Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Straight to the Tree: Constituency Parsing with Neural Syntactic
  Distance   In this work, we propose a novel constituency parsing scheme. The model
predicts a vector of real-valued scalars, named syntactic distances, for each
split position in the input sentence. The syntactic distances specify the order
in which the split points will be selected, recursively partitioning the input,
in a top-down fashion. Compared to traditional shift-reduce parsing schemes,
our approach is free from the potential problem of compounding errors, while
being faster and easier to parallelize. Our model achieves competitive
performance amongst single model, discriminative parsers in the PTB dataset and
outperforms previous models in the CTB dataset.

31
The categories of this paper are: ao-sci
16
The categories of this paper are: stat
11
The categories of this paper are: hep-lat
9
The categories of this paper are: nlin
15
The categories of this paper are: nucl-ex
22
The categories of this paper are: chao-dyn
19
The categories of this paper are: eess
5
The categories of this paper are: gr-qc
20
The categories of this paper are: acc-phys
10
The categories of this paper are: q-bio
28
The categories of this paper are: alg-geom
25
The categories of this paper are: patt-sol
2
The categories of this paper are: math
21
The categories of this paper are: adap-org
36
The categories of this paper are: cmp-lg
35
The categories of this paper are: mtrl-th