Attention models are widely used in Vision-language (V-L) tasks to perform the visual-textual correlation. Humans such a correlation with strong linguistic understanding of visual world. However, even best performing attention model V-L lacks high-level understanding, thus creating semantic gap between modalities. In this paper, we propose an mechanism - Linguistically-aware (LAT) that leverage...

BACKGROUND People who have cancer increasingly seek second opinions. Yet, we know little about what motivates patients to seek them and how beneficial they are. Uncertainty-experienced by patients or communicated by physician and patient-may be crucial throughout the second opinion process. OBJECTIVE This study sought to investigate (1) how uncertainty influences men with prostate cancer to s...

BACKGROUND Sarcomas represent a heterogeneous group of tumors. Accurate determination of histological diagnosis and prognostic factors is critical for the delineation of treatment strategies. The contribution of second opinion (SO) to improve diagnostic accuracy has been suggested for sarcoma but has never been established in population-based studies. METHODS Histological data of patients dia...

While much recent progress has been made in research on fact-based question answering, our work aims to extend question-answering research in a different direction ─ to handle multiperspective question-answering tasks, i.e. question-answering tasks that require an ability to find and organize opinions in text. This paper proposes an approach to multi-perspective question answering that views th...

Extracting opinion expressions from text is usually formulated as a token-level sequence labeling task tackled using Conditional Random Fields (CRFs). CRFs, however, do not readily model potentially useful segment-level information like syntactic constituent structure. Thus, we propose a semi-CRF-based approach to the task that can perform sequence labeling at the segment level. We extend the o...

The popularity of the user generated content, such as Twitter, has made it a rich source for the sentiment analysis and opinion mining tasks. This paper presents our study in automatically building a training corpus for the sentiment analysis on Indonesian tweets. We start with a set of seed sentiment corpus and subsequently expand them using a classifier model whose parameters are estimated us...

To compare the cortical dynamics of different oculomotor tasks, EEG and eye movements were recorded in 21 volunteers. Using a comprehensive approach, subjects were asked to perform saccadic tasks, which included a saccadic eye movement to a peripheral target (prosaccadic), a movement to the opposite side (antisaccadic), or maintain the gaze fixed (no-go). In mixed trials, prosaccadic, antisacca...

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...

In 2002, Serge Galam designed a model of a minority opinion spreading. The effect is expected to lead a conservative minority to prevail if the issue is discussed long enough. Here we analyze the marriage gap, i.e. the difference in voting for Bush and Kerry in 2004 between married and unmarried people. It seems possible to interpret this marriage gap in terms of the Galam model.

In this paper, we introduce our system, CopeOpi, for analyzing opinionated information in NTCIR-7 MOAT task’s document collections. We participated in all tasks except opinion target extraction and submitted three runs for both simplified and traditional Chinese sides. For opinion extraction task, our algorithm was based on the bag-ofcharacter methods proposed in NTCIR-6 and considered morpholo...