Melissa Dell

According to our database, Melissa Dell authored at least 17 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Data Contamination Report from the 2024 CONDA Shared Task.

Oscar Sainz, Iker García-Ferrero, Alon Jacovi, Jon Ander Campos, Yanai Elazar, Eneko Agirre, Yoav Goldberg, Wei-Lin Chen, Jenny Chim, Leshem Choshen, Luca D'Amico-Wong, Melissa Dell, Run-Ze Fan, Shahriar Golchin, Yucheng Li, Pengfei Liu, Bhavish Pahwa, Ameya Prabhu, Suryansh Sharma, Emily Silcock, Kateryna Solonko, David Stap, Mihai Surdeanu, Yu-Min Tseng, Vishaal Udandarao, Zengzhi Wang, Ruijie Xu, Jinglin Yang

CoRR, 2024

Deep Learning for Economists.

Melissa Dell

CoRR, 2024

News Deja Vu: Connecting Past and Present with Semantic Search.

Brevin Franklin, Emily Silcock, Abhishek Arora, Tom Bryan, Melissa Dell

CoRR, 2024

Newswire: A Large-Scale Structured Database of a Century of Historical News.

Emily Silcock, Abhishek Arora, Luca D'Amico-Wong, Melissa Dell

CoRR, 2024

Contrastive Entity Coreference and Disambiguation for Historical Texts.

Abhishek Arora, Emily Silcock, Melissa Dell, Leander Heldring

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Efficient OCR for Building a Diverse Digital History.

Jacob Carlson, Tom Bryan, Melissa Dell

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

LinkTransformer: A Unified Package for Record Linkage with Transformer Language Models.

Abhishek Arora, Melissa Dell

CoRR, 2023

A Massive Scale Semantic Similarity Dataset of Historical English.

Emily Silcock, Melissa Dell

CoRR, 2023

Linking Representations with Multimodal Contrastive Learning.

Abhishek Arora, Xinmei Yang, Shao-Yu Jheng, Melissa Dell

CoRR, 2023

A Massive Scale Semantic Similarity Dataset of Historical English.

Emily Silcock, Abhishek Arora, Melissa Dell

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

American Stories: A Large-Scale Structured Text Dataset of Historical U.S. Newspapers.

Melissa Dell, Jacob Carlson, Tom Bryan, Emily Silcock, Abhishek Arora, Zejiang Shen, Luca D'Amico-Wong, Quan Le, Pablo Querubin, Leander Heldring

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Noise-Robust De-Duplication at Scale.

Emily Silcock, Luca D'Amico-Wong, Jinglin Yang, Melissa Dell

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Quantifying Character Similarity with Vision Transformers.

Xinmei Yang, Abhishek Arora, Shao-Yu Jheng, Melissa Dell

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

EfficientOCR: An Extensible, Open-Source Package for Efficiently Digitizing World Knowledge.

Tom Bryan, Jacob Carlson, Abhishek Arora, Melissa Dell

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

2021

LayoutParser: A Unified Toolkit for Deep Learning Based Document Image Analysis.

Zejiang Shen, Ruochen Zhang, Melissa Dell, Benjamin Charles Germain Lee, Jacob Carlson, Weining Li

Proceedings of the 16th International Conference on Document Analysis and Recognition, 2021

2020

OLALA: Object-Level Active Learning Based Layout Annotation.

Zejiang Shen, Jian Zhao, Melissa Dell, Yaoliang Yu, Weining Li

CoRR, 2020

A Large Dataset of Historical Japanese Documents with Complex Layouts.

Zejiang Shen, Kaixuan Zhang, Melissa Dell

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020