### Improving BERT Pretraining with Syntactic Supervision

Tziafas, G. and Kogkalidis, K. and Wijnholds, G. and Moortgat, M. (2021). "Improving BERT Pretraining with Syntactic Supervision." *ArXiV preprint*.

- PhD in Compositional Distributional Semantics, Queen Mary University of London, 2016-present
- MSc. in Logic. Institute for Logic, Language and Computation, University of Amsterdam, 2011-2014 (
*cum laude*) - BSc. in Artificial Intelligence. Utrecht University, 2009-2011 (
*cum laude*) - BSc. in Liberal Arts & Sciences. Utrecht University, 2008-2010 (unfinished)

### Improving BERT Pretraining with Syntactic Supervision

Tziafas, G. and Kogkalidis, K. and Wijnholds, G. and Moortgat, M. (2021). "Improving BERT Pretraining with Syntactic Supervision."

*ArXiV preprint*.### SICK-NL: A Dataset for Dutch Natural Language Inference

Wijnholds, G. and Moortgat, M. (2021). "SICK-NL: A Dataset for Dutch Natural Language Inference."

*Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics*.### Fuzzy Generalised Quantifiers for Natural Language in Categorical Compositional Distributional Semantics

Dostal, M. and Sadrzadeh, M. and Wijnholds, G. (2020). "Fuzzy Generalised Quantifiers for Natural Language in Categorical Compositional Distributional Semantics."

*Mathematics, Logic, and Their Philosophies: Essays in Honour of Mohammad Ardeshir, Logic, Epistemology, and the Unity of Science*.### Incremental Composition in Distributional Semantics

Purver, M. and Sadrzadeh, M. and Kempson, R. and Wijnholds, G. and Hough, J. (2021). "Incremental Composition in Distributional Semantics." To appear in

*Journal of Logic, Language and Information*.### Representation Learning for Type-Driven Composition

Wijnholds, G., and Sadrzadeh, M. and Clark, S. (2020). "Representation Learning for Type-Driven Composition."

*Proceedings of the 24th Conference on Computational Natural Language Learning*.### A Compositional Vector Space Model of Ellipsis and Anaphora

Wijnholds, G. (2020). "A Compositional Vector Space Model of Ellipsis and Anaphora."

*PhD Dissertation, Queen Mary University of London*.### A toy distributional model for fuzzy generalised quantifiers

Sadrzadeh, M. and Wijnholds, G. (2020). "A toy distributional model for fuzzy generalised quantifiers."

*Proceedings of the Probability and Meaning Conference (PaM)*.### A Frobenius Algebraic Analysis for Parasitic Gaps

Moortgat, M., and Sadrzadeh, M. and Wijnholds, G. (2019). "A Frobenius Algebraic Analysis for Parasitic Gaps."

*IfCoLog Journal of Applied Logics*.### Categorical Vector Space Semantics for Lambek Calculus with a Relevant Modality

McPheat, L. and Sadrzadeh, M. and Wazni, H. and Wijnholds, G. (2020). "Categorical Vector Space Semantics for Lambek Calculus with a Relevant Modality."

*ArXiV preprint*.### Incremental Semantic Judgments

Purver, M, and Sadrzadeh, M, and Wijnholds, G, and Kempson, R, and Hough, J. "Incremental Semantic Judgments."

*Third Dynamic Syntax Conference. 2019*.### A Type-Driven Vector Semantics for Ellipsis with Anaphora using Lambek Calculus with Limited Contraction

Wijnholds, G. and Sadrzadeh, M. (2019). "A Type-Driven Vector Semantics for Ellipsis with Anaphora using Lambek Calculus with Limited Contraction."

*Journal of Logic, Language and Information, 2019*.### Evaluating Composition Models for Verb Phrase Elliptical Sentence Embeddings

Wijnholds, G. and Sadrzadeh, M. (2019). "Evaluating Composition Models for Verb Phrase Elliptical Sentence Embeddings."

*NAACL-HLT 2019 (Long)*.### A Proof-Theoretic Approach to Scope Ambiguity in Compositional Vector Space Models

Wijnholds, G. "A Proof-Theoretic Approach to Scope Ambiguity in Compositional Vector Space Models."

*Journal of Language Modelling, Vol 6, No 2*.### Classical Copying versus Quantum Entanglement in Natural Language: The Case of VP-ellipsis

Wijnholds, G. and Sadrzadeh, M. (2018). "Classical Copying versus Quantum Entanglement in Natural Language: The Case of VP-ellipsis."

*CAPNS 2018 proceedings*.### Lexical and Derivational Meaning in Vector-Based Models of Relativisation

Moortgat, M. and Wijnholds, G. (2017). "Lexical and Derivational Meaning in Vector-Based Models of Relativisation."

*Proceedings of the 21st Amsterdam Colloquium*.### Coherent Diagrammatic Reasoning in Compositional Distributional Semantics

Wijnholds, G. J. (2017). "Coherent Diagrammatic Reasoning in Compositional Distributional Semantics."

*WoLLIC 2017, Lecture Notes in Computer Science*. 10388.### Vector Semantics for Lambek Calculus with Contraction

Wijnholds, G, and Sadrzadeh, M. "Vector Semantics for Lambek Calculus with Contraction."

*Workshop on Logic and Algorithms in Computational Linguistics 2017 (LACompLing2017). 2017*.### Syntactic control for compositional vector space models

Moortgat, M. J., and Wijnholds, G. "Syntactic control for compositional vector space models."

*Topology, Algebra, and Categories in Logic 2015 (2015): 204-206*.### Conversions between D and MCFG: Logical Characterizations of the Mildly Context-Sensitive Languages

Wijnholds, G. J. (2014). "Conversions between D and MCFG: Logical Characterizations of the Mildly Context-Sensitive Languages."

*Computational Linguistics in the Netherlands Journal*. 4.### Categorical Foundations for Extended Compositional Distributional Models of Meaning

Wijnholds, G. (2014). "Categorical Foundations for Extended Compositional Distributional Models of Meaning."

*MSc Thesis, Institute for Logic, Language, and Computation*.### Investigations into categorial grammar: Symmetric pregroup grammar and displacement calculus

Wijnholds, G. (2011). "Investigations into categorial grammar: Symmetric pregroup grammar and displacement calculus."

*BSc Thesis, Utrecht University*.

### SICK-NL: A Dataset for Dutch Natural Language Inference

Conference Presentation at EACL 2021, Online

### Representation Learning for Type-Driven Composition

Conference Presentation at CoNLL 2020, Online

### Type-Driven Composition of Word Embeddings in the age of BERT

Conference Presentation at CLIN 2020, Utrecht University

### Neural Tensor Embeddings

Guest Lecture at ESSLLI 2019, University of Latvia, Riga, Latvia

### Evaluating Composition Models for Verb Phrase Elliptical Sentence Embeddings

Workshop Presentation at SEMSPACE 2019, University of Latvia, Riga, Latvia

### Dependency Based Tensor Embeddings

Invited Talk at Workshop on Compositionality in formal and distributional models of natural language semantics, Utrecht, The Netherlands

### Evaluating Composition Models for Verb Phrase Elliptical Sentence Embeddings

Conference Presentation at NAACL-HLT 2019, Minneapolis, Minnesota, USA

### Evaluating Composition Models for Verb Phrase Elliptical Sentence Embeddings

Poster Presentation at Workshop on Vector Semantics for Dialogue and Discourse, Gothenburg, Sweden

### Incremental Semantic Judgments

Conference Presentation at Third Dynamic Syntax Conference, University of Malta, Malta

### Classical Copying versus Quantum Entanglement in Natural Language: the Case of VP-ellipsis

Workshop Presentation at Second Symposium on Compositional Structures, Strathclyde University, Glasgow, UK

### Classical Copying versus Quantum Entanglement in Natural Language: the Case of VP-ellipsis

Workshop Presentation at Compositional Approaches for Physics, NLP, and Social Sciences, Nice, France

### Lexical and Derivational Meaning in Vector-Based Models of Relativisation

Conference Presentation at 21st Amsterdam Colloquium, Amsterdam, The Netherlands

### Proof Nets and String Diagrams

Invited Talk at Leicester University, Leicester, UK

### Lambek with Contractions

Workshop Presentation at DuskoFest, Oxford, UK

### Coherent Diagrammatic Reasoning in Compositional Distributional Semantics

Workshop Presentation at 1st Workshop on String Diagrams in Computation, Logic, and Physics, Oxford, UK

### Vector Semantics for Lambek Calculus with Contraction

Conference Presentation at Logic and Algorithms in Computational Linguistics 2017, Stockholm University

### Coherent Diagrammatic Reasoning in Compositional Distributional Semantics

Conference Presentation at 24th Workshop on Logic, Language, Information and Computation, University College London, UK

### Compositional Distributional Semantics

Guest Lecture at Utrecht University, Utrecht, The Netherlands

### Non-Local Information Flow in Compositional Vector Space Models: From enhanced syntax to enhanced semantics

Workshop Presentation at Workshop on Statistical and Logical Models of Meaning at NASSLLI 2016, Rutgers University, New Brunswick, NJ, USA

### Syntactic control for compositional vector space models

Conference Presentation at Topology, Algebra, and Categories in Logic 2015, Ischia, Italy

### Enhanced Expressivity for Compositional Distributional Semantics

Poster Presentation at Advances in Distributional Semantics, London, UK

### Conversions between D and MCFG: Logical Characterizations of the Mildly Context-Sensitive Languages

Conference Presentation at 24th Meeting of Computational Linguistics in The Netherlands, Leiden, The Netherlands

### Logical Grammars

As Lecturer, Utrecht University,

Artificial Intelligence, Undergraduate

### Natural Language Processing

As Teaching Assistant, Queen Mary University of London,

Computer Science, Postgraduate

### Mathematics for Electronic Engineering I

As Lecturer, Queen Mary University of London,

Electronic Engineering, Undergraduate

### Mathematics for Electronic Engineering I

As Teaching Assistant, Queen Mary University of London,

Electronic Engineering, Undergraduate

### Logic Programming and Search Techniques

As Teaching Assistant, University of Amsterdam,

Artificial Intelligence, Undergraduate

### Computational Logic

As Teaching Assistant, University of Amsterdam,

Artificial Intelligence, Undergraduate

### Linear Algebra

As Teaching Assistant, University of Amsterdam,

Artificial Intelligence, Undergraduate

### Introduction to Artificial Intelligence

As Teaching Assistant, University of Amsterdam,

Artificial Intelligence, Undergraduate

### Introduction to Logic

As Teaching Assistant, University of Amsterdam,

Artificial Intelligence, Undergraduate

### Language and Speech Technology

As Teaching Assistant, Utrecht University,

Artificial Intelligence, Undergraduate

### Natural Language Processing

As Teaching Assistant, Utrecht University,

Artificial Intelligence, Undergraduate