Joel Tetreault

It Depends: Dependency Parser Comparison Using A Web-based Evaluation Tool

2015

Jinho D. Choi, Joel Tetreault, Amanda Stent. Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 1: Long Papers). 2015.

The CoNLL-2013 Shared Task on Grammatical Error Correction

2025 · arXiv (Cornell University)

The CoNLL-2013 shared task was devoted to grammatical error correction. In this paper, we give the task definition, present the data sets, and describe the evaluation metric and scorer used in the shared task. We …

Dialogue Act Classification with Context-Aware Self-Attention

2019 · arXiv (Cornell University)

Recent work in Dialogue Act classification has treated the task as a sequence labeling problem using hierarchical deep neural networks. We build on this prior work by leveraging the effectiveness of a context-aware self-attention mechanism …

A New Task and Dataset on Detecting Attacks on Human Rights Defenders

2023 · arXiv (Cornell University)

The ability to conduct retrospective analyses of attacks on human rights defenders over time and by location is important for humanitarian organizations to better understand historical or ongoing human rights violations and thus better manage …

BUMP: A Benchmark of Unfaithful Minimal Pairs for Meta-Evaluation of Faithfulness Metrics

2023

Liang Ma, Shuyang Cao, Robert L Logan IV, Di Lu, Shihao Ran, Ke Zhang, Joel Tetreault, Alejandro Jaimes. Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 2023.

Ground Truth for Grammaticality Correction Metrics

2015

Courtney Napoles, Keisuke Sakaguchi, Matt Post, Joel Tetreault. Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 2: Short Papers). 2015.

Dear Sir or Madam, May I Introduce the GYAFC Dataset: Corpus, Benchmarks and Metrics for Formality Style Transfer

2018

Style transfer is the task of automatically transforming a piece of text in one particular style into another.A major barrier to progress in this field has been a lack of training and evaluation datasets, as …