About me

Hi! I am Yuekun Yao, a Ph.D. student in computational linguistics at Saarland University working with Alexander Koller.

My research interests focus on structured prediction tasks in natural language understanding, including syntactic parsing, semantic role labeling and semantic parsing. Currently I am especially interested in using sequence-to-sequence models to learn compositional generalization, a key ability that humans use to generate infinate natural language sentences from finite grammar structures.

Publications

2024

Simple and effective data augmentation for compositional generalization [paper]

Yuekun Yao, Alexander Koller

To appear in NAACL 2024

2023

Predicting generalization performance with correctness discriminators [paper]

Yuekun Yao, Alexander Koller

CoRR, 2023, positively reviewed at ARR.

SLOG: A Structural Generalization Benchmark for Semantic Parsing [paper]

Bingzhi Li, Lucia Donatelli, Alexander Koller, Tal Linzen, Yuekun Yao, Najoung Kim

EMNLP 2023

2022

Structural generalization is hard for sequence-to-sequence models [paper]

Yuekun Yao, Alexander Koller

EMNLP 2022

2020

Dynamic masking for improved stability in online spoken language translation [paper]

Yuekun Yao, Barry Haddow

AMTA 2020

ELITR non-native speech translation at IWSLT 2020 [paper]

Dominik Macháček, Jonáš Kratochvíl, Sangeet Sagar, Matúš Žilinec, Ondřej Bojar, Thai-Son Nguyen, Felix Schneider, Philip Williams, Yuekun Yao

IWSLT 2020

Contact me

ykyao [dot] cs [at] gmail [dot] com