12 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Beijing Advanced Sciences and Innovation CenterCN2 papers
- Chinese Academy of SciencesCN2 papers
- Baidu (China)CN1 paper
- Beijing Academy of Artificial IntelligenceCN1 paper
- Beijing Forestry UniversityCN1 paper
- Beijing Institute of TechnologyCN1 paper
- Beijing University of Posts and TelecommunicationsCN1 paper
- China Agricultural UniversityCN1 paper
- Institute of Computing TechnologyCN1 paper
- IT University of CopenhagenDK1 paper
- Peking UniversityCN1 paper
- Shanghai University of Finance and EconomicsCN1 paper
15 papers
A Data-Driven Multimodal Method for Early Detection of Coordinated Abnormal Behaviors in Live-Streaming Platforms
Jingwen Luo, Pinrui Zhu, Yiyan Wang +4
With the rapid growth of live-streaming e-commerce and digital marketing, abnormal marketing behaviors have become increasingly concealed and coordinated across heterogeneous modal…
Nationality encoding in language model hidden states: Probing culturally differentiated representations in persona-conditioned academic text
Paul Jackson, Ruizhe Li, Elspeth Edelstein
Large language models are increasingly used as writing tools and pedagogical resources in English for Academic Purposes, but it remains unclear whether they encode culturally diffe…
Mention Attention for Pronoun Translation
Gongbo Tang, Christian Hardmeier
Most pronouns are referring expressions, computers need to resolve what do the pronouns refer to, and there are divergences on pronoun usage across languages. Thus, dealing with th…
Rhythm-controllable Attention with High Robustness for Long Sentence Speech Synthesis
Dengfeng Ke, Yayue Deng, Yukang Jia +6
Regressive Text-to-Speech (TTS) system utilizes attention mechanism to generate alignment between text and acoustic feature sequence. Alignment determines synthesis robustness (e.g…
An Empirical Study on End-to-End Singing Voice Synthesis with Encoder-Decoder Architectures
Dengfeng Ke, Yuxing Lu, Xudong Liu +3
With the rapid development of neural network architectures and speech processing models, singing voice synthesis with neural networks is becoming the cutting-edge technique of digi…
Token-level Adaptive Training for Neural Machine Translation
Shuhao Gu, Jinchao Zhang, Fandong Meng +4
There exists a token imbalance phenomenon in natural language as different tokens appear with different frequencies, which leads to different learning difficulties for tokens in Ne…
Formant Tracking Using Dilated Convolutional Networks Through Dense Connection with Gating Mechanism
Wang Dai, Jinsong Zhang, Yingming Gao +4
Formant tracking is one of the most fundamental problems in speech processing. Traditionally, formants are estimated using signal processing methods. Recent studies showed that gen…
ECSP: A New Task for Emotion-Cause Span-Pair Extraction and Classification
Hongliang Bi, Pengyuan Liu
Emotion cause analysis such as emotion cause extraction (ECE) and emotion-cause pair extraction (ECPE) have gradually attracted the attention of many researchers. However, there ar…
XCMRC: Evaluating Cross-lingual Machine Reading Comprehension
Pengyuan Liu, Yuning Deng, Chenghao Zhu +1
We present XCMRC, the first public cross-lingual language understanding (XLU) benchmark which aims to test machines on their cross-lingual reading comprehension ability. To be spec…
Multi-task Learning for Low-resource Second Language Acquisition Modeling
Yong Hu, Heyan Huang, Tian Lan +5
Second language acquisition (SLA) modeling is to predict whether second language learners could correctly answer the questions according to what they have learned. It is a fundamen…
Incorporating Sememes into Chinese Definition Modeling
Liner Yang, Cunliang Kong, Yun Chen +3
Chinese definition modeling is a challenging task that generates a dictionary definition in Chinese for a given Chinese word. To accomplish this task, we construct the Chinese Defi…
Convolution Forgetting Curve Model for Repeated Learning
Yanlu Xie, Yue Chen, Man Li
Most of mathematic forgetting curve models fit well with the forgetting data under the learning condition of one time rather than repeated. In the paper, a convolution model of for…
From Plots to Endings: A Reinforced Pointer Generator for Story Ending Generation
Yan Zhao, Lu Liu, Chunhua Liu +2
We introduce a new task named Story Ending Generation (SEG), whic-h aims at generating a coherent story ending from a sequence of story plot. Wepropose a framework consisting of a…
Multi-Perspective Fusion Network for Commonsense Reading Comprehension
Chunhua Liu, Yan Zhao, Qingyi Si +3
Commonsense Reading Comprehension (CRC) is a significantly challenging task, aiming at choosing the right answer for the question referring to a narrative passage, which may requir…
Multi-turn Inference Matching Network for Natural Language Inference
Chunhua Liu, Shan Jiang, Hainan Yu +1
Natural Language Inference (NLI) is a fundamental and challenging task in Natural Language Processing (NLP). Most existing methods only apply one-pass inference process on a mixed…