Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: SLAM-Inspired Simultaneous Contextualization and Interpreting for
  Incremental Conversation Sentences   Distributed representation of words has improved the performance for many
natural language tasks. In many methods, however, only one meaning is
considered for one label of a word, and multiple meanings of polysemous words
depending on the context are rarely handled. Although research works have dealt
with polysemous words, they determine the meanings of such words according to a
batch of large documents. Hence, there are two problems with applying these
methods to sequential sentences, as in a conversation that contains ambiguous
expressions. The first problem is that the methods cannot sequentially deal
with the interdependence between context and word interpretation, in which
context is decided by word interpretations and the word interpretations are
decided by the context. Context estimation must thus be performed in parallel
to pursue multiple interpretations. The second problem is that the previous
methods use large-scale sets of sentences for offline learning of new
interpretations, and the steps of learning and inference are clearly separated.
Such methods using offline learning cannot obtain new interpretations during a
conversation. Hence, to dynamically estimate the conversation context and
interpretations of polysemous words in sequential sentences, we propose a
method of Simultaneous Contextualization And INterpreting (SCAIN) based on the
traditional Simultaneous Localization And Mapping (SLAM) algorithm. By using
the SCAIN algorithm, we can sequentially optimize the interdependence between
context and word interpretation while obtaining new interpretations online. For
experimental evaluation, we created two datasets: one from Wikipedia's
disambiguation pages and the other from real conversations. For both datasets,
the results confirmed that SCAIN could effectively achieve sequential
optimization of the interdependence and acquisition of new interpretations.

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The categories of this paper are: nlin
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The categories of this paper are: comp-gas
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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: ao-sci
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The categories of this paper are: physics
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The categories of this paper are: q-alg
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The categories of this paper are: chem-ph
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The categories of this paper are: mtrl-th
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The categories of this paper are: acc-phys
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The categories of this paper are: supr-con
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The categories of this paper are: stat
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The categories of this paper are: gr-qc
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The categories of this paper are: eess
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The categories of this paper are: alg-geom
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The categories of this paper are: bayes-an