Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: An automated domain-independent text reading, interpreting and
  extracting approach for reviewing the scientific literature   It is presented here a machine learning-based (ML) natural language
processing (NLP) approach capable to automatically recognize and extract
categorical and numerical parameters from a corpus of articles. The approach
(named a.RIX) operates with a concomitant/interchangeable use of ML models such
as neuron networks (NNs), latent semantic analysis (LSA), naive-Bayes
classifiers (NBC), and a pattern recognition model using regular expression
(REGEX). A corpus of 7,873 scientific articles dealing with natural products
(NPs) was used to demonstrate the efficiency of the a.RIX engine. The engine
automatically extracts categorical and numerical parameters such as (i) the
plant species from which active molecules are extracted, (ii) the
microorganisms species for which active molecules can act against, and (iii)
the values of minimum inhibitory concentration (MIC) against these
microorganisms. The parameters are extracted without part-of-speech tagging
(POS) and named entity recognition (NER) approaches (i.e. without the need of
text annotation), and the models training is performed with unsupervised
approaches. In this way, a.RIX can be essentially used on articles from any
scientific field. Finally, it can potentially make obsolete the current article
reviewing process in some areas, especially those in which machine learning
models capture texts structure, text semantics, and latent knowledge.

21
The categories of this paper are: adap-org
2
The categories of this paper are: math
34
The categories of this paper are: chem-ph
29
The categories of this paper are: funct-an
32
The categories of this paper are: atom-ph
11
The categories of this paper are: hep-lat
3
The categories of this paper are: physics
16
The categories of this paper are: stat
28
The categories of this paper are: alg-geom
12
The categories of this paper are: nucl-th
37
The categories of this paper are: supr-con
33
The categories of this paper are: plasm-ph
18
The categories of this paper are: econ
0
The categories of this paper are: hep-ph
6
The categories of this paper are: astro-ph
13
The categories of this paper are: quant-ph