@INPROCEEDINGS{aaai17-emphatic,
  title     = "Automatic Emphatic Information Extraction from Aligned Acoustic
               Data and Its Application on Sentence Compression",
  booktitle = "Proceedings of the {Thirty-First} {AAAI} Conference on
               Artificial Intelligence",
  author    = "Chen, Yanju and Pan, Rong",
  abstract  = "We introduce a novel method to extract and utilize the semantic
               information from acoustic data. By automatic Speech-To-Text
               alignment techniques, we are able to detect word-based acoustic
               durations that can prosodically emphasize specific words in an
               utterance. We model and analyze the sentence-based emphatic
               patterns by predicting the emphatic levels using only the
               lexical features, and demonstrate the potential ability of
               emphatic information produced by such an unsupervised method to
               improve the performance of NLP tasks, such as sentence
               compression, by providing weak supervision on multi-task
               learning based on LSTMs.",
  publisher = "AAAI Press",
  pages     = "3422--3428",
  series    = "AAAI'17",
  year      =  2017,
  address   = "San Francisco, California, USA"
}