Synthesis Lectures on Human Language Technologies

By Graeme Hirst, Synthesis Lectures. 2009

35 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Minlie Huang
2. Xiaoyan Zhu
3. Yequan Wang
4. Li Zhao
5. Binxuan Huang
6. Shuai Wang
7. Lei Zhang
8. Xin Li

Citations in the corpus

• Attention-based LSTM for Aspect-level Sentiment Classification (2016, background): “Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, pages 606–615, Austin, Texas, November 1-5, 2016. c©2016 Association for Computational Linguistics”
• Grammatical structures for word-level sentiment detection (2012, unknown): “We now describe how we build the syntactic relatedness trie (SRT) that forms the scaffolding for the probabilistic models needed to identify sentiment-bearing words via syntactic constraints extracted from a dependency parse (K¨ubler et al., 2009).”