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Automatic Error Type Annotation for Arabic ...
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Navigating the Kaleidoscope of COVID-19 Misinformation Using Deep Learning ...
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HittER: Hierarchical Transformers for Knowledge Graph Embeddings ...
Abstract: Anthology paper link: https://aclanthology.org/2021.emnlp-main.812/ Abstract: This paper examines the challenging problem of learning representations of entities and relations in a complex multi-relational knowledge graph. We propose HittER, a Hierarchical Transformer model to jointly learn Entity-relation composition and Relational contextualization based on a source entity's neighborhood. Our proposed model consists of two different Transformer blocks: the bottom block extracts features of each entity-relation pair in the local neighborhood of the source entity and the top block aggregates the relational information from outputs of the bottom block. We further design a masked entity prediction task to balance information from the relational context and the source entity itself. Experimental results show that HittER achieves new state-of-the-art results on multiple link prediction datasets. We additionally propose a simple approach to integrate HittER into BERT and demonstrate its effectiveness on two ...
Keyword: Computational Linguistics; Information Extraction; Language Models; Machine Learning; Machine Learning and Data Mining; Natural Language Processing
URL: https://dx.doi.org/10.48448/y853-5214
https://underline.io/lecture/37925-hitter-hierarchical-transformers-for-knowledge-graph-embeddings
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Detecting Gender Bias using Explainability ...
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HETFORMER: Heterogeneous Transformer with Sparse Attention for Long-Text Extractive Summarization ...
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Not All Negatives are Equal: Label-Aware Contrastive Loss for Fine-grained Text Classification ...
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7
Contrastive Code Representation Learning ...
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Unsupervised Multi-View Post-OCR Error Correction With Language Models ...
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AttentionRank: Unsupervised Keyphrase Extraction using Self and Cross Attentions ...
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10
Automatic Fact-Checking with Document-level Annotations using BERT and Multiple Instance Learning ...
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11
Towards the Early Detection of Child Predators in Chat Rooms: A BERT-based Approach ...
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12
Semantic Categorization of Social Knowledge for Commonsense Question Answering ...
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13
Pre-train or Annotate? Domain Adaptation with a Constrained Budget ...
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14
Stepmothers are mean and academics are pretentious: What do pretrained language models learn about you? ...
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CLIFF: Contrastive Learning for Improving Faithfulness and Factuality in Abstractive Summarization ...
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Automatic Text Evaluation through the Lens of Wasserstein Barycenters ...
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Combining sentence and table evidence to predict veracity of factual claims using TaPaS and RoBERTa ...
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18
Meta Distant Transfer Learning for Pre-trained Language Models ...
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19
How to Train BERT with an Academic Budget ...
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20
Temporal Adaptation of BERT and Performance on Downstream Document Classification: Insights from Social Media ...
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