Titlebook: Social Media Processing; 5th National Confere Yuming Li,Guoxiong Xiang,Mingwen Wang Conference proceedings 2016 Springer Nature Singapore P

vasospasm

Emotion Cause Extraction, A Challenging Task with Corpus Construction,otion category or emotion component of text. We focus on the emotion cause, a.k.a the reason or stimulant of an emotion. Since there is no open dataset available, the lack of annotated resources has limited the research in this area. Thus, we first built an annotated dataset for this task using SINA

abysmal

阻止

Individual Friends Recommendation Based on Random Walk with Restart in Social Networks,orks. In this paper, we design a novel friend recommendation method according to a new individual feature .. Intimacy degree reflects the degree of interaction between two users and further indicates how close two users pay attention to each other. Specifically, we first formally define this problem

Arroyo

Mumble

Word Representation on Small Background Texts,arning applications. Word representations in previous works were often trained on large-scale unlabeled texts. However, in some scenarios, large scale background texts are not available. Therefore, in this paper, we propose a novel word representation model based on maximum-margin to train word repr

micronized

Extracting Opinion Expression with Neural Attention,ackled by conditional random fields (CRFs). However CRF-based models usually need abundant hand-crafted features and require a lot of engineering effort. Recently deep neural networks are proposed to alleviate this problem. In order to extend neural-network-based models with ability to emphasize rel

Flirtatious

Topic Model Based Adaptation Data Selection for Domain-Specific Machine Translation,vantage of Adaptation data selection (Ada-selection) for enriching the corpora. Encouraged by the empirical finding that topic distribution is conductive to characterizing a distinctive domain, we propose to use topic model to improve Ada-selection. Based on a joint LDA approach, we incorporate topi

有危险

Early Detection of Promotion Campaigns in Community Question Answering,n information. Previous works mainly focus on identifying low-quality answers or detecting spam information in question-answer (QA) pairs. However, these works suffer from long delay since they all rely on the information of answers or answerers while questions have been displayed on the websites fo

conspicuous

轻而薄

,Discovering Region Features Based on User’s Comments,n-line discussion and interact within the network’s platform. By analyzing user comment from the same region, we can understand the implied region features and trending topics in that region. Region features can be categorized as an event or topic therefore it can be labeled based on the user’s comm