| 2025 | COLING | Extracting structure from an LLM - how to improve on surprisal-based models of Human Language Processing. | Daphne P. Wang, Mehrnoosh Sadrzadeh, Milos Stanojevic, Wing-Yee Chow, Richard Breheny |
| 2024 | ICMI | The Potential of Multimodal Compositionality for Enhanced Recommendations through Sentiment Analysis. | Saba Nazir, Mehrnoosh Sadrzadeh |
| 2024 | WoLLIC | Lambek Calculus with Banged Atoms for Parasitic Gaps. | Mehrnoosh Sadrzadeh, Lutz Straburger |
| 2023 | ISM | Semantic and Lexical Token Based Vectors Improve Precision of Recommendations for TV Programmes. | Taner Cagali, Hadi Wazni, Saba Nazir, Mehrnoosh Sadrzadeh, Chris Newell |
| 2021 | ISM | Enhancing Personalised Recommendations with the Use of Multimodal Information. | Taner Cagali, Mehrnoosh Sadrzadeh, Chris Newell |
| 2020 | CoNLL | Representation Learning for Type-Driven Composition. | Gijs Wijnholds, Mehrnoosh Sadrzadeh, Stephen Clark |
| 2020 | ISM | Audiovisual, Genre, Neural and Topical Textual Embeddings for TV Programme Content Representation. | Saba Nazir, Taner Cagali, Mehrnoosh Sadrzadeh, Chris Newell |
| 2019 | CALCO | Principles of Natural Language, Logic, and Tensor Semantics (Invited Paper). | Mehrnoosh Sadrzadeh |
| 2019 | NAACL | Evaluating Composition Models for Verb Phrase Elliptical Sentence Embeddings. | Gijs Wijnholds, Mehrnoosh Sadrzadeh |
| 2017 | WoLLIC | Non-commutative Logic for Compositional Distributional Semantics. | Karin Cvetko-Vah, Mehrnoosh Sadrzadeh, Dimitri Kartsaklis, Benjamin Blundell |
| 2016 | ACL | Robust Co-occurrence Quantification for Lexical Distributional Semantics. | Dmitrijs Milajevs, Mehrnoosh Sadrzadeh, Matthew Purver |
| 2016 | COLING | Distributional Inclusion Hypothesis for Tensor-based Composition. | Dimitri Kartsaklis, Mehrnoosh Sadrzadeh |
| 2016 | COLING | Compositional Distributional Models of Meaning. | Mehrnoosh Sadrzadeh, Dimitri Kartsaklis |
| 2016 | ISAIM | Sentence Entailment in Compositional Distributional Semantics. | Esma Balkir, Dimitri Kartsaklis, Mehrnoosh Sadrzadeh |
| 2015 | CALCO | Open System Categorical Quantum Semantics in Natural Language Processing. | Robin Piedeleu, Dimitri Kartsaklis, Bob Coecke, Mehrnoosh Sadrzadeh |
| 2015 | ICTIR | IR meets NLP: On the Semantic Similarity between Subject-Verb-Object Phrases. | Dmitrijs Milajevs, Mehrnoosh Sadrzadeh, Thomas Roelleke |
| 2014 | ACL | Resolving Lexical Ambiguity in Tensor Regression Models of Meaning. | Dimitri Kartsaklis, Nal Kalchbrenner, Mehrnoosh Sadrzadeh |
| 2014 | EMNLP | Evaluating Neural Word Representations in Tensor-Based Compositional Settings. | Dmitrijs Milajevs, Dimitri Kartsaklis, Mehrnoosh Sadrzadeh, Matthew Purver |
| 2013 | CoNLL | Separating Disambiguation from Composition in Distributional Semantics. | Dimitri Kartsaklis, Mehrnoosh Sadrzadeh, Stephen Pulman |
| 2013 | EMNLP | Prior Disambiguation of Word Tensors for Constructing Sentence Vectors. | Dimitri Kartsaklis, Mehrnoosh Sadrzadeh |
| 2012 | AAMAS | Planning in the logics of communication and change. | Pere Pardo, Mehrnoosh Sadrzadeh |
| 2012 | COLING | A Unified Sentence Space for Categorical Distributional-Compositional Semantics: Theory and Experiments. | Dimitri Kartsaklis, Mehrnoosh Sadrzadeh, Stephen Pulman |
| 2011 | EMNLP | Experimental Support for a Categorical Compositional Distributional Model of Meaning. | Edward Grefenstette, Mehrnoosh Sadrzadeh |
| 2010 | LICS | Towards a Logic for Reasoning About Learning in a Changing World. | Prakash Panangaden, Mehrnoosh Sadrzadeh |
| 2007 | CALCO | Coalgebraic Epistemic Update Without Change of Model. | Corina Crstea, Mehrnoosh Sadrzadeh |