b'Wanxiang Che'

Discovering Dialog Structure Graph for Open-Domain Dialog Generation

Learning interpretable dialog structure from human-human dialogs yields ...
12/31/2020 ∙ by Jun Xu, et al. ∙ 0 ∙ share

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LayoutLMv2: Multi-modal Pre-training for Visually-Rich Document Understanding

Pre-training of text and layout has proved effective in a variety of vis...
12/29/2020 ∙ by Yang Xu, et al. ∙ 0 ∙ share

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Co-GAT: A Co-Interactive Graph Attention Network for Joint Dialog Act Recognition and Sentiment Classification

In a dialog system, dialog act recognition and sentiment classification ...
12/24/2020 ∙ by Libo Qin, et al. ∙ 0 ∙ share

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C2C-GenDA: Cluster-to-Cluster Generation for Data Augmentation of Slot Filling

Slot filling, a fundamental module of spoken language understanding, oft...
12/13/2020 ∙ by Yutai Hou, et al. ∙ 0 ∙ share

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Combining Self-Training and Self-Supervised Learning for Unsupervised Disfluency Detection

Most existing approaches to disfluency detection heavily rely on human-a...
10/29/2020 ∙ by Shaolei Wang, et al. ∙ 0 ∙ share

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Few-shot Learning for Multi-label Intent Detection

In this paper, we study the few-shot multi-label classification for user...
10/11/2020 ∙ by Yutai Hou, et al. ∙ 0 ∙ share

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Injecting Word Information with Multi-Level Word Adapter for Chinese Spoken Language Understanding

Intent detection and slot filling are two closely related tasks for buil...
10/08/2020 ∙ by Dechuang Teng, et al. ∙ 0 ∙ share

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A Co-Interactive Transformer for Joint Slot Filling and Intent Detection

Intent detection and slot filling are two main tasks for building a spok...
10/08/2020 ∙ by Libo Qin, et al. ∙ 0 ∙ share

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N-LTP: A Open-source Neural Chinese Language Technology Platform with Pretrained Models

We introduce N-LTP, an open-source Python Chinese natural language proce...
09/24/2020 ∙ by Wanxiang Che, et al. ∙ 0 ∙ share

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FewJoint: A Few-shot Learning Benchmark for Joint Language Understanding

Few-learn learning (FSL) is one of the key future steps in machine learn...
09/17/2020 ∙ by Yutai Hou, et al. ∙ 10 ∙ share

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DCR-Net: A Deep Co-Interactive Relation Network for Joint Dialog Act Recognition and Sentiment Classification

In dialog system, dialog act recognition and sentiment classification ar...
08/16/2020 ∙ by Libo Qin, et al. ∙ 0 ∙ share

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CoSDA-ML: Multi-Lingual Code-Switching Data Augmentation for Zero-Shot Cross-Lingual NLP

Multi-lingual contextualized embeddings, such as multilingual-BERT (mBER...
06/11/2020 ∙ by Libo Qin, et al. ∙ 0 ∙ share

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Few-shot Slot Tagging with Collapsed Dependency Transfer and Label-enhanced Task-adaptive Projection Network

In this paper, we explore the slot tagging with only a few labeled suppo...
06/10/2020 ∙ by Yutai Hou, et al. ∙ 0 ∙ share

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Document Modeling with Graph Attention Networks for Multi-grained Machine Reading Comprehension

Natural Questions is a new challenging machine reading comprehension ben...
05/12/2020 ∙ by Bo Zheng, et al. ∙ 0 ∙ share

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Towards Conversational Recommendation over Multi-Type Dialogs

We focus on the study of conversational recommendation in the context of...
05/08/2020 ∙ by Zeming Liu, et al. ∙ 0 ∙ share

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Multi-Domain Spoken Language Understanding Using Domain- and Task-Aware Parameterization

Spoken language understanding has been addressed as a supervised learnin...
04/30/2020 ∙ by Libo Qin, et al. ∙ 0 ∙ share

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Revisiting Pre-Trained Models for Chinese Natural Language Processing

Bidirectional Encoder Representations from Transformers (BERT) has shown...
04/29/2020 ∙ by Yiming Cui, et al. ∙ 0 ∙ share

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Recall and Learn: Fine-tuning Deep Pretrained Language Models with Less Forgetting

Deep pretrained language models have achieved great success in the way o...
04/27/2020 ∙ by Sanyuan Chen, et al. ∙ 0 ∙ share

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Dynamic Fusion Network for Multi-Domain End-to-end Task-Oriented Dialog

Recent studies have shown remarkable success in end-to-end task-oriented...
04/23/2020 ∙ by Libo Qin, et al. ∙ 0 ∙ share

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TD-GIN: Token-level Dynamic Graph-Interactive Network for Joint Multiple Intent Detection and Slot Filling

Intent detection and slot filling are two main tasks for building a spok...
04/21/2020 ∙ by Libo Qin, et al. ∙ 0 ∙ share

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A Sentence Cloze Dataset for Chinese Machine Reading Comprehension

Owing to the continuous contributions by the Chinese NLP community, more...
04/07/2020 ∙ by Yiming Cui, et al. ∙ 0 ∙ share

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TextBrewer: An Open-Source Knowledge Distillation Toolkit for Natural Language Processing

In this paper, we introduce TextBrewer, an open-source knowledge distill...
02/28/2020 ∙ by Ziqing Yang, et al. ∙ 0 ∙ share

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Discriminative Sentence Modeling for Story Ending Prediction

Story Ending Prediction is a task that needs to select an appropriate en...
12/19/2019 ∙ by Yiming Cui, et al. ∙ 0 ∙ share

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Contextual Recurrent Units for Cloze-style Reading Comprehension

Recurrent Neural Networks (RNN) are known as powerful models for handlin...
11/14/2019 ∙ by Yiming Cui, et al. ∙ 0 ∙ share

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Improving Machine Reading Comprehension via Adversarial Training

Adversarial training (AT) as a regularization method has proved its effe...
11/09/2019 ∙ by Ziqing Yang, et al. ∙ 0 ∙ share

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Cross-Lingual BERT Transformation for Zero-Shot Dependency Parsing

This paper investigates the problem of learning cross-lingual representa...
09/15/2019 ∙ by Yuxuan Wang, et al. ∙ 0 ∙ share

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Entity-Consistent End-to-end Task-Oriented Dialogue System with KB Retriever

Querying the knowledge base (KB) has long been a challenge in the end-to...
09/15/2019 ∙ by Libo Qin, et al. ∙ 0 ∙ share

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A Corpus-free State2Seq User Simulator for Task-oriented Dialogue

Recent reinforcement learning algorithms for task-oriented dialogue syst...
09/10/2019 ∙ by Yutai Hou, et al. ∙ 0 ∙ share

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A Stack-Propagation Framework with Token-Level Intent Detection for Spoken Language Understanding

Intent detection and slot filling are two main tasks for building a spok...
09/05/2019 ∙ by Libo Qin, et al. ∙ 0 ∙ share

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Cross-Lingual Machine Reading Comprehension

Though the community has made great progress on Machine Reading Comprehe...
09/01/2019 ∙ by Yiming Cui, et al. ∙ 0 ∙ share

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Multi-Task Self-Supervised Learning for Disfluency Detection

Most existing approaches to disfluency detection heavily rely on human-a...
08/15/2019 ∙ by Shaolei Wang, et al. ∙ 0 ∙ share

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Few-Shot Sequence Labeling with Label Dependency Transfer

Few-shot sequence labeling faces a unique challenge compared with the ot...
06/20/2019 ∙ by Yutai Hou, et al. ∙ 0 ∙ share

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Pre-Training with Whole Word Masking for Chinese BERT

Bidirectional Encoder Representations from Transformers (BERT) has shown...
06/19/2019 ∙ by Yiming Cui, et al. ∙ 0 ∙ share

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A Span-Extraction Dataset for Chinese Machine Reading Comprehension

Machine Reading Comprehension (MRC) has become enormously popular recent...
10/17/2018 ∙ by Yiming Cui, et al. ∙ 0 ∙ share

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An AMR Aligner Tuned by Transition-based Parser

In this paper, we propose a new rich resource enhanced AMR aligner which...
10/08/2018 ∙ by Yijia Liu, et al. ∙ 0 ∙ share

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Towards Better UD Parsing: Deep Contextualized Word Embeddings, Ensemble, and Treebank Concatenation

This paper describes our system (HIT-SCIR) submitted to the CoNLL 2018 s...
07/09/2018 ∙ by Wanxiang Che, et al. ∙ 0 ∙ share

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Sequence-to-Sequence Data Augmentation for Dialogue Language Understanding

In this paper, we study the problem of data augmentation for language un...
07/04/2018 ∙ by Yutai Hou, et al. ∙ 0 ∙ share

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Sequence-to-Sequence Learning for Task-oriented Dialogue with Dialogue State Representation

Classic pipeline models for task-oriented dialogue system require explic...
06/12/2018 ∙ by Haoyang Wen, et al. ∙ 0 ∙ share

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Distilling Knowledge for Search-based Structured Prediction

Many natural language processing tasks can be modeled into structured pr...
05/29/2018 ∙ by Yijia Liu, et al. ∙ 0 ∙ share

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Parsing Tweets into Universal Dependencies

We study the problem of analyzing tweets with Universal Dependencies. We...
04/23/2018 ∙ by Yijia Liu, et al. ∙ 0 ∙ share

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The First Evaluation of Chinese Human-Computer Dialogue Technology

In this paper, we introduce the first evaluation of Chinese human-comput...
09/29/2017 ∙ by Wei-Nan Zhang, et al. ∙ 0 ∙ share

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Exploiting Multi-typed Treebanks for Parsing with Deep Multi-task Learning

Various treebanks have been released for dependency parsing. Despite tha...
06/03/2016 ∙ by Jiang Guo, et al. ∙ 0 ∙ share

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Exploring Segment Representations for Neural Segmentation Models

Many natural language processing (NLP) tasks can be generalized into seg...
04/19/2016 ∙ by Yijia Liu, et al. ∙ 0 ∙ share

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Wanxiang Che

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