Recent papers
Please look at Google Scholar to see the list of my most recept up-to-date papers, and be sure to check out https://techatbloomberg.com/ai as well!
Category: Journal Papers
Peer-reviewed papers, published in journals.
Report on the first workshop on bias in automatic knowledge graph construction at AKBC 2020
We report on the First Workshop on Bias in Automatic Knowledge Graph Construction (KG-BIAS), which was co-located with the Automated Knowledge Base Construction (AKBC) 2020 conference. Identifying and possibly remediating any sort of bias in knowledge graphs, or in the methods used to construct or query them, has clear implications…
Special issue on knowledge graphs and semantics in text analysis and retrieval
Knowledge graphs are an effective way to store semantics in a structured format that is easily used by computer systems. In the past few decades, work across different research communities led to scalable knowledge acquisition techniques for building large-scale knowledge graphs. The result is the emergence of large publicly available…
Overview of The First Workshop on Knowledge Graphs and Semantics for Text Retrieval and Analysis (KG4IR)
Knowledge graphs have been used throughout the history of information retrieval for a variety of tasks. Advances in knowledge acquisition and alignment technology in the last few years have given rise to a body of new approaches for utilizing knowledge graphs in text retrieval tasks. This report presents the motivation,…
Using Temporal Bursts for Query Modeling
In this paper, we present an approach to query modeling that leverages the temporal distribution of documents in an initially retrieved set of documents.
Do support groups members disclose less to their partners? the dynamics of HIV disclosure in four African countries
To appear in BMC Public Health. Background: Recent efforts to curtail the HIV epidemic in Africa have emphasized preventing sexual transmission to partners through antiretroviral therapy. A component of current strategies is disclosure to partners, thus understanding its motivations will help maximise results. This study examines the rates, dynamics and consequences…
Women’s views on consent, counseling and confidentiality in Pmtct: a mixed-methods study in four African countries
Accepted subject to revisions. Ambitious UN goals to reduce the mother-to-child transmission of HIV have not been met in much of Sub-Saharan Africa. This paper focuses on the quality of information provision and counseling and disclosure patterns in Burkina Faso, Kenya, Malawi and Uganda to identify how services can be…
Mapping queries to the Linking Open Data cloud: A case study using DBpedia
We introduce the task of mapping search engine queries to DBpedia, a major linking hub in the Linking Open Data cloud. We propose and compare various methods for addressing this task, using a mixture of information retrieval and machine learning techniques. Specifically, we present a supervised machine learning-based method to…
Result diversification based on query-specific cluster ranking
Result diversification is a retrieval strategy for dealing with ambiguous or multi-faceted queries by providing documents that cover as many facets of the query as possible. We propose a result diversification framework based on query-specific clustering and cluster ranking, in which diversification is restricted to documents belonging to clusters that…
Conceptual language models for domain-specific retrieval
Over the years, various meta-languages have been used to manually enrich documents with conceptual knowledge of some kind. Examples include keyword assignment to citations or, more recently, tags to websites. In this paper we propose generative concept models as an extension to query modeling within the language modeling framework, which…