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James Caverlee

14 papers hereh-index 5411.4k citations394 works total

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

author position
  • middle author1
  • last author13

Across the 14 of 14 papers where every author was matched, so the position is known.

fields
  • cs.IR8
  • cs.CL4
  • cs.DL1
  • cs.LG1
same name
  • James Caverlee — 18 papers
  • James Caverlee — 2 papers
  • James Caverlee — 1 paper

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20172024
most citedMetaBalance: Improving Multi-Task Recommendations via Adapting Gradient Magnitudes of Auxiliary Tasks

46 citations · 85 across the 10 of their papers we have counts for

collaborators
Showing cs.CLShow all

4 papers · 1 filter

cs.CL2021★ 1 cited

Identifying Hijacked Reviews

Monika Daryani, James Caverlee

Fake reviews and review manipulation are growing problems on online marketplaces globally. Review Hijacking is a new review manipulation tactic in which unethical sellers "hijack"…

cs.CL2020

Infusing Disease Knowledge into BERT for Health Question Answering, Medical Inference and Disease Name Recognition

Yun He, Ziwei Zhu, Yin Zhang +2

Knowledge of a disease includes information of various aspects of the disease, such as signs and symptoms, diagnosis and treatment. This disease knowledge is critical for many heal…

cs.CL2020

PARADE: A New Dataset for Paraphrase Identification Requiring Computer Science Domain Knowledge

Yun He, Zhuoer Wang, Yin Zhang +2

We present a new benchmark dataset called PARADE for paraphrase identification that requires specialized domain knowledge. PARADE contains paraphrases that overlap very little at t…

cs.CL2017★ 5 cited

Online Deception Detection Refueled by Real World Data Collection

Wenlin Yao, Zeyu Dai, Ruihong Huang +1

The lack of large realistic datasets presents a bottleneck in online deception detection studies. In this paper, we apply a data collection method based on social network analysis…

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