b'Duyu Tang'

research

∙ 06/28/2023

SkillNet-X: A Multilingual Multitask Model with Sparsely Activated Skills

Traditional multitask learning methods basically can only exploit common...

0 Zhangyin Feng, et al. ∙

research

∙ 05/26/2023

Improved Visual Story Generation with Adaptive Context Modeling

Diffusion models developed on top of powerful text-to-image generation m...

0 Zhangyin Feng, et al. ∙

research

∙ 02/20/2023

STOA-VLP: Spatial-Temporal Modeling of Object and Action for Video-Language Pre-training

Although large-scale video-language pre-training models, which usually b...

0 Weihong Zhong, et al. ∙

research

∙ 08/03/2022

Effidit: Your AI Writing Assistant

In this technical report, we introduce Effidit (Efficient and Intelligen...

3 Shuming Shi, et al. ∙

research

∙ 05/12/2022

One Model, Multiple Modalities: A Sparsely Activated Approach for Text, Sound, Image, Video and Code

People perceive the world with multiple senses (e.g., through hearing so...

9 Yong Dai, et al. ∙

research

∙ 04/26/2022

SkillNet-NLG: General-Purpose Natural Language Generation with a Sparsely Activated Approach

We present SkillNet-NLG, a sparsely activated approach that handles many...

0 Junwei Liao, et al. ∙

research

∙ 04/26/2022

Pretraining Chinese BERT for Detecting Word Insertion and Deletion Errors

Chinese BERT models achieve remarkable progress in dealing with grammati...

1 Cong Zhou, et al. ∙

research

∙ 03/12/2022

MarkBERT: Marking Word Boundaries Improves Chinese BERT

We present a Chinese BERT model dubbed MarkBERT that uses word informati...

12 Linyang Li, et al. ∙

research

∙ 03/07/2022

One Model, Multiple Tasks: Pathways for Natural Language Understanding

This paper presents a Pathways approach to handle many tasks at once. Ou...

1 Duyu Tang, et al. ∙

research

∙ 03/01/2022

"Is Whole Word Masking Always Better for Chinese BERT?": Probing on Chinese Grammatical Error Correction

Whole word masking (WWM), which masks all subwords corresponding to a wo...

2 Yong Dai, et al. ∙

research

∙ 03/01/2022

Exploring and Adapting Chinese GPT to Pinyin Input Method

While GPT has become the de-facto method for text generation tasks, its ...

0 Minghuan Tan, et al. ∙

research

∙ 02/24/2022

Pretraining without Wordpieces: Learning Over a Vocabulary of Millions of Words

The standard BERT adopts subword-based tokenization, which may break a w...

15 Zhangyin Feng, et al. ∙

research

∙ 04/05/2021

WhiteningBERT: An Easy Unsupervised Sentence Embedding Approach

Producing the embedding of a sentence in an unsupervised way is valuable...

0 Junjie Huang, et al. ∙

research

∙ 12/28/2020

Syntax-Enhanced Pre-trained Model

We study the problem of leveraging the syntactic structure of text to en...

0 Zenan Xu, et al. ∙

research

∙ 10/15/2020

Neural Deepfake Detection with Factual Structure of Text

Deepfake detection, the task of automatically discriminating machine-gen...

0 Wanjun Zhong, et al. ∙

research

∙ 09/22/2020

CodeBLEU: a Method for Automatic Evaluation of Code Synthesis

Evaluation metrics play a vital role in the growth of an area as it defi...

0 Shuo Ren, et al. ∙

research

∙ 09/17/2020

GraphCodeBERT: Pre-training Code Representations with Data Flow

Pre-trained models for programming language have achieved dramatic empir...

0 Daya Guo, et al. ∙

research

∙ 06/15/2020

Evidence-Aware Inferential Text Generation with Vector Quantised Variational AutoEncoder

Generating inferential texts about an event in different perspectives re...

0 Daya Guo, et al. ∙

research

∙ 04/29/2020

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...

7 Ruize Wang, et al. ∙

research

∙ 04/28/2020

LogicalFactChecker: Leveraging Logical Operations for Fact Checking with Graph Module Network

Verifying the correctness of a textual statement requires not only seman...

0 Wanjun Zhong, et al. ∙

research

∙ 04/25/2020

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...

0 Wanjun Zhong, et al. ∙

research

∙ 04/12/2020

Pre-training Text Representations as Meta Learning

Pre-training text representations has recently been shown to significant...

0 Shangwen Lv, et al. ∙

research

∙ 04/07/2020

Inferential Text Generation with Multiple Knowledge Sources and Meta-Learning

We study the problem of generating inferential texts of events for a var...

9 Daya Guo, et al. ∙

research

∙ 02/19/2020

CodeBERT: A Pre-Trained Model for Programming and Natural Languages

We present CodeBERT, a bimodal pre-trained model for programming languag...

0 Zhangyin Feng, et al. ∙

research

∙ 02/05/2020

K-Adapter: Infusing Knowledge into Pre-Trained Models with Adapters

We study the problem of injecting knowledge into large pre-trained model...

0 Ruize Wang, et al. ∙

research

∙ 10/11/2019

Multi-Task Learning for Conversational Question Answering over a Large-Scale Knowledge Base

We consider the problem of conversational question answering over a larg...

0 Tao Shen, et al. ∙

research

∙ 09/12/2019

Neural Semantic Parsing in Low-Resource Settings with Back-Translation and Meta-Learning

Neural semantic parsing has achieved impressive results in recent years,...

0 Yibo Sun, et al. ∙

research

∙ 09/09/2019

Graph-Based Reasoning over Heterogeneous External Knowledge for Commonsense Question Answering

Commonsense question answering aims to answer questions which require ba...

0 Shangwen Lv, et al. ∙

research

∙ 09/09/2019

Reasoning Over Semantic-Level Graph for Fact Checking

We study fact-checking in this paper, which aims to verify a textual cla...

17 Wanjun Zhong, et al. ∙

research

∙ 06/17/2019

Coupling Retrieval and Meta-Learning for Context-Dependent Semantic Parsing

In this paper, we present an approach to incorporate retrieved datapoint...

0 Daya Guo, et al. ∙

research

∙ 05/24/2019

Deep Reason: A Strong Baseline for Real-World Visual Reasoning

This paper presents a strong baseline for real-world visual reasoning (G...

0 Chenfei Wu, et al. ∙

research

∙ 09/12/2018

Knowledge-Aware Conversational Semantic Parsing Over Web Tables

Conversational semantic parsing over tables requires knowledge acquiring...

0 Yibo Sun, et al. ∙

research

∙ 09/12/2018

Knowledge Based Machine Reading Comprehension

Machine reading comprehension (MRC) requires reasoning about both the kn...

0 Yibo Sun, et al. ∙

research

∙ 09/05/2018

Improving Question Answering by Commonsense-Based Pre-Training

Although neural network approaches achieve remarkable success on a varie...

0 Wanjun Zhong, et al. ∙

research

∙ 08/20/2018

Question Generation from SQL Queries Improves Neural Semantic Parsing

We study how to learn a semantic parser of state-of-the-art accuracy wit...

0 Daya Guo, et al. ∙

research

∙ 05/29/2018

Table-to-Text: Describing Table Region with Natural Language

In this paper, we present a generative model to generate a natural langu...

0 Junwei Bao, et al. ∙

research

∙ 04/23/2018

Semantic Parsing with Syntax- and Table-Aware SQL Generation

We present a generative model to map natural language questions into SQL...

0 Yibo Sun, et al. ∙

research

∙ 01/23/2018

Assertion-based QA with Question-Aware Open Information Extraction

We present assertion based question answering (ABQA), an open domain que...

0 Zhao Yan, et al. ∙

research

∙ 06/08/2017

Content-Based Table Retrieval for Web Queries

Understanding the connections between unstructured text and semi-structu...

0 Zhao Yan, et al. ∙

research

∙ 06/07/2017

Question Answering and Question Generation as Dual Tasks

We study the problem of joint question answering (QA) and question gener...

0 Duyu Tang, et al. ∙

research

∙ 05/28/2016

Aspect Level Sentiment Classification with Deep Memory Network

We introduce a deep memory network for aspect level sentiment classifica...

0 Duyu Tang, et al. ∙

research

∙ 12/18/2015

A Planning based Framework for Essay Generation

Generating an article automatically with computer program is a challengi...

0 Bing Qin, et al. ∙

research

∙ 12/03/2015

Effective LSTMs for Target-Dependent Sentiment Classification

Target-dependent sentiment classification remains a challenge: modeling ...

0 Duyu Tang, et al. ∙

Duyu Tang

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