93 citations · 526 across the 105 of their papers we have counts for
7 papers · 2 filters
Robust Unsupervised Cross-Lingual Word Embedding using Domain Flow Interpolation
Liping Tang, Zhen Li, Zhiquan Luo +1
This paper investigates an unsupervised approach towards deriving a universal, cross-lingual word embedding space, where words with similar semantics from different languages are c…
Cross-lingual Word Embeddings in Hyperbolic Space
Chandni Saxena, Mudit Chaudhary, Helen Meng
Cross-lingual word embeddings can be applied to several natural language processing applications across multiple languages. Unlike prior works that use word embeddings based on the…
An End-to-end Chinese Text Normalization Model based on Rule-guided Flat-Lattice Transformer
Wenlin Dai, Changhe Song, Xiang Li +4
Text normalization, defined as a procedure transforming non standard words to spoken-form words, is crucial to the intelligibility of synthesized speech in text-to-speech system. R…
A Character-level Span-based Model for Mandarin Prosodic Structure Prediction
Xueyuan Chen, Changhe Song, Yixuan Zhou +4
The accuracy of prosodic structure prediction is crucial to the naturalness of synthesized speech in Mandarin text-to-speech system, but now is limited by widely-used sequence-to-s…
Towards Identifying Social Bias in Dialog Systems: Frame, Datasets, and Benchmarks
Jingyan Zhou, Jiawen Deng, Fei Mi +6
The research of open-domain dialog systems has been greatly prospered by neural models trained on large-scale corpora, however, such corpora often introduce various safety problems…
Convex Polytope Modelling for Unsupervised Derivation of Semantic Structure for Data-efficient Natural Language Understanding
Jingyan Zhou, Xiaohan Feng, King Keung Wu +1
Popular approaches for Natural Language Understanding (NLU) usually rely on a huge amount of annotated data or handcrafted rules, which is laborious and not adaptive to domain exte…
Group Gated Fusion on Attention-based Bidirectional Alignment for Multimodal Emotion Recognition
Pengfei Liu, Kun Li, Helen Meng
Emotion recognition is a challenging and actively-studied research area that plays a critical role in emotion-aware human-computer interaction systems. In a multimodal setting, tem…