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Found 6 papers, 5 papers with code
Seq2seq is All You Need for Coreference Resolution
Existing works on coreference resolution suggest that task-specific models are necessary to achieve state-of-the-art performance.
Improving Multitask Retrieval by Promoting Task Specialization
In multitask retrieval, a single retriever is trained to retrieve relevant contexts for multiple tasks.
EntQA: Entity Linking as Question Answering
A conventional approach to entity linking is to first find mentions in a given document and then infer their underlying entities in the knowledge base.
Ranked #4 on
Entity Linking
on AIDA-CoNLL
Understanding Hard Negatives in Noise Contrastive Estimation
The choice of negative examples is important in noise contrastive estimation.
Hiring Now: A Skill-Aware Multi-Attention Model for Job Posting Generation
To deal with this task, we devise a data-driven global Skill-Aware Multi-Attention generation model, named SAMA.
Synchronous Double-channel Recurrent Network for Aspect-Opinion Pair Extraction
The opinion entity extraction unit and the relation detection unit are developed as two channels to extract opinion entities and relations simultaneously.
