https://paperswithcode.com/sota/semantic-textual-similarity-on-sts-benchmark https://paperswithcode.com/sota/semantic-textual-similarity-on-senteval paperwithcode是一个很好的网站 然后github上关于Semantic Textual Similarity的信息综合帖,Awesome-Repositories-for-NLI-and-Semantic-Similarity.md https://gist...
CSTS: Conditional Semantic Textual Similarityarxiv.org/abs/2305.15093 代码地址: princeton-nlp/c-sts (github.com)github.com/princeton-nlp/c-sts AB&Intro 语义文本相似度(STS):测量一对句子之间的相似程度。在本质上是一个模棱两可的任务,因为句子相似度取决于某一特定方面。 条件语义文本相似度(C...
从Reddit对话中学到的基本对话模型与公开STS任务中现有的句级编码器相比具有竞争性。在Reddit和SNLI分类上训练的多任务模型在STS Benchmark任务上实现了基于句子编码模型的最好效果。最后,作者证明,即使没有任何特定任务的训练,Reddit和Reddit + SNLI模型在CQA子任务B上也已经具有竞争力。
The dataset we’ll be using today is theSemantic Textual Similarity (STS) benchmark, one of the most varied and referenced datasets for this task. It comprises a selection of the English datasets used in the STS tasks organized in the context of semantic evaluation, adding up to over 5700 ...
We evaluate the proposed approach on a diverse dataset of course descriptions, employing established benchmarks for semantic textual similarity . The results demonstrate the effectiveness of our method in capturing nuanced semantic relationships between courses.Kitanovi, Olivera...
Sentence Textual Similarity: Model Evolution Overview Shuyue Jia, Dependable Computing Laboratory, Boston University [Link] Oct 2023 Benchmarks Please check here and here to download all the benchmark databases below. STS STS12: SemEval-2012 Task 6: A Pilot on Semantic Textual Similarity En...
Within this paper, we argue that when we are only interested in measuring the semantic similarity, it is better to directly predict the similarity using a fine-tuned model for such a task. Using a fine-tuned model for the Semantic Textual Similarity Benchmark tasks (STS-B) from the GLUE ...
celarex / STS-CNN-STSbenchmark-Semantic-Similarity-Semantic-Textual-Similarity-CNN-HCTI-Tensorflow-Keras Star 29 Code Issues Pull requests A simple implementation of paper "HCTI at SemEval-2017 Task 1: Use convolutional neural network to evaluate semantic textual similarity." python nlp natural-...
National Center for Biotechnology Information Reports Findings in Medical Informatics (Benchmarking Effectiveness and Efficiency of Deep Learning Models for Semantic Textual Similarity in the Clinical Domain: Validation Study) 来自 掌桥科研 喜欢 0 阅读量: 1 摘要: By a News Reporter-Staff News Editor ...
or paragraphs. These models are transformer networks(BERT, RoBERTa, etc.) which are fine-tuned specifically for the task of Semantic textual similarity as the BERT doesn’t perform well out of the box for these tasks. Given below is the performance of different models in the STS benchmark ...