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Found 7 papers, 2 papers with code
Avicenna: a challenge dataset for natural language generation toward commonsense syllogistic reasoning
The Avicenna corpus was developed as a benchmark for syllogistic NLG.
A hybrid entity-centric approach to Persian pronoun resolution
In this paper, the authors develop a Persian coreference corpus called Mehr in the form of 400 documents.
Review of coreference resolution in English and Persian
Research in this field is divided into coreference resolution and anaphora resolution.
The Neural Correlates of Image Texture in the Human Vision Using Magnetoencephalography
The result of this study demonstrates that hierarchical structure in the processing of these four texture descriptors in the human brain with the order of contrast, homogeneity, energy, and correlation.
Back to the Future: Predicting Traffic Shockwave Formation and Propagation Using a Convolutional Encoder-Decoder Network
This study proposes a deep learning methodology to predict the propagation of traffic shockwaves.
The effect of scene context on weakly supervised semantic segmentation
More specifically, some objects which are commonly seen in one specific scene (e. g. 'train' typically is seen on 'railroad track') are much more likely to be confused.
Weakly supervised Semantic Segmentation
Weakly-Supervised Semantic Segmentation
A Correlation Based Feature Representation for First-Person Activity Recognition
The per-frame (per-segment) extracted features are considered as a set of time series, and inter and intra-time series relations are employed to represent the video descriptors.
