Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: SIRE: Separate Intra- and Inter-sentential Reasoning for Document-level
  Relation Extraction   Document-level relation extraction has attracted much attention in recent
years. It is usually formulated as a classification problem that predicts
relations for all entity pairs in the document. However, previous works
indiscriminately represent intra- and inter-sentential relations in the same
way, confounding the different patterns for predicting them. Besides, they
create a document graph and use paths between entities on the graph as clues
for logical reasoning. However, not all entity pairs can be connected with a
path and have the correct logical reasoning paths in their graph. Thus many
cases of logical reasoning cannot be covered. This paper proposes an effective
architecture, SIRE, to represent intra- and inter-sentential relations in
different ways. We design a new and straightforward form of logical reasoning
module that can cover more logical reasoning chains. Experiments on the public
datasets show SIRE outperforms the previous state-of-the-art methods. Further
analysis shows that our predictions are reliable and explainable. Our code is
available at https://github.com/DreamInvoker/SIRE.

24
The categories of this paper are: dg-ga
9
The categories of this paper are: nlin
5
The categories of this paper are: gr-qc
0
The categories of this paper are: hep-ph
37
The categories of this paper are: supr-con
23
The categories of this paper are: solv-int
29
The categories of this paper are: funct-an
8
The categories of this paper are: hep-ex
26
The categories of this paper are: bayes-an
3
The categories of this paper are: physics
25
The categories of this paper are: patt-sol
10
The categories of this paper are: q-bio
36
The categories of this paper are: cmp-lg
27
The categories of this paper are: comp-gas
12
The categories of this paper are: nucl-th
11
The categories of this paper are: hep-lat