90 citations · 376 across the 23 of their papers we have counts for
13 papers · 1 filter
GlobalTrait: Personality Alignment of Multilingual Word Embeddings
Farhad Bin Siddique, Dario Bertero, Pascale Fung
We propose a multilingual model to recognize Big Five Personality traits from text data in four different languages: English, Spanish, Dutch and Italian. Our analysis shows that wo…
Towards End-to-end Automatic Code-Switching Speech Recognition
Genta Indra Winata, Andrea Madotto, Chien-Sheng Wu +1
Speech recognition in mixed language has difficulties to adapt end-to-end framework due to the lack of data and overlapping phone sets, for example in words such as "one" in Englis…
Learn to Code-Switch: Data Augmentation using Copy Mechanism on Language Modeling
Genta Indra Winata, Andrea Madotto, Chien-Sheng Wu +1
Building large-scale datasets for training code-switching language models is challenging and very expensive. To alleviate this problem using parallel corpus has been a major workar…
Learning Comment Generation by Leveraging User-Generated Data
Zhaojiang Lin, Genta Indra Winata, Pascale Fung
Existing models on open-domain comment generation are difficult to train, and they produce repetitive and uninteresting responses. The problem is due to multiple and contradictory…
Emo2Vec: Learning Generalized Emotion Representation by Multi-task Training
Peng Xu, Andrea Madotto, Chien-Sheng Wu +2
In this paper, we propose Emo2Vec which encodes emotional semantics into vectors. We train Emo2Vec by multi-task learning six different emotion-related tasks, including emotion/sen…
Reducing Gender Bias in Abusive Language Detection
Ji Ho Park, Jamin Shin, Pascale Fung
Abusive language detection models tend to have a problem of being biased toward identity words of a certain group of people because of imbalanced training datasets. For example, "Y…
Attention-Based LSTM for Psychological Stress Detection from Spoken Language Using Distant Supervision
Genta Indra Winata, Onno Pepijn Kampman, Pascale Fung
We propose a Long Short-Term Memory (LSTM) with attention mechanism to classify psychological stress from self-conducted interview transcriptions. We apply distant supervision by a…
Mem2Seq: Effectively Incorporating Knowledge Bases into End-to-End Task-Oriented Dialog Systems
Andrea Madotto, Chien-Sheng Wu, Pascale Fung
End-to-end task-oriented dialog systems usually suffer from the challenge of incorporating knowledge bases. In this paper, we propose a novel yet simple end-to-end differentiable m…
Investigating Audio, Visual, and Text Fusion Methods for End-to-End Automatic Personality Prediction
Onno Kampman, Elham J. Barezi, Dario Bertero +1
We propose a tri-modal architecture to predict Big Five personality trait scores from video clips with different channels for audio, text, and video data. For each channel, stacked…
Code-Switching Language Modeling using Syntax-Aware Multi-Task Learning
Genta Indra Winata, Andrea Madotto, Chien-Sheng Wu +1
Lack of text data has been the major issue on code-switching language modeling. In this paper, we introduce multi-task learning based language model which shares syntax representat…
Bilingual Character Representation for Efficiently Addressing Out-of-Vocabulary Words in Code-Switching Named Entity Recognition
Genta Indra Winata, Chien-Sheng Wu, Andrea Madotto +1
We propose an LSTM-based model with hierarchical architecture on named entity recognition from code-switching Twitter data. Our model uses bilingual character representation and tr…
PlusEmo2Vec at SemEval-2018 Task 1: Exploiting emotion knowledge from emoji and #hashtags
Ji Ho Park, Peng Xu, Pascale Fung
This paper describes our system that has been submitted to SemEval-2018 Task 1: Affect in Tweets (AIT) to solve five subtasks. We focus on modeling both sentence and word level rep…
Cross-domain Dialogue Policy Transfer via Simultaneous Speech-act and Slot Alignment
Kaixiang Mo, Yu Zhang, Qiang Yang +1
Dialogue policy transfer enables us to build dialogue policies in a target domain with little data by leveraging knowledge from a source domain with plenty of data. Dialogue senten…