6 Questions for Socially Aware Language Technologies
Over the last few decades, natural language processing (NLP) has dramatically improved performance and produced industrial applications like personal assistants. Despite being sufficient to enable these applications, current NLP systems largely ignore the social part of language. This severely limi...
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| Format: | Article |
| Language: | English |
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Linköping University Electronic Press
2021-07-01
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| Series: | Northern European Journal of Language Technology |
| Online Access: | https://nejlt.ep.liu.se/article/view/3874 |
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| _version_ | 1832591264568049664 |
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| author | Diyi Yang |
| author_facet | Diyi Yang |
| author_sort | Diyi Yang |
| collection | DOAJ |
| description |
Over the last few decades, natural language processing (NLP) has dramatically improved performance and produced industrial applications like personal assistants. Despite being sufficient to enable these applications, current NLP systems largely ignore the social part of language. This severely limits the functionality and growth of these applications. This work discusses 6 questions towards how to build socially aware language technologies, with the hope of inspire more research into Social NLP and push our research field to the next level.
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| format | Article |
| id | doaj-art-d1d0f176a4bb463e86e6e1a9f425170d |
| institution | Kabale University |
| issn | 2000-1533 |
| language | English |
| publishDate | 2021-07-01 |
| publisher | Linköping University Electronic Press |
| record_format | Article |
| series | Northern European Journal of Language Technology |
| spelling | doaj-art-d1d0f176a4bb463e86e6e1a9f425170d2025-01-22T15:25:33ZengLinköping University Electronic PressNorthern European Journal of Language Technology2000-15332021-07-017110.3384/nejlt.2000-1533.2021.38746 Questions for Socially Aware Language TechnologiesDiyi Yang0Georgia Tech Over the last few decades, natural language processing (NLP) has dramatically improved performance and produced industrial applications like personal assistants. Despite being sufficient to enable these applications, current NLP systems largely ignore the social part of language. This severely limits the functionality and growth of these applications. This work discusses 6 questions towards how to build socially aware language technologies, with the hope of inspire more research into Social NLP and push our research field to the next level. https://nejlt.ep.liu.se/article/view/3874 |
| spellingShingle | Diyi Yang 6 Questions for Socially Aware Language Technologies Northern European Journal of Language Technology |
| title | 6 Questions for Socially Aware Language Technologies |
| title_full | 6 Questions for Socially Aware Language Technologies |
| title_fullStr | 6 Questions for Socially Aware Language Technologies |
| title_full_unstemmed | 6 Questions for Socially Aware Language Technologies |
| title_short | 6 Questions for Socially Aware Language Technologies |
| title_sort | 6 questions for socially aware language technologies |
| url | https://nejlt.ep.liu.se/article/view/3874 |
| work_keys_str_mv | AT diyiyang 6questionsforsociallyawarelanguagetechnologies |