Deep enhanced representation for implicit discourse relation recognition

H Bai, H Zhao - arXiv preprint arXiv:1807.05154, 2018 - arxiv.org
Implicit discourse relation recognition is a challenging task as the relation prediction without
explicit connectives in discourse parsing needs understanding of text spans and cannot be …

Conll 2016 shared task on multilingual shallow discourse parsing

N Xue, HT Ng, S Pradhan, A Rutherford… - 54th Annual Meeting …, 2016 - research.ed.ac.uk
Abstract The CoNLL-2016 Shared Task is the second edition of the CoNLL-2015 Shared
Task, now on Multilingual Shallow discourse parsing. Similar to the 2015 task, the goal of …

Adversarial connective-exploiting networks for implicit discourse relation classification

L Qin, Z Zhang, H Zhao, Z Hu, EP Xing - arXiv preprint arXiv:1704.00217, 2017 - arxiv.org
Implicit discourse relation classification is of great challenge due to the lack of connectives
as strong linguistic cues, which motivates the use of annotated implicit connectives to …

Facilitating contrastive learning of discourse relational senses by exploiting the hierarchy of sense relations

W Long, B Webber - arXiv preprint arXiv:2301.02724, 2023 - arxiv.org
Implicit discourse relation recognition is a challenging task that involves identifying the
sense or senses that hold between two adjacent spans of text, in the absence of an explicit …

[PDF][PDF] A stacking gated neural architecture for implicit discourse relation classification

L Qin, Z Zhang, H Zhao - Proceedings of the 2016 Conference on …, 2016 - aclanthology.org
Discourse parsing is considered as one of the most challenging natural language
processing (NLP) tasks. Implicit discourse relation classification is the bottleneck for …

Global and local hierarchy-aware contrastive framework for implicit discourse relation recognition

Y Jiang, L Zhang, W Wang - arXiv preprint arXiv:2211.13873, 2022 - arxiv.org
Due to the absence of explicit connectives, implicit discourse relation recognition (IDRR)
remains a challenging task in discourse analysis. The critical step for IDRR is to learn high …

Implicit discourse relation recognition using neural tensor network with interactive attention and sparse learning

F Guo, R He, D Jin, J Dang, L Wang… - Proceedings of the 27th …, 2018 - aclanthology.org
Implicit discourse relation recognition aims to understand and annotate the latent relations
between two discourse arguments, such as temporal, comparison, etc. Most previous …

A systematic study of neural discourse models for implicit discourse relation

A Rutherford, V Demberg, N Xue - … of the 15th Conference of the …, 2017 - aclanthology.org
Inferring implicit discourse relations in natural language text is the most difficult subtask in
discourse parsing. Many neural network models have been proposed to tackle this problem …

Transs-driven joint learning architecture for implicit discourse relation recognition

R He, J Wang, F Guo, Y Han - … of the 58th Annual Meeting of the …, 2020 - aclanthology.org
Implicit discourse relation recognition is a challenging task due to the lack of connectives as
strong linguistic clues. Previous methods primarily encode two arguments separately or …

Working memory-driven neural networks with a novel knowledge enhancement paradigm for implicit discourse relation recognition

F Guo, R He, J Dang, J Wang - Proceedings of the AAAI Conference on …, 2020 - aaai.org
Recognizing implicit discourse relation is a challenging task in discourse analysis, which
aims to understand and infer the latent relations between two discourse arguments, such as …