output
20162026
most citedFusionNet: A deep fully residual convolutional neural network for image segmentation in connectomics

296 citations

Showing cs.CLShow all

6 papers · 1 filter

cs.CL2023★ 24 cited

PromptMTopic: Unsupervised Multimodal Topic Modeling of Memes using Large Language Models

Nirmalendu Prakash, Han Wang, Nguyen Khoi Hoang +2

The proliferation of social media has given rise to a new form of communication: memes. Memes are multimodal and often contain a combination of text and visual elements that convey…

cs.CL2023★ 8 cited

A Survey on Out-of-Distribution Evaluation of Neural NLP Models

Xinzhe Li, Ming Liu, Shang Gao +1

Adversarial robustness, domain generalization and dataset biases are three active lines of research contributing to out-of-distribution (OOD) evaluation on neural NLP models. Howev…

cs.CL2023★ 6 cited

ViMQ: A Vietnamese Medical Question Dataset for Healthcare Dialogue System Development

Ta Duc Huy, Nguyen Anh Tu, Tran Hoang Vu +4

Existing medical text datasets usually take the form of question and answer pairs that support the task of natural language generation, but lacking the composite annotations of the…

cs.CL2022★ 5 cited

From Disfluency Detection to Intent Detection and Slot Filling

Mai Hoang Dao, Thinh Hung Truong, Dat Quoc Nguyen

We present the first empirical study investigating the influence of disfluency detection on downstream tasks of intent detection and slot filling. We perform this study for Vietnam…

cs.CL2021

PhoMT: A High-Quality and Large-Scale Benchmark Dataset for Vietnamese-English Machine Translation

Long Doan, Linh The Nguyen, Nguyen Luong Tran +2

We introduce a high-quality and large-scale Vietnamese-English parallel dataset of 3.02M sentence pairs, which is 2.9M pairs larger than the benchmark Vietnamese-English machine tr…

cs.CL2020★ 156 cited

A Label Attention Model for ICD Coding from Clinical Text

Thanh Vu, Dat Quoc Nguyen, Anthony Nguyen

ICD coding is a process of assigning the International Classification of Disease diagnosis codes to clinical/medical notes documented by health professionals (e.g. clinicians). Thi…