منابع مشابه
Using Argumentative Zones for Extractive Summarization of Scientific Articles
Information structure, i.e the way speakers construct sentences to present new information in the context of old, can capture rich linguistic information about the discourse structure of scientific documents. Information structure has been found useful for important Natural Language Processing (NLP) tasks, such as information retrieval and extraction. Since scientific articles typically follow ...
متن کاملCRAB Reader: A Tool for Analysis and Visualization of Argumentative Zones in Scientific Literature
Given the rapid publication rate in many fields of science, it is important to develop technology that can help researchers locate different types of information in scientific literature. A number of approaches have been developed for automatic identification of information structure of scientific papers. Such approaches can be useful for down-stream NLP tasks (e.g. summarization) and practical...
متن کاملStudies of casein micelle structure: the past and the present
At the heart of the milk system are the colloidal casein-calcium-transport complexes termed the casein micelles. The application of physical chemical techniques such as light, neutron, and X-ray scattering, and Electron Microscopy (EM) has yielded a wealth of experimental detail concerning the structure of the casein micelle. From these experimental data bases have arisen two conflicting models...
متن کامل[Current research status of Vitreoscilla hemoglobin and the prospective application in traditional Chinese medicine].
透明颤菌是一种专性好氧的革兰氏阴性丝状 菌 ,属于贝日阿托氏菌属 ( Beg gia toe ) , 在沼泽、腐 烂植物等贫氧的环境中生长旺盛。V H b 在透明颤 菌中被发现 , 最初被认 为是“细胞 色素 o ( cytochrome o, Cyo)”蛋白 , 具有末端氧化酶的性质 [ 2 ] 。 Cyo 在不同的环境条件下可呈现三种不同的状态 , 即氧化态、还原态、氧合态 ,并可以相互转化 ; 其中还 原态是生理活性态 , 而氧合态则是富氧条件下的表 现形式。它在 577、544 和 420 nm 处有最大吸收峰 , 若向溶液中鼓入 CO 气体 , 则可形成蛋白-CO 复合 物 ,在 566、535 及 419 nm 处呈现特征吸收峰 [ 3 ] 。但 是随着 1983 年真正的 Cyo 的分离和确定 [ 4 ] , 实验 表明该蛋白在光谱学和氧结合动力学性质上与氧合 肌红、血...
متن کامل台灣情緒語料庫建置與辨識 (An Emotional Speech Database in Taiwan: Collection and Recognition) [In Chinese]
[1]這本小書開始了情感運算的時代,此書定義了情感運算,從一個資訊工程研究者的角 度來描述與說明情感運算的應用及重要性,解釋基本的訊號處理與機器學習分類的觀念。 情感運算為一個龐大的研究議題,其中橫跨多個領域如資訊科學、心理學、感知科學和 工程學等等。[2]對語音情緒辨識做了大略的概論,首先整理了研究中普遍常見的情緒語 料庫,探討基本特徵參數如音高(Pitch)、能量(Energy)、基頻(Fundamental Frequency, F0) 和梅爾倒頻譜係數(Mel Frequency Cepstral Coefficients, MFCC)等,後端則實驗高斯混合 模型(Gaussian Mixture Model, GMM)、支持向量機(Support Vector Machine, SVM)、隱藏 式馬可夫模型(Hidden Markov Model, HMM)和類神經網絡(A...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Chinese Science Bulletin
سال: 1987
ISSN: 0023-074X
DOI: 10.1360/csb1987-32-6-426