Results 231 to 240 of about 5,654,505 (287)
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Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics, 2019
In this work we present a new dataset of literary events—events that are depicted as taking place within the imagined space of a novel. While previous work has focused on event detection in the domain of contemporary news, literature poses a number of complications for existing systems, including complex narration, the depiction of a broad array of ...
Matthew Sims, Jong Ho Park, David Bamman
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In this work we present a new dataset of literary events—events that are depicted as taking place within the imagined space of a novel. While previous work has focused on event detection in the domain of contemporary news, literature poses a number of complications for existing systems, including complex narration, the depiction of a broad array of ...
Matthew Sims, Jong Ho Park, David Bamman
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2017 IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData), 2017
Social networks like twitter reveals a lot of what is going on around in a city. Posts and tweets of people visiting events, concerts or attending civil demonstrations are on the norm of social networks. By mining such data, social networks can reveal the hotspots of events or activities demonstrating the pulse of a Smart City in real time.
Borges, Julio +3 more
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Social networks like twitter reveals a lot of what is going on around in a city. Posts and tweets of people visiting events, concerts or attending civil demonstrations are on the norm of social networks. By mining such data, social networks can reveal the hotspots of events or activities demonstrating the pulse of a Smart City in real time.
Borges, Julio +3 more
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On integrating event definition and event detection
Knowledge and Information Systems, 2009We develop, in this paper, a representation of time and events that supports a range of reasoning tasks such as monitoring and detection of event patterns which may facilitate the explanation of root cause(s) of faults. We shall compare two approaches to event definition: the active database approach in which events are defined in terms of the ...
Nadim Obeid, Raj B. K. N. Rao
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Detecting Mutual Awareness Events
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2012It is quite common that multiple human observers attend to a single static interest point. This is known as a mutual awareness event (MAWE). A preferred way to monitor these situations is with a camera that captures the human observers while using existing face detection and head pose estimation algorithms.
Meir Cohen +3 more
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TsEDM: A two-steps event detection model for Chinese event detection
Journal of Information Science, 2023Event detection (ED) consists of two phases – trigger identification (TI) and trigger classification (TC). Traditional ED adopts a unified model to process the above two-stage tasks at once. We argue that there are certain differences in the contextual semantics required and the goals of these two phases in ED.
Zhihong Wang +3 more
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Anticipatory Event Detection for Bursty Events
2007Anticipatory Event Detection (AED) is a framework for monitoring and tracking important and relevant news events at a fine grain resolution. AED has been previously tested successfully on news topics like NBA basketball match scores and mergers and acquisitions, but were limited to a static event representation model.
Kuiyu Chang +4 more
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2007
Rare events detection is regarded as an imbalanced classification problem, which attempts to detect the events with high impact but low probability. Rare events detection has many applications such as network intrusion detection and credit fraud detection. In this paper we propose a novel online algorithm for rare events detection.
Junhua Zhao 0001 +2 more
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Rare events detection is regarded as an imbalanced classification problem, which attempts to detect the events with high impact but low probability. Rare events detection has many applications such as network intrusion detection and credit fraud detection. In this paper we propose a novel online algorithm for rare events detection.
Junhua Zhao 0001 +2 more
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Context Event Features and Event Embedding Enhanced Event Detection
2020 3rd International Conference on Algorithms, Computing and Artificial Intelligence, 2020Extracting valuable information from text has always been a hot point for research and event detection is an essential subtask of information extraction. Most existing methods of event detection only focus on sentence-level information and do not consider the correlation between different event types.
Xin Shi +4 more
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Event life time in detection of sequences of events
2015 IEEE International Conference on Industrial Technology (ICIT), 2015This paper addresses the use of events within discrete-event systems modeling formalisms, presenting the concept of event life time when enclosed in the detection of a specific behavior defined by sequences of events. This concept defines the time interval during which a macro-event is valid (a macro-event is an event computed as the result of a pre ...
Rogério Campos-Rebelo +2 more
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Detecting event anomalies in event-based systems
Proceedings of the 2015 10th Joint Meeting on Foundations of Software Engineering, 2015Event-based interaction is an attractive paradigm because its use can lead to highly flexible and adaptable systems. One problem in this paradigm is that events are sent, received, and processed nondeterministically, due to the systems’ reliance on implicit invocation and implicit concurrency.
Gholamreza Safi +3 more
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