2 citations · 2 across the 1 of their papers we have counts for
3 papers
cs.CL2021
LSOIE: A Large-Scale Dataset for Supervised Open Information Extraction
Jacob Solawetz, Stefan Larson
Open Information Extraction (OIE) systems seek to compress the factual propositions of a sentence into a series of n-ary tuples. These tuples are useful for downstream tasks in nat…
cs.CL2019
An Evaluation Dataset for Intent Classification and Out-of-Scope Prediction
Stefan Larson, Anish Mahendran, Joseph J. Peper +8
Task-oriented dialog systems need to know when a query falls outside their range of supported intents, but current text classification corpora only define label sets that cover eve…
cs.CL2019★ 2 cited
Outlier Detection for Improved Data Quality and Diversity in Dialog Systems
Stefan Larson, Anish Mahendran, Andrew Lee +6
In a corpus of data, outliers are either errors: mistakes in the data that are counterproductive, or are unique: informative samples that improve model robustness. Identifying outl…