In this paper, we explore a multi-task learning scheme to handle the nested mention recognition. Specifically, each attention network as a task recognizes the ...
People also ask
What is an example of multi task learning?
When should multi task learning be used?
In this paper, we propose a dispatched attention neural model with multi-task learning for the task. In particular, given an input sentence, a bi-directional ...
Mar 1, 2020 · Entity mentions usually contain other mention in the task of named entity recognition (NER). Nested entities pose challenge to the task of NER.
Oct 24, 2023 · (2020) proposed a multitask learning approach for nested NER that employs a dispatched attention model. Ouchi et al. (2020) proposed an approach ...
Jul 30, 2022 · Dispatched attention with multi-task learning for nested mention recognition. Information Sciences 513 (2020), 241–251.Google Scholar Google ...
This method is easy to detect nested entities in different subsequences. However, due to the emphasis on learning head and tail representations, the model lacks ...
Missing: Dispatched | Show results with:Dispatched
... multi-task learning for named entity recognition. https://doi.org ... Fei, Dispatched attention with multi-task learning for nested mention recognition, Inf.
Dec 31, 2021 · Neural multi-task learning is a learning paradigm in machine learning ... Dispatched attention with multi-task learning for nested mention ...
Dispatched Attention with Multi-task Learning for Nested Mention Recognition ... mention in the task of named entity recognition (NER). Nested entities pose ...
This paper introduces and compares three techniques for modelling and recognising nested entities by means of a conventional sequence tagger and yields an ...