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Found 9 papers, 2 papers with code
RelDiff: Enriching Knowledge Graph Relation Representations for Sensitivity Classification
The relationships that exist between entities can be a reliable indicator for classifying sensitive information, such as commercially sensitive information.
Ranked #1 on
Sensitivity Classification
on GovSensitivity
Zero-shot and Few-shot Generation Strategies for Artificial Clinical Records
The challenge of accessing historical patient data for clinical research, while adhering to privacy regulations, is a significant obstacle in medical science.
Query Exposure Prediction for Groups of Documents in Rankings
With this in mind, it is beneficial to predict the amount of exposure that a group of documents is likely to receive in the results of the first stage retrieval process, in order to ensure that there are a sufficient number of documents included from each of the groups.
SARA: A Collection of Sensitivity-Aware Relevance Assessments
To develop such systems, there is a need for test collections that contain relevance assessments for a set of information needs as well as ground-truth labels for a variety of sensitivity categories.
Effective Hierarchical Information Threading Using Network Community Detection
With the tremendous growth in the volume of information produced online every day (e. g. news articles), there is a need for automatic methods to identify related information about events as the events evolve over time (i. e., information threads).
Ranked #1 on
Information Threading
on NewSHead
Overview of the TREC 2021 Fair Ranking Track
The 2021 Fair Ranking track aimed to ensure that documents that are about, or somehow represent, certain protected characteristics receive a fair exposure to the Wikipedia editors, so that the documents have an fair opportunity of being improved and, therefore, be well-represented in Wikipedia.
Overview of the TREC 2022 Fair Ranking Track
The 2022 Fair Ranking track aimed to ensure that documents that are about, or somehow represent, certain protected characteristics receive a fair exposure to the Wikipedia editors, so that the documents have an fair opportunity of being improved and, therefore, be well-represented in Wikipedia.
Identifying chronological and coherent information threads using 5W1H questions and temporal relationships
Due to the massive volume of articles produced online every day, it is challenging for online platforms (e. g., news agencies) to present the information about an event, activity or discussion to their users in an easily digestible format.
Ranked #1 on
Information Threading
on Multi-News
The FACTS of Technology-Assisted Sensitivity Review
However, many government documents contain sensitive information, such as personal or confidential information.
