Abstract Entity Coreference Resolution is the task of resolving all mentions in a document that refer to the same real world entity and is considered as one of the most difficult tasks in …
H Devinney, J Björklund, H Björklund - … of the 2022 ACM conference on …, 2022 - dl.acm.org
The rise of concern around Natural Language Processing (NLP) technologies containing and perpetuating social biases has led to a rich and rapidly growing area of research …
Abstract In linguistics, the Anaphora Resolution (AR) is the method of identifying the antecedent for anaphora. In simple terms, this is the problem that helps to solve what the …
Medical systems in general, and patient treatment decisions and outcomes in particular, can be affected by bias based on gender and other demographic elements. As language models …
The 1st ACL workshop on Gender Bias in Natural Language Processing included a shared task on gendered ambiguous pronoun (GAP) resolution. This task was based on the …
A Renda, Y Ding, M Carbin - Proceedings of the 2021 ACM SIGPLAN …, 2021 - dl.acm.org
Surrogates, models that mimic the behavior of programs, form the basis of a variety of development workflows. We study three surrogate-based design patterns, evaluating each …
Conventional knowledge distillation (KD) methods require access to the internal information of teachers, eg, logits. However, such information may not always be accessible for large pre …
Modeling tasks often take inputs from languages including programming languages and natural language. Many such tasks involve learning functions which are invariant to certain …
The proliferation of digital data across all areas of society has transformed our ability to hypothesize, study, and understand social systems. From this richness of data we have seen …