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Hits 1 – 11 of 11

1
Automatic Error Type Annotation for Arabic ...
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2
HittER: Hierarchical Transformers for Knowledge Graph Embeddings ...
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3
AttentionRank: Unsupervised Keyphrase Extraction using Self and Cross Attentions ...
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4
TEET! Tunisian Dataset for Toxic Speech Detection ...
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5
Low-resource Taxonomy Enrichment with Pretrained Language Models ...
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6
Robust Retrieval Augmented Generation for Zero-shot Slot Filling ...
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7
Speaker-Oriented Latent Structures for Dialogue-Based Relation Extraction ...
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8
Incorporating medical knowledge in BERT for clinical relation extraction ...
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ECONET: Effective Continual Pretraining of Language Models for Event Temporal Reasoning ...
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10
#WhyDidTheyStay: An NLP-driven approach to analyzing the factors that affect domestic violence victims ...
Abstract: This paper uses domain-specific data extracted from publicly available data on social media platforms, Reddit and Twitter, to analyze the psychosocioeconomic factors that affect domestic violence survivors and provide insight into the factors that contribute to their reluctance to leave abusive relationships. We propose a methodology that employs unsupervised machine learning algorithms and natural language processing to extract abstract topics from a large corpus of unstructured text. Further, we provide a few recommendations for policymakers based on the nature of the impact on domestic violence survivors from our analysis. ...
Keyword: Computational Linguistics; Information Extraction; Language Models; Machine Learning; Machine Learning and Data Mining; Natural Language Processing; Neural Network
URL: https://underline.io/lecture/39672-hashwhydidtheystay-an-nlp-driven-approach-to-analyzing-the-factors-that-affect-domestic-violence-victims
https://dx.doi.org/10.48448/5q66-d243
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A Data Bootstrapping Recipe for Low-Resource Multilingual Relation Classification ...
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