.

Best Publications

  • A Diversity-Promoting Objective Function for Neural Conversation Models

    Jiwei Li;Michel Galley;Chris Brockett;Jianfeng Gao

  • Automatically Constructing a Corpus of Sentential Paraphrases.

    William B. Dolan;Chris Brockett

  • DialoGPT: Large-Scale Generative Pre-training for Conversational Response Generation

    Yizhe Zhang;Siqi Sun;Michel Galley;Yen-Chun Chen

  • A Persona-Based Neural Conversation Model

    Jiwei Li;Michel Galley;Chris Brockett;Georgios P. Spithourakis

  • A Neural Network Approach to Context-Sensitive Generation of Conversational Responses

    Alessandro Sordoni;Michel Galley;Michael Auli;Chris Brockett

  • Unsupervised construction of large paraphrase corpora: exploiting massively parallel news sources

    Bill Dolan;Chris Quirk;Chris Brockett

  • A Knowledge-Grounded Neural Conversation Model

    Marjan Ghazvininejad;Chris Brockett;Ming-Wei Chang;Bill Dolan

  • Monolingual Machine Translation for Paraphrase Generation

    Chris Quirk;Chris Brockett;William B. Dolan

  • Beyond SumBasic: Task-focused summarization with sentence simplification and lexical expansion

    Lucy Vanderwende;Hisami Suzuki;Chris Brockett;Ani Nenkova

  • Unsupervised learning of paraphrase/translation alternations and selective application thereof

    Christopher Brockett;Eric Breck;William Dolan

  • Generating Informative and Diverse Conversational Responses via Adversarial Information Maximization

    Yizhe Zhang;Michel Galley;Jianfeng Gao;Zhe Gan

  • Correcting ESL Errors Using Phrasal SMT Techniques

    Chris Brockett;William B. Dolan;Michael Gamon

  • System for identifying paraphrases using machine translation

    Christopher J. Brockett;William B. Dolan;Christopher B. Quirk

  • Contextualized Perturbation for Textual Adversarial Attack

    Dianqi Li;Yizhe Zhang;Hao Peng;Liqun Chen

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

    Michel Galley;Chris Brockett;Alessandro Sordoni;Yangfeng Ji

  • Using Contextual Speller Techniques and Language Modeling for ESL Error Correction

    Michael Gamon;Jianfeng Gao;Chris Brockett;Alexandre Klementiev

  • Language usage classifier

    Michael Gamon;William Dolan;Christopher Brockett

  • User-modifiable word lattice display for editing documents and search queries

    Christopher John Brockett;William Brennan Dolan

  • Image-Grounded Conversations: Multimodal Context for Natural Question and Response Generation

    Nasrin Mostafazadeh;Chris Brockett;Bill Dolan;Michel Galley

  • Conversing by Reading: Contentful Neural Conversation with On-demand Machine Reading.

    Lianhui Qin;Michel Galley;Chris Brockett;Xiaodong Liu

  • A Machine Learning Approach to the Automatic Evaluation of Machine Translation

    Simon Corston-Oliver;Michael Gamon;Chris Brockett

Frequent Co-Authors

Jianfeng Gao
Jianfeng Gao Microsoft (United States)
Michel Galley
Michel Galley Microsoft (United States)
William B. Dolan
William B. Dolan Microsoft (United States)
Chris Quirk
Chris Quirk Microsoft (United States)
Michael Gamon
Michael Gamon Microsoft (United States)
Lucy Vanderwende
Lucy Vanderwende University of Washington
Margaret Mitchell
Margaret Mitchell Hugging Face
Michael Auli
Michael Auli Facebook (United States)
Zhe Gan
Zhe Gan Microsoft (United States)
Jiwei Li
Jiwei Li Zhejiang University

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