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TitleStatusHype
Deleter: Leveraging BERT to Perform Unsupervised Successive Text Compression0
Natural Adversarial Sentence Generation with Gradient-based PerturbationCode0
Features in Extractive Supervised Single-document Summarization: Case of Persian NewsCode0
Extracting and Learning a Dependency-Enhanced Type Lexicon for Dutch0
Efficient Sentence Embedding using Discrete Cosine TransformCode0
Deep learning with sentence embeddings pre-trained on biomedical corpora improves the performance of finding similar sentences in electronic medical records0
TransSent: Towards Generation of Structured Sentences with Discourse Marker0
Syntax-Aware Aspect Level Sentiment Classification with Graph Attention Networks0
Investigating BERT's Knowledge of Language: Five Analysis Methods with NPIsCode1
NERO: A Neural Rule Grounding Framework for Label-Efficient Relation ExtractionCode0
Robustness to Modification with Shared Words in Paraphrase Identification0
Specializing Unsupervised Pretraining Models for Word-Level Semantic SimilarityCode0
An Entity-Driven Framework for Abstractive Summarization0
Simpler and Faster Learning of Adaptive Policies for Simultaneous Translation0
Annotation and Classification of Sentence-level Revision Improvement0
Encode, Tag, Realize: High-Precision Text EditingCode0
Transfer Fine-Tuning: A BERT Case StudyCode0
Local Embeddings for Relational Data Integration0
Attention-based Pairwise Multi-Perspective Convolutional Neural Network for Answer Selection in Question Answering0
Context-Aware Monolingual Repair for Neural Machine TranslationCode1
Classification Betters Regression in Query-based Multi-document Summarisation Techniques for Question Answering: Macquarie University at BioASQ7b0
Sentence-Level Content Planning and Style Specification for Neural Text Generation0
Modeling Long-Range Context for Concurrent Dialogue Acts Recognition0
Improving Context-aware Neural Machine Translation with Target-side Context0
Enhancing Natural Language Understanding through Cross-Modal Interaction: Meaning Recovery from Acoustically Noisy Speech0
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