Meta|learning based instance manipulation for implicit discourse ...

Meta-learning based instance manipulation for implicit discourse ...

In this paper, we propose to improve the robustness of IDRR models with two novel meta-learning based instance manipulation networks.

Meta-learning based instance manipulation for implicit discourse ...

AbstractWithout discourse connectives, implicit discourse relations recognition (IDRR) remains a challenging task and has attracted increasing attention.

Meta-learning based instance manipulation for implicit discourse ...

Download Citation | On Mar 1, 2023, Jiali Zeng and others published Meta-learning based instance manipulation for implicit discourse ...

‪Binbin Xie‬ - ‪Google Scholar‬

Meta-learning based instance manipulation for implicit discourse relation recognition. J Zeng, B Xie, C Wu, Y Yin, H Zeng, J Su. Knowledge-Based Systems 267, ...

‪Changxing Wu (邬昌兴)‬ - ‪Google Scholar‬

Meta-learning based instance manipulation for implicit discourse relation recognition. J Zeng, B Xie, C Wu, Y Yin, H Zeng, J Su. Knowledge-Based Systems 267, ...

厦门大学平台管理系统SJS--Home

苏劲松,SJS,厦门大学平台管理系统, Meta-learning based instance manipulation for implicit discourse relation recognition苏劲松,

‪Binbin Xie‬ - ‪Google Scholar‬

Meta-learning based instance manipulation for implicit discourse relation recognition. J Zeng, B Xie, C Wu, Y Yin, H Zeng, J Su. Knowledge-Based Systems 267, ...

Improving Implicit Discourse Relation Recognition with Discourse ...

Meta-learning based instance manipulation for implicit discourse relation recognition. Article. Mar 2023; KNOWL-BASED SYST. Jiali Zeng · Binbin Xie · Changxing ...

Learning better discourse representation for implicit discourse ...

Following this intuition, we propose two attention-based neural networks, namely inner attention model and outer attention model, to learn better discourse ...

Implicit meta-learning may lead language models to trust ... - arXiv

For example, we would judge “The Eiffel Tower is in Rome” to be internalized to a greater extent if, when asked how to get to the Eiffel Tower, the model would.

Next Sentence Prediction helps Implicit Discourse Relation ... - CoLab

Silaa V.A., Masui F., Ptaszynski M. Q1. Springer Nature. International Journal of Machine Learning and Cybernetics , 2024 , citations by CoLab ...

A Meta-Analysis of Procedures to Change Implicit Measures - PMC

For example, manipulations could affect levels of systematic or random ... implicit bias based on age, race, gender, or other factors.” Data and ...

Learning from Implicit Information in Natural Language Instructions ...

When modeling a scene, based on visual sensor data, through object anchoring, noise and uncertainties will inevitably be present. This leads, for example, to a ...

A graph-based approach for implicit discourse relations - CiteSeerX

two learning instances. Tree kernels, or convolution kernels more generally ... As discussed in Section 3, there are multiple approaches to using a graph-based ...

Error-based Implicit Learning in Language: The Effect of Sentence ...

This issue was addressed in an EEG study manipulating the context of a repeated unpredictable word (repetition of the complete sentence or ...

Learning from Implicit Information in Natural Language Instructions ...

Learning from Implicit Information in Natural Language Instructions for Robotic Manipulations ... instance learning to learn from ambiguous examples in an ...

A Survey of Methods for Addressing Class Imbalance in Deep ...

in Deep-Learning Based Natural Language Processing. Sophie Henning1,2 ... Next sentence pre- · diction helps implicit discourse relation ...

arXiv:2405.02243v3 [cs.RO] 24 May 2024

energy-model-based implicit policy learning. 3. A sufficiently complex simulated platform for deformable objects manipulation that could be used ...

Scalable Bayesian Meta-Learning through Generalized Implicit ...

The resultant algorithmic viewpoint however, faces scalability issues when the inner-level optimization relies on gradient-based iterations. Implicit ...

An Implicit–Explicit Framework for Intervention Methods in ...

... learning of an otherwise unlearnable grammar by individuals with language-based learning disability. Journal of Speech, Language, and ...