Parsing And Syntactic Theory. - Stephen G. Pulman (COLING, 1980)

Limited Domain Systems For Language Teaching. - Stephen G. Pulman (COLING, 1984)

A Parser That Doesn't. - Stephen G. Pulman (EACL, 1985)

A Dictionary and Morphological Analyser for English. - Graham Russell; Stephen G. Pulman; Graeme D. Ritchie; Alan W. Black (COLING, 1986)

Formalisms For Morphographemic Description. - Alan W. Black; Graeme D. Ritchie; Stephen G. Pulman; Graham Russell (EACL, 1987)

Passives. - Stephen G. Pulman (EACL, 1987)

Unification and the new grammatism. - Stephen G. Pulman (TINLAP, 1987)

A Computational Framework for Lexical Description. - Graeme D. Ritchie; Stephen G. Pulman; Alan W. Black; Graham Russell (Comput. Linguistics, 1987)

Overview of the Core Language Engine. - Hiyan Alshawi; David M. Carter; Jan van Eijck; Robert C. Moore; Douglas B. Moran; Stephen G. Pulman (FGCS, 1988)

Interacting with an intelligent planning system using English sentences. - B. Crabtree; N. Pirie; Richard S. Crouch; Stephen G. Pulman; D. C. Moffat; Graeme D. Ritchie; Austin Tate (Expert Planning Systems, 1990)

Comparatives And Ellipsis. - Stephen G. Pulman (EACL, 1991)

A speech-based route enquiry system built from general-purpose components. - Ian Lewin; Martin J. Russell; David M. Carter; Sue Browning; Keith Ponting; Stephen G. Pulman (EUROSPEECH, 1993)

Spoken language translation with MID-90's technology: a case study. - Manny Rayner; Ivan Bretan; David M. Carter; Michael Collins 001; Vassilios Digalakis; Björn Gambäck; Jaan Kaja; Jussi Karlgren; Bertil Lyberg; Stephen G. Pulman; Patti Price; Christer Samuelsson (EUROSPEECH, 1993)

A Speech To Speech Translation System Built From Standard Components. - Manny Rayner; Hiyan Alshawi; Ivan Bretan; David M. Carter; Vassilios Digalakis; Björn Gambäck; Jaan Kaja; Jussi Karlgren; Bertil Lyberg; Stephen G. Pulman; Patti Price; Christer Samuelsson (HLT, 1993)

Time and Modality in a Natural Language Interface to a Planning System. - Richard S. Crouch; Stephen G. Pulman (Artif. Intell., 1993)

A feature-based formalism for two-level phonology: a description and implementation. - Stephen G. Pulman; Mark Hepple (Comput. Speech Lang., 1993)

CLARE: A Contextual Reasoning and Cooperative Response Framework for the Core Language Engine. - Hiyan Alshawi; David M. Carter; Richard S. Crouch; Stephen Pulman; Manny Rayner; Arnold Smith (CoRR, 1994)

A Method for Controlling the Production of Specifications in Natural Language. - Benjamin Macias; Stephen G. Pulman (Comput. J., 1995)

Anaphora and ellipsis in artificial languages. - Stephen G. Pulman (Nat. Lang. Eng., 1995)

Compiling a Partition-Based Two-Level Formalism. - Edmund Grimley-Evans; George Anton Kiraz; Stephen G. Pulman (COLING, 1996)

Unification Encodings of Grammatical Notations. - Stephen G. Pulman (Comput. Linguistics, 1996)

Experiments in Inductive Chart Parsing. - James Cussens; Stephen G. Pulman (Learning Language in Logic, 1999)

Tutorial: Automated Deduction and Natural Language Understanding. - Stephen G. Pulman (CADE, 2000)

Incorporating Linguistics Constraints into Inductive Logic Programming. - James Cussens; Stephen Pulman (CoNLL/LLL, 2000)

Bidirectional Contextual Resolution. - Stephen G. Pulman (Comput. Linguistics, 2000)

From Trees to Predicate-argument Structures. - Maria Liakata; Stephen G. Pulman (COLING, 2002)

Relating dialogue games to information state. - Stephen G. Pulman (Speech Commun., 2002)

Learning domain theories. - Stephen G. Pulman; Maria Liakata (RANLP, 2003)

Learning theories from text. - Maria Liakata; Stephen G. Pulman (COLING, 2004)

Information Extraction and Machine Learning: Auto-Marking Short Free Text Responses to Science Questions. - Jana Z. Sukkarieh; Stephen G. Pulman (AIED, 2005)

Sentence ordering with manifold-based classification in multi-document summarization. - Paul D. Ji; Stephen G. Pulman (EMNLP, 2006)

Combining Symbolic and Distributional Models of Meaning. - Stephen Clark; Stephen Pulman (AAAI Spring Symposium: Quantum Interaction, 2007)

Characterizing Humour: An Exploration of Features in Humorous Texts. - Rada Mihalcea; Stephen G. Pulman (CICLing, 2007)

Flexible Semantics for Reinterpretation Phenomena Markus Egg (University of Groningen) Stanford, CA: CSLI Publications (CSLI Studies in Computational Linguistics, edited by Ann Copestake), 2006, xxi+239 pp; paperbound, ISBN 1-57586-502-5. - Stephen G. Pulman (Comput. Linguistics, 2007)

Automatic Fine-Grained Semantic Classification for Domain Adaptation. - Maria Liakata; Stephen Pulman (STEP, 2008)

The Good, the Bad, and the Unknown: Morphosyllabic Sentiment Tagging of Unseen Words. - Karo Moilanen; Stephen G. Pulman (ACL (2), 2008)

A Classifier-Based Approach to Preposition and Determiner Error Correction in L2 English. - Rachele De Felice; Stephen G. Pulman (COLING, 2008)

ILP-based Conceptual Analysis for Chinese NPs. - Paul D. Ji; Stephen G. Pulman (COLING (Posters), 2008)

Linguistic Ethnography: Identifying Dominant Word Classes in Text. - Rada Mihalcea; Stephen G. Pulman (CICLing, 2009)

Multi-entity Sentiment Scoring. - Karo Moilanen; Stephen Pulman (RANLP, 2009)

Unsupervised Classification of Dialogue Acts using a Dirichlet Process Mixture Model. - Nigel T. Crook; Ramón Granell; Stephen G. Pulman (SIGDIAL Conference, 2009)

Simultaneous Dialogue Act Segmentation and Labelling using Lexical and Syntactic Features. - Ramón Granell; Stephen G. Pulman; Carlos D. Martínez-Hinarejos (SIGDIAL Conference, 2009)

Computational Models for Incongruity Detection in Humour. - Rada Mihalcea; Carlo Strapparava; Stephen G. Pulman (CICLing, 2010)

Conceptual Knowledge Acquisition Using Automatically Generated Large-Scale Semantic Networks. - Pia-Ramona Wojtinnek; Brian Harrington 001; Sebastian Rudolph; Stephen Pulman (ICCS, 2010)

Dialogue act tagging and segmentation with a single perceptron. - Ramón Granell; Stephen G. Pulman; Carlos D. Martínez-Hinarejos; José-Miguel Benedí (INTERSPEECH, 2010)

Interaction Strategies for an Affective Conversational Agent. - Cameron G. Smith; Nigel T. Crook; Johan Boye; Daniel Charlton; Simon Dobnik; David Pizzi; Marc Cavazza; Stephen G. Pulman; Raúl Santos de la Cámara; Markku Turunen (IVA, 2010)

Persuasive Dialogue Based on a Narrative Theory: An ECA Implementation. - Marc Cavazza; Cameron G. Smith; Daniel Charlton; Nigel T. Crook; Johan Boye; Stephen G. Pulman; Karo Moilanen; David Pizzi; Raúl Santos de la Cámara; Markku Turunen (PERSUASIVE, 2010)

Concrete Sentence Spaces for Compositional Distributional Models of Meaning. - Edward Grefenstette; Mehrnoosh Sadrzadeh; Stephen Clark; Bob Coecke; Stephen Pulman (IWCS, 2011)

Semantic Relatedness from Automatically Generated Semantic Networks. - Pia-Ramona Wojtinnek; Stephen Pulman (IWCS, 2011)

Automated Grammatical Error Detection for Language Learners Claudia Leacock, Martin Chodorow, Michael Gamon, and Joel Tetreault (Butler Hill Group, Hunter College, Microsoft Research, Educational Testing Service) Morgan & Claypool (Synthesis lectures on human language technologies, edited by Graeme Hirst, volume 9), 2010, ix+122 pp; paperbound, ISBN 978-1-60845-470-9, $40; ebook, ISBN 978-1-60845-471-6, $30 or by subscription. - Stephen Pulman (Comput. Linguistics, 2011)

Interpreting noun compounds using paraphrases. - András Dobó; Stephen G. Pulman (Proces. del Leng. Natural, 2011)

Interaction Strategies for an Affective Conversational Agent. - Cameron G. Smith; Nigel T. Crook; Simon Dobnik; Daniel Charlton; Johan Boye; Stephen G. Pulman; Raúl Santos de la Cámara; Markku Turunen; David Benyon; Jay Bradley; Björn Gambäck; Preben Hansen; et al. (Presence Teleoperators Virtual Environ., 2011)

A Unified Sentence Space for Categorical Distributional-Compositional Semantics: Theory and Experiments. - Dimitri Kartsaklis; Mehrnoosh Sadrzadeh; Stephen Pulman (COLING (Posters), 2012)

An Unsupervised Ranking Model for Noun-Noun Compositionality. - Karl Moritz Hermann; Phil Blunsom; Stephen Pulman (*SEM@NAACL-HLT, 2012)

Learning Semantics and Selectional Preference of Adjective-Noun Pairs. - Karl Moritz Hermann; Chris Dyer; Phil Blunsom; Stephen Pulman (*SEM@NAACL-HLT, 2012)

Building Semantic Networks from Plain Text and Wikipedia with Application to Semantic Relatedness and Noun Compound Paraphrasing. - Pia-Ramona Wojtinnek; Stephen Pulman; Johanna Völker (Int. J. Semantic Comput., 2012)

Generating context-sensitive ECA responses to user barge-in interruptions. - Nigel T. Crook; Debora Field; Cameron G. Smith; Sue Harding; Stephen Pulman; Marc Cavazza; Daniel Charlton; Roger K. Moore; Johan Boye (J. Multimodal User Interfaces, 2012)

Distributional Semantic Models. - Stephen Pulman (Quantum Physics and Linguistics, 2013)

What is my essay really saying? Using extractive summarization to motivate reflection and redrafting. - Nicolas van Labeke; Denise Whitelock; Debora Field; Stephen Pulman; John T. E. Richardson (AIED Workshops, 2013)

Separating Disambiguation from Composition in Distributional Semantics. - Dimitri Kartsaklis; Mehrnoosh Sadrzadeh; Stephen Pulman (CoNLL, 2013)

Did I really mean that? Applying automatic summarisation techniques to formative feedback. - Debora Field; Stephen Pulman; Nicolas van Labeke; Denise Whitelock; John T. E. Richardson (RANLP, 2013)

A quantum teleportation inspired algorithm produces sentence meaning from word meaning and grammatical structure - Stephen Clark; Bob Coecke; Edward Grefenstette; Stephen Pulman; Mehrnoosh Sadrzadeh (CoRR, 2013)

The pragmatics of margin comments: An empirical study. - Debora Field; Stephen G. Pulman; Denise Whitelock (BEA@ACL, 2014)

Functional, Frustrating and Full of Potential: Learners' Experiences of a Prototype for Automated Essay Feedback. - Bethany Alden Rivers; Denise Whitelock; John T. E. Richardson; Debora Field; Stephen Pulman (CAA, 2014)

Reasoning about Meaning in Natural Language with Compact Closed Categories and Frobenius Algebras. - Dimitri Kartsaklis; Mehrnoosh Sadrzadeh; Stephen Pulman; Bob Coecke (CoRR, 2014)

Deep Learning for Answer Sentence Selection. - Lei Yu 008; Karl Moritz Hermann; Phil Blunsom; Stephen Pulman (CoRR, 2014)

OpenEssayist: a supply and demand learning analytics tool for drafting academic essays. - Denise Whitelock; Alison Twiner; John T. E. Richardson; Debora Field; Stephen G. Pulman (LAK, 2015)

What Types of Essay Feedback Influence Implementation: Structure Alone or Structure and Content? - Denise Whitelock; Alison Twiner; John T. E. Richardson; Debora Field; Stephen Pulman (TEA, 2016)

What Does a 'Good' Essay Look Like? Rainbow Diagrams Representing Essay Quality. - Denise Whitelock; Alison Twiner; John T. E. Richardson; Debora Field; Stephen Pulman (TEA, 2017)

Second order inference in natural language semantics. - Stephen G. Pulman (J. Lang. Model., 2018)

Active Learning for Domain Classification in a Commercial Spoken Personal Assistant. - Xi C. Chen; Adithya Sagar; Justine T. Kao; Tony Y. Li; Christopher Klein; Stephen Pulman; Ashish Garg; Jason D. Williams (INTERSPEECH, 2019)

Leveraging User Engagement Signals For Entity Labeling in a Virtual Assistant. - Deepak Muralidharan; Justine T. Kao; Xiao Yang; Lin Li; Lavanya Viswanathan; Mubarak Seyed Ibrahim; Kevin Luikens; Stephen Pulman; Ashish Garg; Atish Kothari; Jason D. Williams (CoRR, 2019)

Lattice-Based Improvements for Voice Triggering Using Graph Neural Networks. - Pranay Dighe; Saurabh Adya; Nuoyu Li; Srikanth Vishnubhotla; Devang Naik; Adithya Sagar; Ying Ma; Stephen Pulman; Jason D. Williams (ICASSP, 2020)

Generalized Reinforcement Meta Learning for Few-Shot Optimization. - Raviteja Anantha; Stephen Pulman; Srinivas Chappidi (CoRR, 2020)

Noise-robust Named Entity Understanding for Virtual Assistants. - Deepak Muralidharan; Joel Ruben Antony Moniz; Sida Gao; Xiao Yang; Lin Li; Justine T. Kao; Stephen Pulman; Atish Kothari; Ray Shen; Yinying Pan; Vivek Kaul; Mubarak Seyed Ibrahim; et al. (CoRR, 2020)

DEXTER: Deep Encoding of External Knowledge for Named Entity Recognition in Virtual Assistants. - Deepak Muralidharan; Joel Ruben Antony Moniz; Weicheng Zhang; Stephen Pulman; Lin Li; Megan Barnes; Jingjing Pan; Jason D. Williams; Alex Acero (Interspeech, 2021)

Open-Domain Question Answering Goes Conversational via Question Rewriting. - Raviteja Anantha; Svitlana Vakulenko; Zhucheng Tu; Shayne Longpre; Stephen Pulman; Srinivas Chappidi (NAACL-HLT, 2021)

Noise Robust Named Entity Understanding for Voice Assistants. - Deepak Muralidharan; Joel Ruben Antony Moniz; Sida Gao; Xiao Yang; Justine T. Kao; Stephen Pulman; Atish Kothari; Ray Shen; Yinying Pan; Vivek Kaul; Mubarak Seyed Ibrahim; Gang Xiang; et al. (NAACL-HLT (Industry Papers), 2021)

Using Pause Information for More Accurate Entity Recognition. - Sahas Dendukuri; Pooja Chitkara; Joel Ruben Antony Moniz; Xiao Yang; Manos Tsagkias; Stephen Pulman (CoRR, 2021)

Feedback Effect in User Interaction with Intelligent Assistants: Delayed Engagement, Adaption and Drop-out. - Zidi Xiu; Kai-Chen Cheng; David Q. Sun; Jiannan Lu; Hadas Kotek; Yuhan Zhang; Paul McCarthy; Christopher Klein; Stephen Pulman; Jason D. Williams (PAKDD (2), 2023)

Intelligent Assistant Language Understanding On Device. - Cecilia Aas; Hisham Abdelsalam; Irina Belousova; Shruti Bhargava; Jianpeng Cheng 002; Robert Daland; Joris Driesen; Federico Flego; Tristan Guigue; Anders Johannsen; Partha Lal; Jiarui Lu; et al. (CoRR, 2023)