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Entity-level Factual Consistency of Abstractive Text Summarization
A key challenge for abstractive summarization is ensuring factual consis...
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Learning Contextual Representations for Semantic Parsing with Generation-Augmented Pre-Training
Most recently, there has been significant interest in learning contextua...
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Answering Ambiguous Questions through Generative Evidence Fusion and Round-Trip Prediction
In open-domain question answering, questions are highly likely to be amb...
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Distributed Stochastic Consensus Optimization with Momentum for Nonconvex Nonsmooth Problems
While many distributed optimization algorithms have been proposed for so...
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End-to-End Synthetic Data Generation for Domain Adaptation of Question Answering Systems
We propose an end-to-end approach for synthetic QA data generation. Our ...
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Hybrid Tree-based Models for Insurance Claims
Two-part models and Tweedie generalized linear models (GLMs) have been u...
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Optimally Combining Classifiers for Semi-Supervised Learning
This paper considers semi-supervised learning for tabular data. It is wi...
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Master-Auxiliary: an efficient aggregation strategy for video anomaly detection
The aim of surveillance video anomaly detection is to detect events that...
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Template-Based Question Generation from Retrieved Sentences for Improved Unsupervised Question Answering
Question Answering (QA) is in increasing demand as the amount of informa...
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Triplet Online Instance Matching Loss for Person Re-identification
Mining the shared features of same identity in different scene, and the ...
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Who did They Respond to? Conversation Structure Modeling using Masked Hierarchical Transformer
Conversation structure is useful for both understanding the nature of co...
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A Boost Strategy to the Generative Error Based Video Anomaly Detection Algorithms
The generation error (GE) based algorithms show excellent performances i...
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Multiple-Source Ellipsoidal Localization Using Acoustic Energy Measurements
In this paper, the multiple-source ellipsoidal localization problem base...
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Universal Text Representation from BERT: An Empirical Study
We present a systematic investigation of layer-wise BERT activations for...
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Multi-passage BERT: A Globally Normalized BERT Model for Open-domain Question Answering
BERT model has been successfully applied to open-domain QA tasks. Howeve...
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Multi-Granular Text Encoding for Self-Explaining Categorization
Self-explaining text categorization requires a classifier to make a pred...
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Cross-lingual Knowledge Graph Alignment via Graph Matching Neural Network
Previous cross-lingual knowledge graph (KG) alignment studies rely on en...
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Semantic Neural Machine Translation using AMR
It is intuitive that semantic representations can be useful for machine ...
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SQL-to-Text Generation with Graph-to-Sequence Model
Previous work approaches the SQL-to-text generation task using vanilla S...
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Exploring Graph-structured Passage Representation for Multi-hop Reading Comprehension with Graph Neural Networks
Multi-hop reading comprehension focuses on one type of factoid question,...
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N-ary Relation Extraction using Graph State LSTM
Cross-sentence n-ary relation extraction detects relations among n entit...
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Exploiting Rich Syntactic Information for Semantic Parsing with Graph-to-Sequence Model
Existing neural semantic parsers mainly utilize a sequence encoder, i.e....
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A Graph-to-Sequence Model for AMR-to-Text Generation
The problem of AMR-to-text generation is to recover a text representing ...
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Graph2Seq: Graph to Sequence Learning with Attention-based Neural Networks
Celebrated Sequence to Sequence learning (Seq2Seq) and its fruitful vari...
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Knowledge Base Relation Detection via Multi-View Matching
Relation detection is a core component for Knowledge Base Question Answe...
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Evidence Aggregation for Answer Re-Ranking in Open-Domain Question Answering
A popular recent approach to answering open-domain questions is to first...
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A Unified Query-based Generative Model for Question Generation and Question Answering
We propose a query-based generative model for solving both tasks of ques...
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R^3: Reinforced Reader-Ranker for Open-Domain Question Answering
In recent years researchers have achieved considerable success applying ...
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k-Nearest Neighbor Augmented Neural Networks for Text Classification
In recent years, many deep-learning based models are proposed for text c...
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Bilateral Multi-Perspective Matching for Natural Language Sentences
Natural language sentence matching is a fundamental technology for a var...
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AMR-to-text Generation with Synchronous Node Replacement Grammar
This paper addresses the task of AMR-to-text generation by leveraging sy...
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Multi-Perspective Context Matching for Machine Comprehension
Previous machine comprehension (MC) datasets are either too small to tra...
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Supervised Attentions for Neural Machine Translation
In this paper, we improve the attention or alignment accuracy of neural ...
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Sense Embedding Learning for Word Sense Induction
Conventional word sense induction (WSI) methods usually represent each i...
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Vocabulary Manipulation for Neural Machine Translation
In order to capture rich language phenomena, neural machine translation ...
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Coverage Embedding Models for Neural Machine Translation
In this paper, we enhance the attention-based neural machine translation...
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Sentence Similarity Learning by Lexical Decomposition and Composition
Most conventional sentence similarity methods only focus on similar part...
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Semi-supervised Clustering for Short Text via Deep Representation Learning
In this work, we propose a semi-supervised method for short text cluster...
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FAQ-based Question Answering via Word Alignment
In this paper, we propose a novel word-alignment-based method to solve t...
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Using a Dynamic Neural Field Model to Explore a Direct Collicular Inhibition Account of Inhibition of Return
When the interval between a transient ash of light (a "cue") and a secon...
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