All Questions
24 questions
-2
votes
0
answers
13
views
Where can I find datasets for medical document analysis and disease diagnosis using NLP? [closed]
I'm working on a healthcare-related project where I need to analyze medical documents, extract specific values (e.g., creatinine, glucose levels, etc.), and generate personalized paragraphs for ...
0
votes
0
answers
9
views
RNN invalidArgumentError
I am training RNN model for speech to text purpose.
While training RNN, I am getting this weird error called invalid argument error indices[28,0] = -1 is not in [0,169)
model = keras.Sequential()
# ...
2
votes
1
answer
831
views
What is the actual order of execution when Top-K, Top-P and Temperature are used together for NLP decoding?
Let's say I use:
sample_outputs = model.generate(**model_inputs,max_new_tokens=40,do_sample=True,
top_k=3,top_p=0.51, temperature=0.6, num_return_sequences=3,)
What is the order of execution in ...
- 4,132
-1
votes
1
answer
174
views
"sentiment analysis" using "sst2" dataset (Classification)
I'm trying to fine-tune "distilbert-base-uncased" model using huggingface libraries, but I run to this error:
IndexError: Target -1 is out of bounds.
after loading my dataset (sst2) using ...
1
vote
1
answer
258
views
How can i measure semantic similarity between a sentence and its negative meaning?
tecAnswer = """
Gradient descent is an optimization algorithm which is commonly-used to train machine learning models and neural networks. Training data helps these models learn over ...
- 1,172
1
vote
2
answers
2k
views
No CUDA runtime is found when I was installing fairseq
GPU：GTX 1650
CUDA：11.7
torch.cuda.is_available() return True
I am trying install fairseq after cloning, but it came some problems.
when F:\research\fairseq>pip install --editable ./
it showed that
...
- 11
-1
votes
1
answer
90
views
How can i know if it is a random word(or string)
I want to know which given string is random.
For example, If there was given words (A)"protectsky" and (B)"ptctpkysui", A human would recognize (A) as a meaningful string and (B) ...
- 15
2
votes
2
answers
4k
views
How to use cosine similarity within triplet loss
The triplet loss is defined as follows:
L(A, P, N) = max(‖f(A) - f(P)‖² - ‖f(A) - f(N)‖² + margin, 0)
where A=anchor, P=positive, and N=negative are the data samples in the loss, and margin is the ...
- 1,000
0
votes
0
answers
254
views
AttributeError: 'ListWrapper' object has no attribute 'minimize'
I am building a chatbot using this seq2seq model, but there seems to be a problem before i can even train my model since i encountered this error. Does anyone know how to solve it?
from tensorflow....
- 1
2
votes
0
answers
49
views
Segmentation of a single Japanese handwritten word into characters
I want to segment a handwritten Japanese word into characters. Although I did the segmentation using the projection method, I did not reach an accuracy of more than 70%. I need suggestions and also ...
0
votes
1
answer
379
views
How can we feed our custom synonym word list to NLP model (Word2Vec is preferred)
I am using Word2Vec model for making a vectorizer from my data.
My data has custom/business defined synonym word list which i want my NLP model should consider.
For e.g if "A" is a synonym ...
48
votes
5
answers
48k
views
Computational Complexity of Self-Attention in the Transformer Model
I recently went through the Transformer paper from Google Research describing how self-attention layers could completely replace traditional RNN-based sequence encoding layers for machine translation. ...
- 488
0
votes
1
answer
35
views
Can we use more than one target word for the CBOW method?
Say we have two target words for the same contexts:
he is a VERY GOOD BOY.
This is a VERY GOOD HAND-WRITING.
Here the VERY AND GOOD are contexts, whilst BOY and HAND-WRITING are two targets.
Can ...
1
vote
2
answers
4k
views
How can I merge or concatenate two sequential models using Keras?
I have a dataset with two text fields which after tokenization I have made two sequential models which I am trying to combine or merge but i am facing errors while merging.
I have built two ...
- 83
0
votes
1
answer
51
views
Which technique for training should I use for the following dataset?
I have a dataset which is a csv having 2 columns "Text", "Name".
"Text" column contains the news article.
"Name" column contains the extracted name from the corresponding text.
I have to train the ...
- 387
2
votes
1
answer
680
views
AttributeError: 'Tensor' object has no attribute '_keras_history' during implementing co-attention layer
everybody. I'm trying to custom a co attention layer for a matching task. And there is an error confused me a lot.
model = Model(inputs=[ans_input, ques_input], outputs=output)
my program shutdown ...
- 77
1
vote
0
answers
431
views
Is this a correct reimplementation of Pytorch Seq2Seq model?
I made a code that sort of change the tutorial script of seq2seq provided by Pytorch. Here’s the model:
class Seq2Seq(nn.Module):
def __init__(self, encoder, batch_size, vocab_size, input_size, ...
- 1,230
1
vote
2
answers
2k
views
Using NLP or machine learning to extract keywords off a sentence
I'm new to the ML/NLP field so my question is what technology would be most appropriate to achieve the following goal:
We have a short sentence - "Where to go for dinner?" or "What's your favorite ...
- 108
0
votes
1
answer
71
views
Which technique is used in Auto Answering user queries in Artificial Intelligence? [closed]
I have a paragraph, system has to understand it and it should answer all the questions asked by the user. Please name the techniques and methodologies.
5
votes
2
answers
6k
views
how to fine-tune word2vec when training our CNN for text classification?
I have 3 Questions about fine-tuning word vectors. Please, help me out. I will really appreciate it! Many thanks in advance!
When I train my own CNN for text classification, I use Word2vec to ...
-2
votes
1
answer
328
views
Summarization Algo for novels : Supervised learning
I want to write a Learning Algo which can automatically create summary of articles .
e.g, there are some fiction novels(one category considering it as a filter) in PDF format. I want to make an ...
- 442
5
votes
2
answers
4k
views
Where to start: Natural language processing and AI using Python
My goal is to write a program capable of extracting tone, personality, and intent from human language inquiries (e.g. I type: How are you doing today? And the AI system responds with something like: ...
- 3,267
0
votes
1
answer
1k
views
Automatic text / HTML annotation / highlighting
Nowadays there are softwares which, when provided a text or a html document page, will output a summary.
I wonder if there exist anything to automatically annotate (or at least highlight) the same ...
- 92k