9 citations · 14 across the 11 of their papers we have counts for
11 papers
GDTB: Genre Diverse Data for English Shallow Discourse Parsing across Modalities, Text Types, and Domains
Yang Janet Liu, Tatsuya Aoyama, Wesley Scivetti +6
Work on shallow discourse parsing in English has focused on the Wall Street Journal corpus, the only large-scale dataset for the language in the PDTB framework. However, the data i…
Data Checklist: On Unit-Testing Datasets with Usable Information
Heidi C. Zhang, Shabnam Behzad, Kawin Ethayarajh +1
Model checklists (Ribeiro et al., 2020) have emerged as a useful tool for understanding the behavior of LLMs, analogous to unit-testing in software engineering. However, despite da…
MultiMUC: Multilingual Template Filling on MUC-4
William Gantt, Shabnam Behzad, Hannah YoungEun An +4
We introduce MultiMUC, the first multilingual parallel corpus for template filling, comprising translations of the classic MUC-4 template filling benchmark into five languages: Ara…
GENTLE: A Genre-Diverse Multilayer Challenge Set for English NLP and Linguistic Evaluation
Tatsuya Aoyama, Shabnam Behzad, Luke Gessler +6
We present GENTLE, a new mixed-genre English challenge corpus totaling 17K tokens and consisting of 8 unusual text types for out-of domain evaluation: dictionary entries, esports c…
Sentence-level Feedback Generation for English Language Learners: Does Data Augmentation Help?
Shabnam Behzad, Amir Zeldes, Nathan Schneider
In this paper, we present strong baselines for the task of Feedback Comment Generation for Writing Learning. Given a sentence and an error span, the task is to generate a feedback…
ELQA: A Corpus of Metalinguistic Questions and Answers about English
Shabnam Behzad, Keisuke Sakaguchi, Nathan Schneider +1
We present ELQA, a corpus of questions and answers in and about the English language. Collected from two online forums, the >70k questions (from English learners and others) cover…
DisCoDisCo at the DISRPT2021 Shared Task: A System for Discourse Segmentation, Classification, and Connective Detection
Luke Gessler, Shabnam Behzad, Yang Janet Liu +3
This paper describes our submission to the DISRPT2021 Shared Task on Discourse Unit Segmentation, Connective Detection, and Relation Classification. Our system, called DisCoDisCo,…
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…
AMALGUM -- A Free, Balanced, Multilayer English Web Corpus
Luke Gessler, Siyao Peng, Yang Liu +3
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 t…
A Cross-Genre Ensemble Approach to Robust Reddit Part of Speech Tagging
Shabnam Behzad, Amir Zeldes
Part of speech tagging is a fundamental NLP task often regarded as solved for high-resource languages such as English. Current state-of-the-art models have achieved high accuracy,…
Locating the Source in Real-world Diffusion Network
Shabnam Behzad, Arman Sepehr, Hamid Beigy +1
The problem of identifying the source of a propagation based on limited observations has been studied significantly in recent years, as it can help reducing the damage caused by un…