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...
The semantic textual similarity (STS) benchmark tasks from 2012-2016 (STS12, STS13, STS14, STS15, STS16, STS-B) measure the relatedness of two sentences based on the cosine similarity of the two representations. The evaluation criterion is Pearson correlation....
Semantic Textual Similarity(STS) is defined as the measure of semantic equivalence between two blocks of text.(语义文本相似性定义为:两个文本块之间的语义等价性测量) Semantic similarity methods usually give a ranking or percentage of similarity between texts, rather than a binary decision as similar ...
1. Semantic Textual Similarity(STS):判断两个句子的语义相似程度; 2.Natural Language Inference (NLI):也叫Recognizing Textual Entailment (RTE),判断两个句子在语义上是否存在推断关系,相对任务1更复杂一些,不仅仅是考虑相似,而且也考虑了推理; 3.Paraphrase Identification (PI):判断两个句子是否表达同样的意思; ...
python nlp semantic-textual-similarity Updated Feb 10, 2018 Jupyter Notebook 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...
SemEval-2016 Task 1: Semantic Textual Similarity, Monolingual and Cross-Lingual Evaluation Eneko Agirre, Carmen Banea, Daniel Cer, Mona Diab, Aitor Gonzalez-Agirre, Rada Mihalcea, German Rigau, Janyce Wiebe SemEval 2016, [Paper] [Download] 16 June 2016 STS Benchmark (STSb): SemEval-201...
We present the UKP system which performed best in the Semantic Textual Similarity (STS) task at SemEval-2012 in two out of three metrics. It uses a simple log-linear regression model, trained on the training data, to combine multiple text similarity measures of varying complexity. These range...
Semantic Textual Similarity (STS) :判断两个句子的语义相似程度(measureing the degree of equivalence in the underlying semantics of paired snippets of text) Natural Language Inference (NLI) :也叫Recognizing Textual Entailment(RTE),判断两个句子在语义上是否存在推断关系,相对任务一更复杂一些,不仅仅是考虑...
In this paper we attempt to deduce textualentailment based on syntactic dependencytrees of a given text-hypothesis pair.The goals of this project are to provide anaccurate and fast system, which we havecalled DLSITE-2, that can be applied insoftware systems that require a near-realtimeinteractio...
数据集分析 Baselines 结果 评价C-STS上的句子编码器 在C-STS上的少样本表现 分析 结论 论文链接: 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...