Questions tagged [natural-language-processing]
Natural language processing (NLP)
198 questions
- Bountied 0
- Unanswered
- Frequent
- Score
- Trending
- Week
- Month
- Unanswered (my tags)
0
votes
0
answers
53
views
string matching algorithm question for matching approximately similar names between two lists
The focus of this question is on natural language processing, specifically matching names between 2 lists. I am looking at employees that work in the same organization, however I obtained data from ...
0
votes
3
answers
171
views
Does there exist a decent Python-to-English converter (abstractly, i.e. may not be coded on Earth) that is round-trip?
I was wondering how much Python can be converted in as close as possible a near 1-1 correspondence with English statements?
And how one could go about writing one given that they are able to examine a ...
1
vote
1
answer
94
views
bijection map of LLM
I just want to know: could we built a bridge or bijection mapping for AI agent between Prompt and Response? In other words, AI ...
-1
votes
1
answer
80
views
Forming Sentences
I have a bunch of transcripts from online videos but I suspect the transcripts aren't formatted well. There are no punctuations, sentences are broken abruptly, some words aren't complete (for example ...
1
vote
1
answer
93
views
Generate product description from product specifications
I am looking for a python NLP library that can generate a proper product description based on product features provided to it.
Till now, i have tried transformers library and this is the code:
...
1
vote
1
answer
102
views
Is the fact true that GPT-3 wasn't trained on any explicitly gathered code dataset?
The paper mentions a line about GPT-3's training dataset -
...
0
votes
1
answer
73
views
Strange notation in the article about sparse self-attention
While reading an article devoted to the sparse self-attention, I came across a notation that was not very clear:
$$
Attend(X, S) =
\Big(
a(x_i, S_i)
\Big)_{i∈{\{1,...,n}\}}
$$
What means $\Big( \space ...
1
vote
0
answers
76
views
Are there known algorithms for generating abbreviations from a (sequence) of words (similar to hyphenation)
I'm currently developing a custom UI layout library. At the moment a user of that library should supply strings for UI labels in a format that allow for subsequent shortening of those labels, so that ...
0
votes
0
answers
69
views
n-gram model: why conditioning on the start symbol <s>?
from the book, Speech and Language Processing (3rd ed. draft)
I understand conditioning on <s> will give context about the first word.
From the formula above, ...
0
votes
2
answers
232
views
ML model to pick to classify data with inputs as an array of strings?
I have a medical dataset, which is something like this
...
1
vote
1
answer
98
views
How can a Machine Learning model predict this classification problem?
I am pretty new to ML and have a basic but fundamental question.
Let’s imagine we want to create a simple Sentiment Analysis model using Machine Learning not Deep Learning algorithms, so we need to ...
0
votes
1
answer
150
views
If Large Language Models like ChatGPT grow, do also their problems grow?
In a video Noam Chomsky said, that if these LLM get bigger, than also the things they are not good at get bigger too. He doesn't explain more details about this. So is this true? In what way do their ...
1
vote
0
answers
89
views
How should one interpret the minhash error rate?
On Wikipedia the error rate for the minhash algorithm vs baseline jaccard similarity is stated as 1/sqrt(1/hashes).
But, how should one interpret this number in a ...
1
vote
1
answer
119
views
Resources to learn NLP
I am an undergraduate student in mathematics. I have a fair bit of experience with deep learning in computer vision research and am willing to dabble into Natural Language Processing (NLP). I hope ...
0
votes
0
answers
88
views
Constraint satisfaction problems in Natural language processing
I have just started learning about CSP and NLP, for which I have to write a review paper of some research articles.
The problem is that when a searched for research articles on some trusted digital ...