Anhui USTC iFLYTEK Co

∙ Hefei Shi , China ∙ 0 followers

IFLYTEK CO., LTD is a China-based company, principally engaged in the software and information technology (IT) service businesses. The Company's products and services consist of support software and products; Internet products and value-added operation...

STMARL: A Spatio-Temporal Multi-Agent Reinforcement Learning Approach for Traffic Light Control

The development of intelligent traffic light control systems is essentia...
08/28/2019 ∙ by Yanan Wang, et al. ∙ 13 ∙ share

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Episodic Training for Domain Generalization

Domain generalization (DG) is the challenging and topical problem of lea...
01/31/2019 ∙ by Da Li, et al. ∙ 10 ∙ share

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Improving Distantly-supervised Entity Typing with Compact Latent Space Clustering

Recently, distant supervision has gained great success on Fine-grained E...
04/13/2019 ∙ by Bo Chen, et al. ∙ 10 ∙ share

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KCAT: A Knowledge-Constraint Typing Annotation Tool

Fine-grained Entity Typing is a tough task which suffers from noise samp...
06/13/2019 ∙ by Sheng Lin, et al. ∙ 2 ∙ share

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Neural Networks Models for Entity Discovery and Linking

This paper describes the USTC_NELSLIP systems submitted to the Trilingua...
11/11/2016 ∙ by Dan Liu, et al. ∙ 0 ∙ share

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Probabilistic Reasoning via Deep Learning: Neural Association Models

In this paper, we propose a new deep learning approach, called neural as...
03/24/2016 ∙ by Quan Liu, et al. ∙ 0 ∙ share

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Attention-over-Attention Neural Networks for Reading Comprehension

Cloze-style queries are representative problems in reading comprehension...
07/15/2016 ∙ by Yiming Cui, et al. ∙ 0 ∙ share

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Consensus Attention-based Neural Networks for Chinese Reading Comprehension

Reading comprehension has embraced a booming in recent NLP research. Sev...
07/08/2016 ∙ by Yiming Cui, et al. ∙ 0 ∙ share

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LSTM Neural Reordering Feature for Statistical Machine Translation

Artificial neural networks are powerful models, which have been widely a...
12/01/2015 ∙ by Yiming Cui, et al. ∙ 0 ∙ share

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Feedforward Sequential Memory Neural Networks without Recurrent Feedback

We introduce a new structure for memory neural networks, called feedforw...
10/09/2015 ∙ by Shiliang Zhang, et al. ∙ 0 ∙ share

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Commonsense Knowledge Enhanced Embeddings for Solving Pronoun Disambiguation Problems in Winograd Schema Challenge

In this paper, we propose commonsense knowledge enhanced embeddings (KEE...
11/13/2016 ∙ by Quan Liu, et al. ∙ 0 ∙ share

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Natural Language Inference with External Knowledge

Modeling informal inference in natural language is very challenging. Wit...
11/12/2017 ∙ by Qian Chen, et al. ∙ 0 ∙ share

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Dataset for the First Evaluation on Chinese Machine Reading Comprehension

Machine Reading Comprehension (MRC) has become enormously popular recent...
09/25/2017 ∙ by Yiming Cui, et al. ∙ 0 ∙ share

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Recurrent Neural Network-Based Sentence Encoder with Gated Attention for Natural Language Inference

The RepEval 2017 Shared Task aims to evaluate natural language understan...
08/04/2017 ∙ by Qian Chen, et al. ∙ 0 ∙ share

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Exploring Question Understanding and Adaptation in Neural-Network-Based Question Answering

The last several years have seen intensive interest in exploring neural-...
03/14/2017 ∙ by Junbei Zhang, et al. ∙ 0 ∙ share

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Distraction-Based Neural Networks for Document Summarization

Distributed representation learned with neural networks has recently sho...
10/26/2016 ∙ by Qian Chen, et al. ∙ 0 ∙ share

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Generating and Exploiting Large-scale Pseudo Training Data for Zero Pronoun Resolution

Most existing approaches for zero pronoun resolution are heavily relying...
06/06/2016 ∙ by Ting Liu, et al. ∙ 0 ∙ share

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Part-of-Speech Relevance Weights for Learning Word Embeddings

This paper proposes a model to learn word embeddings with weighted conte...
03/24/2016 ∙ by Quan Liu, et al. ∙ 0 ∙ share

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HFL-RC System at SemEval-2018 Task 11: Hybrid Multi-Aspects Model for Commonsense Reading Comprehension

This paper describes the system which got the state-of-the-art results a...
03/15/2018 ∙ by Zhipeng Chen, et al. ∙ 0 ∙ share

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Sequence-to-Sequence Acoustic Modeling for Voice Conversion

In this paper, a neural network named Sequence-to- sequence ConvErsion N...
10/16/2018 ∙ by Jing-Xuan Zhang, 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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Spelling Error Correction Using a Nested RNN Model and Pseudo Training Data

We propose a nested recurrent neural network (nested RNN) model for Engl...
11/01/2018 ∙ by Hao Li, et al. ∙ 0 ∙ share

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Improving Sequence-to-Sequence Acoustic Modeling by Adding Text-Supervision

This paper presents methods of making using of text supervision to impro...
11/20/2018 ∙ by Jing-Xuan Zhang, et al. ∙ 0 ∙ share

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Convolutional Spatial Attention Model for Reading Comprehension with Multiple-Choice Questions

Machine Reading Comprehension (MRC) with multiple-choice questions requi...
11/21/2018 ∙ by Zhipeng Chen, et al. ∙ 0 ∙ share

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The USTC-NEL Speech Translation system at IWSLT 2018

This paper describes the USTC-NEL system to the speech translation task ...
12/06/2018 ∙ by Dan Liu, et al. ∙ 0 ∙ share

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Learning Efficient Lexically-Constrained Neural Machine Translation with External Memory

Recent years has witnessed dramatic progress of neural machine translati...
01/31/2019 ∙ by Ya Li, et al. ∙ 0 ∙ share

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Exploring Unsupervised Pretraining and Sentence Structure Modelling for Winograd Schema Challenge

Winograd Schema Challenge (WSC) was proposed as an AI-hard problem in te...
04/22/2019 ∙ by Yu-Ping Ruan, et al. ∙ 0 ∙ share

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Condition-Transforming Variational AutoEncoder for Conversation Response Generation

This paper proposes a new model, called condition-transforming variation...
04/24/2019 ∙ by Yu-Ping Ruan, et al. ∙ 0 ∙ share

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Several Experiments on Investigating Pretraining and Knowledge-Enhanced Models for Natural Language Inference

Natural language inference (NLI) is among the most challenging tasks in ...
04/27/2019 ∙ by Tianda Li, et al. ∙ 0 ∙ share

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QuesNet: A Unified Representation for Heterogeneous Test Questions

Understanding learning materials (e.g. test questions) is a crucial issu...
05/27/2019 ∙ by Yu Yin, et al. ∙ 0 ∙ share

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Exploiting Cognitive Structure for Adaptive Learning

Adaptive learning, also known as adaptive teaching, relies on learning p...
05/23/2019 ∙ by Qi Liu, 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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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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Learning Dynamic Context Augmentation for Global Entity Linking

Despite of the recent success of collective entity linking (EL) methods,...
09/04/2019 ∙ by Xiyuan Yang, et al. ∙ 0 ∙ share

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TripleNet: Triple Attention Network for Multi-Turn Response Selection in Retrieval-based Chatbots

We consider the importance of different utterances in the context for se...
09/24/2019 ∙ by Wentao Ma, 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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Utterance-to-Utterance Interactive Matching Network for Multi-Turn Response Selection in Retrieval-Based Chatbots

This paper proposes an utterance-to-utterance interactive matching netwo...
11/16/2019 ∙ by Jia-Chen Gu, 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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CJRC: A Reliable Human-Annotated Benchmark DataSet for Chinese Judicial Reading Comprehension

We present a Chinese judicial reading comprehension (CJRC) dataset which...
12/19/2019 ∙ by Xingyi Duan, 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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Speaker-Aware BERT for Multi-Turn Response Selection in Retrieval-Based Chatbots

In this paper, we study the problem of employing pre-trained language mo...
04/07/2020 ∙ by Jia-Chen Gu, et al. ∙ 0 ∙ share

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DialBERT: A Hierarchical Pre-Trained Model for Conversation Disentanglement

Disentanglement is a problem in which multiple conversations occur in th...
04/08/2020 ∙ by Tianda Li, et al. ∙ 0 ∙ share

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Is Graph Structure Necessary for Multi-hop Reasoning?

Recently, many works attempt to model texts as graph structure and intro...
04/07/2020 ∙ by Nan Shao, 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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Conversational Word Embedding for Retrieval-Based Dialog System

Human conversations contain many types of information, e.g., knowledge, ...
04/28/2020 ∙ by Wentao Ma, et al. ∙ 0 ∙ share

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Benchmarking Robustness of Machine Reading Comprehension Models

Machine Reading Comprehension (MRC) is an important testbed for evaluati...
04/29/2020 ∙ by Chenglei Si, et al. ∙ 0 ∙ share

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Filtering before Iteratively Referring for Knowledge-Grounded Response Selection in Retrieval-Based Chatbots

The challenges of building knowledge-grounded retrieval-based chatbots l...
04/30/2020 ∙ by Jia-Chen Gu, et al. ∙ 0 ∙ share

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Cross-Supervised Joint-Event-Extraction with Heterogeneous Information Networks

Joint-event-extraction, which extracts structural information (i.e., ent...
10/13/2020 ∙ by Yue Wang, et al. ∙ 0 ∙ share

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CharBERT: Character-aware Pre-trained Language Model

Most pre-trained language models (PLMs) construct word representations a...
11/03/2020 ∙ by Wentao Ma, et al. ∙ 0 ∙ share

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