Artificial Neural Networks
Related Papers
LSTM Neural Reordering Feature for Statistical Machine Translation
Artificial neural networks are powerful mod- els, which have been widely applied into many aspects of machine translation, such as language modeling and translation mod- eling. Though notable improvements have …...
Sequential Short-Text Classification with Recurrent and Convolutional Neural Networks
Recent approaches based on artificial neural networks (ANNs) have shown promising re- sults for short-text classification. However, many short texts occur in sequences (e.g., sen- tences in a document or …...
Repeat before Forgetting: Spaced Repetition for Efficient and Effective Training of Neural Networks
AbstractWe present a novel approach for training artificial neural networks. Our approach is inspired by broad evidence in psychology that shows human learners can learn efficiently and effectively by increasing …...
Transfer Learning for Named-Entity Recognition with Neural Networks
Recent approaches based on artificial neural networks (ANNs) have shown promising results for named-entity recognition (NER). In order to achieve high performances, ANNs need to be trained on a large …...
Neural Network Acceptability Judgments
AbstractThis paper investigates the ability of artificial neural networks to judge the grammatical acceptability of a sentence, with the goal of testing their linguistic competence. We introduce the Corpus of …...
Modeling the Interaction Between Perception-Based and Production-Based Learning in Children’s Early Acquisition of Semantic Knowledge
AbstractChildren learn the meaning of words and sentences in their native language at an impressive speed and from highly ambiguous input. To account for this learning, previous computational modeling has …...