60 citations · 62 across the 4 of their papers we have counts for
6 papers · 1 filter
What Makes Data-to-Text Generation Hard for Pretrained Language Models?
Moniba Keymanesh, Adrian Benton, Mark Dredze
Expressing natural language descriptions of structured facts or relations -- data-to-text generation (D2T) -- increases the accessibility of structured knowledge repositories. Prev…
Comparing Euclidean and Hyperbolic Embeddings on the WordNet Nouns Hypernymy Graph
Sameer Bansal, Adrian Benton
Nickel and Kiela (2017) present a new method for embedding tree nodes in the Poincare ball, and suggest that these hyperbolic embeddings are far more effective than Euclidean embed…
Cross-Register Projection for Headline Part of Speech Tagging
Adrian Benton, Hanyang Li, Igor Malioutov
Part of speech (POS) tagging is a familiar NLP task. State of the art taggers routinely achieve token-level accuracies of over 97% on news body text, evidence that the problem is w…
Diversity-Aware Batch Active Learning for Dependency Parsing
Tianze Shi, Adrian Benton, Igor Malioutov +1
While the predictive performance of modern statistical dependency parsers relies heavily on the availability of expensive expert-annotated treebank data, not all annotations contri…
Corrected CBOW Performs as well as Skip-gram
Ozan İrsoy, Adrian Benton, Karl Stratos
Mikolov et al. (2013a) observed that continuous bag-of-words (CBOW) word embeddings tend to underperform Skip-gram (SG) embeddings, and this finding has been reported in subsequent…
Multi-Task Learning for Mental Health using Social Media Text
Adrian Benton, Margaret Mitchell, Dirk Hovy
We introduce initial groundwork for estimating suicide risk and mental health in a deep learning framework. By modeling multiple conditions, the system learns to make predictions a…