287 citations
- University of Science and Technology of ChinaCN10 papers
- Chinese Academy of SciencesCN8 papers
- Institute of Computing TechnologyCN8 papers
- Stanford UniversityUS8 papers
- Zhejiang UniversityCN8 papers
- Alibaba Group (China)CN7 papers
- Microsoft Research (United Kingdom)GB7 papers
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9 papers · 2 filters
Perception Point: Identifying Critical Learning Periods in Speech for Bilingual Networks
Anuj Saraswat, Mehar Bhatia, Yaman Kumar Singla +2
Recent studies in speech perception have been closely linked to fields of cognitive psychology, phonology, and phonetics in linguistics. During perceptual attunement, a critical an…
Identifying Untrustworthy Samples: Data Filtering for Open-domain Dialogues with Bayesian Optimization
Lei Shen, Haolan Zhan, Xin Shen +3
Being able to reply with a related, fluent, and informative response is an indispensable requirement for building high-quality conversational agents. In order to generate better re…
MuSe-Toolbox: The Multimodal Sentiment Analysis Continuous Annotation Fusion and Discrete Class Transformation Toolbox
Lukas Stappen, Lea Schumann, Benjamin Sertolli +4
We introduce the MuSe-Toolbox - a Python-based open-source toolkit for creating a variety of continuous and discrete emotion gold standards. In a single framework, we unify a wide…
ClueReader: Heterogeneous Graph Attention Network for Multi-hop Machine Reading Comprehension
Peng Gao, Feng Gao, Peng Wang +3
Multi-hop machine reading comprehension is a challenging task in natural language processing as it requires more reasoning ability across multiple documents. Spectral models based…
DCH-2: A Parallel Customer-Helpdesk Dialogue Corpus with Distributions of Annotators' Labels
Zhaohao Zeng, Tetsuya Sakai
We introduce a data set called DCH-2, which contains 4,390 real customer-helpdesk dialogues in Chinese and their English translations. DCH-2 also contains dialogue-level annotation…
Knowledge-based Review Generation by Coherence Enhanced Text Planning
Junyi Li, Wayne Xin Zhao, Zhicheng Wei +2
As a natural language generation task, it is challenging to generate informative and coherent review text. In order to enhance the informativeness of the generated text, existing s…