Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Embedding Convolutions for Short Text Extreme Classification with
  Millions of Labels   Automatic annotation of short-text data to a large number of target labels,
referred to as Short Text Extreme Classification, has recently found numerous
applications in prediction of related searches and product recommendation
tasks. The conventional usage of Convolutional Neural Network (CNN) to capture
n-grams in text-classification relies heavily on uniformity in word-ordering
and the presence of long input sequences to convolve over. However, this is
missing in short and unstructured text sequences encountered in search and
recommendation. In order to tackle this, we propose an orthogonal approach by
recasting the convolution operation to capture coupled semantics along the
embedding dimensions, and develop a word-order agnostic embedding enhancement
module to deal with the lack of structure in such queries. Benefitting from the
computational efficiency of the convolution operation, Embedding Convolutions,
when applied on the enriched word embeddings, result in a light-weight and yet
powerful encoder (InceptionXML) that is robust to the inherent lack of
structure in short-text extreme classification.
  Towards scaling our model to problems with millions of labels, we also
propose InceptionXML+, which addresses the shortcomings of the dynamic
hard-negative mining framework in the recently proposed LightXML by improving
the alignment between the label-shortlister and extreme classifier. On popular
benchmark datasets, we empirically demonstrate that the proposed method
outperforms state-of-the-art deep extreme classifiers such as Astec by an
average of 5% and 8% on the P@k and propensity-scored PSP@k metrics
respectively.

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The categories of this paper are: q-fin
0
The categories of this paper are: hep-ph
12
The categories of this paper are: nucl-th
28
The categories of this paper are: alg-geom
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The categories of this paper are: eess
6
The categories of this paper are: astro-ph
33
The categories of this paper are: plasm-ph
18
The categories of this paper are: econ
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: dg-ga
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The categories of this paper are: chao-dyn
30
The categories of this paper are: q-alg
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The categories of this paper are: cond-mat
25
The categories of this paper are: patt-sol
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The categories of this paper are: chem-ph