519 citations · 1.7k across the 93 of their papers we have counts for
181 papers
Retrieval as Attention: End-to-end Learning of Retrieval and Reading within a Single Transformer
Zhengbao Jiang, Luyu Gao, Jun Araki +4
Systems for knowledge-intensive tasks such as open-domain question answering (QA) usually consist of two stages: efficient retrieval of relevant documents from a large corpus and d…
MasakhaNER 2.0: Africa-centric Transfer Learning for Named Entity Recognition
David Ifeoluwa Adelani, Graham Neubig, Sebastian Ruder +42
African languages are spoken by over a billion people, but are underrepresented in NLP research and development. The challenges impeding progress include the limited availability o…
English Contrastive Learning Can Learn Universal Cross-lingual Sentence Embeddings
Yau-Shian Wang, Ashley Wu, Graham Neubig
Universal cross-lingual sentence embeddings map semantically similar cross-lingual sentences into a shared embedding space. Aligning cross-lingual sentence embeddings usually requi…
DiffusER: Discrete Diffusion via Edit-based Reconstruction
Machel Reid, Vincent J. Hellendoorn, Graham Neubig
In text generation, models that generate text from scratch one token at a time are currently the dominant paradigm. Despite being performant, these models lack the ability to revis…
He Said, She Said: Style Transfer for Shifting the Perspective of Dialogues
Amanda Bertsch, Graham Neubig, Matthew R. Gormley
In this work, we define a new style transfer task: perspective shift, which reframes a dialogue from informal first person to a formal third person rephrasing of the text. This tas…
Are Representations Built from the Ground Up? An Empirical Examination of Local Composition in Language Models
Emmy Liu, Graham Neubig
Compositionality, the phenomenon where the meaning of a phrase can be derived from its constituent parts, is a hallmark of human language. At the same time, many phrases are non-co…