257 citations · 363 across the 10 of their papers we have counts for
10 papers
Using Large Language Models to Generate, Validate, and Apply User Intent Taxonomies
Chirag Shah, Ryen W. White, Reid Andersen +13
Log data can reveal valuable information about how users interact with Web search services, what they want, and how satisfied they are. However, analyzing user intents in log data…
CascadER: Cross-Modal Cascading for Knowledge Graph Link Prediction
Tara Safavi, Doug Downey, Tom Hope
Knowledge graph (KG) link prediction is a fundamental task in artificial intelligence, with applications in natural language processing, information retrieval, and biomedicine. Rec…
Relational World Knowledge Representation in Contextual Language Models: A Review
Tara Safavi, Danai Koutra
Relational knowledge bases (KBs) are commonly used to represent world knowledge in machines. However, while advantageous for their high degree of precision and interpretability, KB…
NegatER: Unsupervised Discovery of Negatives in Commonsense Knowledge Bases
Tara Safavi, Jing Zhu, Danai Koutra
Codifying commonsense knowledge in machines is a longstanding goal of artificial intelligence. Recently, much progress toward this goal has been made with automatic knowledge base…
CoDEx: A Comprehensive Knowledge Graph Completion Benchmark
Tara Safavi, Danai Koutra
We present CoDEx, a set of knowledge graph completion datasets extracted from Wikidata and Wikipedia that improve upon existing knowledge graph completion benchmarks in scope and l…
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…
Career Transitions and Trajectories: A Case Study in Computing
Tara Safavi, Maryam Davoodi, Danai Koutra
From artificial intelligence to network security to hardware design, it is well-known that computing research drives many important technological and societal advancements. However…
REGAL: Representation Learning-based Graph Alignment
Mark Heimann, Haoming Shen, Tara Safavi +1
Problems involving multiple networks are prevalent in many scientific and other domains. In particular, network alignment, or the task of identifying corresponding nodes in differe…
Graph Summarization Methods and Applications: A Survey
Yike Liu, Tara Safavi, Abhilash Dighe +1
While advances in computing resources have made processing enormous amounts of data possible, human ability to identify patterns in such data has not scaled accordingly. Efficient…