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20202023
most citedMaking Heads and Tails of Models with Marginal Calibration for Sparse Tagsets

2 citations · 2 across the 4 of their papers we have counts for

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cs.CL2023

CuRIAM: Corpus re Interpretation and Metalanguage in U.S. Supreme Court Opinions

Michael Kranzlein, Nathan Schneider, Kevin Tobia

Most judicial decisions involve the interpretation of legal texts; as such, judicial opinion requires the use of language as a medium to comment on or draw attention to other langu…

cs.CL2021

PASTRIE: A Corpus of Prepositions Annotated with Supersense Tags in Reddit International English

Michael Kranzlein, Emma Manning, Siyao Peng +4

We present the Prepositions Annotated with Supersense Tags in Reddit International English ("PASTRIE") corpus, a new dataset containing manually annotated preposition supersenses o…

cs.CL2021★ 2 cited

Making Heads and Tails of Models with Marginal Calibration for Sparse Tagsets

Michael Kranzlein, Nelson F. Liu, Nathan Schneider

For interpreting the behavior of a probabilistic model, it is useful to measure a model's calibration--the extent to which it produces reliable confidence scores. We address the op…

cs.CL2020

Team DoNotDistribute at SemEval-2020 Task 11: Features, Finetuning, and Data Augmentation in Neural Models for Propaganda Detection in News Articles

Michael Kranzlein, Shabnam Behzad, Nazli Goharian

This paper presents our systems for SemEval 2020 Shared Task 11: Detection of Propaganda Techniques in News Articles. We participate in both the span identification and technique c…

cs.CL2020

Lexical Semantic Recognition

Nelson F. Liu, Daniel Hershcovich, Michael Kranzlein +1

In lexical semantics, full-sentence segmentation and segment labeling of various phenomena are generally treated separately, despite their interdependence. We hypothesize that a un…