Learning better discourse representation for implicit discourse ...

We propose two attention-based neural networks, namely inner attention model and outer attention model, to learn better discourse representation.

Learning better discourse representation for implicit discourse relation recognition via attention networks. Authors: Biao Zhang, Deyi Xiong, Jinsong Su, Min ...

Learning Better Discourse Representation for Implicit Discourse ...

Request PDF | Learning Better Discourse Representation for Implicit Discourse Relation Recognition via Attention Networks | Different words in discourse ...

Deep Enhanced Representation for Implicit Discourse Relation ...

Implicit discourse relation recognition is a challenging task as the relation prediction without explicit connectives in discourse parsing needs ...

Interactively-Propagative Attention Learning for Implicit Discourse ...

We tackle implicit discourse relation recognition. Both self-attention and interactive-attention mechanisms have been applied for attention-aware ...

Enhanced semantic representation learning for implicit discourse ...

The next sentence prediction task in BERT, can significantly improve the performance of implicit discourse relation classification [38].

Improving Implicit Discourse Relation Recognition with Semantics ...

Due to the characteristic of PLM in word representation learning, these two ... BibTeX. Markdown MODS XML Endnote More options… PDF: https ...

Learning Connective-based Word Representations for Implicit ... - Inria

We introduce a simple semi-supervised ap- proach to improve implicit discourse relation identification. This approach harnesses large.

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

Implicit discourse relation classification is one of the most difficult parts in shallow discourse parsing as the relation prediction without explicit ...

Enhanced semantic representation learning for implicit discourse ...

AbstractImplicit discourse relation classification is one of the most challenging tasks in discourse parsing. Without connectives as linguistic clues, ...

Global and Local Hierarchy-aware Contrastive Framework for ... - arXiv

The critical step for IDRR is to learn high-quality discourse relation representations between two arguments. Recent methods tend to ...

Deep Enhanced Representation for Implicit Discourse Relation ...

Different from all the existing work, for the first time to our best knowledge, this work is devoted to an empirical study on different levels ...

[PDF] Learning Connective-based Word Representations for Implicit ...

A simple semi-supervised approach to improve implicit discourse relation identification that represents words in the space of discourse connectives as a way ...

(PDF) Learning Connective-based Word Representations for Implicit ...

... improve implicit discourse. relation identiﬁcation. In Proceedings ... 10(23):146–162. Yangfeng Ji and Jacob Eisenstein. 2014. Representation.

Multi-grain Representation Learning for Implicit Discourse Relation ...

Because larger-grain linguistic units (such as phrase, chunk) are inherently cohesive in semantics, they generally contribute more than words in ...

Towards Selective Data Enhanced Implicit Discourse Relation ...

Towards Selective Data Enhanced Implicit Discourse Relation Recognition via Reinforcement Learning ... representation module and relation recognition module.

Incorporating contextual evidence to improve implicit discourse ...

Finally, we combine original and enhanced argument representations to recognize their relations. In addition, we introduce auxiliary tasks to guide the training ...

[PDF] Memorizing All for Implicit Discourse Relation Recognition

DisSent: Learning Sentence Representations from Explicit Discourse Relations ... Semantic Scholar is a free, AI-powered research tool for scientific literature, ...

19 Implicit Discourse Relation Recognition for English and Chinese ...

Implicit Discourse Relation Recognition with Effective Representation Learning ... (2) What type of First3-Last representation is better? (3) Do we need to ...

Multi-task Attention-based Neural Networks for Implicit Discourse ...

machine learning, we improve multi-task learning framework with representation learning for better discourse relationship representation.