29 citations · 75 across the 8 of their papers we have counts for
9 papers
Benchmark Granularity and Model Robustness for Image-Text Retrieval
Mariya Hendriksen, Shuo Zhang, Ridho Reinanda +3
Image-Text Retrieval (ITR) systems are central to multimodal information access, with Vision-Language Models (VLMs) showing strong performance on standard benchmarks. However, thes…
Dense Retrieval Adaptation using Target Domain Description
Helia Hashemi, Yong Zhuang, Sachith Sri Ram Kothur +3
In information retrieval (IR), domain adaptation is the process of adapting a retrieval model to a new domain whose data distribution is different from the source domain. Existing…
Uncertainty over Uncertainty: Investigating the Assumptions, Annotations, and Text Measurements of Economic Policy Uncertainty
Katherine A. Keith, Christoph Teichmann, Brendan O'Connor +1
Methods and applications are inextricably linked in science, and in particular in the domain of text-as-data. In this paper, we examine one such text-as-data application, an establ…
Proceedings of the KG-BIAS Workshop 2020 at AKBC 2020
Edgar Meij, Tara Safavi, Chenyan Xiong +3
The KG-BIAS 2020 workshop touches on biases and how they surface in knowledge graphs (KGs), biases in the source data that is used to create KGs, methods for measuring or remediati…
Evaluating the Calibration of Knowledge Graph Embeddings for Trustworthy Link Prediction
Tara Safavi, Danai Koutra, Edgar Meij
Little is known about the trustworthiness of predictions made by knowledge graph embedding (KGE) models. In this paper we take initial steps toward this direction by investigating…
Identifying Notable News Stories
Antonia Saravanou, Giorgio Stefanoni, Edgar Meij
The volume of news content has increased significantly in recent years and systems to process and deliver this information in an automated fashion at scale are becoming increasingl…