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2020 – today
- 2024
[j28]Elize Herrewijnen, Dong Nguyen, Floris Bex, Kees van Deemter:
Human-annotated rationales and explainable text classification: a survey. Frontiers Artif. Intell. 7 (2024)- [c83]Guanyi Chen, Fahime Same, Kees van Deemter:
Intrinsic Task-based Evaluation for Referring Expression Generation. ACL (1) 2024: 7220-7231 - [c82]Yuqi Liu, Guanyi Chen, Kees van Deemter:
Computational Modelling of Plurality and Definiteness in Chinese Noun Phrases. LREC/COLING 2024: 3666-3676 - [i25]Kees van Deemter:
The Pitfalls of Defining Hallucination. CoRR abs/2401.07897 (2024) - [i24]Kittipitch Kuptavanich, Ehud Reiter, Kees van Deemter, Advaith Siddharthan:
Textual Summarisation of Large Sets: Towards a General Approach. CoRR abs/2401.09041 (2024) - [i23]Guanyi Chen, Fahime Same, Kees van Deemter:
Intrinsic Task-based Evaluation for Referring Expression Generation. CoRR abs/2402.07432 (2024) - [i22]Yuqi Liu, Guanyi Chen, Kees van Deemter:
Computational Modelling of Plurality and Definiteness in Chinese Noun Phrases. CoRR abs/2403.04376 (2024) - 2023
- [j27]Kees van Deemter:
Dimensions of Explanatory Value in NLP Models. Comput. Linguistics 49(3): 749-761 (2023) - [j26]Guanyi Chen
, Fahime Same, Kees van Deemter:
Neural referential form selection: Generalisability and interpretability. Comput. Speech Lang. 79: 101466 (2023) - [j25]Michele Cafagna, Lina Maria Rojas-Barahona, Kees van Deemter, Albert Gatt:
Interpreting vision and language generative models with semantic visual priors. Frontiers Artif. Intell. 6 (2023) - [j24]Guanyi Chen, Kees van Deemter:
Computational Modelling of Quantifier Use: Corpus, Models, and Evaluation. J. Artif. Intell. Res. 77: 167-206 (2023) - [c81]Fahime Same, Guanyi Chen, Kees van Deemter:
Models of reference production: How do they withstand the test of time? INLG 2023: 93-105 - [c80]Michele Cafagna, Kees van Deemter, Albert Gatt:
HL Dataset: Visually-grounded Description of Scenes, Actions and Rationales. INLG 2023: 293-312 - [c79]Eduardo Calò, Jordi Levy, Albert Gatt, Kees van Deemter:
Is Shortest Always Best? The Role of Brevity in Logic-to-Text Generation. *SEM@ACL 2023: 180-192 - [i21]Michele Cafagna, Kees van Deemter, Albert Gatt:
HL Dataset: Grounding High-Level Linguistic Concepts in Vision. CoRR abs/2302.12189 (2023) - [i20]Michele Cafagna, Lina Maria Rojas-Barahona, Kees van Deemter, Albert Gatt:
Interpreting Vision and Language Generative Models with Semantic Visual Priors. CoRR abs/2304.14986 (2023) - [i19]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, Steffen Eger, Qixiang Fang, Albert Gatt, Dimitra Gkatzia, Javier González-Corbelle, Dirk Hovy, Manuela Hürlimann, Takumi Ito, John D. Kelleher, Filip Klubicka, Huiyuan Lai, Chris van der Lee, Emiel van Miltenburg, Yiru Li, Saad Mahamood, Margot Mieskes, Malvina Nissim, Natalie Parde, Ondrej Plátek, Verena Rieser, Pablo Mosteiro Romero, Joel R. Tetreault, Antonio Toral, Xiaojun Wan, Leo Wanner, Lewis Watson, Diyi Yang:
Missing Information, Unresponsive Authors, Experimental Flaws: The Impossibility of Assessing the Reproducibility of Previous Human Evaluations in NLP. CoRR abs/2305.01633 (2023) - [i18]Bart Holterman, Kees van Deemter:
Does ChatGPT have Theory of Mind? CoRR abs/2305.14020 (2023) - [i17]Fahime Same, Guanyi Chen, Kees van Deemter:
Models of reference production: How do they withstand the test of time? CoRR abs/2307.14817 (2023) - 2022
- [c78]Fahime Same, Guanyi Chen, Kees van Deemter:
Non-neural Models Matter: a Re-evaluation of Neural Referring Expression Generation Systems. ACL (1) 2022: 5554-5567 - [c77]Guanyi Chen, Fahime Same, Kees van Deemter:
Assessing Neural Referential Form Selectors on a Realistic Multilingual Dataset. Eval4NLP 2022: 103-114 - [c76]Guanyi Chen, Kees van Deemter:
Understanding the Use of Quantifiers in Mandarin. AACL/IJCNLP (Findings) 2022: 73-80 - [c75]Timothee Mickus, Kees van Deemter, Mathieu Constant, Denis Paperno:
Semeval-2022 Task 1: CODWOE - Comparing Dictionaries and Word Embeddings. SemEval@NAACL 2022: 1-14 - [i16]Fahime Same, Guanyi Chen, Kees van Deemter:
Non-neural Models Matter: A Re-evaluation of Neural Referring Expression Generation Systems. CoRR abs/2203.08274 (2022) - [i15]Alexandra Mayn, Kees van Deemter:
Evaluating Automatic Difficulty Estimation of Logic Formalization Exercises. CoRR abs/2204.12197 (2022) - [i14]Timothee Mickus, Kees van Deemter, Mathieu Constant, Denis Paperno:
Semeval-2022 Task 1: CODWOE - Comparing Dictionaries and Word Embeddings. CoRR abs/2205.13858 (2022) - [i13]Kees van Deemter:
The Role of Explanatory Value in Natural Language Processing. CoRR abs/2209.06169 (2022) - [i12]Guanyi Chen, Kees van Deemter:
Understanding the Use of Quantifiers in Mandarin. CoRR abs/2209.11977 (2022) - [i11]Guanyi Chen, Fahime Same, Kees van Deemter:
Assessing Neural Referential Form Selectors on a Realistic Multilingual Dataset. CoRR abs/2210.04828 (2022) - [i10]Michele Cafagna, Kees van Deemter, Albert Gatt:
Understanding Cross-modal Interactions in V&L Models that Generate Scene Descriptions. CoRR abs/2211.04971 (2022) - 2021
- [c74]Guanyi Chen, Fahime Same, Kees van Deemter:
What can Neural Referential Form Selectors Learn? INLG 2021: 154-166 - [c73]Jani Järnfors, Guanyi Chen, Kees van Deemter, Rint Sybesma:
Using BERT for choosing classifiers in Mandarin. INLG 2021: 172-176 - [i9]Guanyi Chen, Fahime Same, Kees van Deemter:
What can Neural Referential Form Selectors Learn? CoRR abs/2108.06806 (2021) - [i8]Michele Cafagna, Kees van Deemter, Albert Gatt:
What Vision-Language Models 'See' when they See Scenes. CoRR abs/2109.07301 (2021) - 2020
- [c72]Lin Li, Kees van Deemter, Denis Paperno:
Chinese Long and Short Form Choice Exploiting Neural Network Language Modeling Approaches. CNCL 2020: 73-80 - [c71]Fahime Same, Kees van Deemter:
A Linguistic Perspective on Reference: Choosing a Feature Set for Generating Referring Expressions in Context. COLING 2020: 4575-4586 - [c70]Lientje Maas, Mathan Geurtsen, Florian Nouwt, Stefan F. Schouten, Robin Van De Water, Sandra van Dulmen, Fabiano Dalpiaz, Kees van Deemter, Sjaak Brinkkemper:
The Care2Report System: Automated Medical Reporting as an Integrated Solution to Reduce Administrative Burden in Healthcare. HICSS 2020: 1-10 - [c69]Guanyi Chen, Kees van Deemter:
Lessons from Computational Modelling of Reference Production in Mandarin and English. INLG 2020: 263-272 - [c68]Emiel van Miltenburg, Wei-Ting Lu, Emiel Krahmer, Albert Gatt, Guanyi Chen, Lin Li, Kees van Deemter:
Gradations of Error Severity in Automatic Image Descriptions. INLG 2020: 398-411 - [c67]Alexandra Mayn, Kees van Deemter:
Towards Generating Effective Explanations of Logical Formulas: Challenges and Strategies. NL4XAI@INGL 2020: 39-43 - [c66]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:
Interactive Natural Language Technology for Explainable Artificial Intelligence. TAILOR 2020: 63-70 - [p2]Nir Oren, Kees van Deemter, Wamberto Weber Vasconcelos:
Argument-Based Plan Explanation. Knowledge Engineering Tools and Techniques for AI Planning 2020: 173-188 - [i7]Xiao Li, Kees van Deemter, Chenghua Lin:
A Text Reassembling Approach to Natural Language Generation. CoRR abs/2005.07988 (2020) - [i6]Guanyi Chen, Kees van Deemter:
Lessons from Computational Modelling of Reference Production in Mandarin and English. CoRR abs/2011.07398 (2020)
2010 – 2019
- 2019
- [j23]Alejandro Ramos-Soto, José Maria Alonso, Ehud Reiter, Kees van Deemter, Albert Gatt:
Fuzzy-Based Language Grounding of Geographical References: From Writers to Readers. Int. J. Comput. Intell. Syst. 12(2): 970-983 (2019) - [c65]Lin Li, Kees van Deemter, Denis Paperno, Jingyu Fan:
Choosing between Long and Short Word Forms in Mandarin. INLG 2019: 34-39 - [c64]Guanyi Chen, Kees van Deemter, Silvia Pagliaro, Louk Smalbil, Chenghua Lin:
QTUNA: A Corpus for Understanding How Speakers Use Quantification. INLG 2019: 124-129 - [c63]Guanyi Chen, Kees van Deemter, Chenghua Lin:
Generating Quantified Descriptions of Abstract Visual Scenes. INLG 2019: 529-539 - [e1]Kees van Deemter, Chenghua Lin, Hiroya Takamura:
Proceedings of the 12th International Conference on Natural Language Generation, INLG 2019, Tokyo, Japan, October 29 - November 1, 2019. Association for Computational Linguistics 2019, ISBN 978-1-950737-94-9 [contents] - [i5]Timothee Mickus, Denis Paperno, Mathieu Constant, Kees van Deemter:
What do you mean, BERT? Assessing BERT as a Distributional Semantics Model. CoRR abs/1911.05758 (2019) - 2018
- [c62]Guanyi Chen, Kees van Deemter, Chenghua Lin:
SimpleNLG-ZH: a Linguistic Realisation Engine for Mandarin. INLG 2018: 57-66 - [c61]Guanyi Chen, Kees van Deemter, Chenghua Lin:
Modelling Pro-drop with the Rational Speech Acts Model. INLG 2018: 159-164 - [c60]Kittipitch Kuptavanich, Ehud Reiter, Kees van Deemter, Advaith Siddharthan:
Generating Summaries of Sets of Consumer Products: Learning from Experiments. INLG 2018: 403-407 - [c59]Alejandro Ramos-Soto, Ehud Reiter, Kees van Deemter, José Maria Alonso, Albert Gatt:
Meteorologists and Students: A resource for language grounding of geographical descriptors. INLG 2018: 421-425 - [c58]Xiao Li, Kees van Deemter, Chenghua Lin:
Statistical NLG for Generating the Content and Form of Referring Expressions. INLG 2018: 482-491 - [i4]Alejandro Ramos-Soto, Ehud Reiter, Kees van Deemter, José Maria Alonso, Albert Gatt:
Meteorologists and Students: A resource for language grounding of geographical descriptors. CoRR abs/1809.02494 (2018) - 2017
- [c57]José Maria Alonso, Alejandro Ramos-Soto, Ehud Reiter, Kees van Deemter:
An exploratory study on the benefits of using natural language for explaining fuzzy rule-based systems. FUZZ-IEEE 2017: 1-6 - [c56]Alejandro Ramos-Soto, José Maria Alonso, Ehud Reiter, Kees van Deemter, Albert Gatt:
An empirical approach for modeling fuzzy geographical descriptors. FUZZ-IEEE 2017: 1-6 - [c55]Kees van Deemter, Le Sun, Rint Sybesma, Xiao Li, Chen Bo, Muyun Yang:
Investigating the content and form of referring expressions in Mandarin: introducing the Mtuna corpus. INLG 2017: 213-217 - [c54]Matt Dennis, Kees van Deemter, Daniele Dell'Aglio, Jeff Z. Pan:
Computing Authoring Tests from Competency Questions: Experimental Validation. ISWC (1) 2017: 243-259 - [i3]Alejandro Ramos-Soto, José Maria Alonso, Ehud Reiter, Kees van Deemter, Albert Gatt:
An Empirical Approach for Modeling Fuzzy Geographical Descriptors. CoRR abs/1703.10429 (2017) - 2016
- [c53]Ruud Koolen, Albert Gatt, Roger P. G. van Gompel, Emiel Krahmer, Kees van Deemter:
Viewing time affects overspecification: Evidence for two strategies of attribute selection during reference production. CogSci 2016 - [c52]Alejandro Ramos-Soto, Nava Tintarev, Rodrigo de Oliveira, Ehud Reiter, Kees van Deemter:
Natural language generation and fuzzy sets: An exploratory study on geographical referring expression generation. FUZZ-IEEE 2016: 587-594 - [c51]Kees van Deemter:
Designing Algorithms for Referring with Proper Names. INLG 2016: 31-35 - [c50]Xiao Li, Kees van Deemter, Chenghua Lin:
Statistics-Based Lexical Choice for NLG from Quantitative Information. INLG 2016: 104-108 - 2014
- [c49]Yuan Ren, Artemis Parvizi, Chris Mellish, Jeff Z. Pan, Kees van Deemter, Robert Stevens:
Towards Competency Question-Driven Ontology Authoring. ESWC 2014: 752-767 - [c48]Artemis Parvizi, Chris Mellish, Kees van Deemter, Yuan Ren, Jeff Z. Pan:
Selecting Ontology Entailments for Presentation to Users. KEOD 2014: 382-387 - [c47]Nava Tintarev, Roman Kutlák, Judith Masthoff, Kees van Deemter, Nir Oren, Wamberto Weber Vasconcelos:
Adaptive Visualization of Plans. UMAP Workshops 2014 - [p1]Kees van Deemter:
Referability. Natural Language Generation in Interactive Systems 2014: 95-125 - 2013
- [c46]Kees van Deemter:
The Two Cultures of Logic. On Fuzziness (2) 2013: 719-724 - [c45]Albert Gatt, Roger P. G. van Gompel, Ellen Gurman Bard, Emiel Krahmer, Kees van Deemter:
Workshop Proposal: PRE-CogSci 2013: Bridging the gap between cognitive and computational approaches to reference. CogSci 2013 - [c44]Albert Gatt, Emiel Krahmer, Roger P. G. van Gompel, Kees van Deemter:
Production of referring expressions: Preference trumps discrimination. CogSci 2013 - [c43]Margaret Mitchell, Ehud Reiter, Kees van Deemter:
Typicality and Object Reference. CogSci 2013 - [c42]Dale Barr, Kees van Deemter, Raquel Fernández:
Generation of Quantified Referring Expressions: Evidence from Experimental Data. ENLG 2013: 157-161 - [c41]Roman Kutlák, Chris Mellish, Kees van Deemter:
Content Selection Challenge - University of Aberdeen Entry. ENLG 2013: 208-209 - [c40]Artemis Parvizi, Caroline Jay, Christopher S. Mellish, Jeff Z. Pan, Yuan Ren, Robert Stevens, Kees van Deemter:
A Pilot Experiment in Knowledge Authoring as Dialogue. IWCS 2013: 376-382 - [c39]Margaret Mitchell, Kees van Deemter, Ehud Reiter:
Generating Expressions that Refer to Visible Objects. HLT-NAACL 2013: 1174-1184 - [c38]Judith Masthoff, Sitwat Langrial, Kees van Deemter:
Personalizing Triggers for Charity Actions. PERSUASIVE 2013: 125-136 - 2012
- [j22]Kees van Deemter, Albert Gatt, Ielka van der Sluis, Richard Power:
Generation of Referring Expressions: Assessing the Incremental Algorithm. Cogn. Sci. 36(5): 799-836 (2012) - [j21]Kees van Deemter, Albert Gatt, Ielka van der Sluis, Richard Power:
Assessing the Incremental Algorithm: A Response to Krahmer et al. Cogn. Sci. 36(5): 842-845 (2012) - [j20]Emiel Krahmer, Kees van Deemter:
Computational Generation of Referring Expressions: A Survey. Comput. Linguistics 38(1): 173-218 (2012) - [j19]Kees van Deemter, Albert Gatt, Roger P. G. van Gompel, Emiel Krahmer:
Toward a Computational Psycholinguistics of Reference Production. Top. Cogn. Sci. 4(2): 166-183 (2012) - [j18]Imtiaz Hussain Khan, Kees van Deemter, Graeme Ritchie:
Managing Ambiguity in Reference Generation: The Role of Surface Structure. Top. Cogn. Sci. 4(2): 211-231 (2012) - [c37]Albert Gatt, Roger P. G. van Gompel, Emiel Krahmer, Kees van Deemter:
Does domain size impact speech onset time during reference production? CogSci 2012 - [c36]Roman Kutlák, Kees van Deemter, Chris Mellish:
Corpus-based metrics for assessing communal common ground. CogSci 2012 - [c35]Advaith Siddharthan, Matthew Green, Kees van Deemter, Chris Mellish, René van der Wal:
Blogging birds: Generating narratives about reintroduced species to promote public engagement. INLG 2012: 120-124 - 2011
- [c34]Kees van Deemter, Albert Gatt, Roger P. G. van Gompel, Emiel Krahmer:
PRE-CogSci 2011 - Bridging the gap between computational, empirical and theoretical approaches to reference. CogSci 2011 - [c33]Roman Kutlák, Kees van Deemter, Chris Mellish:
Audience Design in the Generation of References to Famous People. CogSci 2011 - [c32]Margaret Mitchell, Kees van Deemter, Ehud Reiter:
On the Use of Size Modifiers When Referring to Visible Objects. CogSci 2011 - [c31]Margaret Mitchell, Kees van Deemter, Ehud Reiter:
Two Approaches for Generating Size Modifiers. ENLG 2011: 63-70 - [c30]Bob Duncan, Kees van Deemter:
Direction giving: an attempt to increase user engagement. ENLG 2011: 280-283 - 2010
- [c29]Yuan Ren, Kees van Deemter, Jeff Z. Pan:
Generating Referring Expressions with OWL2. Description Logics 2010 - [c28]Margaret Mitchell, Kees van Deemter, Ehud Reiter:
Natural Reference to Objects in a Visual Domain. INLG 2010 - [c27]Yuan Ren, Kees van Deemter, Jeff Z. Pan:
Charting the Potential of Description Logic for the Generation of Referring Expressions. INLG 2010
2000 – 2009
- 2009
- [j17]Kees van Deemter:
Utility and Language Generation: The Case of Vagueness. J. Philos. Log. 38(6): 607-632 (2009) - [c26]Kees van Deemter:
Vagueness Facilitates Search. Amsterdam Colloquium on Logic, Language and Meaning 2009: 173-182 - [c25]Imtiaz Hussain Khan, Kees van Deemter, Graeme Ritchie, Albert Gatt, Alexandra A. Cleland:
A Hearer-Oriented Evaluation of Referring Expression Generation. ENLG 2009: 98-101 - [c24]Kees van Deemter:
What Game Theory Can Do for NLG: The Case of Vague Language (Invited Talk). ENLG 2009: 154-161 - 2008
- [j16]Kees van Deemter, Brigitte Krenn, Paul Piwek, Martin Klesen, Marc Schröder, Stefan Baumann:
Fully generated scripted dialogue for embodied agents. Artif. Intell. 172(10): 1219-1244 (2008) - [c23]Imtiaz Hussain Khan, Kees van Deemter, Graeme Ritchie:
Generation of Referring Expressions: Managing Structural Ambiguities. COLING 2008: 433-440 - 2007
- [j15]Ivandré Paraboni, Kees van Deemter, Judith Masthoff:
Generating Referring Expressions: Making Referents Easy to Identify. Comput. Linguistics 33(2): 229-254 (2007) - [j14]Albert Gatt, Kees van Deemter:
Lexical Choice and Conceptual Perspective in the Generation of Plural Referring Expressions. J. Log. Lang. Inf. 16(4): 423-443 (2007) - [c22]Albert Gatt, Kees van Deemter:
Incremental Generation of Plural Descriptions: Similarity and Partitioning. EMNLP-CoNLL 2007: 102-111 - [c21]Albert Gatt, Ielka van der Sluis, Kees van Deemter:
Evaluating algorithms for the Generation of Referring Expressions using a balanced corpus. ENLG 2007 - [c20]Madalina Croitoru, Kees van Deemter:
An Inferential Approach to the Generation of Referring Expressions. ICCS 2007: 126-139 - [c19]Madalina Croitoru, Kees van Deemter:
A Conceptual Graph Approach for the Generation of Referring Expressions. IJCAI 2007: 2456-2461 - 2006
- [j13]Kees van Deemter:
Generating Referring Expressions that Involve Gradable Properties. Comput. Linguistics 32(2): 195-222 (2006) - [c18]Albert Gatt, Kees van Deemter:
Conceptual Coherence in the Generation of Referring Expressions. ACL 2006 - [c17]Ivandré Paraboni, Kees van Deemter:
Referring Via Document Parts. CICLing 2006: 299-310 - [c16]Ivandré Paraboni, Judith Masthoff, Kees van Deemter:
Overspecified Reference in Hierarchical Domains: Measuring the Benefits for Readers. INLG 2006: 55-62 - [c15]Imtiaz Hussain Khan, Graeme Ritchie, Kees van Deemter:
The Clarity-Brevity Trade-off in Generating Referring Expressions. INLG 2006: 89-91 - [c14]Kees van Deemter, Ielka van der Sluis, Albert Gatt:
Building a Semantically Transparent Corpus for the Generation of Referring Expressions. INLG 2006: 130-132 - 2005
- [j12]Kees van Deemter, Mariët Theune, Emiel Krahmer:
Real versus Template-Based Natural Language Generation: A False Opposition? Comput. Linguistics 31(1): 15-24 (2005) - 2004
- [j11]Kees van Deemter:
Towards a Probabilistic Version of Bidirectional OT Syntax and Semantics. J. Semant. 21(3): 251-280 (2004) - [c13]Kees van Deemter:
Finetuning NLG Through Experiments with Human Subjects: The Case of Vague Descriptions. INLG 2004: 31-40 - 2003
- [j10]Kees van Deemter, Richard Power:
High-level authoring of illustrated documents. Nat. Lang. Eng. 9(2): 101-126 (2003) - [i2]Paul Piwek, Kees van Deemter:
Towards Automated Generation of Scripted Dialogue: Some Time-Honoured Strategies. CoRR cs.CL/0312051 (2003) - [i1]Paul Piwek, Kees van Deemter:
Dialogue as Discourse: Controlling Global Properties of Scripted Dialogue. CoRR cs.CL/0312052 (2003) - 2002
- [b1]Kees van Deemter, Rodger Kibble:
Information sharing - reference and presupposition in language generation and interpretation. CSLI lecture notes series 143, CSLI Publications 2002, ISBN 978-1-57586-404-4, pp. I-XIII, 1-415 - [j9]Kees van Deemter:
Generating Referring Expressions: Boolean Extensions of the Incremental Algorithm. Comput. Linguistics 28(1): 37-52 (2002) - [c12]Ivandré Paraboni, Kees van Deemter:
Generating Easy References: the Case of Document Deixis. INLG 2002: 113-119 - 2001
- [c11]Lynne J. Cahill, John Carroll, Roger Evans, Daniel S. Paiva, Richard Power, Donia Scott, Kees van Deemter:
From RAGS to RICHES: Exploiting the Potential of a Flexible Generation Architecture. ACL 2001: 98-105 - [c10]Kees van Deemter, Magnús M. Halldórsson:
Logical Form Equivalence: the Case of Referring Expressions Generation. EWNLG@ACL 2001 - 2000
- [j8]Kees van Deemter, Rodger Kibble:
On Coreferring: Coreference in MUC and Related Annotation Schemes. Comput. Linguistics 26(4): 629-637 (2000) - [c9]Kees van Deemter, Richard Power:
Authoring Multimedia Documents using WYSIWYM Editing. COLING 2000: 222-228 - [c8]Kees van Deemter:
Generating Vague Descriptions. INLG 2000: 179-185 - [c7]Rodger Kibble, Kees van Deemter:
Coreference Annotation: Whither? LREC 2000
1990 – 1999
- 1999
- [c6]Kees van Deemter, Rodger Kibble:
What is coreference, and what should coreference annotation be? COREF@ACL 1999 - [c5]Kees van Deemter, Richard Power:
Inclusion of Picture Sequences in Generated Documents. EPIA 1999: 99-112 - [c4]Kees van Deemter:
Document Generation and Picture Retrieval. VISUAL 1999: 632-640 - 1998
- [j7]Kees van Deemter:
A blackboard model of accenting. Comput. Speech Lang. 12(3): 143-164 (1998) - [j6]Kees van Deemter:
Ambiguity and Idiosyncratic Interpretation. J. Semant. 15(1): 5-36 (1998) - [j5]Emiel Krahmer, Kees van Deemter:
On the Interpretation of Anaphoric Noun Phrases: Towards a Full Understanding of Partial Matches. J. Semant. 15(4): 355-392 (1998) - 1997
- [j4]Kees van Deemter, Jan Odijk:
Context modeling and the generation of spoken discourse. Speech Commun. 21(1-2): 101-121 (1997) - [c3]Kees van Deemter:
Context Modeling for Language and Speech Generation. Real Applications@ACL/EACL 1997 - 1994
- [j3]Kees van Deemter:
What's New? A Semantic Perspective on Sentence Accent. J. Semant. 11(1-2): 1-32 (1994) - 1992
- [j2]Kees van Deemter:
Towards a Generalization of Anaphora. J. Semant. 9(1): 27-51 (1992) - [c2]John de Vet, Kees van Deemter, Hans Kemp, Jack Gerrissen:
A self-promoting and explanatory audio control panel. CHI Posters and Short Talks 1992: 9 - 1990
- [j1]Kees van Deemter:
Forward References in Natural Language. J. Semant. 7(3): 281-300 (1990) - [c1]Kees van Deemter:
Structured Meanings in Computational Linguistics. COLING 1990: 85-89
Coauthor Index
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