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TitleStatusHype
Cross-Sentence N-ary Relation Extraction using Lower-Arity Universal Schemas—0
Cross-Sentence N-ary Relation Extraction with Graph LSTMs—0
Cross-sentence Pre-trained Model for Interactive QA matching—0
Cross-Sentence Temporal and Semantic Relations in Video Activity Localisation—0
Cross-Sentence Transformations in Text Simplification—0
Cross-Task Instance Representation Interactions and Label Dependencies for Joint Information Extraction with Graph Convolutional Networks—0
Cross-Task Knowledge Transfer for Query-Based Text Summarization—0
Automatic Construction of Aramaic-Hebrew Translation Lexicon—0
Cross-validating Image Description Datasets and Evaluation Metrics—0
Cross-view Brain Decoding—0
Automatic Concept Discovery from Parallel Text and Visual Corpora—0
Crowdsourced Corpus of Sentence Simplification with Core Vocabulary—0
Crowdsourcing a Multi-lingual Speech Corpus: Recording, Transcription and Annotation of the CrowdIS Corpora—0
Crowd-sourcing annotation of complex NLU tasks: A case study of argumentative content annotation—0
Crowdsourcing for Evaluating Machine Translation Quality—0
Crowdsourcing Parallel Corpus for English-Oromo Neural Machine Translation using Community Engagement Platform—0
Advancing Anomaly Detection: Non-Semantic Financial Data Encoding with LLMs—0
Random crossings in dependency trees—0
CRPO: Confidence-Reward Driven Preference Optimization for Machine Translation—0
Automatic Classification of Tweets Mentioning a Medication Using Pre-trained Sentence Encoders—0
CSDR-BERT: a pre-trained scientific dataset match model for Chinese Scientific Dataset Retrieval—0
CSE: Conceptual Sentence Embeddings based on Attention Model—0
CSECU-DSG at SemEval-2021 Task 1: Fusion of Transformer Models for Lexical Complexity Prediction—0
CSECU-DSG at SemEval-2022 Task 3: Investigating the Taxonomic Relationship Between Two Arguments using Fusion of Multilingual Transformer Models—0
CSECU-DSG at WNUT-2020 Task 2: Exploiting Ensemble of Transfer Learning and Hand-crafted Features for Identification of Informative COVID-19 English Tweets—0
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