Search Results for author: Yinpei Dai

Found 15 papers, 7 papers with code

Tracking of enriched dialog states for flexible conversational information access

no code implementations9 Nov 2017 Yinpei Dai, Zhijian Ou, Dawei Ren, Pengfei Yu

The above observations motivate us to enrich current representation of dialog states and collect a brand new dialog dataset about movies, based upon which we build a new DST, called enriched DST (EDST), for flexible accessing movie information.

dialog state tracking slot-filling +1

Deep learning for language understanding of mental health concepts derived from Cognitive Behavioural Therapy

1 code implementation WS 2018 Lina Rojas-Barahona, Bo-Hsiang Tseng, Yinpei Dai, Clare Mansfield, Osman Ramadan, Stefan Ultes, Michael Crawford, Milica Gasic

In recent years, we have seen deep learning and distributed representations of words and sentences make impact on a number of natural language processing tasks, such as similarity, entailment and sentiment analysis.

Sentence Sentence Embeddings +2

Elastic CRFs for Open-ontology Slot Filling

no code implementations4 Nov 2018 Yinpei Dai, Yichi Zhang, Zhijian Ou, Yanmeng Wang, Junlan Feng

Second, the one-hot encoding of slot labels ignores the semantic meanings and relations for slots, which are implicit in their natural language descriptions.

slot-filling Slot Filling

Preview, Attend and Review: Schema-Aware Curriculum Learning for Multi-Domain Dialog State Tracking

no code implementations1 Jun 2021 Yinpei Dai, Hangyu Li, Yongbin Li, Jian Sun, Fei Huang, Luo Si, Xiaodan Zhu

Existing dialog state tracking (DST) models are trained with dialog data in a random order, neglecting rich structural information in a dataset.

 Ranked #1 on Multi-domain Dialogue State Tracking on MULTIWOZ 2.1 (using extra training data)

dialog state tracking Multi-domain Dialogue State Tracking

Transferable Dialogue Systems and User Simulators

1 code implementation ACL 2021 Bo-Hsiang Tseng, Yinpei Dai, Florian Kreyssig, Bill Byrne

Our goal is to develop a modelling framework that can incorporate new dialogue scenarios through self-play between the two agents.

Domain Adaptation Transfer Learning

Task-Oriented Dialogue System as Natural Language Generation

1 code implementation31 Aug 2021 Weizhi Wang, Zhirui Zhang, Junliang Guo, Yinpei Dai, Boxing Chen, Weihua Luo

In this paper, we propose to formulate the task-oriented dialogue system as the purely natural language generation task, so as to fully leverage the large-scale pre-trained models like GPT-2 and simplify complicated delexicalization prepossessing.

Text Generation Transfer Learning

SPACE-3: Unified Dialog Model Pre-training for Task-Oriented Dialog Understanding and Generation

1 code implementation14 Sep 2022 Wanwei He, Yinpei Dai, Min Yang, Jian Sun, Fei Huang, Luo Si, Yongbin Li

To capture the structured dialog semantics, we pre-train the dialog understanding module via a novel tree-induced semi-supervised contrastive learning objective with the help of extra dialog annotations.

Contrastive Learning dialog state tracking +1

CGoDial: A Large-Scale Benchmark for Chinese Goal-oriented Dialog Evaluation

no code implementations21 Nov 2022 Yinpei Dai, Wanwei He, Bowen Li, Yuchuan Wu, Zheng Cao, Zhongqi An, Jian Sun, Yongbin Li

Practical dialog systems need to deal with various knowledge sources, noisy user expressions, and the shortage of annotated data.

Goal-Oriented Dialog Retrieval

Think, Act, and Ask: Open-World Interactive Personalized Robot Navigation

1 code implementation12 Oct 2023 Yinpei Dai, Run Peng, Sikai Li, Joyce Chai

To address these limitations, we introduce Zero-shot Interactive Personalized Object Navigation (ZIPON), where robots need to navigate to personalized goal objects while engaging in conversations with users.

Navigate Object +1

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