49 citations · 120 across the 26 of their papers we have counts for
29 papers
SSE: A Metric for Evaluating Search System Explainability
Catherine Chen, Carsten Eickhoff
Explainable Information Retrieval (XIR) is a growing research area focused on enhancing transparency and trustworthiness of the complex decision-making processes taking place in mo…
CroCoSum: A Benchmark Dataset for Cross-Lingual Code-Switched Summarization
Ruochen Zhang, Carsten Eickhoff
Cross-lingual summarization (CLS) has attracted increasing interest in recent years due to the availability of large-scale web-mined datasets and the advancements of multilingual l…
Evaluating Search System Explainability with Psychometrics and Crowdsourcing
Catherine Chen, Carsten Eickhoff
As information retrieval (IR) systems, such as search engines and conversational agents, become ubiquitous in various domains, the need for transparent and explainable systems grow…
NEWTS: A Corpus for News Topic-Focused Summarization
Seyed Ali Bahrainian, Sheridan Feucht, Carsten Eickhoff
Text summarization models are approaching human levels of fidelity. Existing benchmarking corpora provide concordant pairs of full and abridged versions of Web, news or, profession…
Image-Like Graph Representations for Improved Molecular Property Prediction
Toni Sagayaraj, Carsten Eickhoff
Research into deep learning models for molecular property prediction has primarily focused on the development of better Graph Neural Network (GNN) architectures. Though new GNN var…
A Novel Corpus of Discourse Structure in Humans and Computers
Babak Hemmatian, Sheridan Feucht, Rachel Avram +7
We present a novel corpus of 445 human- and computer-generated documents, comprising about 27,000 clauses, annotated for semantic clause types and coherence relations that allow fo…