6 citations · 14 across the 15 of their papers we have counts for
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cs.CL2022★ 3 cited
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…
cs.CL2022★ 1 cited
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…
cs.CL2022
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…