Author image not provided
 Haoran Wang

Authors:
Add personal information
  Affiliation history
Bibliometrics: publication history
Average citations per article3.50
Citation Count7
Publication count2
Publication years2016-2017
Available for download2
Average downloads per article886.00
Downloads (cumulative)1,772
Downloads (12 Months)1,020
Downloads (6 Weeks)85
SEARCH
ROLE
Arrow RightAuthor only


AUTHOR'S COLLEAGUES
See all colleagues of this author




BOOKMARK & SHARE


2 results found Export Results: bibtexendnoteacmrefcsv

Result 1 – 2 of 2
Sort by:

1 published by ACM
August 2017 ACM Transactions on Information Systems (TOIS): Volume 36 Issue 2, September 2017
Publisher: ACM
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 43,   Downloads (12 Months): 281,   Downloads (Overall): 281

Full text available: PDFPDF
Many applications require semantic understanding of short texts, and inferring discriminative and coherent latent topics is a critical and fundamental task in these applications. Conventional topic models largely rely on word co-occurrences to derive topics from a collection of documents. However, due to the length of each document, short texts ...
Keywords: Topic model, short texts, word embeddings

2 published by ACM
July 2016 SIGIR '16: Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval
Publisher: ACM
Bibliometrics:
Citation Count: 7
Downloads (6 Weeks): 42,   Downloads (12 Months): 739,   Downloads (Overall): 1,491

Full text available: PDFPDF
For many applications that require semantic understanding of short texts, inferring discriminative and coherent latent topics from short texts is a critical and fundamental task. Conventional topic models largely rely on word co-occurrences to derive topics from a collection of documents. However, due to the length of each document, short ...
Keywords: short texts, topic model, word embeddings



The ACM Digital Library is published by the Association for Computing Machinery. Copyright © 2018 ACM, Inc.
Terms of Usage   Privacy Policy   Code of Ethics   Contact Us