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Dialogue Discourse-Aware Graph Convolutional Networks for Abstractive Meeting Summarization
Sequence-to-sequence methods have achieved promising results for textual...
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Biomedical Knowledge Graph Refinement with Embedding and Logic Rules
Currently, there is a rapidly increasing need for high-quality biomedica...
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Incorporating Commonsense Knowledge into Abstractive Dialogue Summarization via Heterogeneous Graph Networks
Abstractive dialogue summarization is the task of capturing the highligh...
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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...
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How Does Selective Mechanism Improve Self-Attention Networks?
Self-attention networks (SANs) with selective mechanism has produced sub...
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Revisiting Pre-Trained Models for Chinese Natural Language Processing
Bidirectional Encoder Representations from Transformers (BERT) has shown...
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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...
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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...
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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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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...
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Transforming Wikipedia into Augmented Data for Query-Focused Summarization
The manual construction of a query-focused summarization corpus is costl...
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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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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...
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Cross-Lingual Machine Reading Comprehension
Though the community has made great progress on Machine Reading Comprehe...
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Constructing Information-Lossless Biological Knowledge Graphs from Conditional Statements
Conditions are essential in the statements of biological literature. Wit...
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Pre-Training with Whole Word Masking for Chinese BERT
Bidirectional Encoder Representations from Transformers (BERT) has shown...
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Learning to Ask Unanswerable Questions for Machine Reading Comprehension
Machine reading comprehension with unanswerable questions is a challengi...
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Towards Time-Aware Distant Supervision for Relation Extraction
Distant supervision for relation extraction heavily suffers from the wro...
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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...
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Learning to Refine Source Representations for Neural Machine Translation
Neural machine translation (NMT) models generally adopt an encoder-decod...
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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...
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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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Distilling Knowledge for Search-based Structured Prediction
Many natural language processing tasks can be modeled into structured pr...
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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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Parsing Tweets into Universal Dependencies
We study the problem of analyzing tweets with Universal Dependencies. We...
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Truth Discovery with Memory Network
Truth discovery is to resolve conflicts and find the truth from multiple...
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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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Exploring Segment Representations for Neural Segmentation Models
Many natural language processing (NLP) tasks can be generalized into seg...
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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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