Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Exploring the Suitability of Semantic Spaces as Word Association Models
  for the Extraction of Semantic Relationships   Given the recent advances and progress in Natural Language Processing (NLP),
extraction of semantic relationships has been at the top of the research agenda
in the last few years. This work has been mainly motivated by the fact that
building knowledge graphs (KG) and bases (KB), as a key ingredient of
intelligent applications, is a never-ending challenge, since new knowledge
needs to be harvested while old knowledge needs to be revised. Currently,
approaches towards relation extraction from text are dominated by neural models
practicing some sort of distant (weak) supervision in machine learning from
large corpora, with or without consulting external knowledge sources. In this
paper, we empirically study and explore the potential of a novel idea of using
classical semantic spaces and models, e.g., Word Embedding, generated for
extracting word association, in conjunction with relation extraction
approaches. The goal is to use these word association models to reinforce
current relation extraction approaches. We believe that this is a first attempt
of this kind and the results of the study should shed some light on the extent
to which these word association models can be used as well as the most
promising types of relationships to be considered for extraction.

7
The categories of this paper are: hep-th
12
The categories of this paper are: nucl-th
35
The categories of this paper are: mtrl-th
28
The categories of this paper are: alg-geom
36
The categories of this paper are: cmp-lg
4
The categories of this paper are: cond-mat
5
The categories of this paper are: gr-qc
17
The categories of this paper are: q-fin
37
The categories of this paper are: supr-con
26
The categories of this paper are: bayes-an
18
The categories of this paper are: econ
20
The categories of this paper are: acc-phys
29
The categories of this paper are: funct-an
34
The categories of this paper are: chem-ph
24
The categories of this paper are: dg-ga
2
The categories of this paper are: math