11 citations · 15 across the 6 of their papers we have counts for
12 papers
Revisiting text decomposition methods for NLI-based factuality scoring of summaries
John Glover, Federico Fancellu, Vasudevan Jagannathan +2
Scoring the factuality of a generated summary involves measuring the degree to which a target text contains factual information using the input document as support. Given the simil…
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…
On Efficiently Acquiring Annotations for Multilingual Models
Joel Ruben Antony Moniz, Barun Patra, Matthew R. Gormley
When tasked with supporting multiple languages for a given problem, two approaches have arisen: training a model for each language with the annotation budget divided equally among…
Leveraging Pretrained Models for Automatic Summarization of Doctor-Patient Conversations
Longxiang Zhang, Renato Negrinho, Arindam Ghosh +4
Fine-tuning pretrained models for automatically summarizing doctor-patient conversation transcripts presents many challenges: limited training data, significant domain shift, long…
Comparative Error Analysis in Neural and Finite-state Models for Unsupervised Character-level Transduction
Maria Ryskina, Eduard Hovy, Taylor Berg-Kirkpatrick +1
Traditionally, character-level transduction problems have been solved with finite-state models designed to encode structural and linguistic knowledge of the underlying process, whe…
An Empirical Investigation of Beam-Aware Training in Supertagging
Renato Negrinho, Matthew R. Gormley, Geoffrey J. Gordon
Structured prediction is often approached by training a locally normalized model with maximum likelihood and decoding approximately with beam search. This approach leads to mismatc…