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A survey on bias in machine learning research
A Mikołajczyk-Bareła, M Grochowski - arxiv preprint arxiv:2308.11254, 2023 - arxiv.org
Current research on bias in machine learning often focuses on fairness, while overlooking
the roots or causes of bias. However, bias was originally defined as a" systematic error," …
the roots or causes of bias. However, bias was originally defined as a" systematic error," …
A natural language processing approach to detect inconsistencies in death investigation notes attributing suicide circumstances
Background Data accuracy is essential for scientific research and policy development. The
National Violent Death Reporting System (NVDRS) data is widely used for discovering the …
National Violent Death Reporting System (NVDRS) data is widely used for discovering the …
The Problem of Coherence in Natural Language Explanations of Recommendations
Providing natural language explanations for recommendations is particularly useful from the
perspective of a non-expert user. Although several methods for providing such explanations …
perspective of a non-expert user. Although several methods for providing such explanations …
Statistical dataset evaluation: Reliability, difficulty, and validity
Datasets serve as crucial training resources and model performance trackers. However,
existing datasets have exposed a plethora of problems, inducing biased models and …
existing datasets have exposed a plethora of problems, inducing biased models and …
ChatEL: Entity Linking with Chatbots
Entity Linking (EL) is an essential and challenging task in natural language processing that
seeks to link some text representing an entity within a document or sentence with its …
seeks to link some text representing an entity within a document or sentence with its …
Uncovering Misattributed Suicide Causes through Annotation Inconsistency Detection in Death Investigation Notes
Data accuracy is essential for scientific research and policy development. The National
Violent Death Reporting System (NVDRS) data is widely used for discovering the patterns …
Violent Death Reporting System (NVDRS) data is widely used for discovering the patterns …
Statistical dataset evaluation: A case study on named entity recognition
Datasets serve as crucial training resources and model performance trackers. However,
existing datasets have exposed a plethora of problems, inducing biased models and …
existing datasets have exposed a plethora of problems, inducing biased models and …
Review of Technology Term Recognition Studies Based on Machine Learning
H Yamin, W **aoyan, C Fang - Data Analysis and …, 2022 - manu44.magtech.com.cn
[Objective] This paper reviews the status quo and future directions of technology term
recognition studies based on machine learning.[Coverage] We searched “technology term …
recognition studies based on machine learning.[Coverage] We searched “technology term …
Using Custom NER Models to Extract DOD Specific Entities from Contracts
KP Haberstich - 2021 - scholar.afit.edu
Abstract The Air Force Sustainment Center collected 3.7 million contracts onto the Air Force
Research Laboratory's high power computers. They are in the format of a. pdf or scanned …
Research Laboratory's high power computers. They are in the format of a. pdf or scanned …
[HTML][HTML] A survey on bias in machine learning research
AMBM Grochowski - ar5iv.org
Current research on bias in machine learning often focuses on fairness, while overlooking
the roots or causes of bias. However, bias was originally defined as a” systematic error,” …
the roots or causes of bias. However, bias was originally defined as a” systematic error,” …