Encoder-decoder
Japanese Text Normalization with Encoder Decoder Model
... the encoder-decoder model has been shown its effectiveness in large datasets, it is much less effective for small datasets such as low-resource languages (Barret et ...the encoder-decoder ...
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Learning compact graph representations via an encoder-decoder network
... More recently, various methods have been proposed that generalize over previous approaches. These methods learn data-driven graph representations using deep learning approaches (Duvenaud et al. 2015; Yanardag and ...
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Attention free encoder decoder for morphological processing
... attention-free encoder- decoder ...the decoder to keep track of the focused-on character in the input ...the decoder must produce an output sequence d 0 which is composed of three specialized ...
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Encoder Decoder Shift Reduce Syntactic Parsing
... contains words directly, while for constituent pars- ing, the stack contains constituent nodes, which cover spans of words in a sentence. In addition, the set of transition actions for building dependency and constituent ...
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Exemplar Encoder Decoder for Neural Conversation Generation
... Exemplar Encoder-Decoder (EED) architecture that makes use of similar conversations, fetched from an index of training ...the decoder in the EED model, to learn the importance of train- ing ...
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Encoder decoder models for latent phonological representations of words
... that encoder- decoder models are a promising framework for composing segment-based representations of ...that encoder-decoder models’ usefulness extends beyond that of many exist- ing ...
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An Encoder decoder Approach to Predicting Causal Relations in Stories
... Table 6 shows the results for these datasets com- pared alongside the ROCStories result from above (ROCStories-Full), listed in ascending order of the number of training pairs they contain. As shown, none of the other ...
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SHAPED: Shared Private Encoder Decoder for Text Style Adaptation
... shared encoder-decoder baseline, as well as the performance of private models (where one in- dividual, per-publisher model is trained for each in-domain ...
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Length bias in Encoder Decoder Models and a Case for Global Conditioning
... In this paper we expose a margin discrepancy in the training loss of encoder-decoder models to ex- plain the above problems in its predictions. We show that the training loss of ED network often under- ...
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On the Properties of Neural Machine Translation: Encoder–Decoder Approaches
... In this paper, we concentrate on analyzing the direct translation performance, as in (Sutskever et al., 2014), with two model configurations. In both models, we use an RNN with the gated hidden unit (Cho et al., 2014), ...
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Encoder Decoder Methods for Text Normalization
... Text normalization is the task of mapping non-canonical language, typical of speech transcrip- tion and computer-mediated communication, to a standardized writing. It is an up-stream task necessary to enable the ...
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Performance Improvement by using a Concatenated Levels of Encoding in Wavelet based OFDM Systems
... Channel encoder used in the communication system to detect and correct the bit errors due to the channel impairments at the ...the encoder/decoder types that detect and correct large numbers of bits ...
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Decoupling Encoder and Decoder Networks for Abstractive Document Summarization
... To summarise, we proposed decoupling the encoder–decoder architecture as is traditionally used in sequence-to-sequence problems. We tested the decoupled system on news title genera- tion, and found that it ...
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Improve the Performance of OFDM Based Wave by Applying A Series of Sequential Levels of Encryption / Decryption
... Channel encoder used in the communication system to detect and correct the bit errors due to the channel impairments at the ...the encoder/decoder types that detect and correct large numbers of bits ...
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Implementation of RS-CC Encoder and Decoder using MATLAB
... the decoder tool to also have a function of correcting the error that might occur during transmission Convolutional encoding with Viterbi decoding has been in use for many years in commercial satellite ...
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Fault Secure Encoder and Decoder for Nano Memory Applications
... In this proposed system, we introduce a fault-tolerant nano scale memory architecture which tolerates transient faults both in the storage unit and in the supporting logic (i.e., encoder, decoder ...
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OpenPOWER Architecture: A Case Study on Semantic Segmentation using ENet Model
... ENet demonstrated on different datasets gave the inferences values accordingly and were calculated to be accurate for practical applications. Inference time for a single input frame of varying resolution reports number ...
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A Purely End to End System for Multi speaker Speech Recognition
... sources, which generally ensures that different ut- terances are recognized for each speaker. Without this complementarity constraint, our direct multi- speaker recognition system could be susceptible to redundant ...
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Tutorial: De mystifying Neural MT
... Neural Statistical Machine Translation Neural Machine Translation Encoder Decoder Sequence-to-sequence learning: Encoder Sequence-to-sequence learning: Decoder Let’s use a simple NN for [r] ...
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Incorporating Source Syntax into Transformer Based Neural Machine Translation
... the encoder architecture; we re- view some such models ...RNN encoder with a tree- LSTM (Tai et ...convolutional encoder in combina- tion with an RNN decoder to translate from de- pendency ...
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