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TitleStatusHype
Analyzing the Performance of GPT-3.5 and GPT-4 in Grammatical Error Correction0
Automatic sentence classifier using sentence ordering features for Event Based Medicine: Shared task system description0
Automatic Sentence Simplification in Low Resource Settings for Urdu0
Dual Mechanism Priming Effects in Hindi Word Order0
Describe Anything: Detailed Localized Image and Video Captioning0
CU-NLP at SemEval-2016 Task 8: AMR Parsing using LSTM-based Recurrent Neural Networks0
Describing Semantic Representations of Brain Activity Evoked by Visual Stimuli0
Descriptive Image-Text Matching with Graded Contextual Similarity0
An empirical study on the effectiveness of images in Multimodal Neural Machine Translation0
Design and compilation of a specialized Spanish-German parallel corpus0
Design and Development of an Online Computational Framework to Facilitate Language Comprehension Research on Indian Languages0
Design and Evaluation of SentiEcon: a fine-grained Economic/Financial Sentiment Lexicon from a Corpus of Business News0
CUNI Systems in WMT21: Revisiting Backtranslation Techniques for English-Czech NMT0
Design and Implementation of a Virtual 3D Educational Environment to improve Deaf Education0
Design considerations for a hierarchical semantic compositional framework for medical natural language understanding0
Designing and Contextualising Probes for African Languages0
Designing Evaluations of Machine Learning Models for Subjective Inference: The Case of Sentence Toxicity0
Designing French Tale Corpora for Entertaining Text To Speech Synthesis0
Designing Informative Metrics for Few-Shot Example Selection0
Design of a novel Korean learning application for efficient pronunciation correction0
DeSpin: a prototype system for detecting spin in biomedical publications0
DetAIL : A Tool to Automatically Detect and Analyze Drift In Language0
Automating the Compilation of Potential Core-Outcomes for Clinical Trials0
An End-to-End Khmer Optical Character Recognition using Sequence-to-Sequence with Attention0
Augmenting Document-level Relation Extraction with Efficient Multi-Supervision0
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