Papers with sociolinguistics
On learning and representing social meaning in NLP: a sociolinguistic perspective (2021.naacl-main)
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| Challenge: | linguistic variation allows for the expression of social meaning, information about the social background and identity of the language user. |
| Approach: | They introduce the concept of social meaning to NLP and discuss how sociolinguistics can inform work on representation learning in NLP. |
| Outcome: | The proposed model can be used to learn social meaning in NLP and identify key challenges. |
You Shall Know a User by the Company It Keeps: Dynamic Representations for Social Media Users in NLP (D19-1)
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| Challenge: | Current approaches to social media modelling ignore the fact that an individual may be part of several communities which are not equally relevant in all communicative situations. |
| Approach: | They propose a model that captures the sociological phenomenon of homophily and combines it with linguistic information to make a prediction. |
| Outcome: | The proposed model significantly outperforms existing models on three different tasks and is compared with other models. |