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Dynamic Hybrid Relation Network for Cross-Domain Context-Dependent Semantic Parsing
Semantic parsing has long been a fundamental problem in natural language...
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Nested Named Entity Recognition with Partially-Observed TreeCRFs
Named entity recognition (NER) is a well-studied task in natural languag...
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Bearings degradation monitoring indicators based on discarded projected space information and piecewise linear representation
Condition-based maintenance of rotating mechanics requests efficient bea...
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An Investigation of Potential Function Designs for Neural CRF
The neural linear-chain CRF model is one of the most widely-used approac...
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VECO: Variable Encoder-decoder Pre-training for Cross-lingual Understanding and Generation
Recent studies about learning multilingual representations have achieved...
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Keyphrase Extraction with Dynamic Graph Convolutional Networks and Diversified Inference
Keyphrase extraction (KE) aims to summarize a set of phrases that accura...
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Structural Knowledge Distillation
Knowledge distillation is a critical technique to transfer knowledge bet...
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Automated Concatenation of Embeddings for Structured Prediction
Pretrained contextualized embeddings are powerful word representations f...
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Aspect Sentiment Classification with Aspect-Specific Opinion Spans
Aspect based sentiment analysis, predicting sentiment polarity of given ...
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More Embeddings, Better Sequence Labelers?
Recent work proposes a family of contextual embeddings that significantl...
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Fast and Accurate Sequence Labeling with Approximate Inference Network
The linear-chain Conditional Random Field (CRF) model is one of the most...
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Contrastive Triple Extraction with Generative Transformer
Triple extraction is an essential task in information extraction for nat...
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Structure-Level Knowledge Distillation For Multilingual Sequence Labeling
Multilingual sequence labeling is a task of predicting label sequences u...
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CoTK: An Open-Source Toolkit for Fast Development and Fair Evaluation of Text Generation
In text generation evaluation, many practical issues, such as inconsiste...
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A Knowledge-Enhanced Pretraining Model for Commonsense Story Generation
Story generation, namely generating a reasonable story from a leading co...
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Event Ticket Price Prediction with Deep Neural Network on Spatial-Temporal Sparse Data
Event ticket price prediction is important to marketing strategy for any...
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Knowing What, How and Why: A Near Complete Solution for Aspect-based Sentiment Analysis
Target-based sentiment analysis or aspect-based sentiment analysis (ABSA...
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ARAML: A Stable Adversarial Training Framework for Text Generation
Most of the existing generative adversarial networks (GAN) for text gene...
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Unsupervised Multi-modal Neural Machine Translation
Unsupervised neural machine translation (UNMT) has recently achieved rem...
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