For example, the New York Times uses title case, while the Associated Press (AP) and the BBC use sentence case. If you are writing a research paper or academic essay, it’s best to check if there is a style guide you need to follow. In APA style, for example, sentence case is ...
数据集相对于shibing624/nli-zh-all/text2vec-base-chinese-sentence-dataset加入了s2p(sentence to paraphrase)数据,强化了其长文本的表征能力,并在中文各NLI测试集评估达到SOTA,运行examples/training_sup_
数据集相对于shibing624/nli-zh-all/text2vec-base-chinese-sentence-dataset加入了s2p(sentence to paraphrase)数据,强化了其长文本的表征能力,并在中文各NLI测试集评估达到SOTA,运行examples/training_sup_
并在中文测试集评估相对于原模型效果有提升,在短文本区分度上提升明显,运行examples/training_sup_text_matching_model_jsonl_data.py代码可训练模型,模型文件已经上传HF model hub,中文s2s(句子vs句子)
text2vec, text to vector. 文本向量表征工具,把文本转化为向量矩阵,实现了Word2Vec、RankBM25、Sentence-BERT、CoSENT等文本表征、文本相似度计算模型,开箱即用。 - lishoulong/text2vec
APA: Xu, M. Text2vec: Text to vector toolkit (Version 1.1.2) [Computer software]. https://github.com/shibing624/text2vec BibTeX: @misc{Text2vec, author = {Ming Xu}, title = {Text2vec: Text to vector toolkit}, year = {2023}, publisher = {GitHub}, journal = {GitHub repository...
APA: Xu, M. Text2vec: Text to vector toolkit (Version 1.1.2) [Computer software]. https://github.com/shibing624/text2vec BibTeX: @misc{Text2vec, author = {Ming Xu}, title = {Text2vec: Text to vector toolkit}, year = {2023}, publisher = {GitHub}, journal = {GitHub repository...
In this case, the cohesion of a sentence is important for summarizing a bug report. Additionally, the title of a bug report implies the key point of the bug to its readers. 4.4.1. Sentence Believability AssessmentSentence believability is computed based on evaluation behaviors. An evaluated ...
In this case, the cohesion of a sentence is important for summarizing a bug report. Additionally, the title of a bug report implies the key point of the bug to its readers. 4.4.1. Sentence Believability Assessment Sentence believability is computed based on evaluation behaviors. An evaluated ...
In our work, we have used specific implementations of the above clustering methods. In order to focus on the most important dimensions and speed up calculations in both clustering approaches, we reduced the number of dimensions. In the case of the density-based method, we first applied UMAP (...