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With or Without Meaning? Hype Cycles in Language Technology and What We Can Learn from Them

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Future and Emerging Trends in Language Technology. Machine Learning and Big Data (FETLT 2016)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 10341))

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Abstract

Despite its relatively short period of existence as a scientific area, natural language processing has gone through a succession of diverse mainstream research paradigms. How similar are these inflection moments in the history of the research on language technology? What can we learn from that similarity, if any, about the overall shape of the evolution of this field? And importantly, what can we anticipate from this shape, if any, about the future and emerging trends in language technology? — which is the topic of the workshop where this paper was presented.

The result of this study is meant to be of help to organize research agendas of centers, laboratories and individual researchers and innovators, as well as to guide informed institutional funding and support for research and innovation in language technology.

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Acknowledgments

The work reported in this paper was partially supported by P2020 Program under the grant 08/SI/2015/3279 for the project ASSET-Intelligent Assistance for Everyone Everywhere.

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Correspondence to António Branco .

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Branco, A. (2017). With or Without Meaning? Hype Cycles in Language Technology and What We Can Learn from Them. In: Quesada, J., Martín Mateos , FJ., López Soto, T. (eds) Future and Emerging Trends in Language Technology. Machine Learning and Big Data. FETLT 2016. Lecture Notes in Computer Science(), vol 10341. Springer, Cham. https://doi.org/10.1007/978-3-319-69365-1_1

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  • DOI: https://doi.org/10.1007/978-3-319-69365-1_1

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