Search Results for author:
Found 9 papers, 1 papers with code
Annotation of Valence Unfolding in Spoken Personal Narratives
In this work, we annotate a corpus of spoken personal narratives, with the emotion valence using discrete values.
Can Emotion Carriers Explain Automatic Sentiment Prediction? A Study on Personal Narratives
Deep Neural Networks (DNN) models have achieved acceptable performance in sentiment prediction of written text.
Detecting Emotion Carriers by Combining Acoustic and Lexical Representations
However, in this work, we focus on Emotion Carriers (EC) defined as the segments (speech or text) that best explain the emotional state of the narrator ("loss of father", "made me choose").
Emotion Carrier Recognition from Personal Narratives
In this work, we propose a novel task for Narrative Understanding: Emotion Carrier Recognition (ECR).
Annotation of Emotion Carriers in Personal Narratives
We are interested in the problem of understanding personal narratives (PN) - spoken or written - recollections of facts, events, and thoughts.
Modeling user context for valence prediction from narratives
Automated prediction of valence, one key feature of a person's emotional state, from individuals' personal narratives may provide crucial information for mental healthcare (e. g. early diagnosis of mental diseases, supervision of disease course, etc.).
Production Ready Chatbots: Generate if not Retrieve
In this paper, we present a hybrid model that combines a neural conversational model and a rule-based graph dialogue system that assists users in scheduling reminders through a chat conversation.
