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Showing 5801–5850 of 10752 papers

TitleStatusHype
Entity-Aware Self-Attention and Contextualized GCN for Enhanced Relation Extraction in Long Sentences—0
EntityCS: Improving Zero-Shot Cross-lingual Transfer with Entity-Centric Code Switching—0
Entity Framing and Role Portrayal in the News—0
Entropy and Graph Based Modelling of Document Coherence using Discourse Entities: An Application—0
Equation Parsing: Mapping Sentences to Grounded Equations—0
ERAS: Evaluating the Robustness of Chinese NLP Models to Morphological Garden Path Errors—0
ERGO: Event Relational Graph Transformer for Document-level Event Causality Identification—0
ERNIE at SemEval-2020 Task 10: Learning Word Emphasis Selection by Pre-trained Language Model—0
ERNIE-ViL: Knowledge Enhanced Vision-Language Representations Through Scene Graph—0
ERUPD -- English to Roman Urdu Parallel Dataset—0
eSCAPE: a Large-scale Synthetic Corpus for Automatic Post-Editing—0
ESCL: Equivariant Self-Contrastive Learning for Sentence Representations—0
EssayJudge: A Multi-Granular Benchmark for Assessing Automated Essay Scoring Capabilities of Multimodal Large Language Models—0
Essential Sentences for Navigating Stack Overflow Answers—0
Establishment of NLP-Based Greenwashing Pattern Detection Service—0
Estimating Code-Switching on Twitter with a Novel Generalized Word-Level Language Detection Technique—0
Estimating related words computationally using language model from the Mahabharata - an Indian epic—0
Etat de l’art en compression multi-phrases pour la synthèse de documents (State-of-the-art of multi-sentence compression for document summarization)—0
Eval all, trust a few, do wrong to none: Comparing sentence generation models—0
Evaluating and Enhancing the Robustness of Neural Network-based Dependency Parsing Models with Adversarial Examples—0
Evaluating (and Improving) Sentence Alignment under Noisy Conditions—0
Evaluating Compositionality of Sentence Representation Models—0
Evaluating Conjunction Disambiguation on English-to-German and French-to-German WMT 2019 Translation Hypotheses—0
Evaluating Discourse Phenomena in Neural Machine Translation—0
Evaluating Document Coherence Modelling—0
Evaluating Document Simplification: On the Importance of Separately Assessing Simplicity and Meaning Preservation—0
Evaluating Gender Bias in Hindi-English Machine Translation—0
Evaluating Gender Bias in Large Language Models—0
Evaluating Gender Bias in the Translation of Gender-Neutral Languages into English—0
Evaluating Gender Bias Transfer from Film Data—0
Evaluating Input Representation for Language Identification in Hindi-English Code Mixed Text—0
Evaluating Large language models on Understanding Korean indirect Speech acts—0
Evaluating Metrics for Bias in Word Embeddings—0
Evaluating MLLMs with Multimodal Multi-image Reasoning Benchmark—0
Evaluating Models of Computation and Storage in Human Sentence Processing—0
Evaluating Multimodal Representations on Sentence Similarity: vSTS, Visual Semantic Textual Similarity Dataset—0
Evaluating Neural Machine Comprehension Model Robustness to Noisy Inputs and Adversarial Attacks—0
Evaluating Neural Model Robustness for Machine Comprehension—0
Evaluating Neural Word Representations in Tensor-Based Compositional Settings—0
Evaluating Recurrent Neural Network Explanations—0
Evaluating semantic models with word-sentence relatedness—0
Evaluating Semantic Rationality of a Sentence: A Sememe-Word-Matching Neural Network based on HowNet—0
Evaluating Sentence-Level Relevance Feedback for High-Recall Information Retrieval—0
Evaluating Sentence Segmentation in Different Datasets of Neuropsychological Language Tests in Brazilian Portuguese—0
Evaluating Text Coherence at Sentence and Paragraph Levels—0
Evaluating text coherence based on semantic similarity graph—0
Evaluating the Effectiveness of Efficient Neural Architecture Search for Sentence-Pair Tasks—0
Evaluating the Explainability of Neural Rankers—0
Evaluating the Underlying Gender Bias in Contextualized Word Embeddings—0
Evaluating Unsupervised Dimensionality Reduction Methods for Pretrained Sentence Embeddings—0
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