MODELS OF HUMAN COMMUNICATION: DIALOGUE WITH COMPUTER

A model of understanding texts of a natural language is presented, which consists of three levels. On the first level, the system uses only information in the given text. On the second level, it employs additional information from a knowledge base. On the third level, understanding is connected with some activity of the system stimulated by the available information.     

基于Pro/E二次开发的注射机双曲肘合模机构的参数化设计

利用机构学的方法对双曲肘合模机构进行了运动分析,并确立了合模行程、各肘杆尺寸及最大启模角等参数间的关联关系。通过使用Pro/E二次开发技术,讨论了应用Pro/toolkit进行菜单开发及零件参数化实现的方法;以MFC对话框设计技术和VC++建立了双曲肘合模机构参数驱动自动生成技术,开发出了与Pro/E 4.0系统集成的合模机构零件参数化设计系统。     

基于MATLAB 6.5的图形用户界面应用技术研究

开发基于MATLAB6.5的图形用户界面(GUI)可以获得友好的界面,便于演示及交互操作。通过一个实例,讨论了编制MATLAB6.5GUI的关键技术及其实现途径,通过这些技术可以缩短GUI开发时间,具体介绍了全局数据技术、用户菜单技术和模态对话框技术。     

Extending boosting for large scale spoken language understanding

We propose three methods for extending the Boosting family of classifiers motivated by the real-life problems we have encountered. First, we propose a semisupervised learning method for exploiting the unlabeled data in Boosting. We then present a novel classification model adaptation method. The goal of adaptation is optimizing an existing model for a new target application, which is similar to the previous one but may have different classes or class distributions. Finally, we present an efficient and effective cost-sensitive classification method that extends Boosting to allow for weighted classes. We evaluated these methods for call classification in the AT&;T VoiceTone^® spoken language understanding system. Our results indicate that it is possible to obtain the same classification performance by using 30% less labeled data when the unlabeled data is utilized through semisupervised learning. Using model adaptation we can achieve the same classification accuracy using less than half of the labeled data from the new application. Finally, we present significant improvements in the “important” (i.e., higher weighted) classes without a significant loss in overall performance using the proposed cost-sensitive classification method.     

Multi-Modal Dialog Scene Detection Using Hidden Markov Models for Content-Based Multimedia Indexing

A class of audio-visual data (fiction entertainment: movies, TV series) is segmented into scenes, which contain dialogs, using a novel hidden Markov model-based (HMM) method. Each shot is classified using both audio track (via classification of speech, silence and music) and visual content (face and location information). The result of this shot-based classification is an audio-visual token to be used by the HMM state diagram to achieve scene analysis. After simulations with circular and left-to-right HMM topologies, it is observed that both are performing very good with multi-modal inputs. Moreover, for circular topology, the comparisons between different training and observation sets show that audio and face information together gives the most consistent results among different observation sets.     

基于Auto CAD的可编程对话框的设计

介绍Auto CAD可编程对话框的构成，并通过一个典型实例，阐述基于Aulo CAD可编程对话框的设计方法。     

基于MFC用户界面设计主、子对话框数据的传递

在基于MFC的用户界面设计中,一个对话框常常拥有多个子对话框,这时就需要把主对话框中用户输入的数据正确地传递到该对话框的每个子对话框中去。如何完成这个任务是程序设计中的一个难点。笔者引进了多个全局变量,顺利地解决了这种问题。     

Say it Like You Mean it: Priming for Structure in Caller Responses to a Spoken Dialog System

In this paper we report results of a study undertaken to evaluate the initial prompts of open prompt style call-routing applications. Specifically, we examined how placement and phrasing of examples in the initial query affected caller responses and routing success. We looked at the comparative effectiveness of placing examples before and after the initial query and of phrasing these examples such that they promoted either a succinct structure in the form of a keyword or phrase, or a more complex but natural structure in the form of a question or statement. Findings indicate that examples encouraging a more natural structure, when presented prior to the initial query, result in significantly improved routing performance. We discuss this result in the context of using initial prompts to prime for desired structure in caller responses.     

基于对话框新闻稿处理程序的高级打印

在报社新闻稿件的处理过程中,对不同版本稿件的分类和打印是一项十分重要的工作。MFC提供的文档视图框架具有方便快捷的打印功能,我们通过对MFC源代码的深入探讨,提出了在对话框上用MFC实现打印功能的方法,并最终在新闻稿处理程序中实现了基于对话框的高级打印功能。