Bing Qin

Truth Discovery with Memory Network

Truth discovery is to resolve conflicts and find the truth from multiple...
11/07/2016 ∙ by Luyang Li, 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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Exploring Segment Representations for Neural Segmentation Models

Many natural language processing (NLP) tasks can be generalized into seg...
04/19/2016 ∙ by Yijia Liu, 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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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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Parsing Tweets into Universal Dependencies

We study the problem of analyzing tweets with Universal Dependencies. We...
04/23/2018 ∙ by Yijia Liu, et al. ∙ 0 ∙ share

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Distilling Knowledge for Search-based Structured Prediction

Many natural language processing tasks can be modeled into structured pr...
05/29/2018 ∙ by Yijia Liu, 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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An AMR Aligner Tuned by Transition-based Parser

In this paper, we propose a new rich resource enhanced AMR aligner which...
10/08/2018 ∙ by Yijia Liu, et al. ∙ 0 ∙ share

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Learning to Refine Source Representations for Neural Machine Translation

Neural machine translation (NMT) models generally adopt an encoder-decod...
12/26/2018 ∙ by Xinwei Geng, et al. ∙ 0 ∙ share

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Towards Time-Aware Distant Supervision for Relation Extraction

Distant supervision for relation extraction heavily suffers from the wro...
03/08/2019 ∙ by Tianwen Jiang, et al. ∙ 0 ∙ share

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Attribute Acquisition in Ontology based on Representation Learning of Hierarchical Classes and Attributes

Attribute acquisition for classes is a key step in ontology construction...
03/08/2019 ∙ by Tianwen Jiang, et al. ∙ 0 ∙ share

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Learning to Ask Unanswerable Questions for Machine Reading Comprehension

Machine reading comprehension with unanswerable questions is a challengi...
06/14/2019 ∙ by Haichao Zhu, et al. ∙ 0 ∙ share

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Pre-Training with Whole Word Masking for Chinese BERT

Bidirectional Encoder Representations from Transformers (BERT) has shown...
06/19/2019 ∙ by Yiming Cui, et al. ∙ 0 ∙ share

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Constructing Information-Lossless Biological Knowledge Graphs from Conditional Statements

Conditions are essential in the statements of biological literature. Wit...
06/26/2019 ∙ by Tianwen Jiang, et al. ∙ 0 ∙ share

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Table-to-Text Generation with Effective Hierarchical Encoder on Three Dimensions (Row, Column and Time)

Although Seq2Seq models for table-to-text generation have achieved remar...
09/05/2019 ∙ by Heng Gong, 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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Cross-Lingual Machine Reading Comprehension

Though the community has made great progress on Machine Reading Comprehe...
09/01/2019 ∙ by Yiming Cui, et al. ∙ 0 ∙ share

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An Annotation Scheme of A Large-scale Multi-party Dialogues Dataset for Discourse Parsing and Machine Comprehension

In this paper, we propose the scheme for annotating large-scale multi-pa...
11/08/2019 ∙ by Jiaqi Li, et al. ∙ 0 ∙ share

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Transforming Wikipedia into Augmented Data for Query-Focused Summarization

The manual construction of a query-focused summarization corpus is costl...
11/08/2019 ∙ by Haichao Zhu, et al. ∙ 0 ∙ share

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Learning to Select Bi-Aspect Information for Document-Scale Text Content Manipulation

In this paper, we focus on a new practical task, document-scale text con...
02/24/2020 ∙ by Xiaocheng Feng, et al. ∙ 0 ∙ 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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Molweni: A Challenge Multiparty Dialogues-based Machine Reading Comprehension Dataset with Discourse Structure

We present the Molweni dataset, a machine reading comprehension (MRC) da...
04/10/2020 ∙ by Jiaqi Li, et al. ∙ 0 ∙ share

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Revisiting Pre-Trained Models for Chinese Natural Language Processing

Bidirectional Encoder Representations from Transformers (BERT) has shown...
04/29/2020 ∙ by Yiming Cui, et al. ∙ 0 ∙ share

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How Does Selective Mechanism Improve Self-Attention Networks?

Self-attention networks (SANs) with selective mechanism has produced sub...
05/03/2020 ∙ by Xinwei Geng, et al. ∙ 0 ∙ share

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Canonicalizing Open Knowledge Bases with Multi-Layered Meta-Graph Neural Network

Noun phrases and relational phrases in Open Knowledge Bases are often no...
06/17/2020 ∙ by Tianwen Jiang, et al. ∙ 0 ∙ share

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Bing Qin

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