Patients choose to seek a second opinion in matters related to their health for a variety of reasons, and the total cost associated with these second opinion visits is estimated to be billions of dollars annually. Understanding the reasons behind second opinion self-referrals is key to improving patient satisfaction and reducing redundancy in delivered health care. This study represents a retro...

The opinion analysis task is a pilot study task in NTCIR-6. It contains the challenges of opinion sentence extraction, opinion polarity judgment, opinion holder extraction and relevance sentence extraction. The three former are new tasks, and the latter is proven to be tough in TREC. In this paper, we introduce our system for analyzing opinionated information. Several formulae are proposed to d...

the efficacy of genre-based approach to teaching writing has been regarded as an influential practice in l2 writing pedagogy (hyland, 2007). however, there is still gap between actual structures found in reading materials recommended as textbooks and discourse patterns recommended for l2 writing in efl contexts, the gap which would highlight the problems of genre and rhetorical patterns for tea...

Opinion retrieval aims to tell if a document is positive, neutral or negative on a given topic. Opinion extraction further identifies the supportive and the non-supportive evidence of a document. To evaluate the performance of technologies for opinionated tasks, a suitable corpus is necessary. This paper defines the annotations for opinionated materials. Heterogeneous experimental materials are...

The opinion analysis task is a pilot study task in NTCIR-6. It contains the challenges of opinion sentence extraction, opinion polarity judgment, opinion holder extraction and relevance sentence extraction. The three former are new tasks, and the latter is proven to be tough in TREC. In this paper, we introduce our system for analyzing opinionated information. Several formulae are proposed to d...

background and purpose:the tasks of faculty members and their weights particularly in integrated system of iran are not well defined. methods:to address this issue, in a comprehensive project, we explored all rules, regulations and officialdocuments in national level, collected the opinion of experts around the country using in-depthinterview and defined the weights of main tasks in a group dis...

Recent advances in machine learning, such as deep neural networks, have caused a huge boost in many different areas of artificial intelligence and robotics. These methods typically require a large corpus of well-prepared and labeled training data, which limits the applicability to robotics. In our opinion, a fundamental challenge in autonomous robotics is to design systems that are simple enoug...

Recent advances in machine learning, such as deep neural networks, have caused a huge boost in many different areas of artificial intelligence and robotics. These methods typically require a large corpus of well-prepared and labelled training data, which limits the applicability to robotics. In our opinion, a fundamental challenge in autonomous robotics is to design systems that are simple enou...

We present results of CLASSY’s submissions to TAC 2008 update and blog opinion summarization tasks. Additionally, we evaluate and analyze many of the results for all of the systems participating in each of these tasks.

In this paper we describe our system, experiments and results from our participation in the Blog Track at TREC 2008. Dublin City University participated in the adhoc retrieval, opinion finding and polarised opinion finding tasks. For opinion finding, we used a fusion of approaches based on lexicon features, surface features and syntactic features. Our experiments evaluated the relative usefulne...