Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: BSDAR: Beam Search Decoding with Attention Reward in Neural Keyphrase
  Generation   This study mainly investigates two decoding problems in neural keyphrase
generation: sequence length bias and beam diversity. We introduce an extension
of beam search inference based on word-level and n-gram level attention score
to adjust and constrain Seq2Seq prediction at test time. Results show that our
proposed solution can overcome the algorithm bias to shorter and nearly
identical sequences, resulting in a significant improvement of the decoding
performance on generating keyphrases that are present and absent in source
text.

29
The categories of this paper are: funct-an
3
The categories of this paper are: physics
32
The categories of this paper are: atom-ph
23
The categories of this paper are: solv-int
35
The categories of this paper are: mtrl-th
0
The categories of this paper are: hep-ph
27
The categories of this paper are: comp-gas
37
The categories of this paper are: supr-con
11
The categories of this paper are: hep-lat
21
The categories of this paper are: adap-org
25
The categories of this paper are: patt-sol
6
The categories of this paper are: astro-ph
10
The categories of this paper are: q-bio
9
The categories of this paper are: nlin
24
The categories of this paper are: dg-ga
2
The categories of this paper are: math