| What Does a 'Good' Essay Look Like? Rainbow Diagrams Representing Essay Quality. | 0 | 0.34 | 2017 |
| What Types of Essay Feedback Influence Implementation - Structure Alone or Structure and Content? | 0 | 0.34 | 2016 |
| OpenEssayist: a supply and demand learning analytics tool for drafting academic essays | 5 | 0.71 | 2015 |
| The pragmatics of margin comments: An empirical study | 0 | 0.34 | 2014 |
| Deep Learning for Answer Sentence Selection. | 104 | 3.90 | 2014 |
| Functional, Frustrating and Full of Potential: Learners’ Experiences of a Prototype for Automated Essay Feedback | 2 | 0.47 | 2014 |
| Reasoning about Meaning in Natural Language with Compact Closed Categories and Frobenius Algebras. | 12 | 0.74 | 2014 |
| Did I really mean that? Applying automatic summarisation techniques to formative feedback. | 1 | 0.34 | 2013 |
| Separating Disambiguation from Composition in Distributional Semantics. | 16 | 0.72 | 2013 |
| What is my essay really saying? Using extractive summarization to motivate reflection and redrafting. | 3 | 0.79 | 2013 |
| A Quantum Teleportation Inspired Algorithm Produces Sentence Meaning From Word Meaning And Grammatical Structure | 8 | 0.55 | 2013 |
| An unsupervised ranking model for noun-noun compositionality | 10 | 0.57 | 2012 |
| A Unified Sentence Space for Categorical Distributional-Compositional Semantics: Theory and Experiments. | 33 | 2.10 | 2012 |
| Building Semantic Networks from Plain Text and Wikipedia with Application to Semantic Relatedness and Noun Compound Paraphrasing. | 4 | 0.44 | 2012 |
| Generating context-sensitive ECA responses to user barge-in interruptions | 3 | 0.42 | 2012 |
| Learning semantics and selectional preference of adjective-noun pairs | 1 | 0.34 | 2012 |
| Concrete sentence spaces for compositional distributional models of meaning | 35 | 4.04 | 2011 |
| Semantic relatedness from automatically generated semantic networks | 3 | 0.38 | 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. | 0 | 0.34 | 2011 |
| Interaction strategies for an affective conversational agent | 10 | 0.68 | 2011 |
| Persuasive dialogue based on a narrative theory: an ECA implementation | 5 | 0.66 | 2010 |
| Conceptual knowledge acquisition using automatically generated large-scale semantic networks | 2 | 0.52 | 2010 |
| Computational models for incongruity detection in humour | 13 | 0.94 | 2010 |
| Simultaneous dialogue act segmentation and labelling using lexical and syntactic features | 0 | 0.34 | 2009 |
| Multi-entity Sentiment Scoring. | 5 | 0.61 | 2009 |
| Unsupervised classification of dialogue acts using a dirichlet process mixture model | 20 | 0.77 | 2009 |
| Linguistic Ethnography: Identifying Dominant Word Classes in Text | 6 | 0.50 | 2009 |
| The good, the bad, and the unknown: morphosyllabic sentiment tagging of unseen words | 11 | 0.85 | 2008 |
| Automatic fine-grained semantic classification for domain adaptation | 3 | 0.43 | 2008 |
| Characterizing Humour: An Exploration of Features in Humorous Texts | 33 | 1.85 | 2007 |
| Combining Symbolic and Distributional Models of Meaning. | 59 | 8.17 | 2007 |
| Sentence ordering with manifold-based classification in multi-document summarization | 10 | 0.55 | 2006 |
| Learning theories from text | 5 | 0.59 | 2004 |
| Relating dialogue games to information state | 4 | 0.57 | 2002 |
| From trees to predicate-argument structures | 8 | 1.10 | 2002 |
| Incorporating Linguistics Constraints into Inductive Logic Programming. | 12 | 0.85 | 2000 |
| Experiments in inductive chart parsing | 4 | 0.48 | 1999 |
