%DATASET DEL TASK
@inproceedings{abdalla2023makes,
      title={What Makes Sentences Semantically Related: A Textual Relatedness Dataset and %Empirical Study},
      author={Abdalla, Mohamed and Vishnubhotla, Krishnapriya and Mohammad, Saif M.},
      year={2023},
      address = {Dubrovnik, Croatia},
      publisher = {Association for Computational Linguistics},
      booktitle = {Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume}
}

%SENTENCE TRANSFORMERS
@inproceedings{reimers-2019-sentence-bert,
    title = "Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks",
    author = "Reimers, Nils and Gurevych, Iryna",
    booktitle = "Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing",
    month = "11",
    year = "2019",
    publisher = "Association for Computational Linguistics",
    url = "http://arxiv.org/abs/1908.10084",
}

%SENTENCE TRANSFORMERS PRETRAINED MODELS
@article{reimers-monomultilingual,
  author       = {Nils Reimers and
                  Iryna Gurevych},
  title        = {Making Monolingual Sentence Embeddings Multilingual using Knowledge
                  Distillation},
  journal      = {CoRR},
  volume       = {abs/2004.09813},
  year         = {2020},
  url          = {https://arxiv.org/abs/2004.09813},
  eprinttype    = {arXiv},
  eprint       = {2004.09813},
  timestamp    = {Thu, 26 Nov 2020 12:13:54 +0100},
  biburl       = {https://dblp.org/rec/journals/corr/abs-2004-09813.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}

%BERT
@inproceedings{devlin-etal-2019-bert,
    title = "{BERT}: Pre-training of Deep Bidirectional Transformers for Language Understanding",
    author = "Devlin, Jacob  and
      Chang, Ming-Wei  and
      Lee, Kenton  and
      Toutanova, Kristina",
    editor = "Burstein, Jill  and
      Doran, Christy  and
      Solorio, Thamar",
    booktitle = "Proceedings of the 2019 Conference of the North {A}merican Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)",
    month = jun,
    year = "2019",
    address = "Minneapolis, Minnesota",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/N19-1423",
    doi = "10.18653/v1/N19-1423",
    pages = "4171--4186",
    abstract = "We introduce a new language representation model called BERT, which stands for Bidirectional Encoder Representations from Transformers. Unlike recent language representation models (Peters et al., 2018a; Radford et al., 2018), BERT is designed to pre-train deep bidirectional representations from unlabeled text by jointly conditioning on both left and right context in all layers. As a result, the pre-trained BERT model can be fine-tuned with just one additional output layer to create state-of-the-art models for a wide range of tasks, such as question answering and language inference, without substantial task-specific architecture modifications. BERT is conceptually simple and empirically powerful. It obtains new state-of-the-art results on eleven natural language processing tasks, including pushing the GLUE score to 80.5 (7.7 point absolute improvement), MultiNLI accuracy to 86.7{\%} (4.6{\%} absolute improvement), SQuAD v1.1 question answering Test F1 to 93.2 (1.5 point absolute improvement) and SQuAD v2.0 Test F1 to 83.1 (5.1 point absolute improvement).",
}

@misc{touvron2023llama,
      title={LLaMA: Open and Efficient Foundation Language Models}, 
      author={Hugo Touvron and Thibaut Lavril and Gautier Izacard and Xavier Martinet and Marie-Anne Lachaux and Timothée Lacroix and Baptiste Rozière and Naman Goyal and Eric Hambro and Faisal Azhar and Aurelien Rodriguez and Armand Joulin and Edouard Grave and Guillaume Lample},
      year={2023},
      eprint={2302.13971},
      archivePrefix={arXiv},
      primaryClass={cs.CL}
}

%ANGLE EMBEDDINGS
@article{li2023angle,
  title={AnglE-optimized Text Embeddings},
  author={Li, Xianming and Li, Jing},
  journal={arXiv preprint arXiv:2309.12871},
  year={2023}
}

%%RELATED WORK
@article{Abdalla2021WhatMS,
  title={What Makes Sentences Semantically Related? A Textual Relatedness Dataset and Empirical Study},
  author={Mohamed Abdalla and Krishnapriya Vishnubhotla and Saif M. Mohammad},
  journal={ArXiv},
  year={2021},
  volume={abs/2110.04845},
  url={https://api.semanticscholar.org/CorpusID:238583234}
}

@inproceedings{Radinsky11,
author = {Radinsky, Kira and Agichtein, Eugene and Gabrilovich, Evgeniy and Markovitch, Shaul},
year = {2011},
month = {03},
pages = {337-346},
title = {A Word at a Time: Computing Word Relatedness using Temporal Semantic Analysis},
booktitle = {Proceedings of the 20th International Conference on World Wide Web, WWW 2011},
doi = {10.1145/1963405.1963455}
}

@inproceedings{asaadi-etal-2019-big,
    title = "Big {B}i{RD}: A Large, Fine-Grained, Bigram Relatedness Dataset for Examining Semantic Composition",
    author = "Asaadi, Shima  and
      Mohammad, Saif  and
      Kiritchenko, Svetlana",
    editor = "Burstein, Jill  and
      Doran, Christy  and
      Solorio, Thamar",
    booktitle = "Proceedings of the 2019 Conference of the North {A}merican Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)",
    month = jun,
    year = "2019",
    address = "Minneapolis, Minnesota",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/N19-1050",
    doi = "10.18653/v1/N19-1050"
}

@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"
}