75 citations · 374 across the 37 of their papers we have counts for
18 papers · 1 filter
Hardness-guided domain adaptation to recognise biomedical named entities under low-resource scenarios
Ngoc Dang Nguyen, Lan Du, Wray Buntine +2
Domain adaptation is an effective solution to data scarcity in low-resource scenarios. However, when applied to token-level tasks such as bioNER, domain adaptation methods often su…
AES Systems Are Both Overstable And Oversensitive: Explaining Why And Proposing Defenses
Yaman Kumar Singla, Swapnil Parekh, Somesh Singh +3
Deep-learning based Automatic Essay Scoring (AES) systems are being actively used by states and language testing agencies alike to evaluate millions of candidates for life-changing…
Perception Point: Identifying Critical Learning Periods in Speech for Bilingual Networks
Anuj Saraswat, Mehar Bhatia, Yaman Kumar Singla +2
Recent studies in speech perception have been closely linked to fields of cognitive psychology, phonology, and phonetics in linguistics. During perceptual attunement, a critical an…
MINIMAL: Mining Models for Data Free Universal Adversarial Triggers
Swapnil Parekh, Yaman Singla Kumar, Somesh Singh +3
It is well known that natural language models are vulnerable to adversarial attacks, which are mostly input-specific in nature. Recently, it has been shown that there also exist in…
Outline to Story: Fine-grained Controllable Story Generation from Cascaded Events
Le Fang, Tao Zeng, Chaochun Liu +3
Large-scale pretrained language models have shown thrilling generation capabilities, especially when they generate consistent long text in thousands of words with ease. However, us…
SDA: Improving Text Generation with Self Data Augmentation
Ping Yu, Ruiyi Zhang, Yang Zhao +3
Data augmentation has been widely used to improve deep neural networks in many research fields, such as computer vision. However, less work has been done in the context of text, pa…