Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Evaluating Contextualized Embeddings on 54 Languages in POS Tagging,
  Lemmatization and Dependency Parsing   We present an extensive evaluation of three recently proposed methods for
contextualized embeddings on 89 corpora in 54 languages of the Universal
Dependencies 2.3 in three tasks: POS tagging, lemmatization, and dependency
parsing. Employing the BERT, Flair and ELMo as pretrained embedding inputs in a
strong baseline of UDPipe 2.0, one of the best-performing systems of the CoNLL
2018 Shared Task and an overall winner of the EPE 2018, we present a one-to-one
comparison of the three contextualized word embedding methods, as well as a
comparison with word2vec-like pretrained embeddings and with end-to-end
character-level word embeddings. We report state-of-the-art results in all
three tasks as compared to results on UD 2.2 in the CoNLL 2018 Shared Task.

28
The categories of this paper are: alg-geom
15
The categories of this paper are: nucl-ex
25
The categories of this paper are: patt-sol
22
The categories of this paper are: chao-dyn
33
The categories of this paper are: plasm-ph
30
The categories of this paper are: q-alg
35
The categories of this paper are: mtrl-th
2
The categories of this paper are: math
16
The categories of this paper are: stat
5
The categories of this paper are: gr-qc
4
The categories of this paper are: cond-mat
0
The categories of this paper are: hep-ph
11
The categories of this paper are: hep-lat
32
The categories of this paper are: atom-ph
19
The categories of this paper are: eess
20
The categories of this paper are: acc-phys