research
∙
05/26/2023
Prompt- and Trait Relation-aware Cross-prompt Essay Trait Scoring
Automated essay scoring (AES) aims to score essays written for a given p...
share
research
∙
05/26/2023
Score-balanced Loss for Multi-aspect Pronunciation Assessment
With rapid technological growth, automatic pronunciation assessment has ...
research
∙
05/17/2023
Bring More Attention to Syntactic Symmetry for Automatic Postediting of High-Quality Machine Translations
Automatic postediting (APE) is an automated process to refine a given ma...
research
∙
03/17/2023
DORIC : Domain Robust Fine-Tuning for Open Intent Clustering through Dependency Parsing
We present our work on Track 2 in the Dialog System Technology Challenge...
research
∙
11/17/2022
Self-Training with Purpose Preserving Augmentation Improves Few-shot Generative Dialogue State Tracking
In dialogue state tracking (DST), labeling the dataset involves consider...
research
∙
11/15/2022
Hierarchical Pronunciation Assessment with Multi-Aspect Attention
Automatic pronunciation assessment is a major component of a computer-as...
research
∙
10/24/2022
Multi-Type Conversational Question-Answer Generation with Closed-ended and Unanswerable Questions
Conversational question answering (CQA) facilitates an incremental and i...
research
∙
04/22/2020
When and Why is Unsupervised Neural Machine Translation Useless?
This paper studies the practicality of the current state-of-the-art unsu...
research
∙
10/01/2019
When and Why is Document-level Context Useful in Neural Machine Translation?
Document-level context has received lots of attention for compensating n...
research
∙
09/20/2019
Pivot-based Transfer Learning for Neural Machine Translation between Non-English Languages
We present effective pre-training strategies for neural machine translat...
research
∙
06/17/2019
Generalizing Back-Translation in Neural Machine Translation
Back-translation - data augmentation by translating target monolingual d...
research
∙
06/05/2019
Learning Bilingual Sentence Embeddings via Autoencoding and Computing Similarities with a Multilayer Perceptron
We propose a novel model architecture and training algorithm to learn bi...
research
∙
05/14/2019
Effective Cross-lingual Transfer of Neural Machine Translation Models without Shared Vocabularies
Transfer learning or multilingual model is essential for low-resource ne...
research
∙
01/06/2019
Improving Unsupervised Word-by-Word Translation with Language Model and Denoising Autoencoder
Unsupervised learning of cross-lingual word embedding offers elegant mat...
research
∙
01/06/2019
Unsupervised Training for Large Vocabulary Translation Using Sparse Lexicon and Word Classes
We address for the first time unsupervised training for a translation ta...
research
∙
01/06/2019
