2019-01-01 · conference-paper · Topic Modeling · en
highly citedClaims drawn from cited facts, not live model generation.
This paper is a conference paper whose primary topic is topic modeling. Because it is a published conference paper, it has passed peer review and therefore carries more evidentiary weight than an unreviewed preprint.
3 cited facts
A small team of 2 researchers authored this work.
1 cited fact
With 11,637 citations, this work has clearly crossed the threshold that marks outsized influence and is already an established reference point in its field. Its 45 references anchor it within a modest scholarly base, while the citation record shows the broader community has built extensively on it.
4 cited facts
Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks is a conference-paper, focusing on Topic Modeling, published in 2019.
Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks has 11,637 citations in our record, placing it among the highly cited works we track.
Our record lists 2 authors for Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks and references 45 other works. Author names aren't in our data yet — the source link on the page lists the full byline.
Source facts, citations, and refresh stamp for this record.
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