Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Speaker-Oriented Latent Structures for Dialogue-Based Relation
  Extraction   Dialogue-based relation extraction (DiaRE) aims to detect the structural
information from unstructured utterances in dialogues. Existing relation
extraction models may be unsatisfactory under such a conversational setting,
due to the entangled logic and information sparsity issues in utterances
involving multiple speakers. To this end, we introduce SOLS, a novel model
which can explicitly induce speaker-oriented latent structures for better
DiaRE. Specifically, we learn latent structures to capture the relationships
among tokens beyond the utterance boundaries, alleviating the entangled logic
issue. During the learning process, our speaker-specific regularization method
progressively highlights speaker-related key clues and erases the irrelevant
ones, alleviating the information sparsity issue. Experiments on three public
datasets demonstrate the effectiveness of our proposed approach.

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The categories of this paper are: hep-ph
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The categories of this paper are: physics
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The categories of this paper are: stat
11
The categories of this paper are: hep-lat
22
The categories of this paper are: chao-dyn
13
The categories of this paper are: quant-ph
35
The categories of this paper are: mtrl-th
20
The categories of this paper are: acc-phys
32
The categories of this paper are: atom-ph
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The categories of this paper are: eess
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The categories of this paper are: comp-gas
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The categories of this paper are: bayes-an
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The categories of this paper are: nucl-th
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The categories of this paper are: hep-th
34
The categories of this paper are: chem-ph
31
The categories of this paper are: ao-sci