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 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.
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.
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.
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)
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)
Learning user simulations for information state update dialogue systems
Kallirroi Georgila;James Henderson;Oliver Lemon.
conference of the international speech communication association (2005)
Developing technology for autism: an interdisciplinary approach
K. Porayska-Pomsta;C. Frauenberger;H. Pain;G. Rajendran.
ubiquitous computing (2012)
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)
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)
User simulation for spoken dialogue systems: learning and evaluation
Kallirroi Georgila;James Henderson;Oliver Lemon.
conference of the international speech communication association (2006)
Human-computer dialogue simulation using hidden Markov models
H. Cuayahuitl;S. Renals;O. Lemon;H. Shimodaira.
ieee automatic speech recognition and understanding workshop (2005)
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)
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)
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.
If you think any of the details on this page are incorrect, let us know.
We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below: