Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Open Domain Question Answering Using Web Tables   Tables extracted from web documents can be used to directly answer many web
search queries. Previous works on question answering (QA) using web tables have
focused on factoid queries, i.e., those answerable with a short string like
person name or a number. However, many queries answerable using tables are
non-factoid in nature. In this paper, we develop an open-domain QA approach
using web tables that works for both factoid and non-factoid queries. Our key
insight is to combine deep neural network-based semantic similarity between the
query and the table with features that quantify the dominance of the table in
the document as well as the quality of the information in the table. Our
experiments on real-life web search queries show that our approach
significantly outperforms state-of-the-art baseline approaches. Our solution is
used in production in a major commercial web search engine and serves direct
answers for tens of millions of real user queries per month.

7
The categories of this paper are: hep-th
2
The categories of this paper are: math
26
The categories of this paper are: bayes-an
8
The categories of this paper are: hep-ex
17
The categories of this paper are: q-fin
25
The categories of this paper are: patt-sol
37
The categories of this paper are: supr-con
5
The categories of this paper are: gr-qc
31
The categories of this paper are: ao-sci
4
The categories of this paper are: cond-mat
19
The categories of this paper are: eess
23
The categories of this paper are: solv-int
13
The categories of this paper are: quant-ph
3
The categories of this paper are: physics
14
The categories of this paper are: math-ph
15
The categories of this paper are: nucl-ex