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STMARL: A Spatio-Temporal Multi-Agent Reinforcement Learning Approach for Traffic Light Control
The development of intelligent traffic light control systems is essentia...
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Episodic Training for Domain Generalization
Domain generalization (DG) is the challenging and topical problem of lea...
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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...
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KCAT: A Knowledge-Constraint Typing Annotation Tool
Fine-grained Entity Typing is a tough task which suffers from noise samp...
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Neural Networks Models for Entity Discovery and Linking
This paper describes the USTC_NELSLIP systems submitted to the Trilingua...
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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...
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Attention-over-Attention Neural Networks for Reading Comprehension
Cloze-style queries are representative problems in reading comprehension...
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Consensus Attention-based Neural Networks for Chinese Reading Comprehension
Reading comprehension has embraced a booming in recent NLP research. Sev...
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LSTM Neural Reordering Feature for Statistical Machine Translation
Artificial neural networks are powerful models, which have been widely a...
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Feedforward Sequential Memory Neural Networks without Recurrent Feedback
We introduce a new structure for memory neural networks, called feedforw...
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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...
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Natural Language Inference with External Knowledge
Modeling informal inference in natural language is very challenging. Wit...
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Dataset for the First Evaluation on Chinese Machine Reading Comprehension
Machine Reading Comprehension (MRC) has become enormously popular recent...
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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...
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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-...
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Distraction-Based Neural Networks for Document Summarization
Distributed representation learned with neural networks has recently sho...
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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...
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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...
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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...
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Sequence-to-Sequence Acoustic Modeling for Voice Conversion
In this paper, a neural network named Sequence-to- sequence ConvErsion N...
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A Span-Extraction Dataset for Chinese Machine Reading Comprehension
Machine Reading Comprehension (MRC) has become enormously popular recent...
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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...
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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...
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Convolutional Spatial Attention Model for Reading Comprehension with Multiple-Choice Questions
Machine Reading Comprehension (MRC) with multiple-choice questions requi...
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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 ...
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Learning Efficient Lexically-Constrained Neural Machine Translation with External Memory
Recent years has witnessed dramatic progress of neural machine translati...
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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...
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Condition-Transforming Variational AutoEncoder for Conversation Response Generation
This paper proposes a new model, called condition-transforming variation...
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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 ...
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QuesNet: A Unified Representation for Heterogeneous Test Questions
Understanding learning materials (e.g. test questions) is a crucial issu...
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Exploiting Cognitive Structure for Adaptive Learning
Adaptive learning, also known as adaptive teaching, relies on learning p...
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Pre-Training with Whole Word Masking for Chinese BERT
Bidirectional Encoder Representations from Transformers (BERT) has shown...
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Cross-Lingual Machine Reading Comprehension
Though the community has made great progress on Machine Reading Comprehe...
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Learning Dynamic Context Augmentation for Global Entity Linking
Despite of the recent success of collective entity linking (EL) methods,...
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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...
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Contextual Recurrent Units for Cloze-style Reading Comprehension
Recurrent Neural Networks (RNN) are known as powerful models for handlin...
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Improving Machine Reading Comprehension via Adversarial Training
Adversarial training (AT) as a regularization method has proved its effe...
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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...
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Discriminative Sentence Modeling for Story Ending Prediction
Story Ending Prediction is a task that needs to select an appropriate en...
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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...
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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...
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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...
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DialBERT: A Hierarchical Pre-Trained Model for Conversation Disentanglement
Disentanglement is a problem in which multiple conversations occur in th...
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Is Graph Structure Necessary for Multi-hop Reasoning?
Recently, many works attempt to model texts as graph structure and intro...
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A Sentence Cloze Dataset for Chinese Machine Reading Comprehension
Owing to the continuous contributions by the Chinese NLP community, more...
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Conversational Word Embedding for Retrieval-Based Dialog System
Human conversations contain many types of information, e.g., knowledge, ...
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Benchmarking Robustness of Machine Reading Comprehension Models
Machine Reading Comprehension (MRC) is an important testbed for evaluati...
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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...
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Cross-Supervised Joint-Event-Extraction with Heterogeneous Information Networks
Joint-event-extraction, which extracts structural information (i.e., ent...
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CharBERT: Character-aware Pre-trained Language Model
Most pre-trained language models (PLMs) construct word representations a...
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