Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Duet at TREC 2019 Deep Learning Track   This report discusses three submissions based on the Duet architecture to the
Deep Learning track at TREC 2019. For the document retrieval task, we adapt the
Duet model to ingest a "multiple field" view of documents---we refer to the new
architecture as Duet with Multiple Fields (DuetMF). A second submission
combines the DuetMF model with other neural and traditional relevance
estimators in a learning-to-rank framework and achieves improved performance
over the DuetMF baseline. For the passage retrieval task, we submit a single
run based on an ensemble of eight Duet models.

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The categories of this paper are: q-alg
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The categories of this paper are: eess
2
The categories of this paper are: math
31
The categories of this paper are: ao-sci
11
The categories of this paper are: hep-lat
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The categories of this paper are: chao-dyn
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The categories of this paper are: plasm-ph
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The categories of this paper are: mtrl-th
4
The categories of this paper are: cond-mat
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The categories of this paper are: funct-an
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The categories of this paper are: solv-int
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The categories of this paper are: nucl-th
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The categories of this paper are: adap-org
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The categories of this paper are: econ
5
The categories of this paper are: gr-qc
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The categories of this paper are: atom-ph