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Syntax-Enhanced Pre-trained Model
We study the problem of leveraging the syntactic structure of text to en...
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CodeBLEU: a Method for Automatic Evaluation of Code Synthesis
Evaluation metrics play a vital role in the growth of an area as it defi...
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GraphCodeBERT: Pre-training Code Representations with Data Flow
Pre-trained models for programming language have achieved dramatic empir...
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Evidence-Aware Inferential Text Generation with Vector Quantised Variational AutoEncoder
Generating inferential texts about an event in different perspectives re...
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Pre-training Text Representations as Meta Learning
Pre-training text representations has recently been shown to significant...
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Inferential Text Generation with Multiple Knowledge Sources and Meta-Learning
We study the problem of generating inferential texts of events for a var...
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CodeBERT: A Pre-Trained Model for Programming and Natural Languages
We present CodeBERT, a bimodal pre-trained model for programming languag...
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Multi-Task Learning for Conversational Question Answering over a Large-Scale Knowledge Base
We consider the problem of conversational question answering over a larg...
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Graph-Based Reasoning over Heterogeneous External Knowledge for Commonsense Question Answering
Commonsense question answering aims to answer questions which require ba...
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Coupling Retrieval and Meta-Learning for Context-Dependent Semantic Parsing
In this paper, we present an approach to incorporate retrieved datapoint...
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Knowledge Based Machine Reading Comprehension
Machine reading comprehension (MRC) requires reasoning about both the kn...
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Question Generation from SQL Queries Improves Neural Semantic Parsing
We study how to learn a semantic parser of state-of-the-art accuracy wit...
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