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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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Neural Deepfake Detection with Factual Structure of Text
Deepfake detection, the task of automatically discriminating machine-gen...
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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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Leveraging Declarative Knowledge in Text and First-Order Logic for Fine-Grained Propaganda Detection
We study the detection of propagandistic text fragments in news articles...
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LogicalFactChecker: Leveraging Logical Operations for Fact Checking with Graph Module Network
Verifying the correctness of a textual statement requires not only seman...
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A Heterogeneous Graph with Factual, Temporal and Logical Knowledge for Question Answering Over Dynamic Contexts
We study question answering over a dynamic textual environment. Although...
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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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K-Adapter: Infusing Knowledge into Pre-Trained Models with Adapters
We study the problem of injecting knowledge into large pre-trained model...
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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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Neural Semantic Parsing in Low-Resource Settings with Back-Translation and Meta-Learning
Neural semantic parsing has achieved impressive results in recent years,...
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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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Reasoning Over Semantic-Level Graph for Fact Checking
We study fact-checking in this paper, which aims to verify a textual cla...
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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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Deep Reason: A Strong Baseline for Real-World Visual Reasoning
This paper presents a strong baseline for real-world visual reasoning (G...
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Knowledge-Aware Conversational Semantic Parsing Over Web Tables
Conversational semantic parsing over tables requires knowledge acquiring...
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Knowledge Based Machine Reading Comprehension
Machine reading comprehension (MRC) requires reasoning about both the kn...
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Improving Question Answering by Commonsense-Based Pre-Training
Although neural network approaches achieve remarkable success on a varie...
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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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Table-to-Text: Describing Table Region with Natural Language
In this paper, we present a generative model to generate a natural langu...
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Semantic Parsing with Syntax- and Table-Aware SQL Generation
We present a generative model to map natural language questions into SQL...
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Assertion-based QA with Question-Aware Open Information Extraction
We present assertion based question answering (ABQA), an open domain que...
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Content-Based Table Retrieval for Web Queries
Understanding the connections between unstructured text and semi-structu...
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Question Answering and Question Generation as Dual Tasks
We study the problem of joint question answering (QA) and question gener...
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Aspect Level Sentiment Classification with Deep Memory Network
We introduce a deep memory network for aspect level sentiment classifica...
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A Planning based Framework for Essay Generation
Generating an article automatically with computer program is a challengi...
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Effective LSTMs for Target-Dependent Sentiment Classification
Target-dependent sentiment classification remains a challenge: modeling ...
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