13 citations · 15 across the 4 of their papers we have counts for
7 papers
Building a Dialogue Corpus Annotated with Expressed and Experienced Emotions
Tatsuya Ide, Daisuke Kawahara
In communication, a human would recognize the emotion of an interlocutor and respond with an appropriate emotion, such as empathy and comfort. Toward developing a dialogue system w…
Multi-Task Learning of Generation and Classification for Emotion-Aware Dialogue Response Generation
Tatsuya Ide, Daisuke Kawahara
For a computer to naturally interact with a human, it needs to be human-like. In this paper, we propose a neural response generation model with multi-task learning of generation an…
Minimize Exposure Bias of Seq2Seq Models in Joint Entity and Relation Extraction
Ranran Haoran Zhang, Qianying Liu, Aysa Xuemo Fan +5
Joint entity and relation extraction aims to extract relation triplets from plain text directly. Prior work leverages Sequence-to-Sequence (Seq2Seq) models for triplet sequence gen…
A System for Worldwide COVID-19 Information Aggregation
Akiko Aizawa, Frederic Bergeron, Junjie Chen +26
The global pandemic of COVID-19 has made the public pay close attention to related news, covering various domains, such as sanitation, treatment, and effects on education. Meanwhil…
Emotion helps Sentiment: A Multi-task Model for Sentiment and Emotion Analysis
Abhishek Kumar, Asif Ekbal, Daisuke Kawahra +1
In this paper, we propose a two-layered multi-task attention based neural network that performs sentiment analysis through emotion analysis. The proposed approach is based on Bidir…
Knowledge-enriched Two-layered Attention Network for Sentiment Analysis
Abhishek Kumar, Daisuke Kawahara, Sadao Kurohashi
We propose a novel two-layered attention network based on Bidirectional Long Short-Term Memory for sentiment analysis. The novel two-layered attention network takes advantage of th…