Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Design and implementation of an open source Greek POS Tagger and Entity
  Recognizer using spaCy   This paper proposes a machine learning approach to part-of-speech tagging and
named entity recognition for Greek, focusing on the extraction of morphological
features and classification of tokens into a small set of classes for named
entities. The architecture model that was used is introduced. The greek version
of the spaCy platform was added into the source code, a feature that did not
exist before our contribution, and was used for building the models.
Additionally, a part of speech tagger was trained that can detect the
morphology of the tokens and performs higher than the state-of-the-art results
when classifying only the part of speech. For named entity recognition using
spaCy, a model that extends the standard ENAMEX type (organization, location,
person) was built. Certain experiments that were conducted indicate the need
for flexibility in out-of-vocabulary words and there is an effort for resolving
this issue. Finally, the evaluation results are discussed.

17
The categories of this paper are: q-fin
27
The categories of this paper are: comp-gas
14
The categories of this paper are: math-ph
36
The categories of this paper are: cmp-lg
4
The categories of this paper are: cond-mat
29
The categories of this paper are: funct-an
22
The categories of this paper are: chao-dyn
7
The categories of this paper are: hep-th
0
The categories of this paper are: hep-ph
5
The categories of this paper are: gr-qc
35
The categories of this paper are: mtrl-th
37
The categories of this paper are: supr-con
20
The categories of this paper are: acc-phys
8
The categories of this paper are: hep-ex
31
The categories of this paper are: ao-sci
13
The categories of this paper are: quant-ph