World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
53
Citations
10888
World Ranking
4838
National Ranking
2253

Research.com Recognitions

  • 2020 - ACM Senior Member
  • 2016 - IEEE Fellow For leadership in applications of machine learning to spoken and text language processing

Overview

Larry P. Heck is affiliated with the Georgia Institute of Technology in the United States. Their research primarily spans the field of Computer Science, with a focus on Artificial Intelligence as the main subfield. Additional areas of study include Computer Vision and Pattern Recognition, Plant Science, Insect Science, and Molecular Biology.

The scientist's work encompasses several key topics, including:

  • Topic Modeling
  • Natural Language Processing Techniques
  • Speech and Dialogue Systems
  • AI in Service Interactions
  • Context-Aware Activity Recognition Systems
  • Multimodal Machine Learning Applications
  • Advanced Text Analysis Techniques

Larry P. Heck has published extensively, with frequent contributions to these venues:

  • arXiv (Cornell University)
  • Transactions of the ASABE
  • Proceedings of the ACM on Human-Computer Interaction
  • Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies

Recent publications include:

  • Comparison of Droplet Size, Coverage, and Drift Potential from UAV Application Methods and Ground Application Methods on Row Crops, 2021, Transactions of the ASABE
  • "I don't know how to help with that" - Learning from Limitations of Modern Conversational Agent Systems in Caregiving Networks, 2023, Proceedings of the ACM on Human-Computer Interaction
  • Commonsense Reasoning for Conversational AI: A Survey of the State of the Art, 2023, arXiv (Cornell University)
  • Multimodal Conversational AI: A Survey of Datasets and Approaches, 2022, arXiv (Cornell University)
  • Grounding Open-Domain Instructions to Automate Web Support Tasks, 2021, arXiv (Cornell University)

Frequent collaborators in their research include Anirudh Sundar, B. Reichman, Christopher Richardson, Xiaofan Yu, and Lanxiang Hu.

Among the awards received, Larry P. Heck was named an ACM Senior Member in 2020 and was recognized as an IEEE Fellow in 2016 for leadership in applications of machine learning to spoken and text language processing.

Best Publications

  • Learning deep structured semantic models for web search using clickthrough data

    Po-Sen Huang;Xiaodong He;Jianfeng Gao;Li Deng

  • Using recurrent neural networks for slot filling in spoken language understanding

    Grégoire Mesnil;Yann Dauphin;Kaisheng Yao;Yoshua Bengio

  • Class-incremental Learning via Deep Model Consolidation

    Junting Zhang;Jie Zhang;Shalini Ghosh;Dawei Li

  • What is left to be understood in ATIS

    Gokhan Tur;Dilek Hakkani-Tur;Larry Heck

  • MSR Identity Toolbox v1.0: A MATLAB Toolbox for Speaker Recognition Research

    Seyed Omid Sadjadi;Malcolm Slaney;Larry Heck

  • Taking a HINT: Leveraging Explanations to Make Vision and Language Models More Grounded

    Ramprasaath Ramasamy Selvaraju;Stefan Lee;Yilin Shen;Hongxia Jin

  • Modeling dynamic prosodic variation for speaker verification.

    M. Kemal Sönmez;Elizabeth Shriberg;Larry P. Heck;Mitchel Weintraub

  • Contextual LSTM (CLSTM) models for Large scale NLP tasks.

    Shalini Ghosh;Oriol Vinyals;Brian Strope;Scott Roy

  • Voice authentication system having cognitive recall mechanism for password verification

    Larry P. Heck

  • Building a Conversational Agent Overnight with Dialogue Self-Play

    Pararth Shah;Dilek Hakkani-Tür;Gökhan Tür;Abhinav Rastogi

  • Translating Natural Language Utterances to Keyword Search Queries

    Dilek Zeynep Hakkani-Tur;Gokhan Tur;Rukmini Iyer;Larry Paul Heck

  • Dialogue Learning with Human Teaching and Feedback in End-to-End Trainable Task-Oriented Dialogue Systems

    Bing Liu;Gökhan Tür;Dilek Hakkani-Tür;Pararth Shah

  • A model-based transformational approach to robust speaker recognition.

    Remco Teunen;Ben Shahshahani;Larry P. Heck

  • Robust text-independent speaker identification over telephone channels

    H.A. Murthy;F. Beaufays;L.P. Heck;M. Weintraub

  • Towards Zero Shot Frame Semantic Parsing for Domain Scaling

    Ankur Bapna;Gökhan Tür;Dilek Hakkani-Tür;Larry P. Heck

  • Automated learning from a question and answering network of humans

    Larry P. Heck

  • A lognormal tied mixture model of pitch for prosody based speaker recognition.

    M. Kemal Sönmez;Larry P. Heck;Mitchel Weintraub;Elizabeth Shriberg

  • Deep learning for semantic parsing including semantic utterance classification

    Yann Nicolas Dauphin;Dilek Z. Hakkani-Tur;Gokhan Tur;Larry Paul Heck

  • Leveraging Deep Neural Networks and Knowledge Graphs for Entity Disambiguation

    Hongzhao Huang;Larry P. Heck;Heng Ji

  • Eye Gaze for Spoken Language Understanding in Multi-modal Conversational Interactions

    Dilek Hakkani-Tür;Malcolm Slaney;Asli Celikyilmaz;Larry Heck

Frequent Co-Authors

Dilek Hakkani-Tur
Dilek Hakkani-Tur University of Illinois at Urbana-Champaign
Gokhan Tur
Gokhan Tur Amazon (United States)
Ruhi Sarikaya
Ruhi Sarikaya Amazon (United States)
Elizabeth Shriberg
Elizabeth Shriberg International Computer Science Institute
Yann N. Dauphin
Yann N. Dauphin Google (United States)
Asli Celikyilmaz
Asli Celikyilmaz Facebook (United States)
Li Deng
Li Deng Citadel
C.-C. Jay Kuo
C.-C. Jay Kuo University of Southern California
Malcolm Slaney
Malcolm Slaney Stanford University
Thomas Dean
Thomas Dean Google (United States)

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