The attention mechanism plays an important role in the machine reading comprehension (MRC) model. Here, we describe a pipeline for building an MRC model with a pretrained language model and visualizing the effect of each attention zone in different layers, which can indicate the explainability of the model. With the presented protocol and accompanying code, researchers can easily visualize the relevance of each attention zone in the MRC model.
View Article and Find Full Text PDFAchieving human-level performance on some of the machine reading comprehension (MRC) datasets is no longer challenging with the help of powerful pre-trained language models (PLMs). However, the internal mechanism of these artifacts remains unclear, placing an obstacle to further understand these models. This paper focuses on conducting a series of analytical experiments to examine the relations between the multi-head self-attention and the final MRC system performance, revealing the potential explainability in PLM-based MRC models.
View Article and Find Full Text PDFInsulin resistance has become a worldwide nutrition and metabolic health problem due to the lack of effective protective agents. Laminaria japonica is a well-known marine vegetable. Purified Laminaria japonica polysaccharide (LJP61A) can inhibit atherosclerosis in high-fat-diet (HFD)-fed mice via ameliorating insulin resistance.
View Article and Find Full Text PDFScope: The overproduction of very low density lipoprotein (VLDL) is an important cause for initiation and development of atherosclerosis, which is highly associated with insulin signaling. The aim of this work is to verify whether the inhibition of VLDL overproduction is an underlying mechanism for a Laminaria japonica polysaccharide (LJP61A (where LJP is L. japonica)) to resist atherosclerosis.
View Article and Find Full Text PDFChinese chive, a famous green vegetable, is widely cultivated in the Asia. In the present study, we found that ultrasound caused the degradation of Chinese chive polysaccharides (CCP) in the process of extraction. Since lacking the consideration of polysaccharide degradation, the traditional kinetic models can not reflect the real extraction process of CCP.
View Article and Find Full Text PDFWith the blooming of online social media applications, Community Question Answering (CQA) services have become one of the most important online resources for information and knowledge seekers. A large number of high quality question and answer pairs have been accumulated, which allow users to not only share their knowledge with others, but also interact with each other. Accordingly, volumes of efforts have been taken to explore the questions and answers retrieval in CQA services so as to help users to finding the similar questions or the right answers.
View Article and Find Full Text PDFWith the blooming of Web 2.0, Community Question Answering (CQA) services such as Yahoo! Answers (http://answers.yahoo.
View Article and Find Full Text PDFLexical gap in cQA search, resulted by the variability of languages, has been recognized as an important and widespread phenomenon. To address the problem, this paper presents a question reformulation scheme to enhance the question retrieval model by fully exploring the intelligence of paraphrase in phrase-level. It compensates for the existing paraphrasing research in a suitable granularity, which either falls into fine-grained lexical-level or coarse-grained sentence-level.
View Article and Find Full Text PDFZhongguo Zhong Yao Za Zhi
November 2007
Objective: To study the different manufacturers Vitmin C (Vc) Yinqiao tablets, and the quality of the analysis of the problem, to provide a theoretical basis for the correct evaluation of the quality of medicines and improving the standard drugs.
Method: 11 manufacturers of 18 batches of samples for determination of the weight of the core tablets, powder samples were observed with microscope, determination of Vc, and the establishment of the Vc Yinqiao tablets HPLC method for determination of chlorogenic acid and arctigenin, chlorogenic acid and arctigenin in the samples were measured and compared.
Result: There is a big difference of microscope and various measured results in different manufacturers products.