activity
20172022
most citedSemEval-2017 Task 1: Semantic Textual Similarity - Multilingual and Cross-lingual Focused Evaluation

596 citations · 881 across the 24 of their papers we have counts for

collaborators

37 papers

cs.CL20221 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.CL202217 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.CL202210 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.CL202263 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.CL20222 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.CL202210 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…