D-Index & Metrics Best Publications

D-Index & Metrics

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Computer Science D-index 40 Citations 6,203 213 World Ranking 4602 National Ranking 275

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Machine learning
  • Programming language

His primary areas of study are Artificial intelligence, Natural language processing, Reinforcement learning, Human–computer interaction and Machine learning. His work deals with themes such as Field, Task, State and Reinforcement, which intersect with Artificial intelligence. His Natural language processing research is multidisciplinary, relying on both Context and Speech recognition, Utterance.

The Reinforcement learning study combines topics in areas such as Domain and Baseline. He has researched Human–computer interaction in several fields, including Autism, Social skills, Computer vision and Social robot. As part of the same scientific family, Oliver Lemon usually focuses on Machine learning, concentrating on Natural language and intersecting with Robot control, Parsing, Similarity measure and Hidden Markov model.

His most cited work include:

  • multithreaded context for robust conversational interfaces: Context-sensitive speech recognition and interpretation of corrective fragments (239 citations)
  • A Simple and Generic Belief Tracking Mechanism for the Dialog State Tracking Challenge: On the believability of observed information (146 citations)
  • DIPPER : Description and formalisation of an information-state update dialogue system architecture (128 citations)

What are the main themes of his work throughout his whole career to date?

His main research concerns Artificial intelligence, Natural language processing, Human–computer interaction, Reinforcement learning and Machine learning. His Artificial intelligence research includes themes of Context, Task and State. His studies in Natural language processing integrate themes in fields like Speech recognition, Conversation and Grammar.

His Human–computer interaction study combines topics in areas such as Interactive Learning, Multimedia, Robot and Interface. The concepts of his Reinforcement learning study are interwoven with issues in Domain, Dialogue management, Baseline and Referring expression generation. In most of his Machine learning studies, his work intersects topics such as Variety.

He most often published in these fields:

  • Artificial intelligence (55.00%)
  • Natural language processing (28.67%)
  • Human–computer interaction (24.33%)

What were the highlights of his more recent work (between 2016-2021)?

  • Artificial intelligence (55.00%)
  • Natural language processing (28.67%)
  • Human–computer interaction (24.33%)

In recent papers he was focusing on the following fields of study:

His primary areas of investigation include Artificial intelligence, Natural language processing, Human–computer interaction, Reinforcement learning and Robot. His research on Artificial intelligence frequently links to adjacent areas such as Machine learning. The various areas that Oliver Lemon examines in his Machine learning study include Phone and Word error rate.

His Natural language processing study incorporates themes from Conversation and Grammar. His Reinforcement learning research incorporates elements of Dialogue management, Task, Petri net, Interactive Learning and Control. The Robot study combines topics in areas such as Range, Situated and Human agent.

Between 2016 and 2021, his most popular works were:

  • Alana: Social Dialogue using an Ensemble Model and a Ranker trained on User Feedback (22 citations)
  • Hybrid chat and task dialogue for more engaging HRI using reinforcement learning (22 citations)
  • Combining Chat and Task-Based Multimodal Dialogue for More Engaging HRI: A Scalable Method Using Reinforcement Learning (19 citations)

In his most recent research, the most cited papers focused on:

  • Artificial intelligence
  • Machine learning
  • Programming language

Oliver Lemon spends much of his time researching Artificial intelligence, Human–computer interaction, Reinforcement learning, Conversation and Task. His work deals with themes such as Machine learning and Natural language processing, which intersect with Artificial intelligence. His work carried out in the field of Human–computer interaction brings together such families of science as Ensemble forecasting and Supervised learning.

His studies in Reinforcement learning integrate themes in fields like Baseline, Persuasion and Interface. His studies deal with areas such as SIGNAL, Ranking, Human–robot interaction, Dialogue management and Ranking as well as Conversation. His biological study spans a wide range of topics, including Domain, Robot, Scalability and Uncertain data.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

multithreaded context for robust conversational interfaces: Context-sensitive speech recognition and interpretation of corrective fragments

Oliver Lemon;Alexander Gruenstein.
ACM Transactions on Computer-Human Interaction (2004)

239 Citations

DIPPER : Description and formalisation of an information-state update dialogue system architecture

Johan Bos;Ewan Klein;Oliver Lemon;Tetsushi Oka.
annual meeting of the special interest group on discourse and dialogue (2003)

198 Citations

Learning user simulations for information state update dialogue systems

Kallirroi Georgila;James Henderson;Oliver Lemon.
conference of the international speech communication association (2005)

169 Citations

Developing technology for autism: an interdisciplinary approach

K. Porayska-Pomsta;C. Frauenberger;H. Pain;G. Rajendran.
ubiquitous computing (2012)

162 Citations

Hybrid reinforcement/supervised learning of dialogue policies from fixed data sets

James Henderson;James Henderson;Oliver Lemon;Oliver Lemon;Kallirroi Georgila;Kallirroi Georgila.
Computational Linguistics (2008)

156 Citations

A Simple and Generic Belief Tracking Mechanism for the Dialog State Tracking Challenge: On the believability of observed information

Zhuoran Wang;Oliver Lemon.
annual meeting of the special interest group on discourse and dialogue (2013)

149 Citations

User simulation for spoken dialogue systems: learning and evaluation

Kallirroi Georgila;James Henderson;Oliver Lemon.
conference of the international speech communication association (2006)

147 Citations

Human-computer dialogue simulation using hidden Markov models

H. Cuayahuitl;S. Renals;O. Lemon;H. Shimodaira.
ieee automatic speech recognition and understanding workshop (2005)

141 Citations

Collaborative Activities and Multi-tasking in Dialogue Systems Towards natural dialogue with robots

Oliver Lemon;Alexander Gruenstein;Stanley Peters.
TAL. Traitement automatique des langues (2002)

141 Citations

An ISU dialogue system exhibiting reinforcement learning of dialogue policies: generic slot-filling in the TALK in-car system

Oliver Lemon;Kallirroi Georgila;James Henderson;Matthew Stuttle.
conference of the european chapter of the association for computational linguistics (2006)

132 Citations

Best Scientists Citing Oliver Lemon

Steve Young

Steve Young

University of Cambridge

Publications: 62

Milica Gasic

Milica Gasic

Heinrich Heine University Düsseldorf

Publications: 59

Thomas R. Gruber

Thomas R. Gruber

Apple (United States)

Publications: 33

Jason D. Williams

Jason D. Williams

Apple (United States)

Publications: 28

Diane J. Litman

Diane J. Litman

University of Pittsburgh

Publications: 27

Kai Yu

Kai Yu

Shanghai Jiao Tong University

Publications: 23

Jerome R. Bellegarda

Jerome R. Bellegarda

Apple (United States)

Publications: 23

Johanna D. Moore

Johanna D. Moore

University of Edinburgh

Publications: 22

Dilek Hakkani-Tur

Dilek Hakkani-Tur

Amazon Alexa AI

Publications: 20

Jianfeng Gao

Jianfeng Gao

Microsoft (United States)

Publications: 18

Maxine Eskenazi

Maxine Eskenazi

Carnegie Mellon University

Publications: 18

David Traum

David Traum

University of Southern California

Publications: 18

Adam Cheyer

Adam Cheyer

Apple (United States)

Publications: 17

Marilyn A. Walker

Marilyn A. Walker

University of California, Santa Cruz

Publications: 17

Alex Lascarides

Alex Lascarides

University of Edinburgh

Publications: 16

Satoshi Nakamura

Satoshi Nakamura

Nara Institute of Science and Technology

Publications: 14

Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking d-index is inferred from publications deemed to belong to the considered discipline.

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