Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Neural Metaphor Detection in Context   We present end-to-end neural models for detecting metaphorical word use in
context. We show that relatively standard BiLSTM models which operate on
complete sentences work well in this setting, in comparison to previous work
that used more restricted forms of linguistic context. These models establish a
new state-of-the-art on existing verb metaphor detection benchmarks, and show
strong performance on jointly predicting the metaphoricity of all words in a
running text.

2
The categories of this paper are: math
5
The categories of this paper are: gr-qc
36
The categories of this paper are: cmp-lg
12
The categories of this paper are: nucl-th
22
The categories of this paper are: chao-dyn
19
The categories of this paper are: eess
0
The categories of this paper are: hep-ph
17
The categories of this paper are: q-fin
30
The categories of this paper are: q-alg
4
The categories of this paper are: cond-mat
23
The categories of this paper are: solv-int
27
The categories of this paper are: comp-gas
34
The categories of this paper are: chem-ph
28
The categories of this paper are: alg-geom
11
The categories of this paper are: hep-lat
13
The categories of this paper are: quant-ph