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20182025
most citedChallenges and Strategies in Cross-Cultural NLP

12 citations · 17 across the 8 of their papers we have counts for

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8 papers · 1 filter

cs.CL20251 cited

Specializing Large Language Models to Simulate Survey Response Distributions for Global Populations

Yong Cao, Haijiang Liu, Arnav Arora +3

Large-scale surveys are essential tools for informing social science research and policy, but running surveys is costly and time-intensive. If we could accurately simulate group-le…

cs.CL20251 cited

Large Language Models Penetration in Scholarly Writing and Peer Review

Li Zhou, Ruijie Zhang, Xunlian Dai +2

While the widespread use of Large Language Models (LLMs) brings convenience, it also raises concerns about the credibility of academic research and scholarly processes. To better u…

cs.CL2022

Generalized Quantifiers as a Source of Error in Multilingual NLU Benchmarks

Ruixiang Cui, Daniel Hershcovich, Anders Søgaard

Logical approaches to representing language have developed and evaluated computational models of quantifier words since the 19th century, but today's NLU models still struggle to c…

cs.CL202212 cited

Challenges and Strategies in Cross-Cultural NLP

Daniel Hershcovich, Stella Frank, Heather Lent +11

Various efforts in the Natural Language Processing (NLP) community have been made to accommodate linguistic diversity and serve speakers of many different languages. However, it is…

cs.CL20211 cited

Great Service! Fine-grained Parsing of Implicit Arguments

Ruixiang Cui, Daniel Hershcovich

Broad-coverage meaning representations in NLP mostly focus on explicitly expressed content. More importantly, the scarcity of datasets annotating diverse implicit roles limits empi…

cs.CL20211 cited

Meaning Representation of Numeric Fused-Heads in UCCA

Ruixiang Cui, Daniel Hershcovich

We exhibit that the implicit UCCA parser does not address numeric fused-heads (NFHs) consistently, which could result either from inconsistent annotation, insufficient training dat…