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20192022
most citedExpectation-Maximization Contrastive Learning for Compact Video-and-Language Representations

35 citations · 95 across the 9 of their papers we have counts for

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Showing cs.CLShow all

6 papers · 1 filter

cs.CL2023

ZeroNLG: Aligning and Autoencoding Domains for Zero-Shot Multimodal and Multilingual Natural Language Generation

Bang Yang, Fenglin Liu, Yuexian Zou +3

Natural Language Generation (NLG) accepts input data in the form of images, videos, or text and generates corresponding natural language text as output. Existing NLG methods mainly…

cs.CL20221 cited

End-to-end Spoken Conversational Question Answering: Task, Dataset and Model

Chenyu You, Nuo Chen, Fenglin Liu +3

In spoken question answering, the systems are designed to answer questions from contiguous text spans within the related speech transcripts. However, the most natural way that huma…

cs.CL20216 cited

Towards Joint Intent Detection and Slot Filling via Higher-order Attention

Dongsheng Chen, Zhiqi Huang, Xian Wu +2

Intent detection (ID) and Slot filling (SF) are two major tasks in spoken language understanding (SLU). Recently, attention mechanism has been shown to be effective in jointly opti…

cs.CL2021

Audio-Oriented Multimodal Machine Comprehension: Task, Dataset and Model

Zhiqi Huang, Fenglin Liu, Xian Wu +4

While Machine Comprehension (MC) has attracted extensive research interests in recent years, existing approaches mainly belong to the category of Machine Reading Comprehension task…

cs.CL2020

Automatic Distractor Generation for Multiple Choice Questions in Standard Tests

Zhaopeng Qiu, Xian Wu, Wei Fan

To assess the knowledge proficiency of a learner, multiple choice question is an efficient and widespread form in standard tests. However, the composition of the multiple choice qu…

cs.CL2019

Multi-Grained Named Entity Recognition

Congying Xia, Chenwei Zhang, Tao Yang +6

This paper presents a novel framework, MGNER, for Multi-Grained Named Entity Recognition where multiple entities or entity mentions in a sentence could be non-overlapping or totall…