lighting plays a key role in night escapes of urban spaces, in a way that it can be effective in giving identity to them. by considering this importance and inexistence of a process for composing urban lighting strategy made this study to be conducted by the objective of providing process for compilation of context-oriented lighting strategy in urban spaces. reaching a suitable solution for lig...

Aspect-based sentiment analysis (ABSA) aims to predict the expressed in a review with respect given aspect. The core of ABSA is model interaction between context and aspect extract aspect-related information. In prior work, attention mechanisms dependency graph networks are commonly adopted capture relations And weighted sum hidden states used as final representation fed classifier. However, in...

Along with the proliferation of online digital map and locationbased service, very large POI (point of interest) databases have been constructed where a record corresponds to a POI with information including name, category, address, geographical location and other features. A basic spatial query in POI database is POI retrieval. In many scenarios, a user cannot provide enough information to pin...

Ever since its inception, sentiment analysis has relied heavily on methods that use words as their basic unit. Even today, such methods deliver top performance. This way of representing data for sentiment analysis is known as the clue model. It offers practical advantages over more sophisticated approaches: It is easy to implement and statistical models can be trained efficiently even on large ...

Product feature mining is a key subtask in fine-grained opinion mining. Previous works often use syntax constituents in this task. However, syntax-based methods can only use discrete contextual information, which may suffer from data sparsity. This paper proposes a novel product feature mining method which leverages lexical and contextual semantic clues. Lexical semantic clue verifies whether a...

Unsupervised domain adaptation (UDA) aims to adapt a model of the labeled source an unlabeled target domain. Existing UDA-based semantic segmentation approaches always reduce shifts in pixel level, feature and output level. However, almost all them largely neglect contextual dependency, which is generally shared across different domains, leading less-desired performance. In this paper, we propo...

Generating high-quality annotations for object detection and recognition is a challenging important task, especially in relation to safety-critical applications such as autonomous driving (AD). Due the difficulty of perception situations occlusion, degraded weather, sensor failure, objects can go unobserved unlabeled. In this paper, we present CLUE-AD, general-purpose method detecting labeling ...

introduction: mental sets are clues which are already coded and stored in memory, and retrieved when needed. the present study investigated the role of mental sets in solving anagram problems. methods: the design of this study is an experimental with repeated measurement design. the participants were 20 ma students and graduates chosen through voluntary sampling. each of them were required to u...