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Ahmed Murtadha

Northwestern Polytechnical University

4 papers hereh-index 6229 citations13 works total

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

author position
  • middle author2
  • last author1

Across the 3 of 4 papers where every author was matched, so the position is known.

fields
  • cs.DB2
  • cs.CL1
  • cs.LG1
affiliations
  • Northwestern Polytechnical University
same name
  • Ahmed Murtadha — 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
20182022
most citedGradual Machine Learning for Aspect-level Sentiment Analysis

2 citations · 3 across the 2 of their papers we have counts for

collaborators

4 papers

cs.CL2022★ 1 cited

Relationship of the language distance to English ability of a country

Cao Xinxin, Lei Xiaolan, Murtadha Ahmed

Language difference is one of the factors that hinder the acquisition of second language skills. In this article, we introduce a novel solution that leverages the strength of deep…

cs.LG2019★ 2 cited

Gradual Machine Learning for Aspect-level Sentiment Analysis

Yanyan Wang, Qun Chen, Jiquan Shen +3

The state-of-the-art solutions for Aspect-Level Sentiment Analysis (ALSA) were built on a variety of deep neural networks (DNN), whose efficacy depends on large amounts of accurate…

cs.DB2018

Gradual Machine Learning for Entity Resolution

Boyi Hou, Qun Chen, Yanyan Wang +2

Usually considered as a classification problem, entity resolution (ER) can be very challenging on real data due to the prevalence of dirty values. The state-of-the-art solutions fo…

cs.DB2018

Improving Machine-based Entity Resolution with Limited Human Effort: A Risk Perspective

Zhaoqiang Chen, Qun Chen, Boyi Hou +2

Pure machine-based solutions usually struggle in the challenging classification tasks such as entity resolution (ER). To alleviate this problem, a recent trend is to involve the hu…

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