activity
20152022
most citedYara Parser: A Fast and Accurate Dependency Parser

71 citations · 155 across the 11 of their papers we have counts for

collaborators

17 papers

cs.CL20221 cited

XLTime: A Cross-Lingual Knowledge Transfer Framework for Temporal Expression Extraction

Yuwei Cao, William Groves, Tanay Kumar Saha +4

Temporal Expression Extraction (TEE) is essential for understanding time in natural language. It has applications in Natural Language Processing (NLP) tasks such as question answer…

cs.CL2020

Creating a Domain-diverse Corpus for Theory-based Argument Quality Assessment

Lily Ng, Anne Lauscher, Joel Tetreault +1

Computational models of argument quality (AQ) have focused primarily on assessing the overall quality or just one specific characteristic of an argument, such as its convincingness…

cs.SI20204 cited

Clustering of Social Media Messages for Humanitarian Aid Response during Crisis

Swati Padhee, Tanay Kumar Saha, Joel Tetreault +1

Social media has quickly grown into an essential tool for people to communicate and express their needs during crisis events. Prior work in analyzing social media data for crisis m…

cs.CL2020

Personalizing Grammatical Error Correction: Adaptation to Proficiency Level and L1

Maria Nadejde, Joel Tetreault

Grammar error correction (GEC) systems have become ubiquitous in a variety of software applications, and have started to approach human-level performance for some datasets. However…

cs.CL2020

Rhetoric, Logic, and Dialectic: Advancing Theory-based Argument Quality Assessment in Natural Language Processing

Anne Lauscher, Lily Ng, Courtney Napoles +1

Though preceding work in computational argument quality (AQ) mostly focuses on assessing overall AQ, researchers agree that writers would benefit from feedback targeting individual…

cs.LG20204 cited

Multimodal Categorization of Crisis Events in Social Media

Mahdi Abavisani, Liwei Wu, Shengli Hu +2

Recent developments in image classification and natural language processing, coupled with the rapid growth in social media usage, have enabled fundamental advances in detecting bre…