This paper describes two new features of the BRIDJE system for cross-language information access. The first feature is the partial disambiguation function of the Bi-directional Retriever, which can be used for search request translation in cross-language IR. Its advantage over a “black-box” machine translation approach is consistent across five test collections and across two language permutati...

due to the increasing growth of digital content on the internet and social media, sentiment analysis problem is one of the emerging fields. this problem deals with information extraction and knowledge discovery from textual data using natural language processing has attracted the attention of many researchers. construction of sentiment lexicon as a valuable language resource is a one of the imp...

Anticipation of per-pixel semantics in a future unobserved frame is also known as dense semantic forecasting. State-of-the-art methods are based on single-level regression subsampled abstract representation recognition model. However, cannot account for skip connections from the backbone to upsampling path. We propose address this shortcoming by warping shallow features observed images with ups...

Video semantic segmentation is active in recent years benefited from the great progress of image segmentation. For such a task, per-frame generally unacceptable practice due to high computation cost. To tackle this issue, many works use flow-based feature propagation reuse features previous frames. However, optical flow estimation inevitably suffers inaccuracy and then causes propagated distort...

Generalized zero-shot learning (GZSL) is a technique to train deep model identify unseen classes using the attribute. In this paper, we put forth new GZSL that improves classification performance greatly. Key idea of proposed approach, henceforth referred as semantic feature extraction-based (SE-GZSL), use containing only attribute-related information in relationship between image and doing so,...