Search Results for author:
Found 6 papers, 2 papers with code
Data Contamination Report from the 2024 CONDA Shared Task
The workshop fostered a shared task to collect evidence on data contamination in current available datasets and models.
News Deja Vu: Connecting Past and Present with Semantic Search
Social scientists and the general public often analyze contemporary events by drawing parallels with the past, a process complicated by the vast, noisy, and unstructured nature of historical texts.
Contrastive Entity Coreference and Disambiguation for Historical Texts
Massive-scale historical document collections are crucial for social science research.
coreference-resolution
Cross Document Coreference Resolution
+1
Newswire: A Large-Scale Structured Database of a Century of Historical News
A text classifier is used to ensure that we only include newswire articles, which historically are in the public domain.
American Stories: A Large-Scale Structured Text Dataset of Historical U.S. Newspapers
The resulting American Stories dataset provides high quality data that could be used for pre-training a large language model to achieve better understanding of historical English and historical world knowledge.
Noise-Robust De-Duplication at Scale
Identifying near duplicates within large, noisy text corpora has a myriad of applications that range from de-duplicating training datasets, reducing privacy risk, and evaluating test set leakage, to identifying reproduced news articles and literature within large corpora.
