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Task Enlightenment Prompt Learning for Implicit Discourse Relation ...


Task Enlightenment Prompt Learning for Implicit Discourse Relation ...

Instead of multi-prompt ensembling, we propose to design auxiliary tasks with enlightened prompt learning for the IDRR task. Although an ...

Task Enlightenment Prompt Learning for Implicit Discourse Relation ...

We propose a task enlightenment prompt learning model, called TEPrompt, to fuse learned features from three related tasks for IDRR.

[PDF] TEPrompt: Task Enlightenment Prompt Learning for Implicit ...

TEPrompt: Task Enlightenment Prompt Learning for Implicit Discourse Relation Recognition · Figures and Tables · Topics · 4 Citations · 36 References · Related Papers ...

TEPrompt: Task Enlightenment Prompt Learning for Implicit ... - Zendy

Implicit Discourse Relation Recognition (IDRR) aims at classifying therelation sense between two arguments without an explicit connective.

TEPrompt: Task Enlightenment Prompt Learning for Implicit ...

Implicit discourse relation recognition (IDRR) aims at recognizing the discourse relation between two text segments without an explicit connective.

Task Enlightenment Prompt Learning for Implicit Discourse Relation ...

TEPrompt: Task Enlightenment Prompt Learning for Implicit Discourse Relation Recognition · No full-text available · Citations (4) · References (28) · Recommended ...

TEPrompt: Task Enlightenment Prompt Learning for Implicit ...

External Links · Cite Key · Statistics · PDF · Researchr · TEPrompt: Task Enlightenment Prompt Learning for Implicit Discourse Relation Recognition.

Wei Xiang | Papers With Code

ConnPrompt: Connective-cloze Prompt Learning for Implicit Discourse Relation Recognition · Encoding and Fusing Semantic Connection and Linguistic Evidence for ...

Multi-Label Classification for Implicit Discourse Relation Recognition

In light of such motivations, we propose a task enlightenment prompt learning model, called TEPrompt, to fuse learned features from three related tasks for IDRR ...

Learning to Differentiate Pairwise-Argument Representations for ...

Recognizing implicit discourse relations between texts is challenging due to the absence of explicit connectives.

NCPrompt: NSP-Based Prompt Learning and Contrastive Learning ...

Wei Xiang, Chao Liang, and Bang Wang. 2023. 747. Teprompt: Task enlightenment prompt learning for. 748 implicit discourse relation ...

Interactively-Propagative Attention Learning for Implicit Discourse ...

Request PDF | On Jan 1, 2020, Huibin Ruan and others published Interactively-Propagative Attention Learning for Implicit Discourse Relation Recognition ...

On the Importance of Word and Sentence Representation Learning ...

TEPrompt: Task Enlightenment Prompt Learning for Implicit Discourse Relation Recognition · Wei XiangChao LiangBang Wang. Computer Science. ACL. 2023. TLDR. This ...

Task Enlightenment Prompt Learning for Implicit Discourse Relation ...

Implicit Discourse Relation Recognition (IDRR) aims at classifying the relation sense between two arguments without an explicit connective.

Wei Xiang - Google Scholar

TEPrompt: Task enlightenment prompt learning for implicit discourse relation recognition. W Xiang, C Liang, B Wang. arXiv preprint arXiv:2305.10866, 2023. 6 ...

Wei Xiang 0005 - DBLP

TEPrompt: Task Enlightenment Prompt Learning for Implicit Discourse Relation Recognition. ... TEPrompt: Task Enlightenment Prompt Learning for Implicit Discourse ...

Papers - Prompt Engineering Guide

TEPrompt: Task Enlightenment Prompt Learning for Implicit Discourse Relation Recognition (opens in a new tab) (May 2023); Large Language Models can be Guided ...

Bias-Rectified Multi-way Learning with Data Augmentation for ...

Implicit Discourse Relation Recognition (IDRR) is a challenging but vital task in discourse analysis that focuses on identifying and ...

Findings - ACL 2023

... Task-aware Retrieval with Instructions Akari Asai, Timo Schick, Patrick ... Learning Kartikeya Badola, Shachi Dave and Partha Talukdar. Towards Accurate ...

Implicit Discourse Relation Classification via Multi-Task Neural ...

With this idea, we propose to adopt the multi-task learning method and design a specific discourse analysis task for each corpus. According to the principle of ...