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researcher

Sameena Shah

3 papers here

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

author position
  • middle author2
  • last author1

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.SI2
  • cs.CL1

identity via Semantic Scholar / OpenAlex

most citedData Sets: Word Embeddings Learned from Tweets and General Data

17 citations · 29 across the 3 of their papers we have counts for

collaborators

3 papers

cs.SI2017★ 8 cited

Reuters Tracer: Toward Automated News Production Using Large Scale Social Media Data

Xiaomo Liu, Armineh Nourbakhsh, Quanzhi Li +3

To deal with the sheer volume of information and gain competitive advantage, the news industry has started to explore and invest in news automation. In this paper, we present Reute…

cs.SI2017★ 4 cited

"Breaking" Disasters: Predicting and Characterizing the Global News Value of Natural and Man-made Disasters

Armineh Nourbakhsh, Quanzhi Li, Xiaomo Liu +1

Due to their often unexpected nature, natural and man-made disasters are difficult to monitor and detect for journalists and disaster management response teams. Journalists are inc…

cs.CL2017★ 17 cited

Data Sets: Word Embeddings Learned from Tweets and General Data

Quanzhi Li, Sameena Shah, Xiaomo Liu +1

A word embedding is a low-dimensional, dense and real- valued vector representation of a word. Word embeddings have been used in many NLP tasks. They are usually gener- ated from a…

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