Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Modelling Domain Relationships for Transfer Learning on Retrieval-based
  Question Answering Systems in E-commerce   In this paper, we study transfer learning for the PI and NLI problems, aiming
to propose a general framework, which can effectively and efficiently adapt the
shared knowledge learned from a resource-rich source domain to a resource- poor
target domain. Specifically, since most existing transfer learning methods only
focus on learning a shared feature space across domains while ignoring the
relationship between the source and target domains, we propose to
simultaneously learn shared representations and domain relationships in a
unified framework. Furthermore, we propose an efficient and effective hybrid
model by combining a sentence encoding- based method and a sentence
interaction-based method as our base model. Extensive experiments on both
paraphrase identification and natural language inference demonstrate that our
base model is efficient and has promising performance compared to the competing
models, and our transfer learning method can help to significantly boost the
performance. Further analysis shows that the inter-domain and intra-domain
relationship captured by our model are insightful. Last but not least, we
deploy our transfer learning model for PI into our online chatbot system, which
can bring in significant improvements over our existing system. Finally, we
launch our new system on the chatbot platform Eva in our E-commerce site
AliExpress.

34
The categories of this paper are: chem-ph
33
The categories of this paper are: plasm-ph
7
The categories of this paper are: hep-th
12
The categories of this paper are: nucl-th
4
The categories of this paper are: cond-mat
9
The categories of this paper are: nlin
13
The categories of this paper are: quant-ph
11
The categories of this paper are: hep-lat
6
The categories of this paper are: astro-ph
5
The categories of this paper are: gr-qc
31
The categories of this paper are: ao-sci
18
The categories of this paper are: econ
37
The categories of this paper are: supr-con
15
The categories of this paper are: nucl-ex
24
The categories of this paper are: dg-ga
26
The categories of this paper are: bayes-an