Name
Abstract | ||
|---|---|---|
In the context of natural language processing, representation learning has emerged as a newly active research subject because of its excellent performance in many applications. Learning representations of words is a pioneering study in this school of research. However, paragraph (or sentence and document) embedding learning is more suitable/reasonable for some realistic tasks such as document summ... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/TASLP.2017.2764545 | IEEE/ACM Transactions on Audio, Speech, and Language Processing |
Keywords | Field | DocType |
Context modeling,Predictive models,Speech,Training,Speech processing,Neural networks | Automatic summarization,Speech processing,Embedding,Computer science,Speech recognition,Context model,Paragraph,Natural language processing,Artificial intelligence,Artificial neural network,Sentence,Feature learning | Journal |
Volume | Issue | ISSN |
26 | 1 | 2329-9290 |
Citations | PageRank | References |
2 | 0.38 | 31 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Kuan-Yu Chen | 1 | 450 | 55.78 |
| Shih-Hung Liu | 2 | 66 | 14.53 |
| Berlin Chen | 3 | 151 | 34.59 |
| Hsin-min Wang | 4 | 1201 | 129.62 |