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-STS):测量在自然语言中阐明的一个方面(这里称为条件)的相似性。比STS的优点在于:1)减少了STS的主观性和模糊性;2)可以使用不同条件进行细粒度的相似性评估。 以上为...
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...
语义文本相似度是指确定两篇文本的相似程度。 这可以采取从1到5打分的形式,相关的任务是意译或重复的识别。 相关任务 释义识别 任务数量 1 模型数量 27 跨语言语义文本相似性 任务数量 1 模型收录中 可用模型 选择基准,对比模型表现 模型名模型规模最佳表现情况技术方法发布时间适配资源 ...
Semantic textual similarityPortuguese languageDeep neural language models which achieved state-of-the-art results on downstream natural language processing tasks have recently been trained for the Portuguese language. However, studies that systematically evaluate such models are still necessary for several ...
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...
Sentence similarity Text similarityService oriented designEnsembling well performing models has been proved to outperform individual models in semantic textual similarity task; however, employing existing models still remains a challenge. In this paper, we tackle this issue by providing a service oriented ...
SemEval-2016 Task 2: Interpretable Semantic Textual Similarity User acceptance of artificial intelligence agents might depend on their ability to explain their reasoning to the users. We focus on a specific text processing task, the Semantic Textual Similarity task (STS), where systems need to ...
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...
Semantic Textual Similarity (STS) is a foundational NLP task and can be used in a wide range of tasks. To determine the STS of two texts, hundreds of different STS systems exist, however, for an NLP system designer, it is hard to decide which system is the best one. To answer this ...
3 Experiment 1: Textual Similarity 3实验1:文本相似性 Measuring semantic similarity of textual items has applications in a wide variety of NLP tasks. Asour benchmark, we selected the recent SemEval2012 task on Semantic Textual Similarity (STS),which was concerned with measuring the semantic similar...