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TitleStatusHype
A Comprehensive Survey of Document-level Relation Extraction (2016-2023)0
Low-resource Neural Machine Translation: Benchmarking State-of-the-art Transformer for Wolof<->French0
An Effective Label Noise Model for DNN Text Classification0
Low-Resource Neural Machine Translation for Southern African Languages0
An Effective Diverse Decoding Scheme for Robust Synonymous Sentence Translation0
Low Resource Sequence Tagging using Sentence Reconstruction0
An Effective Contextual Language Modeling Framework for Speech Summarization with Augmented Features0
An Editorial Network for Enhanced Document Summarization0
LSDSem 2017 Shared Task: The Story Cloze Test0
Ancient Korean Archive Translation: Comparison Analysis on Statistical phrase alignment, LLM in-context learning, and inter-methodological approach0
LSTM-based Deep Neural Network With A Focus on Sentence Representation for Sequential Sentence Classification in Medical Scientific Abstracts0
LS-Tree: Model Interpretation When the Data Are Linguistic0
LSX_team5 at SemEval-2022 Task 8: Multilingual News Article Similarity Assessment based on Word- and Sentence Mover’s Distance0
Sentence-Level Propaganda Detection in News Articles with Transfer Learning and BERT-BiLSTM-Capsule Model0
An Automatic Tool For Language Evaluation0
LU-BZU at SemEval-2021 Task 2: Word2Vec and Lemma2Vec performance in Arabic Word-in-Context disambiguation0
Sentence-level quality estimation by predicting HTER as a multi-component metric0
An Automatic Machine Translation Evaluation Metric Based on Dependency Parsing Model0
LZ1904 at SemEval-2021 Task 5: Bi-LSTM-CRF for Toxic Span Detection using Pretrained Word Embedding0
Sentence-Level Quality Estimation for MT System Combination0
Sentence Level Recurrent Topic Model: Letting Topics Speak for Themselves0
M3: Multimodal Memory Modelling for Video Captioning0
M3ST: Mix at Three Levels for Speech Translation0
Sentence-Level Relation Extraction via Contrastive Learning with Descriptive Relation Prompts0
Sentence Level Representation And Language Models In The Task Of Coreference Resolution For Russian0
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