@inproceedings{schwarz2017analysis,
  title={Analysis of the effectiveness of similarity measures for recommender systems},
  author={Schwarz, Mykhaylo and Lobur, Mykhaylo and Stekh, Yuriy},
  booktitle={Porceedings of the 14th International Conference The Experience of Designing and Application of CAD Systems in Microelectronics (CADSM `17)},
  pages={275--277},
  year={2017}
}

@article{sidorov2014soft,
  title={Soft similarity and soft cosine measure: Similarity of features in vector space model},
  author={Sidorov, Grigori and Gelbukh, Alexander and G{\'o}mez-Adorno, Helena and Pinto, David},
  journal={Computaci{\'o}n y Sistemas},
  volume={18},
  number={3},
  pages={491--504},
  year={2014},
  publisher={Centro de Investigaci{\'o}n en Computaci{\'o}n, IPN}
}

@article{richie2021similarity,
  title={Similarity judgment within and across categories: A comprehensive model comparison},
  author={Richie, Russell and Bhatia, Sudeep},
  journal={Cognitive Science},
  volume={45},
  number={8},
  pages={e13030},
  year={2021},
  publisher={Wiley Online Library}
}

@article{richie2020spatial,
  title={The spatial arrangement method of measuring similarity can capture high-dimensional semantic structures},
  author={Richie, Russell and White, Bryan and Bhatia, Sudeep and Hout, Michael C},
  journal={Behavior research methods},
  volume={52},
  number={5},
  pages={1906--1928},
  year={2020},
  publisher={Springer}
}

@inproceedings{recski2016measuring,
  title={Measuring Semantic Similarity of Words Using Concept Networks},
  author={Recski, G{\'a}bor and Ikl{\'o}di, Eszter and Pajkossy, Katalin and Kornai, Andr{\'a}s},
  booktitle={Proceedings of the 1st Workshop on Representation Learning for NLP (RepL4NLP `16)},
  pages={193--200},
  year={2016}
}

@inproceedings{speer2017conceptnet,
  title={Conceptnet 5.5: An open multilingual graph of general knowledge},
  author={Speer, Robyn and Chin, Joshua and Havasi, Catherine},
  booktitle={Proceedings of the 31st AAAI Conference on Artificial Intelligence (AAAI `17)},
  pages={4444--4451},
  year={2017}
}

@article{tversky1977features,
  title={Features of similarity.},
  author={Tversky, Amos},
  journal={Psychological review},
  volume={84},
  number={4},
  pages={327},
  year={1977},
  publisher={American Psychological Association}
}

@article{barsalou1982context,
  title={Context-independent and context-dependent information in concepts},
  author={Barsalou, Lawrence W},
  journal={Memory \& cognition},
  volume={10},
  number={1},
  pages={82--93},
  year={1982},
  publisher={Springer}
}

@article{medin1993respects,
  title={Respects for similarity.},
  author={Medin, Douglas L and Goldstone, Robert L and Gentner, Dedre},
  journal={Psychological review},
  volume={100},
  number={2},
  pages={254},
  year={1993},
  publisher={American Psychological Association}
}

@article{goldstone1997similarity,
  title={Similarity in context},
  author={Goldstone, Robert L and Medin, Douglas L and Halberstadt, Jamin},
  journal={Memory \& Cognition},
  volume={25},
  number={2},
  pages={237--255},
  year={1997},
  publisher={Springer}
}

@article{BIGpaper,
    author = "Richie, R. and Bhatia, S.",
    title = "Similarity judgment within and across categories: A comprehensive model comparison",
    year = "2020",
    doi = "https://doi.org/10.31234/osf.io/5pa9r"
}


@article{mikolov2013efficient,
  title={Efficient estimation of word representations in vector space},
  author={Mikolov, Tomas and Chen, Kai and Corrado, Greg and Dean, Jeffrey},
  journal={arXiv preprint arXiv:1301.3781},
  year={2013}
}

@article{hill2015simlex,
  title={Simlex-999: Evaluating semantic models with (genuine) similarity estimation},
  author={Hill, Felix and Reichart, Roi and Korhonen, Anna},
  journal={Computational Linguistics},
  volume={41},
  number={4},
  pages={665--695},
  year={2015},
  publisher={MIT Press}
}

@inproceedings{finkelstein2001placing,
  title={Placing search in context: The concept revisited},
  author={Finkelstein, Lev and Gabrilovich, Evgeniy and Matias, Yossi and Rivlin, Ehud and Solan, Zach and Wolfman, Gadi and Ruppin, Eytan},
  booktitle={Proceedings of the 10th International Conference on World Wide Web (WWW `01)},
  pages={406--414},
  year={2001}
}

@article{toshevska2020comparative,
  title={Comparative analysis of word embeddings for capturing word similarities},
  author={Toshevska, Martina and Stojanovska, Frosina and Kalajdjieski, Jovan},
  journal={arXiv preprint arXiv:2005.03812},
  year={2020}
}


@inproceedings{hewitt2019structural,
  title={A structural probe for finding syntax in word representations},
  author={Hewitt, John and Manning, Christopher D},
  booktitle={Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics (NAACL `19)},
  pages={4129--4138},
  year={2019}
}

@article{coecke2010mathematical,
  title={Mathematical foundations for a compositional distributed model of meaning},
  author={Coecke, M Sadrzadeh B and Clark, S},
  journal={Lambek Festschirft‚ Linguistic Analysis},
  volume={36},
  number={1-4},
  pages={345–384},
  year={2010}
}

@inproceedings{grefenstette2011experimental,
  title={Experimental Support for a Categorical Compositional Distributional Model of Meaning},
  author={Grefenstette, Edward and Sadrzadeh, Mehrnoosh},
  booktitle={Proceedings of the 2011 Conference on Empirical Methods in Natural Language Processing (EMNLP `11)},
  pages={1394–1404},
  year={2011}
}

@inproceedings{milajevs2014evaluating,
  title={Evaluating Neural Word Representations in Tensor-Based Compositional Settings},
  author={Milajevs, Dmitrijs and Kartsaklis, Dimitri and Sadrzadeh, Mehrnoosh and Purver, Matthew},
  booktitle={Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP `14)},
  pages={708--719},
  year={2014}
}

@inproceedings{grefenstette2011experimenting,
  title={Experimenting with transitive verbs in a {DisCoCat}},
  author={Grefenstette, Edward and Sadrzadeh, Mehrnoosh},
  booktitle={Proceedings of the 2011 Workshop on GEometrical Models of Natural Language Semantics (GEMS `11)},
  pages={62--66},
  year={2011}
}

@inproceedings{wijnholds2019evaluating,
  title={Evaluating composition models for verb phrase elliptical sentence embeddings},
  author={Wijnholds, Gijs and Sadrzadeh, Mehrnoosh},
  booktitle={Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics (NAACL `19)},
  pages={261--271},
  year={2019}
}

@article{correia2020density,
  title={Density Matrices with Metric for Derivational Ambiguity},
  author={Correia, Adriana D and Moortgat, Michael and Stoof, Henk TC},
  journal={Journal of Applied Logics},
  volume={2631},
  number={5},
  pages={795},
  year={2020}
}

@book{bishop2006pattern,
  title={Pattern recognition and machine learning},
  author={Bishop, Christopher M},
  year={2006},
  publisher={Springer}
}

@book{raschka2015python,
  title={Python machine learning},
  author={Raschka, Sebastian},
  year={2015},
  publisher={Packt publishing}
}

@inproceedings{pennington2014glove,
  title={Glove: Global vectors for word representation},
  author={Pennington, Jeffrey and Socher, Richard and Manning, Christopher D},
  booktitle={Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP `14)},
  pages={1532--1543},
  year={2014}
}

@inproceedings{devlin2019bert,
  title={BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding},
  author={Devlin, Jacob and Chang, Ming-Wei and Lee, Kenton and Toutanova, Kristina},
  booktitle={Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics (NAACL `19)},
  pages={4171--4186},
  year={2019}
}

@article{radford2019language,
  title={Language models are unsupervised multitask learners},
  author={Radford, Alec and Wu, Jeffrey and Child, Rewon and Luan, David and Amodei, Dario and Sutskever, Ilya},
  journal={OpenAI blog},
  volume={1},
  number={8},
  pages={9},
  year={2019}
}

@article{dobo2020comprehensive,
  title={A comprehensive study of the parameters in the creation and comparison of feature vectors in distributional semantic models},
  author={Dob{\'o}, Andr{\'a}s and Csirik, J{\'a}nos},
  journal={Journal of Quantitative Linguistics},
  volume={27},
  number={3},
  pages={244--271},
  year={2020},
  publisher={Taylor \& Francis}
}

@inproceedings{banjade2015lemon,
  title={Lemon and tea are not similar: Measuring word-to-word similarity by combining different methods},
  author={Banjade, Rajendra and Maharjan, Nabin and Niraula, Nobal B and Rus, Vasile and Gautam, Dipesh},
  booktitle={International conference on intelligent text processing and computational linguistics},
  pages={335--346},
  year={2015}
}

@inproceedings{mikolov2013distributed,
  title={Distributed representations of words and phrases and their compositionality},
  author={Mikolov, Tomas and Sutskever, Ilya and Chen, Kai and Corrado, Greg and Dean, Jeffrey},
  booktitle={Proceedings of the 26th International Conference on Neural Information Processing Systems (NIPS `13)},
  pages={3111--3119},
  year={2013}
}

@inproceedings{bender2021dangers,
  title={On the Dangers of Stochastic Parrots: Can Language Models Be Too Big?},
  author={Bender, Emily M and Gebru, Timnit and McMillan-Major, Angelina and Shmitchell, Shmargaret},
  booktitle={Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency (ACM FAccT `21)},
  pages={610--623},
  year={2021}
}

@inproceedings{baroni2014frege,
  title={Frege in Space: A Program for Composition Distributional Semantics},
  author={Baroni, Marco and Bernardi, Raffaella and Zamparelli, Roberto},
  booktitle={Linguistic Issues in Language Technology, Volume 9, 2014-Perspectives on Semantic Representations for Textual Inference},
  year={2014}
}

@inproceedings{paperno2014practical,
  title={A practical and linguistically-motivated approach to compositional distributional semantics},
  author={Paperno, Denis and Baroni, Marco and others},
  booktitle={Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (ACL `14)},
  pages={90--99},
  year={2014}
}

@book{wald2010general,
  title={General relativity},
  author={Wald, Robert M},
  year={2010},
  publisher={University of Chicago Press}
}

@book{salton1983introduction,
  title={Introduction to modern information retrieval},
  author={Salton, Gerard and McGill, Michael J},
  year={1983},
  publisher={McGraw Hill}
}

@book{axler1997linear,
  title={Linear algebra done right},
  author={Axler, Sheldon Jay},
  year={1997},
  publisher={Springer}
}

@book{witten2005practical,
  title={Data Mining: Practical machine learning tools and techniques},
  author={Witten, Ian H and Frank, Eibe and Hall, Mark A and Pal, CJ},
  year={2005},
  publisher={Elsevier}
}

@inproceedings{hermann2014multilingual,
  title={Multilingual Models for Compositional Distributed Semantics},
  author={Hermann, Karl Moritz and Blunsom, Phil},
  booktitle={Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)},
  pages={58--68},
  year={2014}
}

@article{abbaszadeh2021parametrized,
  title={Parametrized Quantum Circuits of Synonymous Sentences in Quantum Natural Language Processing},
  author={Abbaszadeh, Mina and Mousavi, S Shahin and Salari, Vahid},
  journal={arXiv preprint arXiv:2102.02204},
  year={2021}
}

@inproceedings{kogkalidis2019constructive,
  title={Constructive Type-Logical Supertagging With Self-Attention Networks},
  author={Kogkalidis, Konstantinos and Moortgat, Michael and Deoskar, Tejaswini},
  booktitle={Proceedings of the 4th Workshop on Representation Learning for NLP (RepL4NLP `19)},
  pages={113--123},
  year={2019}
}

@misc{sphere, 
    author = {Borut Levart},
    title = {Triangles on a Sphere},
    year = 2011,
    note = {Wolfram Demonstrations Project},
    url = {http://demonstrations.wolfram.com/TrianglesOnASphere/},
    urldate = {2016-07-26}
}

@article{kulis2013metric,
  title={Metric learning: A survey},
  author={Kulis, Brian and others},
  journal={Foundations and Trends{\textregistered} in Machine Learning},
  volume={5},
  number={4},
  pages={287--364},
  year={2013},
  publisher={Now Publishers, Inc.}
}

