17 citations · 30 across the 5 of their papers we have counts for
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cs.CL2016★ 7 cited
Understanding Image and Text Simultaneously: a Dual Vision-Language Machine Comprehension Task
Nan Ding, Sebastian Goodman, Fei Sha +1
We introduce a new multi-modal task for computer systems, posed as a combined vision-language comprehension challenge: identifying the most suitable text describing a scene, given…
cs.CL2016★ 2 cited
Multilingual Word Embeddings using Multigraphs
Radu Soricut, Nan Ding
We present a family of neural-network--inspired models for computing continuous word representations, specifically designed to exploit both monolingual and multilingual text. This…
cs.CL2016★ 4 cited
Building Large Machine Reading-Comprehension Datasets using Paragraph Vectors
Radu Soricut, Nan Ding
We present a dual contribution to the task of machine reading-comprehension: a technique for creating large-sized machine-comprehension (MC) datasets using paragraph-vector models;…