5 citations · 7 across the 4 of their papers we have counts for
4 papers
Advances in Logic-Based Entity Resolution: Enhancing ASPEN with Local Merges and Optimality Criteria
Zhliang Xiang, Meghyn Bienvenu, Gianluca Cima +2
In this paper, we present ASPEN+, which extends an existing ASP-based system, ASPEN,for collective entity resolution with two important functionalities: support for local merges an…
ASPEN: ASP-Based System for Collective Entity Resolution
Zhiliang Xiang, Meghyn Bienvenu, Gianluca Cima +2
In this paper, we present ASPEN, an answer set programming (ASP) implementation of a recently proposed declarative framework for collective entity resolution (ER). While an ASP enc…
BLEnD: A Benchmark for LLMs on Everyday Knowledge in Diverse Cultures and Languages
Junho Myung, Nayeon Lee, Yi Zhou +19
Large language models (LLMs) often lack culture-specific knowledge of daily life, especially across diverse regions and non-English languages. Existing benchmarks for evaluating LL…
Combining Global and Local Merges in Logic-based Entity Resolution
Meghyn Bienvenu, Gianluca Cima, Víctor Gutiérrez-Basulto +1
In the recently proposed Lace framework for collective entity resolution, logical rules and constraints are used to identify pairs of entity references (e.g. author or paper ids) t…