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Found 8 papers, 1 papers with code
Learning Cross-lingual Representations for Event Coreference Resolution with Multi-view Alignment and Optimal Transport
We study a new problem of cross-lingual transfer learning for event coreference resolution (ECR) where models trained on data from a source language are adapted for evaluations in different target languages.
Hierarchical Graph Convolutional Networks for Jointly Resolving Cross-document Coreference of Entity and Event Mentions
Prior work has demonstrated the benefits of the predicate-argument information and document context for resolving the coreference of event mentions.
Stable Code Technical Report
Stable Code Instruct also exhibits state-of-the-art performance on the MT-Bench coding tasks and on Multi-PL completion compared to other instruction tuned models.
Stable LM 2 1.6B Technical Report
We introduce StableLM 2 1. 6B, the first in a new generation of our language model series.
A Data-centric Framework for Improving Domain-specific Machine Reading Comprehension Datasets
We applied the proposed framework to four biomedical datasets and showed relative improvement of up to 33%/40% for fine-tuning of retrieval/reader models on the BioASQ dataset when using back translation to enhance the original dataset quality.
Exploiting Document Structures and Cluster Consistencies for Event Coreference Resolution
In addition, consistency constraints between golden and predicted clusters of event mentions have not been considered to improve representation learning in prior deep learning models for ECR.
Structural and Functional Decomposition for Personality Image Captioning in a Communication Game
Personality image captioning (PIC) aims to describe an image with a natural language caption given a personality trait.
