CIRCL: Sara Morini (Computational Linguistics)

SEP 24, 2019 | 6:30 PM TO 8:30 PM



The Graduate Center
365 Fifth Avenue




September 24, 2019: 6:30 PM-8:30 PM




Sara Morini will be presenting a topic on Computational Linguistics. 

Demographic Factors as Domains for Adaptation in Linguistic Preprocessing

 Classic natural language processing resources such as the Penn Treebank (Marcus et al. 1993) have long been used both as evaluation data for many linguistic tasks and as training data for a variety of off-the-shelf language processing tools. Recent work has highlighted a gender imbalance in the authors of this text data (Garimella et al. 2019) and hypothesized that tools created with such resources will privilege users from particular demographic groups (Hovy and S√łgaard 2015).

Domain adaptation is typically employed as a strategy in machine learning to adjust models trained and evaluated with data from different genres. However, the present work seeks to evaluate whether domain adaptation to demographic groups such as age or gender may be an effective strategy to ameliorate the effects of biased or outdated training corpora in linguistic preprocessing tasks. We find demographic groups to be appropriate domains for adaptation and that this type of adaptation is successful in improving preprocessing performance across all demographic groups studied.