The northeast region of India is one of the world's most significant biodiversity hotspots. One of the richest bird areas in India, it is an important route for migratory birds and home to many endemic bird species. This paper describes a literature-based dataset of species occurrences of birds of northeast India. The occurrence records documented in the dataset are distributed across eleven st...

References to documents in the legal domain usually follow patterns containing temporal information in different forms (e.g. ’Directive 2001/29’). These references mislead algorithms detecting pure temporal references, and false positives occur in named entity recognition algorithms searching dates or intervals. This paper presents methods and techniques to identify these references, applied to...

aim : the aim of this study was to provide quantitative estimations of the burden of death in term of years of life lost (yll) due to colorectal cancer (crc) in iran and a temporal trend analysis. background : colorectal cancer is the third most common cause of cancer-related deaths in the world. yll is a tool for quantifying the burden of disease according to mortality rates. the aim of this s...

Few attempts have been made to investigate the utility of temporal reasoning within machine learning frameworks for temporal relation classification between events in news articles. This paper presents three settings where temporal reasoning aids machine learned classifiers of temporal relations: (1) expansion of the dataset used for learning; (2) detection of inconsistencies among the automati...

In this proposal, we describe the forthcoming TempEval-3 task which is currently in preparation for the SemEval-2013 evaluation exercise. The aim of TempEval is to advance research on temporal information processing. TempEval-3 follows on from previous TempEval events, incorporating: a three-part task structure covering event, temporal expression and temporal relation extraction; a larger datas...

Temporal relational reasoning, the ability to link meaningful transformations of objects or entities over time, is a fundamental property of intelligent species. In this paper, we introduce an effective and interpretable network module, the Temporal Relation Network (TRN), designed to learn and reason about temporal dependencies between video frames at multiple time scales. We evaluate TRNequip...

Temporal Action Segmentation (TAS) has achieved great success in many fields such as exercise rehabilitation, movie editing, etc. Currently, task-driven TAS is a central topic human action analysis. However, motion-centered TAS, an important topic, little researched due to unavailable datasets. In order explore more models and practical applications of we introduce Motion-Centered Figure Skatin...