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Hoang Van

4 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author4

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CL4

identity via Semantic Scholar / OpenAlex

most citedCheap and Good? Simple and Effective Data Augmentation for Low Resource Machine Reading

6 citations · 6 across the 2 of their papers we have counts for

collaborators

4 papers

cs.CL2021

How May I Help You? Using Neural Text Simplification to Improve Downstream NLP Tasks

Hoang Van, Zheng Tang, Mihai Surdeanu

The general goal of text simplification (TS) is to reduce text complexity for human consumption. This paper investigates another potential use of neural TS: assisting machines perf…

cs.CL2021★ 6 cited

Cheap and Good? Simple and Effective Data Augmentation for Low Resource Machine Reading

Hoang Van, Vikas Yadav, Mihai Surdeanu

We propose a simple and effective strategy for data augmentation for low-resource machine reading comprehension (MRC). Our approach first pretrains the answer extraction components…

cs.CL2020

AutoMeTS: The Autocomplete for Medical Text Simplification

Hoang Van, David Kauchak, Gondy Leroy

The goal of text simplification (TS) is to transform difficult text into a version that is easier to understand and more broadly accessible to a wide variety of readers. In some do…

cs.CL2020

The Language of Food during the Pandemic: Hints about the Dietary Effects of Covid-19

Hoang Van, Ahmad Musa, Mihai Surdeanu +1

We study the language of food on Twitter during the pandemic lockdown in the United States, focusing on the two month period of March 15 to May 15, 2020. Specifically, we analyze o…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.