All Questions
Tagged with comparison natural-language-processing
13 questions
1
vote
1
answer
681
views
For specific tasks, is it better to fine-tune models on examples or just use prompting with the context of the task?
These days large language models cover a vast amount of topics and information, but I wanted to understand: For specific tasks, is it better to fine-tune models on examples or just use prompting with ...
3
votes
4
answers
315
views
Is there a relationship between Computer Algebra and NLP?
My intuition is that there is some overlap between understanding language and symbolic mathematics (e.g. algebra). The rules of algebra are somewhat like grammar, and the step-by-step arguments get ...
5
votes
2
answers
8k
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What is the difference between a language model and a word embedding?
I am self-studying applications of deep learning on the NLP and machine translation.
I am confused about the concepts of "Language Model", "Word Embedding", "BLEU Score".
...
2
votes
0
answers
103
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What is the difference between text-based image retrieval and natural language object retrieval?
I'm working on creating a model that locates the object in the scene (2D image or 3D scene) using a natural language query. I came across this paper on natural language object retrieval, which ...
30
votes
1
answer
18k
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How is BERT different from the original transformer architecture?
As far as I can tell, BERT is a type of Transformer architecture. What I do not understand is:
How is Bert different from the original transformer architecture?
What tasks are better suited for BERT,...
1
vote
1
answer
958
views
What are the main differences between a language model and a machine translation model?
What are the main differences between a language model and a machine translation model?
2
votes
1
answer
187
views
When to use NLP, NLG and NLU in conversation agents?
I had read some blogs (like 1, 2 or 3) about what the difference between all three of them is. I am trying to build an open domain conversation agent using natural language AI. That agent can do ...
0
votes
1
answer
633
views
What are the pros and cons of supervised, semi-supervised and unsupervised relation extraction in NLP?
I am following the NLP course taught by Dan Jurafsky. In the video lectures Supervised Relation Extraction and Semi Supervised and Unsupervised Relation Extraction Jurafsky explains supervised, semi-...
6
votes
1
answer
3k
views
What are pros and cons of Bi-LSTM as compared to LSTM?
What are the pros and cons of LSTM vs Bi-LSTM in language modelling? What was the need to introduce Bi-LSTM?
20
votes
2
answers
20k
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What are the main differences between skip-gram and continuous bag of words?
The skip-gram and continuous bag of words (CBOW) are two different types of word2vec models.
What are the main differences between them? What are the pros and cons of both methods?
2
votes
0
answers
262
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What are the advantages and disadvantages of extrinsic and perplexity model evaluation in NLP?
In the video Evaluation and Perplexity by Dan Jurafsky, the author talks about extrinsic and perplexity evaluation in the context of natural language processing (NLP).
What are the advantages and ...
3
votes
2
answers
141
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What are the advantages of Machine Learning compared to traditional programming for developing a chatbot?
I am currently building a chatbot. What I have done so far is, collected possible questions/training data/files and create a model out of it using Apache OpenNLP; the model is able to predict all the ...
3
votes
2
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185
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What is the difference between automatic transcription and automatic speech recognition?
What is the difference between automatic transcription and automatic speech recognition? Are they the same?
Is my following interpretation correct?
Automatic transcription: it converts the speech to ...