@inproceedings{asaadi2019big,
  title={Big BiRD: A large, fine-grained, bigram relatedness dataset for examining semantic composition},
  author={Asaadi, Shima and Mohammad, Saif and Kiritchenko, Svetlana},
  booktitle={Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)},
  pages={505--516},
  year={2019}
}

@article{nguyen2019learning,
  title={Learning short-text semantic similarity with word embeddings and external knowledge sources},
  author={Nguyen, Hien T and Duong, Phuc H and Cambria, Erik},
  journal={Knowledge-Based Systems},
  volume={182},
  pages={104842},
  year={2019},
  publisher={Elsevier}
}

@article{gomaa2019multi,
  title={A multi-layer system for semantic relatedness evaluation},
  author={Gomaa, WAEL HASSAN},
  journal={Journal of Theoretical and Applied Information Technology},
  volume={97},
  number={23},
  pages={3536--3544},
  year={2019}
}



@article{jain2020new,
  title={A new methodology for computing semantic relatedness: modified latent semantic analysis by fuzzy formal concept analysis},
  author={Jain, Shivani and Seeja, KR and Jindal, Rajni},
  journal={Procedia Computer Science},
  volume={167},
  pages={1102--1109},
  year={2020},
  publisher={Elsevier}
}

@article{mahmoud2019sentence,
  title={Sentence embedding and convolutional neural network for semantic textual similarity detection in Arabic language},
  author={Mahmoud, Adnen and Zrigui, Mounir},
  journal={Arabian Journal for Science and Engineering},
  volume={44},
  pages={9263--9274},
  year={2019},
  publisher={Springer}
}

@inproceedings{pei2021attention,
  title={Attention-based model for predicting question relatedness on Stack Overflow},
  author={Pei, Jiayan and Wu, Yimin and Qin, Zishan and Cong, Yao and Guan, Jingtao},
  booktitle={2021 IEEE/ACM 18th International Conference on Mining Software Repositories (MSR)},
  pages={97--107},
  year={2021},
  organization={IEEE}
}

@inproceedings{mahmoud2021arabic,
  title={Arabic semantic textual similarity identification based on convolutional gated recurrent units},
  author={Mahmoud, Adnen and Zrigui, Mounir},
  booktitle={2021 International Conference on INnovations in Intelligent SysTems and Applications (INISTA)},
  pages={1--7},
  year={2021},
  organization={IEEE}
}

@incollection{tsujioka2012semantic,
  title={Semantic similarity for case-based reasoning in the context of GMP},
  author={Tsujioka, Yuske and Akmal, Suriati and Takada, Yukihiko and Kawai, Hirofumi and Batres, Rafael},
  booktitle={Computer Aided Chemical Engineering},
  volume={31},
  pages={830--834},
  year={2012},
  publisher={Elsevier}
}

@article{geng2020semantic,
  title={Semantic relation extraction using sequential and tree-structured LSTM with attention},
  author={Geng, ZhiQiang and Chen, GuoFei and Han, YongMing and Lu, Gang and Li, Fang},
  journal={Information Sciences},
  volume={509},
  pages={183--192},
  year={2020},
  publisher={Elsevier}
}

@inproceedings{cambria2022senticnet,
  title={SenticNet 7: A commonsense-based neurosymbolic AI framework for explainable sentiment analysis},
  author={Cambria, Erik and Liu, Qian and Decherchi, Sergio and Xing, Frank and Kwok, Kenneth},
  booktitle={Proceedings of the Thirteenth Language Resources and Evaluation Conference},
  pages={3829--3839},
  year={2022}
}

@article{hadj2020survey,
  title={A survey of semantic relatedness evaluation datasets and procedures},
  author={Hadj Taieb, Mohamed Ali and Zesch, Torsten and Ben Aouicha, Mohamed},
  journal={Artificial intelligence review},
  volume={53},
  number={6},
  pages={4407--4448},
  year={2020},
  publisher={Springer}
}

@article{abdalla2021makes,
  title={What makes sentences semantically related: A textual relatedness dataset and empirical study},
  author={Abdalla, Mohamed and Vishnubhotla, Krishnapriya and Mohammad, Saif M},
  journal={arXiv preprint arXiv:2110.04845},
  year={2021}
}

@article{li2021enhancing,
  title={Enhancing accuracy of semantic relatedness measurement by word single-meaning embeddings},
  author={Li, Xiaotao and You, Shujuan and Chen, Wai},
  journal={IEEE Access},
  volume={9},
  pages={117424--117433},
  year={2021},
  publisher={IEEE}
}

@article{zunino2023comprender,
  title={Comprender lo desconocido: expectativas, relaciones sem{\'a}nticas y causalidad por defecto revisitada},
  author={Zunino, Gabriela Mariel},
  journal={Lenguaje},
  volume={51},
  number={1},
  pages={156--186},
  year={2023},
  publisher={Universidad del Valle}
}

@article{wolfe2005causal,
  title={Causal and semantic relatedness in discourse understanding and representation},
  author={Wolfe, Michael BW and Magliano, Joseph P and Larsen, Benjamin},
  journal={Discourse Processes},
  volume={39},
  number={2-3},
  pages={165--187},
  year={2005},
  publisher={Taylor \& Francis}
}

@inproceedings{razandi2016semantic,
  title={Semantic textual relatedness: A hybrid method},
  author={Razandi, Muhammad Fauzan and Bijaksana, Moch Arif and Junaedi, Danang and Selfiendi, Eldita Febrian and Permadi, Rakhmad Indra},
  booktitle={2016 4th International Conference on Cyber and IT Service Management},
  pages={1--4},
  year={2016},
  organization={IEEE}
}




@inproceedings{cambria-etal-2022-senticnet,
    title = "{S}entic{N}et 7: A Commonsense-based Neurosymbolic {AI} Framework for Explainable Sentiment Analysis",
    author = "Cambria, Erik  and
      Liu, Qian  and
      Decherchi, Sergio  and
      Xing, Frank  and
      Kwok, Kenneth",
    editor = "Calzolari, Nicoletta  and
      B{\'e}chet, Fr{\'e}d{\'e}ric  and
      Blache, Philippe  and
      Choukri, Khalid  and
      Cieri, Christopher  and
      Declerck, Thierry  and
      Goggi, Sara  and
      Isahara, Hitoshi  and
      Maegaard, Bente  and
      Mariani, Joseph  and
      Mazo, H{\'e}l{\`e}ne  and
      Odijk, Jan  and
      Piperidis, Stelios",
    booktitle = "Proceedings of the Thirteenth Language Resources and Evaluation Conference",
    month = jun,
    year = "2022",
    address = "Marseille, France",
    publisher = "European Language Resources Association",
    url = "https://aclanthology.org/2022.lrec-1.408",
    pages = "3829--3839",
    abstract = "In recent years, AI research has demonstrated enormous potential for the benefit of humanity and society. While often better than its human counterparts in classification and pattern recognition tasks, however, AI still struggles with complex tasks that require commonsense reasoning such as natural language understanding. In this context, the key limitations of current AI models are: dependency, reproducibility, trustworthiness, interpretability, and explainability. In this work, we propose a commonsense-based neurosymbolic framework that aims to overcome these issues in the context of sentiment analysis. In particular, we employ unsupervised and reproducible subsymbolic techniques such as auto-regressive language models and kernel methods to build trustworthy symbolic representations that convert natural language to a sort of protolanguage and, hence, extract polarity from text in a completely interpretable and explainable manner.",
}

@inproceedings{rehurek_lrec,
title = {{Software Framework for Topic Modelling with Large Corpora}},
author = {Radim {\v R}eh{\r u}{\v r}ek and Petr Sojka},
booktitle = {{Proceedings of the LREC 2010 Workshop on New
Challenges for NLP Frameworks}},
pages = {45--50},
year = 2010,
month = May,
day = 22,
publisher = {ELRA},
address = {Valletta, Malta},
note={\url{http://is.muni.cz/publication/884893/en}},
language={English}
}

@article{scikit-learn,
  title={Scikit-learn: Machine Learning in {P}ython},
  author={Pedregosa, F. and Varoquaux, G. and Gramfort, A. and Michel, V.
          and Thirion, B. and Grisel, O. and Blondel, M. and Prettenhofer, P.
          and Weiss, R. and Dubourg, V. and Vanderplas, J. and Passos, A. andCournapeau, D. and Brucher, M. and Perrot, M. and Duchesnay, E.},
  journal={Journal of Machine Learning Research},
  volume={12},
  pages={2825--2830},
  year={2011}
}

@article{DBLP:journals/corr/abs-2110-04845,
  author       = {Mohamed Abdalla and
                  Krishnapriya Vishnubhotla and
                  Saif M. Mohammad},
  title        = {What Makes Sentences Semantically Related: {A} Textual Relatedness
                  Dataset and Empirical Study},
  journal      = {CoRR},
  volume       = {abs/2110.04845},
  year         = {2021},
  url          = {https://arxiv.org/abs/2110.04845},
  eprinttype    = {arXiv},
  eprint       = {2110.04845},
  timestamp    = {Thu, 21 Oct 2021 16:20:08 +0200},
  biburl       = {https://dblp.org/rec/journals/corr/abs-2110-04845.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}

@misc{ni2021large,
title={Large Dual Encoders Are Generalizable Retrievers},
author={Jianmo Ni and Chen Qu and Jing Lu and Zhuyun Dai and Gustavo Hernández Ábrego and Ji Ma and Vincent Y. Zhao and Yi Luan and Keith B. Hall and Ming-Wei Chang and Yinfei Yang},
year={2021},
eprint={2112.07899},
archivePrefix={arXiv},
primaryClass={cs.IR}
}

@article{siino2024text,
  title={Is text preprocessing still worth the time? A comparative survey on the influence of popular preprocessing methods on Transformers and traditional classifiers},
  author={Siino, Marco and Tinnirello, Ilenia and La Cascia, Marco},
  journal={Information Systems},
  volume={121},
  pages={102342},
  year={2024},
  publisher={Elsevier}
}

@article{hickman2022text,
  title={Text preprocessing for text mining in organizational research: Review and recommendations},
  author={Hickman, Louis and Thapa, Stuti and Tay, Louis and Cao, Mengyang and Srinivasan, Padmini},
  journal={Organizational Research Methods},
  volume={25},
  number={1},
  pages={114--146},
  year={2022},
  publisher={Sage Publications Sage CA: Los Angeles, CA}
}

@article{vaswani2017attention,
  title={Attention is all you need},
  author={Vaswani, Ashish and Shazeer, Noam and Parmar, Niki and Uszkoreit, Jakob and Jones, Llion and Gomez, Aidan N and Kaiser, {\L}ukasz and Polosukhin, Illia},
  journal={Advances in neural information processing systems},
  volume={30},
  year={2017}
}



@article{Mahmoud1,
author = {Mahmoud, Adnen and Zrigui, Mounir},
year = {2019},
month = {08},
pages = {},
title = {Sentence Embedding and Convolutional Neural Network for Semantic Textual Similarity Detection in Arabic Language},
volume = {44},
journal = {Arabian Journal for Science and Engineering},
doi = {10.1007/s13369-019-04039-7}
}



@phdthesis{del2023analisis,
  title={An{\'a}lisis de elementos fon{\'e}ticos y elementos emocionales para predecir la polaridad en fuentes de microblogging},
  author={Del Castillo, Edwin Alexander Puertas},
  year={2023},
  school={Pontificia Universidad Javeriana, Colombia 9}
}

@misc{ousidhoum2024semrel2024,
title={SemRel2024: A Collection of Semantic Textual Relatedness Datasets for 14 Languages}, 
author={Nedjma Ousidhoum and Shamsuddeen Hassan Muhammad and Mohamed Abdalla and Idris Abdulmumin and Ibrahim Said Ahmad and
Sanchit Ahuja and Alham Fikri Aji and Vladimir Araujo and Abinew Ali Ayele and Pavan Baswani and Meriem Beloucif and
Chris Biemann and Sofia Bourhim and Christine De Kock and Genet Shanko Dekebo and
Oumaima Hourrane and Gopichand Kanumolu and Lokesh Madasu and Samuel Rutunda and Manish Shrivastava and
Thamar Solorio and Nirmal Surange and Hailegnaw Getaneh Tilaye and Krishnapriya Vishnubhotla and Genta Winata and
Seid Muhie Yimam and Saif M. Mohammad},
      year={2024},
      eprint={2402.08638},
      archivePrefix={arXiv},
      primaryClass={cs.CL}
}

@inproceedings{ousidhoum-etal-2024-semeval, 
title = "{S}em{E}val-2024 Task 1: Semantic Textual Relatedness for African and Asian Languages",
author = "Ousidhoum, Nedjma and Muhammad, Shamsuddeen Hassan and Abdalla, Mohamed and Abdulmumin, Idris and
Ahmad,Ibrahim Said and Ahuja, Sanchit and Aji, Alham Fikri and Araujo, Vladimir and     Beloucif, Meriem and
De Kock, Christine and Hourrane, Oumaima and Shrivastava, Manish and Solorio, Thamar and Surange, Nirmal and
Vishnubhotla, Krishnapriya and Yimam, Seid Muhie and Mohammad, Saif M.",
booktitle = "Proceedings of the 18th International Workshop on Semantic Evaluation (SemEval-2024)",
year = "2024",
publisher = "Association for Computational Linguistics"
}

