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NIPS
2000
15 years 7 months ago
A Neural Probabilistic Language Model
A goal of statistical language modeling is to learn the joint probability function of sequences of words in a language. This is intrinsically difficult because of the curse of dim...
Yoshua Bengio, Réjean Ducharme, Pascal Vinc...
AI
2005
Springer
15 years 6 months ago
Semiotic schemas: A framework for grounding language in action and perception
A theoretical framework for grounding language is introduced that provides a computational path from sensing and motor action to words and speech acts. The approach combines conce...
Deb Roy
EMNLP
2010
15 years 4 months ago
Practical Linguistic Steganography Using Contextual Synonym Substitution and Vertex Colour Coding
Linguistic Steganography is concerned with hiding information in natural language text. One of the major transformations used in Linguistic Steganography is synonym substitution. ...
Ching-Yun Chang, Stephen Clark
FLAIRS
2011
14 years 9 months ago
Evaluating Semantic Metrics on Tasks of Concept Similarity
This study presents an evaluation of WordNet-based semantic similarity and relatedness measures in tasks focused on concept similarity. Assuming similarity as distinct from relate...
Hansen Andrew Schwartz, Fernando Gomez
ICML
2008
IEEE
16 years 7 months ago
A unified architecture for natural language processing: deep neural networks with multitask learning
We describe a single convolutional neural network architecture that, given a sentence, outputs a host of language processing predictions: part-of-speech tags, chunks, named entity...
Ronan Collobert, Jason Weston