Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Combining Event Semantics and Degree Semantics for Natural Language
  Inference   In formal semantics, there are two well-developed semantic frameworks: event
semantics, which treats verbs and adverbial modifiers using the notion of
event, and degree semantics, which analyzes adjectives and comparatives using
the notion of degree. However, it is not obvious whether these frameworks can
be combined to handle cases in which the phenomena in question are interacting
with each other. Here, we study this issue by focusing on natural language
inference (NLI). We implement a logic-based NLI system that combines event
semantics and degree semantics and their interaction with lexical knowledge. We
evaluate the system on various NLI datasets containing linguistically
challenging problems. The results show that the system achieves high accuracies
on these datasets in comparison with previous logic-based systems and
deep-learning-based systems. This suggests that the two semantic frameworks can
be combined consistently to handle various combinations of linguistic phenomena
without compromising the advantage of either framework.

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The categories of this paper are: hep-ph
3
The categories of this paper are: physics
17
The categories of this paper are: q-fin
32
The categories of this paper are: atom-ph
30
The categories of this paper are: q-alg
19
The categories of this paper are: eess
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The categories of this paper are: q-bio
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The categories of this paper are: hep-th
15
The categories of this paper are: nucl-ex
36
The categories of this paper are: cmp-lg
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The categories of this paper are: solv-int
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The categories of this paper are: funct-an
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The categories of this paper are: stat
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The categories of this paper are: plasm-ph
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The categories of this paper are: cond-mat
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The categories of this paper are: mtrl-th