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TitleStatusHype
Higher-order Comparisons of Sentence Encoder Representations—0
Higher-Order Syntactic Attention Network for Longer Sentence Compression—0
High-Quality Data Augmentation for Low-Resource NMT: Combining a Translation Memory, a GAN Generator, and Filtering—0
High Quality Related Search Query Suggestions using Deep Reinforcement Learning—0
High Quality Streaming Speech Synthesis with Low, Sentence-Length-Independent Latency—0
High Recall Data-to-text Generation with Progressive Edit—0
High Recall Open IE for Relation Discovery—0
High-throughput relation extraction algorithm development associating knowledge articles and electronic health records—0
“Hi, how can I help you?” Improving Machine Translation of Conversational Content in a Business Context—0
Hindi-English Code-Switching Speech Corpus—0
Hindi Question Generation Using Dependency Structures—0
hinglishNorm - A Corpus of Hindi-English Code Mixed Sentences for Text Normalization—0
HIN: Hierarchical Inference Network for Document-Level Relation Extraction—0
Historical German Text Normalization Using Type- and Token-Based Language Modeling—0
Hitachi at SemEval-2022 Task 2: On the Effectiveness of Span-based Classification Approaches for Multilingual Idiomaticity Detection—0
HIT at SemEval-2022 Task 2: Pre-trained Language Model for Idioms Detection—0
HITMI&T at SemEval-2022 Task 4: Investigating Task-Adaptive Pretraining And Attention Mechanism On PCL Detection—0
HiTRANS: A Hierarchical Transformer Network for Nested Named Entity Recognition—0
Hi-Transformer: Hierarchical Interactive Transformer for Efficient and Effective Long Document Modeling—0
HITS-SBD at the FinSBD Task: Machine Learning vs. Rule-based Sentence Boundary Detection—0
Hitting "Probe"rty with Non-Linearity, and More—0
HiURE: Hierarchical Exemplar Contrastive Learning for Unsupervised Relation Extraction—0
HM-BiTAM: Bilingual Topic Exploration, Word Alignment, and Translation—0
HNCSE: Advancing Sentence Embeddings via Hybrid Contrastive Learning with Hard Negatives—0
``Hold on honey, men at work'': A semi-supervised approach to detecting sexism in sitcoms—0
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