Search Results for author: Atijit Anuchitanukul

Found 3 papers, 1 papers with code

SURF: Semantic-level Unsupervised Reward Function for Machine Translation

no code implementations NAACL 2022 Atijit Anuchitanukul, Julia Ive

The performance of Reinforcement Learning (RL) for natural language tasks including Machine Translation (MT) is crucially dependent on the reward formulation.

Machine Translation Reinforcement Learning (RL) +4

Burst2Vec: An Adversarial Multi-Task Approach for Predicting Emotion, Age, and Origin from Vocal Bursts

1 code implementation24 Jun 2022 Atijit Anuchitanukul, Lucia Specia

We present Burst2Vec, our multi-task learning approach to predict emotion, age, and origin (i. e., native country/language) from vocal bursts.

Multi-Task Learning

Revisiting Contextual Toxicity Detection in Conversations

no code implementations24 Nov 2021 Atijit Anuchitanukul, Julia Ive, Lucia Specia

We then propose to bring these findings into computational detection models by introducing and evaluating (a) neural architectures for contextual toxicity detection that are aware of the conversational structure, and (b) data augmentation strategies that can help model contextual toxicity detection.

Data Augmentation Toxic Comment Classification

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