Abstract | ||
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This paper highlights challenges in industrial research related to translating research in natural language processing into commercial products. While the interest in natural language processing from industry is significant, the transfer of research to commercial products is non-trivial and its challenges are often unknown to or underestimated by many researchers. I discuss current obstacles and provide suggestions for increasing the chances for translating research to commercial success based on my experience in industrial research. |
Year | DOI | Venue |
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2017 | 10.18653/v1/P17-2015 | PROCEEDINGS OF THE 55TH ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS (ACL 2017), VOL 2 |
Field | DocType | Volume |
Computer science,Natural language processing,Artificial intelligence | Conference | P17-2 |
Citations | PageRank | References |
0 | 0.34 | 5 |
Authors | ||
1 |
Name | Order | Citations | PageRank |
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Daniel Dahlmeier | 1 | 460 | 29.67 |