activity
20162023
most citedData Augmentation using Pre-trained Transformer Models

139 citations · 236 across the 8 of their papers we have counts for

collaborators

8 papers

cs.IR2023★ 3 cited

RecMind: Large Language Model Powered Agent For Recommendation

Yancheng Wang, Ziyan Jiang, Zheng Chen +7

While the recommendation system (RS) has advanced significantly through deep learning, current RS approaches usually train and fine-tune models on task-specific datasets, limiting…

cs.CL2023

KG-ECO: Knowledge Graph Enhanced Entity Correction for Query Rewriting

Jinglun Cai, Mingda Li, Ziyan Jiang +5

Query Rewriting (QR) plays a critical role in large-scale dialogue systems for reducing frictions. When there is an entity error, it imposes extra challenges for a dialogue system…

eess.AS2020★ 10 cited

Low Latency ASR for Simultaneous Speech Translation

Thai Son Nguyen, Jan Niehues, Eunah Cho +6

User studies have shown that reducing the latency of our simultaneous lecture translation system should be the most important goal. We therefore have worked on several techniques f…

cs.CL2020★ 139 cited

Data Augmentation using Pre-trained Transformer Models

Varun Kumar, Ashutosh Choudhary, Eunah Cho

Language model based pre-trained models such as BERT have provided significant gains across different NLP tasks. In this paper, we study different types of transformer based pre-tr…

cs.CL2019

Efficient Semi-Supervised Learning for Natural Language Understanding by Optimizing Diversity

Eunah Cho, He Xie, John P. Lalor +2

Expanding new functionalities efficiently is an ongoing challenge for single-turn task-oriented dialogue systems. In this work, we explore functionality-specific semi-supervised le…

cs.CL2017★ 15 cited

Exploiting Linguistic Resources for Neural Machine Translation Using Multi-task Learning

Jan Niehues, Eunah Cho

Linguistic resources such as part-of-speech (POS) tags have been extensively used in statistical machine translation (SMT) frameworks and have yielded better performances. However,…