Dialog Act Modeling for Conversational Speech

By Elizabeth Shriberg, Dan Jurafsky, Klaus Ries. 1998

How researchers see this paper

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

1. Raefer Gabriel
2. Behnam Hedayatnia
3. Chandra Khatri
4. Rahul Goel
5. Anu Venkatesh
6. Angeliki Metanillou
7. Arindam Mandal
8. Shikib Mehri

Citations in the corpus

• Privacy-Preserving Adversarial Representation Learning in ASR: Reality or Illusion? (2019, neutral): “…speech processing algorithms can infer not only the spoken contents from the speech signal, but also the speaker’s identity [5], intention [6–9], gender [10,11], emotional state [12–14], pathological condition [15–17], personality [18,19] and cultural [20,21] attributes to a great extent.”
• Contextual Topic Modeling For Dialog Systems (2018, methodology): “With the goal of improving the topic model in mind, we train a separate independent model to predict dialog acts [9] in a conversation and observe that incorporating dialog act as an additional feature improves topic model accuracy.”