Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: I like fish, especially dolphins: Addressing Contradictions in Dialogue
  Modeling   To quantify how well natural language understanding models can capture
consistency in a general conversation, we introduce the DialoguE COntradiction
DEtection task (DECODE) and a new conversational dataset containing both
human-human and human-bot contradictory dialogues. We then compare a structured
utterance-based approach of using pre-trained Transformer models for
contradiction detection with the typical unstructured approach. Results reveal
that: (i) our newly collected dataset is notably more effective at providing
supervision for the dialogue contradiction detection task than existing NLI
data including those aimed to cover the dialogue domain; (ii) the structured
utterance-based approach is more robust and transferable on both analysis and
out-of-distribution dialogues than its unstructured counterpart. We also show
that our best contradiction detection model correlates well with human
judgments and further provide evidence for its usage in both automatically
evaluating and improving the consistency of state-of-the-art generative
chatbots.

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The categories of this paper are: mtrl-th
18
The categories of this paper are: econ
0
The categories of this paper are: hep-ph
27
The categories of this paper are: comp-gas
31
The categories of this paper are: ao-sci
36
The categories of this paper are: cmp-lg
33
The categories of this paper are: plasm-ph
30
The categories of this paper are: q-alg
28
The categories of this paper are: alg-geom
10
The categories of this paper are: q-bio
20
The categories of this paper are: acc-phys
13
The categories of this paper are: quant-ph
2
The categories of this paper are: math
24
The categories of this paper are: dg-ga
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The categories of this paper are: stat
15
The categories of this paper are: nucl-ex