Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Character Eyes: Seeing Language through Character-Level Taggers   Character-level models have been used extensively in recent years in NLP
tasks as both supplements and replacements for closed-vocabulary token-level
word representations. In one popular architecture, character-level LSTMs are
used to feed token representations into a sequence tagger predicting
token-level annotations such as part-of-speech (POS) tags. In this work, we
examine the behavior of POS taggers across languages from the perspective of
individual hidden units within the character LSTM. We aggregate the behavior of
these units into language-level metrics which quantify the challenges that
taggers face on languages with different morphological properties, and identify
links between synthesis and affixation preference and emergent behavior of the
hidden tagger layer. In a comparative experiment, we show how modifying the
balance between forward and backward hidden units affects model arrangement and
performance in these types of languages.

37
The categories of this paper are: supr-con
15
The categories of this paper are: nucl-ex
34
The categories of this paper are: chem-ph
32
The categories of this paper are: atom-ph
28
The categories of this paper are: alg-geom
19
The categories of this paper are: eess
6
The categories of this paper are: astro-ph
10
The categories of this paper are: q-bio
2
The categories of this paper are: math
35
The categories of this paper are: mtrl-th
3
The categories of this paper are: physics
24
The categories of this paper are: dg-ga
16
The categories of this paper are: stat
20
The categories of this paper are: acc-phys
23
The categories of this paper are: solv-int
12
The categories of this paper are: nucl-th