SemEval-2014 Task 10: Multilingual Semantic Textual Similarity

Our summary of the paper, in our own words — not its text. The work belongs to its authors; read it at the links above.

Fields: Natural language processing

Cited by

293 papers of our library cite it (of the 140673 whose bibliographies we read); 21 of them have a page here, 272 not yet.

• SemEval-2016 Task 1: Semantic Textual Similarity, Monolingual and Cross-Lingual Evaluation
• LLM2Vec: Large Language Models Are Secretly Powerful Text Encoders
• Supervised Learning of Universal Sentence Representations from Natural Language Inference Data
• SentEval: An Evaluation Toolkit for Universal Sentence Representations
• SimCSE: Simple Contrastive Learning of Sentence Embeddings
• DeCLUTR: Deep Contrastive Learning for Unsupervised Textual Representations
• Generating Sentences by Editing Prototypes
• Learning Distributed Representations of Sentences from Unlabelled Data
• ParaAMR: A Large-Scale Syntactically Diverse Paraphrase Dataset by AMR Back-Translation
• On the Sentence Embeddings from Pre-trained Language Models
• An efficient framework for learning sentence representations
• Learned in Translation: Contextualized Word Vectors
• MTEB: Massive Text Embedding Benchmark
• Sentence-T5: Scalable Sentence Encoders from Pre-trained Text-to-Text Models
• Unsupervised Learning of Sentence Embeddings Using Compositional n-Gram Features
• Generating Datasets with Pretrained Language Models
• Towards Universal Paraphrastic Sentence Embeddings
• ParaNMT-50M: Pushing the Limits of Paraphrastic Sentence Embeddings with Millions of Machine Translations
• Beyond BLEU: Training Neural Machine Translation with Semantic Similarity
• C-Pack: Packed Resources For General Chinese Embeddings
• ConSERT: A Contrastive Framework for Self-Supervised Sentence Representation Transfer

Cite

The paper itself, not this page. BibTeX from the library's record of the work. DOI 10.3115/v1/s14-2010

@inproceedings{agirre2014semeval,
  title = {{SemEval-2014 Task 10: Multilingual Semantic Textual Similarity}},
  author = {Agirre, Eneko and Banea, Carmen and Cardie, Claire and Cer, Daniel and Diab, Mona and Gonzalez-Agirre, Aitor and Guo, Weiwei and Mihalcea, Rada and Rigau, German and Wiebe, Janyce},
  booktitle = {Proceedings of the 8th International Workshop on Semantic Evaluation (SemEval 2014)},
  year = {2014},
  doi = {10.3115/v1/s14-2010},
  url = {https://doi.org/10.3115/v1/s14-2010}
}

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