自动分词中的歧义字段分析及处理     

程节华 《安徽科技学院学报》2000,(3)

无论在自然语言处理还是在机器翻译中 ,自动分词都是一个重要的环节。本文讨论传统的切词方法中 ,歧义的形式 ,以及消歧处理方法  相似文献   

Competing roles of intention and habit in predicting behavior: A comprehensive literature review,synthesis, and longitudinal field study     

《International Journal of Information Management》2023

Achieving the promised benefits of a new technology is closely tied to its sustained use. The dominant approach has been to predict use based on behavioral intention. Central to this approach is the assumption that use comes from conscious decision making, resulting from “thinking”, “reflecting”, and “cognition”. However, related work has shown that, over time and with increasing experience, use becomes habitual (routine, automatic) and when this happens, it is not subject to conscious decision making. This paper extends the technology adoption and use literature by testing the relative effects of intention and habit as determinants of use. We conducted a longitudinal field study over the period of one year, with 4 points of measurement in 7 organizations among 1235 users, to examine the effects of intention and habit from the formative stage of experience with a new technology through to an established, stable stage. The results provided strong support for habit as a predictor of use, especially over time, as use became well-rehearsed, and habit was a stronger determinant of use than intention was. In fact, habit dominates intention as a predictor of use, as experience increases. We discuss key implications for research and practice.  相似文献   

Adapting multilingual speech representation model for a new,underresourced language through multilingual fine-tuning and continued pretraining     

《Information processing & management》2023,60(2):103148

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奥迪A6轿车097型电控自动变速器结构分析     

王立明 《科技广场》2010,(1):157-158

本文详细地分析了奥迪A6轿车097型电控自动变速器的结构特点,特别阐述了其拉威挪式行星齿轮变速机构的组成及各执行元件的功能,介绍了液压控制系统各执行元件的工作情况以及自动变速驱动系统(TCU)各组成元件的作用。  相似文献   

The potential of immersive virtual reality to enhance learning: A meta-analysis     

《Educational Research Review》2022

Research on the impact of immersive virtual reality (I-VR) technology on learning has become necessary with the decreasing cost of virtual reality technologies and the development of high-quality head-mounted displays. This meta-analysis investigates the overall effect size by combining the results of primary experimental studies that reveal the effect of I-VR on learning outcomes. Besides, effect sizes were calculated based on measuring moment, types of measurement, education level, the field of education, control group educational resources, and immersion type subgroups. One hundred five independent results were calculated from 48 primary studies published between 2016 and September 2020, including 39 randomized controlled trials and nine quasi-experimental studies. The sample size of primary studies includes 3179 students, 847 from K12, and 2332 from higher education. Random effects model was used in the calculation of effect size. As a result of the meta-analysis, it was determined that the overall effect size on the learning outcomes of I-VR was small (g = 0.38). Additionally, according to the subgroup analysis results, it was revealed that I-VR significantly differentiated effect size based on educational level, the field of education, and computer-based/traditional sources. There was no significant difference in terms of the other subgroups.  相似文献   

From statistical methods to deep learning,automatic keyphrase prediction: A survey     

《Information processing & management》2023,60(4):103382

Keyphrase prediction aims to generate phrases (keyphrases) that highly summarizes a given document. Recently, researchers have conducted in-depth studies on this task from various perspectives. In this paper, we comprehensively summarize representative studies from the perspectives of dominant models, datasets and evaluation metrics. Our work analyzes up to 167 previous works, achieving greater coverage of this task than previous surveys. Particularly, we focus highly on deep learning-based keyphrase prediction, which attracts increasing attention of this task in recent years. Afterwards, we conduct several groups of experiments to carefully compare representative models. To the best of our knowledge, our work is the first attempt to compare these models using the identical commonly-used datasets and evaluation metric, facilitating in-depth analyses of their disadvantages and advantages. Finally, we discuss the possible research directions of this task in the future.  相似文献