NLP Seminar: Emotion Ranking and Emotion Cause Detection from Text

Yulan He, full professor at University of Warwick, UK, will give a talk at University of Copenhagen as part of the NLP Seminar Series, funded by CCC. The talk will start at 17:00, there will be refreshments from 16:30.


Emotion Ranking and Emotion Cause Detection from Text


Text might contain or evoke multiple emotions with varying intensities. Traditional approaches typically cast the problem of detecting multiple emotions from text as multi-label classification. This talk will first present a novel ranking-based approach to generate a ranked list of relevant emotions where top-ranked emotions are more intensely associated with text compared to lower ranked emotions. Furthermore, since emotions might be evoked by different hidden topics, it is important to unveil and incorporate such topical information to understand how the emotions are evoked. A novel neural network approach with topical information incorporated will be discussed for relevant emotion ranking. Finally, the problem of identifying the reasons behind a certain emotion expressed in text can be framed as a reading comprehension task and a new approach based on memory networks will be presented for emotion cause detection from text.


Yulan He (何瑜岚) is a Professor at the Department of Computer Science of the University of Warwick, UK. Her research centres on the exploration of statistical models in representing uncertainty and the benefit they bring over earlier work in a wide range of application areas, particularly the integration of machine learning and natural language processing for text understanding. She has published over 150 papers in the areas of text and data mining, sentiment analysis and opinion mining, social media analysis, recommender systems, learning analytics and spoken dialogue systems. In the past, she has served as an Area Chair in top natural language processing conferences including ACL, EMNLP and NAACL and a Senior Programme Committee member in AAAI and IJCAI.

Yulan obtained her PhD degree in spoken language understanding from the University of Cambridge, and her MEng and BASc (First Class Honours) degrees in Computer Engineering from Nanyang Technological University, Singapore.