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20132025
most citedAnalysis of the Impact of Negative Sampling on Link Prediction in Knowledge Graphs

61 citations · 107 across the 16 of their papers we have counts for

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cs.CL2023

What Makes a Good Paraphrase: Do Automated Evaluations Work?

Anna Moskvina, Bhushan Kotnis, Chris Catacata +2

Paraphrasing is the task of expressing an essential idea or meaning in different words. But how different should the words be in order to be considered an acceptable paraphrase? An…

cs.CL2022★ 4 cited

Human-Centric Research for NLP: Towards a Definition and Guiding Questions

Bhushan Kotnis, Kiril Gashteovski, Julia Gastinger +7

With Human-Centric Research (HCR) we can steer research activities so that the research outcome is beneficial for human stakeholders, such as end users. But what exactly makes rese…

cs.CL2021

milIE: Modular & Iterative Multilingual Open Information Extraction

Bhushan Kotnis, Kiril Gashteovski, Daniel Oñoro Rubio +5

Open Information Extraction (OpenIE) is the task of extracting (subject, predicate, object) triples from natural language sentences. Current OpenIE systems extract all triple slots…

cs.CL2021

AnnIE: An Annotation Platform for Constructing Complete Open Information Extraction Benchmark

Niklas Friedrich, Kiril Gashteovski, Mingying Yu +4

Open Information Extraction (OIE) is the task of extracting facts from sentences in the form of relations and their corresponding arguments in schema-free manner. Intrinsic perform…

cs.CL2021★ 1 cited

BenchIE: A Framework for Multi-Faceted Fact-Based Open Information Extraction Evaluation

Kiril Gashteovski, Mingying Yu, Bhushan Kotnis +3

Intrinsic evaluations of OIE systems are carried out either manually -- with human evaluators judging the correctness of extractions -- or automatically, on standardized benchmarks…