Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Hidden Markov Based Mathematical Model dedicated to Extract Ingredients
  from Recipe Text   Natural Language Processing (NLP) is a branch of artificial intelligence that
gives machines the ability to decode human languages. Partof-speech tagging
(POS tagging) is a pre-processing task that requires an annotated corpus.
Rule-based and stochastic methods showed remarkable results for POS tag
prediction. On this work, I performed a mathematical model based on Hidden
Markov structures and I obtained a high-level accuracy of ingredients extracted
from text recipe with performances greater than what traditional methods could
make without unknown words consideration.

23
The categories of this paper are: solv-int
8
The categories of this paper are: hep-ex
18
The categories of this paper are: econ
5
The categories of this paper are: gr-qc
27
The categories of this paper are: comp-gas
20
The categories of this paper are: acc-phys
4
The categories of this paper are: cond-mat
15
The categories of this paper are: nucl-ex
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The categories of this paper are: adap-org
33
The categories of this paper are: plasm-ph
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The categories of this paper are: math-ph
7
The categories of this paper are: hep-th
6
The categories of this paper are: astro-ph
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The categories of this paper are: atom-ph
12
The categories of this paper are: nucl-th
11
The categories of this paper are: hep-lat