565 citations · 1.3k across the 96 of their papers we have counts for
7 papers · 1 filter
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…
Handling Imbalanced Dataset in Multi-label Text Categorization using Bagging and Adaptive Boosting
Genta Indra Winata, Masayu Leylia Khodra
Imbalanced dataset is occurred due to uneven distribution of data available in the real world such as disposition of complaints on government offices in Bandung. Consequently, mult…
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…
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…