430 citations · 494 across the 12 of their papers we have counts for
27 papers · 1 filter
Predicting Long-Term Citations from Short-Term Linguistic Influence
Sandeep Soni, David Bamman, Jacob Eisenstein
A standard measure of the influence of a research paper is the number of times it is cited. However, papers may be cited for many reasons, and citation count offers limited informa…
Pre-trained Sentence Embeddings for Implicit Discourse Relation Classification
Murali Raghu Babu Balusu, Yangfeng Ji, Jacob Eisenstein
Implicit discourse relations bind smaller linguistic units into coherent texts. Automatic sense prediction for implicit relations is hard, because it requires understanding the sem…
Learning to Look Inside: Augmenting Token-Based Encoders with Character-Level Information
Yuval Pinter, Amanda Stent, Mark Dredze +1
Commonly-used transformer language models depend on a tokenization schema which sets an unchangeable subword vocabulary prior to pre-training, destined to be applied to all downstr…
Revisiting the Primacy of English in Zero-shot Cross-lingual Transfer
Iulia Turc, Kenton Lee, Jacob Eisenstein +2
Despite their success, large pre-trained multilingual models have not completely alleviated the need for labeled data, which is cumbersome to collect for all target languages. Zero…
Abolitionist Networks: Modeling Language Change in Nineteenth-Century Activist Newspapers
Sandeep Soni, Lauren Klein, Jacob Eisenstein
The abolitionist movement of the nineteenth-century United States remains among the most significant social and political movements in US history. Abolitionist newspapers played a…
Will it Unblend?
Yuval Pinter, Cassandra L. Jacobs, Jacob Eisenstein
Natural language processing systems often struggle with out-of-vocabulary (OOV) terms, which do not appear in training data. Blends, such as "innoventor", are one particularly chal…