Joel Tetreault

4 paper cards in Mova's library · 2015–2021

Joel Tetreault wrote 4 of the papers Mova reads, in 2015–2021, most of them on Machine translation, Dependency parsing, Part-of-speech tagging; often with Amanda Stent, Eleftheria Briakou, Ellie Pavlick.

The profile is the library's match of the name; two people with one name are not always told apart.

Papers

Evaluating the Evaluation Metrics for Style Transfer: A Case Study in Multilingual Formality Transfer (2021)
A meta-evaluation of automatic metrics for formality style transfer, the first multilingual one, covering English, Brazilian Portuguese, French and Italian.
Dear Sir or Madam, May I Introduce the GYAFC Dataset: Corpus, Benchmarks and Metrics for Formality Style Transfer (2018)
The paper builds the first large parallel corpus for formality transfer. It takes about 53,000 informal sentences each from two Yahoo Answers domains, filtered for length and form, and has crowd workers write one formal rewrite per sentence. Tune and test sets get four expert rewrites each, to reduce the noise of a…
An Empirical Analysis of Formality in Online Communication (2016)
The paper studies sentence-level formality. Crowd workers rated sentences from four genres (news, blogs, emails and Yahoo Answers) on a scale from -3 (very informal) to +3 (very formal), and the agreement among raters is measured. A ridge regression model is then trained on eleven groups of features: n-grams, word…
It Depends: Dependency Parser Comparison Using A Web-based Evaluation Tool (2015)
The authors compare ten statistical dependency parsers on the English OntoNotes 5 corpus, which has seven genres and about 2.1 million training tokens, all trained with the same automatic POS tags and dependencies from the ClearNLP converter.