b'Duyu Tang'

Syntax-Enhanced Pre-trained Model

We study the problem of leveraging the syntactic structure of text to en...
12/28/2020 ∙ by Zenan Xu, et al. ∙ 0 ∙ share

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Neural Deepfake Detection with Factual Structure of Text

Deepfake detection, the task of automatically discriminating machine-gen...
10/15/2020 ∙ by Wanjun Zhong, et al. ∙ 0 ∙ share

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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...
09/22/2020 ∙ by Shuo Ren, et al. ∙ 0 ∙ share

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GraphCodeBERT: Pre-training Code Representations with Data Flow

Pre-trained models for programming language have achieved dramatic empir...
09/17/2020 ∙ by Daya Guo, et al. ∙ 0 ∙ share

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Evidence-Aware Inferential Text Generation with Vector Quantised Variational AutoEncoder

Generating inferential texts about an event in different perspectives re...
06/15/2020 ∙ by Daya Guo, et al. ∙ 0 ∙ share

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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...
04/29/2020 ∙ by Ruize Wang, et al. ∙ 7 ∙ share

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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...
04/28/2020 ∙ by Wanjun Zhong, et al. ∙ 0 ∙ share

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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...
04/25/2020 ∙ by Wanjun Zhong, et al. ∙ 0 ∙ share

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Pre-training Text Representations as Meta Learning

Pre-training text representations has recently been shown to significant...
04/12/2020 ∙ by Shangwen Lv, et al. ∙ 0 ∙ share

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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...
04/07/2020 ∙ by Daya Guo, et al. ∙ 9 ∙ share

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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...
02/19/2020 ∙ by Zhangyin Feng, et al. ∙ 0 ∙ share

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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...
02/05/2020 ∙ by Ruize Wang, et al. ∙ 0 ∙ share

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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...
10/11/2019 ∙ by Tao Shen, et al. ∙ 0 ∙ share

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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,...
09/12/2019 ∙ by Yibo Sun, et al. ∙ 0 ∙ share

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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...
09/09/2019 ∙ by Shangwen Lv, et al. ∙ 0 ∙ share

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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...
09/09/2019 ∙ by Wanjun Zhong, et al. ∙ 17 ∙ share

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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...
06/17/2019 ∙ by Daya Guo, et al. ∙ 0 ∙ share

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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...
05/24/2019 ∙ by Chenfei Wu, et al. ∙ 0 ∙ share

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Knowledge-Aware Conversational Semantic Parsing Over Web Tables

Conversational semantic parsing over tables requires knowledge acquiring...
09/12/2018 ∙ by Yibo Sun, et al. ∙ 0 ∙ share

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Knowledge Based Machine Reading Comprehension

Machine reading comprehension (MRC) requires reasoning about both the kn...
09/12/2018 ∙ by Yibo Sun, et al. ∙ 0 ∙ share

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Improving Question Answering by Commonsense-Based Pre-Training

Although neural network approaches achieve remarkable success on a varie...
09/05/2018 ∙ by Wanjun Zhong, et al. ∙ 0 ∙ share

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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...
08/20/2018 ∙ by Daya Guo, et al. ∙ 0 ∙ share

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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...
05/29/2018 ∙ by Junwei Bao, et al. ∙ 0 ∙ share

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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...
04/23/2018 ∙ by Yibo Sun, et al. ∙ 0 ∙ share

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Assertion-based QA with Question-Aware Open Information Extraction

We present assertion based question answering (ABQA), an open domain que...
01/23/2018 ∙ by Zhao Yan, et al. ∙ 0 ∙ share

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Content-Based Table Retrieval for Web Queries

Understanding the connections between unstructured text and semi-structu...
06/08/2017 ∙ by Zhao Yan, et al. ∙ 0 ∙ share

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Question Answering and Question Generation as Dual Tasks

We study the problem of joint question answering (QA) and question gener...
06/07/2017 ∙ by Duyu Tang, et al. ∙ 0 ∙ share

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Aspect Level Sentiment Classification with Deep Memory Network

We introduce a deep memory network for aspect level sentiment classifica...
05/28/2016 ∙ by Duyu Tang, et al. ∙ 0 ∙ share

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A Planning based Framework for Essay Generation

Generating an article automatically with computer program is a challengi...
12/18/2015 ∙ by Bing Qin, et al. ∙ 0 ∙ share

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Effective LSTMs for Target-Dependent Sentiment Classification

Target-dependent sentiment classification remains a challenge: modeling ...
12/03/2015 ∙ by Duyu Tang, et al. ∙ 0 ∙ share

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Duyu Tang

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