Sequence learning
Non sentential Question Resolution using Sequence to Sequence Learning
... as sequence to sequence learning, maps a variable length input sequence to a variable length output ...as sequence to sequence ...input sequence by concatenating NSU ...
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Sentence-Wise Smooth Regularization for Sequence to Sequence Learning
... The BLEU scores are listed in Table 1. As can be seen, the curriculum learning method does not significantly out- perform the MLE baseline. This result suggests that only focusing on hard instances and not meeting ...
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A sequence learning impairment in dyslexia? It depends on the task
... the sequence learning effects obtained from the SRT task (Howard et ...that sequence learning may be reflective of the extent to which phoneme-grapheme mappings are consolidated when ...
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A sequence learning impairment in dyslexia? It depends on the task
... this sequence learning effect by the end of the training ...SRT sequence learning effect was more robust across the week of the experiment for the dyslexic group than for the typical controls, ...
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Motor Sequence Learning in the Brain: The Long and Short of It
... the learning of a sequence occurs via spatial and motor mechanisms independently and each system has its own input- output (spatial or motor ...a sequence means that the two parallel sequence ...
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Lemmatisation for under-resourced languages with sequence-to-sequence learning: A case of Early Irish
... character-level sequence-to-sequence learning method that proves efficient to overcome data ...character-level sequence-to-sequence model trained during 34,000 iterations reached the ...
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Self Regulated Interactive Sequence to Sequence Learning
... tive sequence-to-sequence learning, with a self- regulation module at its core that learns which type of feedback to query from a human ...models learning from a single feedback type and ...
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Generating Natural Answers by Incorporating Copying and Retrieving Mechanisms in Sequence to Sequence Learning
... In this paper, we propose an end-to-end system to generate natural answers through incorporating copying and retrieving mechanisms in sequence- to-sequence learning. Specifically, the sequences of ...
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Bandit Structured Prediction for Neural Sequence to Sequence Learning
... many sequence-to-sequence learning tasks, the resulting models suffer from exposure bias, since they learn to generate output words based on the history of given reference words, not on their own ...
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Attention Strategies for Multi Source Sequence to Sequence Learning
... multi-source sequence-to-sequence learning remains a relatively unexplored area, despite its use- fulness in tasks that incorporate multiple source languages or ...source sequence, flat and ...
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The effects of recurring stimuli on sequence learning in the discrete sequence production task
... the learning of sequences from the 1950s onwards. The learning of motor sequences makes us more flexible and enables us to prepare for actions while automatically executing an earlier motor ...Furthermore, ...
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Observational sequence learning
... observational sequence learning on a measure of procedural knowledge and experiments ...observational sequence learning on a measure of declarative ...observational sequence ...
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Unsupervised Pretraining for Sequence to Sequence Learning
... We presented a novel unsupervised pretraining method to improve sequence to sequence learning. The method can aid in both generalization and op- timization. Our scheme involves pretraining two ...
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Efficient Sequence Learning with Group Recurrent Networks
... efficient sequence learning which consists of group recur- rent layers and representation rearrangement lay- ...the sequence and the hidden states into disjoint groups, and do recurrent ...
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Sequence to Sequence Learning with Neural Networks
... to sequence learning that makes minimal assumptions on the sequence ...input sequence to a vector of a fixed dimensionality, and then another deep LSTM to decode the target sequence ...
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The influence of motor sequence learning on Stroop effect
... perceptual sequence, expressed in terms of the color arrangements of the Stroop words ...the sequence learning task, the order of colors was determined by sequential ...to sequence ...
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Improving Semantic Relevance for Sequence to Sequence Learning of Chinese Social Media Text Summarization
... Abstractive text summarization has achieved suc- cessful performance thanks to the sequence-to- sequence model (Sutskever et al., 2014) and at- tention mechanism (Bahdanau et al., 2014). Rush et al. (2015) ...
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The Effect of Recurring Stimuli on Sequence Learning
... of learning are involved in learning motor sequences, which are explicit and implicit learning of ...Explicit learning refers to acquiring knowledge and being aware of the knowledge and its ...
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Learning Multi-Task Communication with Message Passing for Sequence Learning
... multi-task learning methods have also been proposed to model the relationships between ...complex learning strategies and introduce a priori information between different tasks, which are usually not ...
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Neural Sequence to sequence Learning of Internal Word Structure
... Learning internal word structure has re- cently been recognized as an important step in various multilingual processing tasks and in theoretical language com- parison. In this paper, we present a neural ...
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