most citedRevealing the Technology Development of Natural Language Processing: A Scientific Entity-Centric Perspective

38 citations · 102 across the 12 of their papers we have counts for

collaborators

17 papers

cs.CL2026

Leveraging Human Reading Behavior for Keyphrase Extraction: A Webcam-based Eye-tracking Corpus

Chengzhi Zhang, Xinyi Yan, Wenqi Yu

Purpose: Keyphrases are statistically and semantically important textual units that can also attract readers' attention during comprehension. However, existing keyphrase extraction…

cs.CL20266 cited

Exploring Motivations for Algorithm Mention in the Domain of Natural Language Processing: A Deep Learning Approach

Yuzhuo Wang, Yi Xiang, Chengzhi Zhang

With the rise of data-intensive science, algorithms have become central to scientific research. In academic papers, algorithms are mentioned for different purposes, such as describ…

cs.CL202638 cited

Revealing the Technology Development of Natural Language Processing: A Scientific Entity-Centric Perspective

Heng Zhang, Chengzhi Zhang, Yuzhuo Wang

Most studies on technology development have been conducted from a thematic perspective, but the topics are coarse-grained and insufficient to accurately represent technology. The d…

cs.CL202617 cited

Utilizing Cognitive Signals Generated during Human Reading to Enhance Keyphrase Extraction from Microblogs

Xinyi Yan, Yingyi Zhang, Chengzhi Zhang

Microblogging platforms generate massive amounts of short, noisy, and dispersed user content, making automatic keyphrase extraction (AKE) an important but challenging task. Prior s…

cs.CY202618 cited

Do more heads imply better performance? An empirical study of team thought leaders' impact on scientific team performance

Yi Zhao, Yuzhuo Wang, Heng Zhang +4

Thought leadership plays a crucial role in boosting team performance; thus, teams with more thought leaders may perform better. However, the impact of the number of thought leaders…

cs.CL20264 cited

Extracting Problem and Method Sentence from Scientific Papers: A Context-enhanced Transformer Using Formulaic Expression Desensitization

Yingyi Zhang, Chengzhi Zhang

Billions of scientific papers lead to the need to identify essential parts from the massive text. Scientific research is an activity from putting forward problems to using methods.…