World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
36
Citations
4997
World Ranking
11327
National Ranking
719

Overview

Stephen Pulman is affiliated with the University of Oxford in the United Kingdom. Their research primarily lies within the domain of Computer Science, with a specialization in Artificial Intelligence, supported by nine publications in this subfield. Additional research interests include Experimental and Cognitive Psychology, Computer Vision and Pattern Recognition, Information Systems and Management, and Signal Processing.

Their work covers a range of topics including AI in Service Interactions, Cognitive Functions and Memory, Personal Information Management and User Behavior, Speech and Dialogue Systems, Context-Aware Activity Recognition Systems, Domain Adaptation and Few-Shot Learning, as well as Multimodal Machine Learning Applications.

Stephen Pulman's recent publications showcase contributions to topics at the intersection of natural language processing, reinforcement learning, and conversational AI. Selected papers include:

  • Intelligent Assistant Language Understanding On Device, 2023, arXiv (Cornell University)
  • Natural-language processing and requirements specifications, 2021, CL Technical Reports
  • Generalized Reinforcement Meta Learning for Few-Shot Optimization, 2020, arXiv (Cornell University)
  • QReCC - Question Rewriting in Conversational Context, 2021, Zenodo (CERN European Organization for Nuclear Research)
  • Using Pause Information for More Accurate Entity Recognition, 2021, arXiv (Cornell University)

Frequent collaborators alongside Stephen Pulman include scholars Raviteja Anantha, Srinivas Chappidi, Svitlana Vakulenko, Zhucheng Tu, and Shayne Longpre.

Scholarly outlets that regularly publish Stephen Pulman's work include Zenodo (CERN European Organization for Nuclear Research), arXiv (Cornell University), and CL Technical Reports.

Best Publications

  • Deep learning for answer sentence selection

    Lei Yu;Karl Moritz Hermann;Phil Blunsom;Stephen Pulman

  • Automatic extraction of protein interactions from scientific abstracts.

    James Thomas;David Milward;Christos Ouzounis;Stephen Pulman

  • Combining Symbolic and Distributional Models of Meaning

    Stephen Clark;Stephen Pulman

  • A Classifier-Based Approach to Preposition and Determiner Error Correction in L2 English

    Rachele De Felice;Stephen G. Pulman

  • Overview of the Core Language Engine

    Hiyan Alshawi;David M. Carter;Jan van Eijck;Robert C. Moore

  • Spoken language translation with MID-90's technology: a case study.

    Manny Rayner;Ivan Bretan;David M. Carter;Michael Collins

  • Automatic Short Answer Marking

    Stephen G Pulman;Jana Z Sukkarieh

  • CLARE: A Contextual Reasoning and Cooperative Response Framework for the Core Language Engine.

    Hiyan Alshawi;David M. Carter;Richard S. Crouch;Stephen Pulman

  • Characterizing Humour: An Exploration of Features in Humorous Texts

    Rada Mihalcea;Stephen Pulman

  • Automarking: using computational linguistics to score short‚ free−text responses

    Stephen Pulman

  • Higher Order Unification and the Interpretation of Focus

    Stephen G. Pulman;Stephen G. Pulman

  • Concrete sentence spaces for compositional distributional models of meaning

    Edward Grefenstette;Mehrnoosh Sadrzadeh;Stephen Clark;Bob Coecke

  • Open-Domain Question Answering Goes Conversational via Question Rewriting

    Raviteja Anantha;Svitlana Vakulenko;Zhucheng Tu;Shayne Longpre

  • Tweets about hospital quality: a mixed methods study

    Felix Greaves;Antony A Laverty;Daniel Ramirez Cano;Karo Moilanen

  • Aspectual Shift as Type Coercion

    Stephen G. Pulman

  • Grammars, parsers, and memory limitations

    Stephen Pulman

  • Computational morphology : practical mechanisms for the English lexicon

    Stephen Pulman

  • A Unified Sentence Space for Categorical Distributional-Compositional Semantics: Theory and Experiments

    Dimitri Kartsaklis;Mehrnoosh Sadrzadeh;Stephen Pulman

  • Flexible semantics for reinterpretation phenomena

    Stephen G. Pulman

  • Word Meaning and Belief

    Stephen Pulman

  • A computational framework for lexical description

    Graeme D. Ritchie;Stephen G. Pulman;Alan W. Black;Graham J. Russell

  • Controlled Language for Knowledge Representation

    Stephen Pulman

  • Unsupervised Classification of Dialogue Acts using a Dirichlet Process Mixture Model

    Nigel Crook;Ramon Granell;Stephen Pulman

  • Automatically Acquiring Models of Preposition Use

    Rachele De Felice;Stephen Pulman

  • Reasoning about Meaning in Natural Language with Compact Closed Categories and Frobenius Algebras

    Dimitri Kartsaklis;Mehrnoosh Sadrzadeh;Stephen Pulman;Bob Coecke

  • Interaction strategies for an affective conversational agent

    Cameron Smith;Nigel Crook;Johan Boye;Daniel Charlton

Frequent Co-Authors

John T. E. Richardson
John T. E. Richardson The Open University
Austin Tate
Austin Tate University of Edinburgh

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