WebIEEE Transactions on Knowledge and Data Engineering, 28(12):3126-3139, 2016. [6] Yuyang Gao and Liang Zhao. Incomplete label multi-task ordinal regression for spatial event scale forecasting. In AAAI Conference on Artificial Intelligence, pages 2999-3006, 2024. [7] Mark Granroth-Wilding and Stephen Clark. Web2008) and (Granroth-Wilding and Clark 2016). In particular, we address two challenges in this task: (1) An event chain is a sequence of events and events can be more sparse than words in sentences. The challenge is how to represent event chains accurately. (2) Individual events within the chain have semantic relations with the subsequent events.
EventBERT: A Pre-Trained Model for Event Correlation Reasoning
http://mason.gmu.edu/~lzhao9/projects/event_forecasting_tutorial_KDD WebGranroth-Wilding and Clark 2016) both proposed a neural network model that composes event embeddings with their predicate, dependency, and argument information (subject, object, and prepositional object), either using a feed-forward architecture defined over pairs of events, or using a Recur-rent architecture (in this case an LSTM) to capture ... future-focused meaning
MERL: Multimodal Event Representation Learning in …
WebGranroth-Wilding and Clark (2016) and Modi (2016) concatenated the embed-dings of subject, predicate and object and fed them into a neural network to generate event embeddings. Ding et al. (2016) proposed to incorporate a knowledge graph into a tensor-based event embedding model. Pichotta and Mooney (2016) frame event prediction as a … WebMooney, 2016; Granroth-Wilding and Clark, 2016) from scratch, we instead begin from an existing story and iteratively edit it towards a thematically novel but –most crucially– semantically compatible story. This approach allows us to reuse much, but not all, of the syntactic and semantic structure of the WebMay 25, 2024 · Mark Granroth-Wilding and Stephen Clark. 2016. What happens next? Event prediction using a compositional neural network model. In Proceedings of AAAI. 2727--2733. Google Scholar; Berk Gulmezoglu, Ahmad Moghimi, Thomas Eisenbarth, and Berk Sunar. 2024. Fortuneteller: Predicting microarchitectural attacks via unsupervised … giving worldventure.com