Structured Meanings in Computational Linguistics. - Kees van Deemter (COLING, 1990)

Forward References in Natural Language. - Kees van Deemter (J. Semant., 1990)

A self-promoting and explanatory audio control panel. - John de Vet; Kees van Deemter; Hans Kemp; Jack Gerrissen (CHI Posters and Short Talks, 1992)

Towards a Generalization of Anaphora. - Kees van Deemter (J. Semant., 1992)

What's New? A Semantic Perspective on Sentence Accent. - Kees van Deemter (J. Semant., 1994)

Context Modeling for Language and Speech Generation. - Kees van Deemter (Real Applications@ACL/EACL, 1997)

Context modeling and the generation of spoken discourse. - Kees van Deemter; Jan Odijk (Speech Commun., 1997)

A blackboard model of accenting. - Kees van Deemter (Comput. Speech Lang., 1998)

Ambiguity and Idiosyncratic Interpretation. - Kees van Deemter (J. Semant., 1998)

On the Interpretation of Anaphoric Noun Phrases: Towards a Full Understanding of Partial Matches. - Emiel Krahmer; Kees van Deemter (J. Semant., 1998)

What is coreference, and what should coreference annotation be? - Kees van Deemter; Rodger Kibble (COREF@ACL, 1999)

Inclusion of Picture Sequences in Generated Documents. - Kees van Deemter; Richard Power (EPIA, 1999)

Document Generation and Picture Retrieval. - Kees van Deemter (VISUAL, 1999)

Authoring Multimedia Documents using WYSIWYM Editing. - Kees van Deemter; Richard Power (COLING, 2000)

Generating Vague Descriptions. - Kees van Deemter (INLG, 2000)

Coreference Annotation: Whither? - Rodger Kibble; Kees van Deemter (LREC, 2000)

On Coreferring: Coreference in MUC and Related Annotation Schemes. - Kees van Deemter; Rodger Kibble (Comput. Linguistics, 2000)

From RAGS to RICHES: Exploiting the Potential of a Flexible Generation Architecture. - Lynne J. Cahill; John Carroll 001; Roger Evans; Daniel S. Paiva; Richard Power; Donia Scott; Kees van Deemter (ACL, 2001)

Logical Form Equivalence: the Case of Referring Expressions Generation. - Kees van Deemter; Magnús M. Halldórsson (EWNLG@ACL, 2001)

Information sharing - reference and presupposition in language generation and interpretation. - Kees van Deemter; Rodger Kibble (CSLI Publications, 2002)

Generating Easy References: the Case of Document Deixis. - Ivandré Paraboni; Kees van Deemter (INLG, 2002)

Generating Referring Expressions: Boolean Extensions of the Incremental Algorithm. - Kees van Deemter (Comput. Linguistics, 2002)

Towards Automated Generation of Scripted Dialogue: Some Time-Honoured Strategies - Paul Piwek; Kees van Deemter (CoRR, 2003)

Dialogue as Discourse: Controlling Global Properties of Scripted Dialogue - Paul Piwek; Kees van Deemter (CoRR, 2003)

High-level authoring of illustrated documents. - Kees van Deemter; Richard Power (Nat. Lang. Eng., 2003)

Finetuning NLG Through Experiments with Human Subjects: The Case of Vague Descriptions. - Kees van Deemter (INLG, 2004)

Towards a Probabilistic Version of Bidirectional OT Syntax and Semantics. - Kees van Deemter (J. Semant., 2004)

Real versus Template-Based Natural Language Generation: A False Opposition? - Kees van Deemter; Mariët Theune; Emiel Krahmer (Comput. Linguistics, 2005)

Conceptual Coherence in the Generation of Referring Expressions. - Albert Gatt; Kees van Deemter (ACL, 2006)

Referring Via Document Parts. - Ivandré Paraboni; Kees van Deemter (CICLing, 2006)

Building a Semantically Transparent Corpus for the Generation of Referring Expressions. - Kees van Deemter; Ielka van der Sluis; Albert Gatt (INLG, 2006)

The Clarity-Brevity Trade-off in Generating Referring Expressions. - Imtiaz Hussain Khan; Graeme Ritchie; Kees van Deemter (INLG, 2006)

Overspecified Reference in Hierarchical Domains: Measuring the Benefits for Readers. - Ivandré Paraboni; Judith Masthoff; Kees van Deemter (INLG, 2006)

Generating Referring Expressions that Involve Gradable Properties. - Kees van Deemter (Comput. Linguistics, 2006)

Incremental Generation of Plural Descriptions: Similarity and Partitioning. - Albert Gatt; Kees van Deemter (EMNLP-CoNLL, 2007)

Evaluating algorithms for the Generation of Referring Expressions using a balanced corpus. - Albert Gatt; Ielka van der Sluis; Kees van Deemter (ENLG, 2007)

An Inferential Approach to the Generation of Referring Expressions. - Madalina Croitoru; Kees van Deemter (ICCS, 2007)

A Conceptual Graph Approach for the Generation of Referring Expressions. - Madalina Croitoru; Kees van Deemter (IJCAI, 2007)

Generating Referring Expressions: Making Referents Easy to Identify. - Ivandré Paraboni; Kees van Deemter; Judith Masthoff (Comput. Linguistics, 2007)

Lexical Choice and Conceptual Perspective in the Generation of Plural Referring Expressions. - Albert Gatt; Kees van Deemter (J. Log. Lang. Inf., 2007)

Generation of Referring Expressions: Managing Structural Ambiguities. - Imtiaz Hussain Khan; Kees van Deemter; Graeme Ritchie (COLING, 2008)

Fully generated scripted dialogue for embodied agents. - Kees van Deemter; Brigitte Krenn; Paul Piwek; Martin Klesen; Marc Schröder 001; Stefan Baumann (Artif. Intell., 2008)

Vagueness Facilitates Search. - Kees van Deemter (Amsterdam Colloquium on Logic, Language and Meaning, 2009)

What Game Theory Can Do for NLG: The Case of Vague Language (Invited Talk). - Kees van Deemter (ENLG, 2009)

A Hearer-Oriented Evaluation of Referring Expression Generation. - Imtiaz Hussain Khan; Kees van Deemter; Graeme Ritchie; Albert Gatt; Alexandra A. Cleland (ENLG, 2009)

Utility and Language Generation: The Case of Vagueness. - Kees van Deemter (J. Philos. Log., 2009)

Generating Referring Expressions with OWL2. - Yuan Ren 001; Kees van Deemter; Jeff Z. Pan (Description Logics, 2010)

Natural Reference to Objects in a Visual Domain. - Margaret Mitchell; Kees van Deemter; Ehud Reiter (INLG, 2010)

Charting the Potential of Description Logic for the Generation of Referring Expressions. - Yuan Ren 001; Kees van Deemter; Jeff Z. Pan (INLG, 2010)

PRE-CogSci 2011 - Bridging the gap between computational, empirical and theoretical approaches to reference. - Kees van Deemter; Albert Gatt; Roger P. G. van Gompel; Emiel Krahmer (CogSci, 2011)

Audience Design in the Generation of References to Famous People. - Roman Kutlák; Kees van Deemter; Chris Mellish (CogSci, 2011)

On the Use of Size Modifiers When Referring to Visible Objects. - Margaret Mitchell; Kees van Deemter; Ehud Reiter (CogSci, 2011)

Direction giving: an attempt to increase user engagement. - Bob Duncan; Kees van Deemter (ENLG, 2011)

Two Approaches for Generating Size Modifiers. - Margaret Mitchell; Kees van Deemter; Ehud Reiter (ENLG, 2011)

Does domain size impact speech onset time during reference production? - Albert Gatt; Roger P. G. van Gompel; Emiel Krahmer; Kees van Deemter (CogSci, 2012)

Corpus-based metrics for assessing communal common ground. - Roman Kutlák; Kees van Deemter; Chris Mellish (CogSci, 2012)

Blogging birds: Generating narratives about reintroduced species to promote public engagement. - Advaith Siddharthan; Matthew Green 002; Kees van Deemter; Chris Mellish; René van der Wal (INLG, 2012)

Generation of Referring Expressions: Assessing the Incremental Algorithm. - Kees van Deemter; Albert Gatt; Ielka van der Sluis; Richard Power (Cogn. Sci., 2012)

Assessing the Incremental Algorithm: A Response to Krahmer et al. - Kees van Deemter; Albert Gatt; Ielka van der Sluis; Richard Power (Cogn. Sci., 2012)

Computational Generation of Referring Expressions: A Survey. - Emiel Krahmer; Kees van Deemter (Comput. Linguistics, 2012)

Toward a Computational Psycholinguistics of Reference Production. - Kees van Deemter; Albert Gatt; Roger P. G. van Gompel; Emiel Krahmer (Top. Cogn. Sci., 2012)

Managing Ambiguity in Reference Generation: The Role of Surface Structure. - Imtiaz Hussain Khan; Kees van Deemter; Graeme Ritchie (Top. Cogn. Sci., 2012)

The Two Cultures of Logic. - Kees van Deemter (On Fuzziness (2), 2013)

Workshop Proposal: PRE-CogSci 2013: Bridging the gap between cognitive and computational approaches to reference. - Albert Gatt; Roger P. G. van Gompel; Ellen Gurman Bard; Emiel Krahmer; Kees van Deemter (CogSci, 2013)

Production of referring expressions: Preference trumps discrimination. - Albert Gatt; Emiel Krahmer; Roger P. G. van Gompel; Kees van Deemter (CogSci, 2013)

Typicality and Object Reference. - Margaret Mitchell; Ehud Reiter; Kees van Deemter (CogSci, 2013)

Generation of Quantified Referring Expressions: Evidence from Experimental Data. - Dale Barr; Kees van Deemter; Raquel Fernández (ENLG, 2013)

Content Selection Challenge - University of Aberdeen Entry. - Roman Kutlák; Chris Mellish; Kees van Deemter (ENLG, 2013)

A Pilot Experiment in Knowledge Authoring as Dialogue. - Artemis Parvizi; Caroline Jay; Christopher S. Mellish; Jeff Z. Pan; Yuan Ren 001; Robert Stevens 001; Kees van Deemter (IWCS, 2013)

Generating Expressions that Refer to Visible Objects. - Margaret Mitchell; Kees van Deemter; Ehud Reiter (HLT-NAACL, 2013)

Personalizing Triggers for Charity Actions. - Judith Masthoff; Sitwat Langrial; Kees van Deemter (PERSUASIVE, 2013)

Referability. - Kees van Deemter (Natural Language Generation in Interactive Systems, 2014)

Towards Competency Question-Driven Ontology Authoring. - Yuan Ren 001; Artemis Parvizi; Chris Mellish; Jeff Z. Pan; Kees van Deemter; Robert Stevens 001 (ESWC, 2014)

Selecting Ontology Entailments for Presentation to Users. - Artemis Parvizi; Chris Mellish; Kees van Deemter; Yuan Ren 001; Jeff Z. Pan (KEOD, 2014)

Adaptive Visualization of Plans. - Nava Tintarev; Roman Kutlák; Judith Masthoff; Kees van Deemter; Nir Oren; Wamberto Weber Vasconcelos (UMAP Workshops, 2014)

Viewing time affects overspecification: Evidence for two strategies of attribute selection during reference production. - Ruud Koolen; Albert Gatt; Roger P. G. van Gompel; Emiel Krahmer; Kees van Deemter (CogSci, 2016)

Natural language generation and fuzzy sets: An exploratory study on geographical referring expression generation. - Alejandro Ramos-Soto; Nava Tintarev; Rodrigo de Oliveira; Ehud Reiter; Kees van Deemter (FUZZ-IEEE, 2016)

Designing Algorithms for Referring with Proper Names. - Kees van Deemter (INLG, 2016)

Statistics-Based Lexical Choice for NLG from Quantitative Information. - Xiao Li; Kees van Deemter; Chenghua Lin (INLG, 2016)

An exploratory study on the benefits of using natural language for explaining fuzzy rule-based systems. - José Maria Alonso; Alejandro Ramos-Soto; Ehud Reiter; Kees van Deemter (FUZZ-IEEE, 2017)

An empirical approach for modeling fuzzy geographical descriptors. - Alejandro Ramos-Soto; José Maria Alonso; Ehud Reiter; Kees van Deemter; Albert Gatt (FUZZ-IEEE, 2017)

Investigating the content and form of referring expressions in Mandarin: introducing the Mtuna corpus. - Kees van Deemter; Le Sun 001; Rint Sybesma; Xiao Li; Chen Bo; Muyun Yang (INLG, 2017)

Computing Authoring Tests from Competency Questions: Experimental Validation. - Matt Dennis; Kees van Deemter; Daniele Dell'Aglio; Jeff Z. Pan (ISWC (1), 2017)

SimpleNLG-ZH: a Linguistic Realisation Engine for Mandarin. - Guanyi Chen; Kees van Deemter; Chenghua Lin (INLG, 2018)

Modelling Pro-drop with the Rational Speech Acts Model. - Guanyi Chen; Kees van Deemter; Chenghua Lin (INLG, 2018)

Generating Summaries of Sets of Consumer Products: Learning from Experiments. - Kittipitch Kuptavanich; Ehud Reiter; Kees van Deemter; Advaith Siddharthan (INLG, 2018)

Statistical NLG for Generating the Content and Form of Referring Expressions. - Xiao Li; Kees van Deemter; Chenghua Lin (INLG, 2018)

Meteorologists and Students: A resource for language grounding of geographical descriptors. - Alejandro Ramos-Soto; Ehud Reiter; Kees van Deemter; José Maria Alonso; Albert Gatt (INLG, 2018)

Generating Quantified Descriptions of Abstract Visual Scenes. - Guanyi Chen; Kees van Deemter; Chenghua Lin (INLG, 2019)

QTUNA: A Corpus for Understanding How Speakers Use Quantification. - Guanyi Chen; Kees van Deemter; Silvia Pagliaro; Louk Smalbil; Chenghua Lin (INLG, 2019)

Choosing between Long and Short Word Forms in Mandarin. - Lin Li; Kees van Deemter; Denis Paperno; Jingyu Fan (INLG, 2019)

What do you mean, BERT? Assessing BERT as a Distributional Semantics Model. - Timothee Mickus; Denis Paperno; Mathieu Constant; Kees van Deemter (CoRR, 2019)

Fuzzy-Based Language Grounding of Geographical References: From Writers to Readers. - Alejandro Ramos-Soto; José Maria Alonso; Ehud Reiter; Kees van Deemter; Albert Gatt (Int. J. Comput. Intell. Syst., 2019)

Argument-Based Plan Explanation. - Nir Oren; Kees van Deemter; Wamberto Weber Vasconcelos (Knowledge Engineering Tools and Techniques for AI Planning, 2020)

Chinese Long and Short Form Choice Exploiting Neural Network Language Modeling Approaches. - Lin Li; Kees van Deemter; Denis Paperno (CNCL, 2020)

A Linguistic Perspective on Reference: Choosing a Feature Set for Generating Referring Expressions in Context. - Fahime Same; Kees van Deemter (COLING, 2020)

The Care2Report System: Automated Medical Reporting as an Integrated Solution to Reduce Administrative Burden in Healthcare. - Lientje Maas; Mathan Geurtsen; Florian Nouwt; Stefan F. Schouten; Robin Van De Water; Sandra van Dulmen; Fabiano Dalpiaz; Kees van Deemter; Sjaak Brinkkemper (HICSS, 2020)

Lessons from Computational Modelling of Reference Production in Mandarin and English. - Guanyi Chen; Kees van Deemter (INLG, 2020)

Gradations of Error Severity in Automatic Image Descriptions. - Emiel van Miltenburg; Wei-Ting Lu; Emiel Krahmer; Albert Gatt; Guanyi Chen; Lin Li; Kees van Deemter (INLG, 2020)

Towards Generating Effective Explanations of Logical Formulas: Challenges and Strategies. - Alexandra Mayn; Kees van Deemter (NL4XAI@INGL, 2020)

Interactive Natural Language Technology for Explainable Artificial Intelligence. - José Maria Alonso; Senén Barro; Alberto Bugarín; Kees van Deemter; Claire Gardent; Albert Gatt; Ehud Reiter; Carles Sierra; Mariët Theune; Nava Tintarev; Hitoshi Yano; Katarzyna Budzynska (TAILOR, 2020)

A Text Reassembling Approach to Natural Language Generation. - Xiao Li; Kees van Deemter; Chenghua Lin (CoRR, 2020)

What can Neural Referential Form Selectors Learn? - Guanyi Chen; Fahime Same; Kees van Deemter (INLG, 2021)

Using BERT for choosing classifiers in Mandarin. - Jani Järnfors; Guanyi Chen; Kees van Deemter; Rint Sybesma (INLG, 2021)

What Vision-Language Models 'See' when they See Scenes. - Michele Cafagna; Kees van Deemter; Albert Gatt (CoRR, 2021)

Non-neural Models Matter: a Re-evaluation of Neural Referring Expression Generation Systems. - Fahime Same; Guanyi Chen; Kees van Deemter (ACL (1), 2022)

Assessing Neural Referential Form Selectors on a Realistic Multilingual Dataset. - Guanyi Chen; Fahime Same; Kees van Deemter (Eval4NLP, 2022)

Understanding the Use of Quantifiers in Mandarin. - Guanyi Chen; Kees van Deemter (AACL/IJCNLP (Findings), 2022)

Semeval-2022 Task 1: CODWOE - Comparing Dictionaries and Word Embeddings. - Timothee Mickus; Kees van Deemter; Mathieu Constant; Denis Paperno (SemEval@NAACL, 2022)

Evaluating Automatic Difficulty Estimation of Logic Formalization Exercises. - Alexandra Mayn; Kees van Deemter (CoRR, 2022)

The Role of Explanatory Value in Natural Language Processing. - Kees van Deemter (CoRR, 2022)

Understanding Cross-modal Interactions in V&L Models that Generate Scene Descriptions. - Michele Cafagna; Kees van Deemter; Albert Gatt (CoRR, 2022)

HL Dataset: Visually-grounded Description of Scenes, Actions and Rationales. - Michele Cafagna; Kees van Deemter; Albert Gatt (INLG, 2023)

Models of reference production: How do they withstand the test of time? - Fahime Same; Guanyi Chen; Kees van Deemter (INLG, 2023)

Is Shortest Always Best? The Role of Brevity in Logic-to-Text Generation. - Eduardo Calò; Jordi Levy; Albert Gatt; Kees van Deemter (*SEM@ACL, 2023)

HL Dataset: Grounding High-Level Linguistic Concepts in Vision. - Michele Cafagna; Kees van Deemter; Albert Gatt (CoRR, 2023)

Missing Information, Unresponsive Authors, Experimental Flaws: The Impossibility of Assessing the Reproducibility of Previous Human Evaluations in NLP. - Anya Belz; Craig Thomson; Ehud Reiter; Gavin Abercrombie; Jose Maria Alonso-Moral; Mohammad Arvan; Jackie Chi Kit Cheung; Mark Cieliebak; Elizabeth Clark; Kees van Deemter; Tanvi Dinkar; Ondrej Dusek; et al. (CoRR, 2023)

Does ChatGPT have Theory of Mind? - Bart Holterman; Kees van Deemter (CoRR, 2023)

Computational Modelling of Quantifier Use: Corpus, Models, and Evaluation. - Guanyi Chen; Kees van Deemter (J. Artif. Intell. Res., 2023)

Interpreting vision and language generative models with semantic visual priors. - Michele Cafagna; Lina Maria Rojas-Barahona; Kees van Deemter; Albert Gatt (Frontiers Artif. Intell., 2023)

Neural referential form selection: Generalisability and interpretability. - Guanyi Chen; Fahime Same; Kees van Deemter (Comput. Speech Lang., 2023)

Dimensions of Explanatory Value in NLP Models. - Kees van Deemter (Comput. Linguistics, 2023)

Intrinsic Task-based Evaluation for Referring Expression Generation. - Guanyi Chen; Fahime Same; Kees van Deemter (ACL (1), 2024)

Computational Modelling of Plurality and Definiteness in Chinese Noun Phrases. - Yuqi Liu; Guanyi Chen; Kees van Deemter (LREC/COLING, 2024)

The Pitfalls of Defining Hallucination. - Kees van Deemter (Comput. Linguistics, 2024)

Textual Summarisation of Large Sets: Towards a General Approach. - Kittipitch Kuptavanich; Ehud Reiter; Kees van Deemter; Advaith Siddharthan (CoRR, 2024)

Human-annotated rationales and explainable text classification: a survey. - Elize Herrewijnen; Dong Nguyen 002; Floris Bex; Kees van Deemter (Frontiers Artif. Intell., 2024)

Reference-free Evaluation Metrics for Text Generation: A Survey. - Takumi Ito; Kees van Deemter; Jun Suzuki 001 (CoRR, 2025)

My Life in Artificial Intelligence: People, anecdotes, and some lessons learnt. - Kees van Deemter (CoRR, 2025)