Newest 'sequence-to-sequence' Questions

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19 views

Feeding XLM-R embeddings to neural machine translation?

I’m very new to the field of deep learning. My aim is to make a translation between Catalan to Catalan Sign Language. The grammar of the two languages is different Input: He sells food. Output (...

asked Mar 18 at 8:19

NLP Dude

212 bronze badges

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11 views

Multiple time series sequence prediction for multiple multivariate time series

My question is somehow similar to this question, but not satisfied with the answer. I have 100 samples, each sample consists of ...

time-series lstm sequence-to-sequence sequential-pattern-mining

asked Mar 17 at 13:24

Rajan

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1answer

21 views

Transformer seq2seq model and loading embeddings from XLM-RoBERTa

Is it possible to feed embeddings from XLM- RoBERTa to transformer seq2seq model? I'm working on NMT that translates verbal language sentences to sign language sentences (e.g Input: He sells food. ...

neural-network pytorch sequence-to-sequence machine-translation transformer

asked Mar 11 at 18:01

NLP Dude

212 bronze badges

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14 views

Seq2Seq for sentence correction

I have a task in hand where I get a dirty formed sentence and need to correct it. Examples are, "StackOverflow best question answering platform" to be converted to "StackOverflow is best question ...

nlp autoencoder sequence-to-sequence machine-translation

asked Mar 8 at 8:45

Sandeep Bhutani

4461 silver badge12 bronze badges

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vote

1answer

12 views

Sequence labeling with partially known labels

I am working on a sequence labeling task where, based on experience, many of the labels of a given input sequence can be reliably extracted with a simple rule-based approach. For example, considering ...

sequence sequence-to-sequence

asked Mar 8 at 7:46

zepp.lee

1112 bronze badges

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18 views

Seeking your advice on XLM-R for NMT

I want to use XLM-R for neural machine translation b/n the same low resource language? For example: Input-> He sells food(in Catalan) Output-> Food he sells(in Catalan) Anyone having code example/...

neural-network deep-learning sequence-to-sequence machine-translation transformer

asked Mar 7 at 10:31

NLP Dude

212 bronze badges

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2answers

22 views

Which input to use when generating a new sequence

I want to use sequence-to-sequence architecture to generate sequences. My data has such structure ...

rnn recurrent-neural-net sequence sequence-to-sequence

asked Mar 4 at 14:20

Kenenbek Arzymatov

1133 bronze badges

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47 views

How can I finetune XLM-R for neural machine translation between the same language(Catalan to Catalan-with different grammar structure))?

Can I fine-tune XLM-R to do something similar to https://www.guru99.com/seq2seq-model.html (encoder-decoder architecture or any other way that perform good in small dataset - around 1000) For example: ...

neural-network deep-learning sequence-to-sequence machine-translation

asked Feb 27 at 5:19

NLP Dude

212 bronze badges

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vote

1answer

142 views

Can I fine-tune BERT, ELMO or XLnet for Seq2Seq neural machine translation?

I'm working on neural machine translator that translates English sentences to American sign language sentences(e.g below). I've a quite small dataset - around 1000 sentence pairs. I'm wondering if it ...

machine-learning deep-learning bert sequence-to-sequence machine-translation

asked Feb 24 at 8:40

NLP Dude

212 bronze badges

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143 views

Is it possible feed BERT to seq2seq encoder/decoder NMT (for low resource language)?

I'm working on NMT model which the input and the target sentences are from the same language (but the grammar differs). I'm planning to pre-train and use BERT since I'm working on small dataset and ...

machine-learning deep-learning bert sequence-to-sequence machine-translation

asked Feb 22 at 1:54

NLP Dude

212 bronze badges

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votes

2answers

37 views

How are Q, K, and V Vectors Trained in a Transformer Self-Attention?

I am new to transformers, so this may be a silly question, but I was reading about transformers and how they use attention, and it involves the usage of three special vectors. Most articles say that ...

machine-learning nlp sequence-to-sequence transformer attention-mechanism

asked Feb 17 at 9:55

Arctic_Hen7

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1answer

34 views

Methods for learning with noisy labels

I am looking for a specific deep learning method that can train a neural network model with both clean and noisy labels. More precisely, I would like this method to be able to leverage noisy data as ...

deep-learning nlp sequence-to-sequence noise

asked Feb 16 at 10:13

Mathias Müller

1215 bronze badges

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10 views

How can I do a sequence to sequence model (RNN / LSTM) with Keras with fixed length data?

What I'm trying to do seems so simple, but I can't find any examples online. First, I'm not working in language, so all of the embedding stuff adds needless ...

keras tensorflow lstm rnn sequence-to-sequence

asked Feb 14 at 14:03

Shamoon

656 bronze badges

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votes

2answers

65 views

Sentences language translation with neural network, with a simple layer structure (if possible sequential)

Context: Many language sentences translation systems (e.g. French to English) with neural networks use a seq2seq structure: "the cat sat on the mat" -> [Seq2Seq ...

neural-network keras lstm sequence-to-sequence machine-translation

asked Feb 12 at 11:16

Basj

1701 silver badge14 bronze badges

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vote

1answer

31 views

Answer to Question

Looking for a system which can generate answers to questions. Most systems and blogs posted on internet are on Question to answer but not on answer to question or paraphrasing or keyword to questions. ...

nlp sequence-to-sequence question-answering

asked Dec 21 '19 at 15:31

Sandeep Bhutani

4461 silver badge12 bronze badges

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0answers

550 views

SymbolicException: Inputs to eager execution function cannot be Keras symbolic tensors

I am writing Encoder-Decoder architecture with Bahdanau Attention using tf.keras with TensorFlow 2.0. Below is my code This is working with TensorFlow 1.15 but getting the error in 2.0. you can check ...

deep-learning tensorflow recurrent-neural-net sequence-to-sequence attention-mechanism

asked Dec 8 '19 at 17:29

Uday

1366 bronze badges

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1answer

606 views

How can I feed BERT to neural machine translation?

I am trying to feed the input and target sentences to an NMT model, I am trying to use BERT here, But I don't have any idea how ...

keras tensorflow sequence-to-sequence bert machine-translation

asked Dec 6 '19 at 11:50

Hamed

214 bronze badges

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0answers

44 views

Weight matrices in transformers

I am trying to understand the transformer architecture. I am aware that the encoder/decoder contains multiple stacked self attention layers. Further each layer contains multiple heads. For example ...

sequence-to-sequence bert machine-translation transformer attention-mechanism

asked Dec 5 '19 at 10:34

Sahil

895 bronze badges

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1answer

233 views

Any good Implementations of Bi-LSTM bahdanau attention in Keras?

From past few weeks I'm trying to learn sequence to sequence machine translation modelling but I couldn't find any good examples/tutorials with bahdanau attention implemented. I did come across a ton ...

deep-learning keras sequence-to-sequence language-model attention-mechanism

asked Dec 2 '19 at 21:22

user_12

2256 bronze badges

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0answers

8 views

Output of a seq2seq network

I've created a seq2seq lstm that uses word embeddings, following the tutorial in tutorial , but I'm having some problems understanding the output, which is along these lines: ...

lstm word-embeddings sequence-to-sequence

asked Dec 2 '19 at 10:51

Joao Diogo

31 bronze badge

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vote

0answers

27 views

Improving Performance of LSTM for time series prediction

My data consists of two features and a set of time series data labeled as "bookings". I have 1056 data point in the times series, for which I have two features for each. The data size is 1056x3. My ...

keras lstm rnn sequence-to-sequence

asked Nov 26 '19 at 9:57

HaneenSu

534 bronze badges

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0answers

148 views

Adapting Pytorch tutorial “NMT from Scratch…” for dynamic RNN

I have taken the code from the tutorial and attempted to modify it to include bi-directionality and any arbitrary numbers of layers for GRU. Link to the tutorial which uses uni-directional, single ...

neural-network deep-learning lstm pytorch sequence-to-sequence

asked Nov 18 '19 at 15:41

Dean

11 bronze badge

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0answers

22 views

two different attention methods for seq2seq

I see two different ways of applying attention in seq2seq: (a) the context vector (the weighted sum of encoder hidden states) fed into the output softmax, as shown in the diagram below. The diagram ...

sequence-to-sequence attention-mechanism

asked Nov 5 '19 at 2:44

DSKim

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44 views

Neural Network for text generation

I'm new into ML and NN and I would like to figure out what is the best way to solve this (initially little) problem. Suppose i have a {number} in input and i want as output the phrase "The number in ...

neural-network sequence-to-sequence nlg

asked Nov 4 '19 at 8:46

rivamarco

1012 bronze badges

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0answers

36 views

What's the meaning of having a UNK token for out of vocabulary words during decoding?

Adding a UNK token to the vocabulary is a conventional way to handle oov works in tasks of NLP. It is totally understandable to have it for encoding, but what's the ...

neural-network nlp sequence-to-sequence

asked Oct 25 '19 at 23:34

Yu Gu

1012 bronze badges

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0answers

14 views

How to create a seq2seq without specifying a fixed decoder length?

Based on the model presented in this answer: ...

python deep-learning keras lstm sequence-to-sequence

asked Oct 18 '19 at 17:48

user2182857

1354 bronze badges

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67 views

Scheduled Sampling in Keras

Im wondering how scheduled sampling (maybe together with curriculum learning) as described in this paper [https://arxiv.org/abs/1506.03099] could be implemented in keras. Lets assume a simple ...

keras sequence-to-sequence

asked Oct 11 '19 at 14:31

Simon Krannig

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1answer

35 views

How can I build a seq2seq model , which is topic aware

I have developed a chatbot, which is basically a seq2seq LSTM network. Which can generate text based on input text. But the problem I am having right now is it is not topic aware. As an example : ...

keras lstm sequence-to-sequence

asked Oct 1 '19 at 12:45

Mithun Sarker Shuvro

2632 silver badges6 bronze badges

0

votes

1answer

7 views

Confusion about Decoder labels for training seq-to-seq models

So in seq-to-seq models for say NMT, the decoder is a sequence model for the right-shifted intended output. My question is, during training, are the inputs and outputs of the decoder supposed to be ...

rnn sequence-to-sequence

asked Aug 5 '19 at 22:57

user1893354

1835 bronze badges

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vote

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154 views

Why isnt my seq2seq model reconising what the <END> tag is?

I am making a seq2seq chatbot with the help of this guide: https://medium.com/predict/creating-a-chatbot-from-scratch-using-keras-and-tensorflow-59e8fc76be79 . I set up the model and data processing ...

python neural-network keras tensorflow sequence-to-sequence

asked Jul 21 '19 at 21:56

Dup Dup

211 bronze badge

0

votes

0answers

17 views

Encoding numbers and words

I am fairly new to seq2seq models in nlp and just really learned about them. Anyway, in many of the examples, I have seen there has been to approaches to providing a model with data. One in which is ...

machine-learning nlp sequence-to-sequence

asked Jul 21 '19 at 20:05

BoredPerson

31 bronze badge

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0answers

119 views

Test case generation from user stories using NLP and NLG

I have an existing database with User stories (with multiple text fields like Description with Use cases, acceptance criteria etc) and corresponding test cases with steps for each test case. I am ...

nlp sequence-to-sequence nlg

asked Jul 16 '19 at 4:41

sandy

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26 views

Which algorithm to use for path to prescription?

I am working on a business problem in the commercial pharma industry. In the pharma industry, we have medical representatives (Reps) selling drugs to health care providers (HCPs). They frequently ...

deep-learning lstm reinforcement-learning sequence-to-sequence

asked Jul 12 '19 at 8:58

Rahul Poddar

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90 views

Error propagation in Time series forecast with many-to-many multi-steps RNN/LSTM

I am trying to do a many-to-many time series forecast, which features an encoder-decoder model to predict with variable input and fixed prediction period. In my case, I want to predict for the future ...

deep-learning time-series lstm forecast sequence-to-sequence

asked Jun 20 '19 at 7:19

Le0

11 bronze badge

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votes

0answers

21 views

Deep Learning - Predict the relative order of data

I am facing a problem in which i want to predict the order of data. I was searching for research papers, however i do not know how this problem is named in academia. I encountered the following well ...

deep-learning classification sequence-to-sequence

asked Jun 19 '19 at 15:15

Chocolate

1011 bronze badge

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1answer

44 views

Seq2Seq Model training: Encoder vs. Decoder

Can someone point me to an article which explains how the model training is done in Seq2Seq? I know "Teacher Forcing" is used but what I found so far hasn't been detailed enough. What I am most ...

sequence-to-sequence

asked Jun 14 '19 at 16:45

kee

1435 bronze badges

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vote

1answer

2k views

IndexError: list index out of range

I'm implementing a sequence-2-sequence model with RNN-VAE architecture, and I use an attention mechanism. I have problem in the decoder part. I'm struggling with this error: IndexError: list index ...

python keras tensorflow autoencoder sequence-to-sequence

asked May 2 '19 at 21:08

Kikio

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303 views

ValueError: Dimensions must be equal, but are 256 and 12 for 'attention_layer/MatMul_1' (op: 'MatMul') with input shapes: [?,256], [12,256]

I'm working on a sequence-to-sequence approach using LSTM and a VAE with an attention mechanism. ...

lstm sequence-to-sequence attention-mechanism vae

asked Apr 29 '19 at 12:23

Kikio

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2

votes

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670 views

ValueError: Cannot convert a partially known TensorShape to a Tensor: (?, 256)

I'm working on a sequence to sequence approach using LSTM and a VAE with an attention mechanism. ...

tensorflow lstm sequence-to-sequence attention-mechanism vae

asked Apr 28 '19 at 23:24

Kikio

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23 views

Strategy for “forcing” number of labels in seq2seq predictions with Keras?

I'm trying to train a seq2seq model that for every timestep in a given timeseries sample will output 1 of 6 possible labels. Furthermore, the training data is constructed in such a way that Each ...

neural-network keras time-series recurrent-neural-net sequence-to-sequence

asked Apr 25 '19 at 11:23

komodovaran_

1235 bronze badges

0

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0answers

34 views

What encoding to use for my musical vectors?

I'm trying to build a music recommendations system using an encoder-decoder sequence-to-sequence architecture using keras. My dataset comprises of playlists containing songs represented as a 13-...

machine-learning python keras recurrent-neural-net sequence-to-sequence

asked Apr 7 '19 at 6:36

FusRhoDa4897

11 bronze badge

2

votes

1answer

62 views

Working ofLSTM with multiple Units - NER

I am trying to understand working of LSTM networks and kind of not clear about how different neurons in a cell interact each other. I had a look at a similar question, but still not clear about few ...

deep-learning lstm recurrent-neural-net named-entity-recognition sequence-to-sequence

asked Apr 4 '19 at 23:47

B.K

233 bronze badges

1

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0answers

26 views

Adding context in a sequence to sequence problem

The encoder of a seq2seq model is meant to generate a conditioning context for the decoder, as mentioned here A RNN layer (or stack thereof) acts as "encoder": it processes the input sequence and ...

time-series lstm recurrent-neural-net sequence-to-sequence

asked Apr 1 '19 at 11:17

ignatius

1,2582 silver badges17 bronze badges

3

votes

1answer

2k views

One-hot encode multi-class multi-label sequences

Suppose I want to build a timeseries where each timestep is represented by a categorical array: the encoded sequences look like [[2, 0, 5],[3, 1, 4],..] and each ...

time-series encoding sequence-to-sequence

asked Feb 26 '19 at 12:32

ginevracoal

1738 bronze badges

1

vote

0answers

30 views

Initialising states in a multilayer sequence to sequence model

With a sequence to sequence model where the enocoder and decoder are both comprised of one layer each, the initial state of the decoder is initialised to use the final states of the encoder layer. In ...

time-series lstm rnn sequence-to-sequence stacked-lstm

asked Feb 7 '19 at 12:46

Aesir

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vote

0answers

110 views

What should the size of the decoder output be in a sequence to sequence model

In a sequence to sequence model, a lot of the tutorials I have read state that the decoder target length should be the same as the encoder input length (https://blog.keras.io/building-autoencoders-in-...

neural-network keras time-series recurrent-neural-net sequence-to-sequence

asked Feb 2 '19 at 11:53

Aesir

2182 silver badges11 bronze badges

2

votes

1answer

8k views

How to determine feature importance in a neural network?

I have a neural network to solve a time series forecasting problem. It is a sequence-to-sequence neural network and currently it is trained on samples each with ten features. The performance of the ...

neural-network keras feature-selection recurrent-neural-net sequence-to-sequence

asked Jan 27 '19 at 14:01

Aesir

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2

votes

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581 views

Recommended model for univariate or multivariate multistep ahead time series forecasting

I have a dataset consisting of recurring and non-recurring expense transactions from bank accounts, as well as other features describing the bank account and each transation. I aggregate these ...

time-series lstm rnn forecasting sequence-to-sequence

asked Dec 19 '18 at 11:59

KOB

1895 bronze badges

1

vote

1answer

2k views

Predicting next number in a sequence - data analysis

I am a machine learning newbie and I am working on a project where I'm given a sequence of integers all of which are in the range 0 to 70. My goal is to predict the next integer in the sequence given ...

machine-learning time-series lstm rnn sequence-to-sequence

asked Dec 14 '18 at 14:05

varun

113 bronze badges

2

votes

2answers

4k views

Does this encoder-decoder LSTM make sense for time series sequence to sequence?

TASK given $\vec x = [x_{t=-3}, x_{t=-2}, x_{t=-1}, x_{t=0}]$ predict $\vec y = [x_{t=1}, x_{t=2}]$ Whith an LSTM encoder-decoder (seq2seq) MODEL NOTE: the ? symbol in the shape of the tensors ...

time-series lstm sequence-to-sequence

asked Dec 12 '18 at 13:07

ignatius

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