We introduce a dataset for evidence/rationale extraction on an extreme
m...
Medical dialogue summarization is challenging due to the unstructured na...
Transformer-based models typically have a predefined bound to their inpu...
Scoring the factuality of a generated summary involves measuring the deg...
Much recent work has been devoted to the problem of ensuring that a neur...
In this work, we define a new style transfer task: perspective shift, wh...
When tasked with supporting multiple languages for a given problem, two
...
Fine-tuning pretrained models for automatically summarizing doctor-patie...
Structured prediction is often approached by training a locally normaliz...
Informal romanization is an idiosyncratic process used by humans in info...
Recent work on bilingual lexicon induction (BLI) has frequently depended...
Beam search is widely used for approximate decoding in structured predic...
Morphological analysis involves predicting the syntactic traits of a wor...
We show how to train the fast dependency parser of Smith and Eisner (200...
Compositional embedding models build a representation (or embedding) for...