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Papers Dialogue Interpretation

“Dialogue Interpretation” 태그가 달린 논문 5편 · 필터 해제

EditIQ: Automated Cinematic Editing of Static Wide-Angle Videos via Dialogue Interpretation and Saliency Cues

2025-02-04 · Rohit Girmaji, Bhav Beri, Ramanathan Subramanian, Vineet Gandhi

We present EditIQ, a completely automated framework for cinematically editing scenes captured via a stationary, large field-of-view and high-resolution camera. From the static camera feed, EditIQ initially generates mult…

Dialogue InterpretationDialogue UnderstandingLanguage ModelingLanguage Modelling+3

Improved Dynamic Memory Network for Dialogue Act Classification with Adversarial Training

2018-11-12 · Yao Wan, Wenqiang Yan, Jianwei Gao, Zhou Zhao 외

Dialogue Act (DA) classification is a challenging problem in dialogue interpretation, which aims to attach semantic labels to utterances and characterize the speaker's intention. Currently, many existing approaches formu…

ClassificationDialogue Act ClassificationDialogue InterpretationGeneral Classification+1

Unsupervised Discrete Sentence Representation Learning for Interpretable Neural Dialog Generation

2018-04-22 · ACL 2018 7 · Tiancheng Zhao, Kyusong Lee, Maxine Eskenazi

The encoder-decoder dialog model is one of the most prominent methods used to build dialog systems in complex domains. Yet it is limited because it cannot output interpretable actions as in traditional systems, which hin…

DecoderDialogue GenerationDialogue InterpretationRepresentation Learning+3

Dialogue Act Recognition via CRF-Attentive Structured Network

2017-11-15 · SIGIR 2018 7 · Zheqian Chen, Rongqin Yang, Zhou Zhao, Deng Cai 외

Dialogue Act Recognition (DAR) is a challenging problem in dialogue interpretation, which aims to attach semantic labels to utterances and characterize the speaker's intention. Currently, many existing approaches formula…

Dialogue Act ClassificationDialogue InterpretationStructured Prediction

Dialogue Act Classification in Domain-Independent Conversations Using a Deep Recurrent Neural Network

2016-12-01 · COLING 2016 12 · Hamed Khanpour, Guntak, Nishitha la, Rodney Nielsen

In this study, we applied a deep LSTM structure to classify dialogue acts (DAs) in open-domain conversations. We found that the word embeddings parameters, dropout regularization, decay rate and number of layers are the …

Automatic Speech Recognition (ASR)Dialogue Act ClassificationDialogue InterpretationGeneral Classification+4
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