activity
20132022
most citedSemEval-2017 Task 1: Semantic Textual Similarity - Multilingual and Cross-lingual Focused Evaluation

596 citations · 1.1k across the 37 of their papers we have counts for

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Showing 2022Show all

6 papers · 1 filter

cs.CL2022★ 1 cited

GisPy: A Tool for Measuring Gist Inference Score in Text

Pedram Hosseini, Christopher R. Wolfe, Mona Diab +1

Decision making theories such as Fuzzy-Trace Theory (FTT) suggest that individuals tend to rely on gist, or bottom-line meaning, in the text when making decisions. In this work, we…

cs.CL2022★ 17 cited

Consistent Human Evaluation of Machine Translation across Language Pairs

Daniel Licht, Cynthia Gao, Janice Lam +3

Obtaining meaningful quality scores for machine translation systems through human evaluation remains a challenge given the high variability between human evaluators, partly due to…

cs.CL2022★ 10 cited

Meta AI at Arabic Hate Speech 2022: MultiTask Learning with Self-Correction for Hate Speech Classification

Badr AlKhamissi, Mona Diab

In this paper, we tackle the Arabic Fine-Grained Hate Speech Detection shared task and demonstrate significant improvements over reported baselines for its three subtasks. The task…

cs.CL2022★ 63 cited

A Review on Language Models as Knowledge Bases

Badr AlKhamissi, Millicent Li, Asli Celikyilmaz +2

Recently, there has been a surge of interest in the NLP community on the use of pretrained Language Models (LMs) as Knowledge Bases (KBs). Researchers have shown that LMs trained o…

cs.CL2022★ 2 cited

Towards Responsible Natural Language Annotation for the Varieties of Arabic

A. Stevie Bergman, Mona T. Diab

When building NLP models, there is a tendency to aim for broader coverage, often overlooking cultural and (socio)linguistic nuance. In this position paper, we make the case for car…

cs.CL2022★ 10 cited

CALCS 2021 Shared Task: Machine Translation for Code-Switched Data

Shuguang Chen, Gustavo Aguilar, Anirudh Srinivasan +2

To date, efforts in the code-switching literature have focused for the most part on language identification, POS, NER, and syntactic parsing. In this paper, we address machine tran…