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researcher

C. D. Boom

13 papers hereh-index 13616 citations35 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author6
  • middle author6
  • last author1

Across the 13 of 13 papers where every author was matched, so the position is known.

fields
  • cs.LG4
  • cs.IR3
  • cs.CV2
  • cs.SD2
  • cs.AI1
  • cs.NE1

identity via Semantic Scholar / OpenAlex

activity
20152022
most citedRepresentation learning for very short texts using weighted word embedding aggregation

200 citations · 357 across the 12 of their papers we have counts for

collaborators
Showing 2016 · cs.IRShow all

1 paper · 2 filters

cs.IR2016★ 200 cited

Representation learning for very short texts using weighted word embedding aggregation

Cedric De Boom, Steven Van Canneyt, Thomas Demeester +1

Short text messages such as tweets are very noisy and sparse in their use of vocabulary. Traditional textual representations, such as tf-idf, have difficulty grasping the semantic…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.