6 citations · 17 across the 16 of their papers we have counts for
4 papers · 2 filters
Neural Embeddings for Text
Oleg Vasilyev, John Bohannon
We propose a new kind of embedding for natural language text that deeply represents semantic meaning. Standard text embeddings use the outputs from hidden layers of a pretrained la…
BabyBear: Cheap inference triage for expensive language models
Leila Khalili, Yao You, John Bohannon
Transformer language models provide superior accuracy over previous models but they are computationally and environmentally expensive. Borrowing the concept of model cascading from…
Named Entity Linking with Entity Representation by Multiple Embeddings
Oleg Vasilyev, Alex Dauenhauer, Vedant Dharnidharka +1
We propose a simple and practical method for named entity linking (NEL), based on entity representation by multiple embeddings. To explore this method, and to review its dependency…
Consistency and Coherence from Points of Contextual Similarity
Oleg Vasilyev, John Bohannon
Factual consistency is one of important summary evaluation dimensions, especially as summary generation becomes more fluent and coherent. The ESTIME measure, recently proposed spec…