no code implementations • 18 Dec 2022 • Shabnam Behzad, Amir Zeldes, Nathan Schneider
In this paper, we present strong baselines for the task of Feedback Comment Generation for Writing Learning.
1 code implementation • 1 May 2022 • Shabnam Behzad, Keisuke Sakaguchi, Nathan Schneider, Amir Zeldes
We introduce a community-sourced dataset for English Language Question Answering (ELQA), which consists of more than 180k questions and answers on numerous topics about English language such as grammar, meaning, fluency, and etymology.
1 code implementation • EMNLP (DISRPT) 2021 • Luke Gessler, Shabnam Behzad, Yang Janet Liu, Siyao Peng, YIlun Zhu, Amir Zeldes
This paper describes our submission to the DISRPT2021 Shared Task on Discourse Unit Segmentation, Connective Detection, and Relation Classification.
no code implementations • SEMEVAL 2020 • Michael Kranzlein, Shabnam Behzad, Nazli Goharian
This paper presents our systems for SemEval 2020 Shared Task 11: Detection of Propaganda Techniques in News Articles.
1 code implementation • LREC 2020 • Luke Gessler, Siyao Peng, Yang Liu, YIlun Zhu, Shabnam Behzad, Amir Zeldes
We present a freely available, genre-balanced English web corpus totaling 4M tokens and featuring a large number of high-quality automatic annotation layers, including dependency trees, non-named entity annotations, coreference resolution, and discourse trees in Rhetorical Structure Theory.
1 code implementation • LREC 2020 • Shabnam Behzad, Amir Zeldes
However, when these models are applied to other corpora with different genres, and especially user-generated data from the Web, we see substantial drops in performance.