Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: AMR Parsing using Stack-LSTMs   We present a transition-based AMR parser that directly generates AMR parses
from plain text. We use Stack-LSTMs to represent our parser state and make
decisions greedily. In our experiments, we show that our parser achieves very
competitive scores on English using only AMR training data. Adding additional
information, such as POS tags and dependency trees, improves the results
further.

5
The categories of this paper are: gr-qc
30
The categories of this paper are: q-alg
7
The categories of this paper are: hep-th
2
The categories of this paper are: math
26
The categories of this paper are: bayes-an
10
The categories of this paper are: q-bio
27
The categories of this paper are: comp-gas
6
The categories of this paper are: astro-ph
13
The categories of this paper are: quant-ph
28
The categories of this paper are: alg-geom
21
The categories of this paper are: adap-org
19
The categories of this paper are: eess
17
The categories of this paper are: q-fin
36
The categories of this paper are: cmp-lg
35
The categories of this paper are: mtrl-th
34
The categories of this paper are: chem-ph