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TitleStatusHype
Learning to Diagnose: Assimilating Clinical Narratives using Deep Reinforcement Learning—0
A Neural Model for Compositional Word Embeddings and Sentence Processing—0
Learning to Discriminate Noises for Incorporating External Information in Neural Machine Translation—0
Learning to Disentangle Textual Representations and Attributes via Mutual Information—0
Learning to Distill: The Essence Vector Modeling Framework—0
Learning-To-Embed: Adopting Transformer based models for E-commerce Products Representation Learning—0
Sentence Clustering using PageRank Topic Model—0
Sentence Clustering via Projection over Term Clusters—0
Sentence Complexity Estimation for Chinese-speaking Learners of Japanese—0
Learning to Explain: Prototype-Based Surrogate Models for LLM Classification—0
Sentence Complexity in Context—0
Learning to Extract Coherent Summary via Deep Reinforcement Learning—0
Learning to Flip the Sentiment of Reviews from Non-Parallel Corpora—0
Learning to Focus on the Foreground for Temporal Sentence Grounding—0
A Neural Local Coherence Model for Text Quality Assessment—0
A neural interlingua for multilingual machine translation—0
A Neural Attention Model for Disfluency Detection—0
Learning to Generate Multiple Style Transfer Outputs for an Input Sentence—0
Sentence Compression as Deletion with Contextual Embeddings—0
CinPatent: Datasets for Patent Classification—0
Learning to Generate Questions by Recovering Answer-containing Sentences—0
An entity-driven recursive neural network model for chinese discourse coherence modeling—0
Sentence Compression as Tree Transduction—0
Learning to hash with semantic similarity metrics and empirical KL divergence—0
Learning to Identify Sentence Parallelism in Student Essays—0
Sentence Compression by Deletion with LSTMs—0
Style-transfer and Paraphrase: Looking for a Sensible Semantic Similarity Metric—0
Learning to Interpret and Describe Abstract Scenes—0
Learning to Make Inferences in a Semantic Parsing Task—0
Sentence Compression For Automatic Subtitling—0
Learning to Model Multimodal Semantic Alignment for Story Visualization—0
Learning to Multi-Task Learn for Better Neural Machine Translation—0
Learning to Organize a Bag of Words into Sentences with Neural Networks: An Empirical Study—0
Learning to Paraphrase for Question Answering—0
Sentence Compression for Target-Polarity Word Collocation Extraction—0
Sentence Compression via DC Programming Approach—0
Learning to Predict Explainable Plots for Neural Story Generation—0
Learning to Prioritize: Precision-Driven Sentence Filtering for Long Text Summarization—0
Learning to Prioritize: Precision-Driven Sentence Filtering for Long Text Summarization—0
Sentence Compression with Joint Structural Inference—0
An Entity-Driven Framework for Abstractive Summarization—0
Learning to Refine Source Representations for Neural Machine Translation—0
Sentence Compression with Semantic Role Constraints—0
Learning to Respond to Mixed-code Queries using Bilingual Word Embeddings—0
Learning to Scale Multilingual Representations for Vision-Language Tasks—0
Sentence Concatenation Approach to Data Augmentation for Neural Machine Translation—0
Learning to Share by Masking the Non-shared for Multi-domain Sentiment Classification—0
Learning to Simplify with Data Hopelessly Out of Alignment—0
Learning to Solve NLP Tasks in an Incremental Number of Languages—0
A Context-aware Attention Network for Interactive Question Answering—0
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