Self-Supervised Method

method ID: selfsupervisedmethod

Related Papers

Beyond User Self-Reported Likert Scale Ratings: A Comparison Model for Automatic Dialog Evaluation

Authors: nan

Publication: TIPSTER (2020)

DOI: nan

AbstractOpen Domain dialog system evaluation is one of the most important challenges in dialog research. Existing automatic evaluation metrics, such as BLEU are mostly reference-based. They calculate the difference between …...

38211

Contrastive Self-Supervised Learning for Commonsense Reasoning

Authors: nan

Publication: TIPSTER (2020)

DOI: nan

AbstractWe propose a self-supervised method to solve Pronoun Disambiguation and Winograd Schema Challenge problems. Our approach exploits the characteristic structure of training corpora related to so-called “trigger” words, which are …...

37300

Guilt by Association: Emotion Intensities in Lexical Representations

Authors: nan

Publication: TIPSTER (2021)

DOI: nan

AbstractWhat do linguistic models reveal about the emotions associated with words? In this study, we consider the task of estimating word-level emotion intensity scores for specific emotions, exploring unsupervised, supervised, …...

30811

Self-Supervised Quality Estimation for Machine Translation

Authors: nan

Publication: TIPSTER (2021)

DOI: nan

AbstractQuality estimation (QE) of machine translation (MT) aims to evaluate the quality of machine-translated sentences without references and is important in practical applications of MT. Training QE models require massive …...

31835