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The spread of true and false news online
A large-scale analysis of tweets reveals that false rumors spread further and faster than the truth, and false news was more novel than true news, which suggests that people were more likely to share novel information.
Life in the network: The coming age of computational social science: Science
Learning words from sights and sounds: a computational model
Computational Social Science
It is found that origination rates of marine bivalves increased significantly almost everywhere immediately after the K-Pg mass extinction event, and a distinct pulse of bivalve diversification in the early Cenozoic was concentrated mainly in tropical and subtropical regions.
Tweet2Vec: Learning Tweet Embeddings Using Character-level CNN-LSTM Encoder-Decoder
We present Tweet2Vec, a novel method for generating general-purpose vector representation of tweets. The model learns tweet embeddings using character-level CNN-LSTM encoder-decoder. We trained our…
Semiotic schemas: A framework for grounding language in action and perception
- D. Roy
- Computer ScienceArtif. Intell.
- 1 September 2005
Learning visually grounded words and syntax for a scene description task
- D. Roy
- Computer Science, LinguisticsComput. Speech Lang.
- 1 July 2002
Grounded Semantic Composition for Visual Scenes
The implementation of word level visually-grounded semantics and their embedding in a compositional parsing framework is described and how visual context influences the semantics of utterances is revealed.
The Human Speechome Project
The Human Speechome Project is an effort to observe and computationally model the longitudinal course of language development for a single child at an unprecedented scale, and will investigate possible language learning strategies used by children with an emphasis on early word learning.