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Employing Text Matching Network to Recognise Nuclearity in Chinese Discourse

Authors: nan

Publication: TIPSTER (2018)

DOI: nan

AbstractThe task of nuclearity recognition in Chinese discourse remains challenging due to the demand for more deep semantic information. In this paper, we propose a novel text matching network (TMN) …...

5473

Detecting Causal Language Use in Science Findings

Authors: nan

Publication: TIPSTER (2019)

DOI: nan

AbstractCausal interpretation of correlational findings from observational studies has been a major type of misinformation in science communication. Prior studies on identifying inappropriate use of causal language relied on manual …...

9046

Hierarchical Transfer Learning for Multi-label Text Classification

Authors: nan

Publication: TIPSTER (2019)

DOI: nan

AbstractMulti-Label Hierarchical Text Classification (MLHTC) is the task of categorizing documents into one or more topics organized in an hierarchical taxonomy. MLHTC can be formulated by combining multiple binary classification …...

37041

Complaint Identification in Social Media with Transformer Networks

Authors: nan

Publication: TIPSTER (2020)

DOI: nan

AbstractComplaining is a speech act extensively used by humans to communicate a negative inconsistency between reality and expectations. Previous work on automatically identifying complaints in social media has focused on …...

4207

Home Appliance Review Research Via Adversarial Reptile

Authors: nan

Publication: TIPSTER (2021)

DOI: nan

AbstractFor manufacturers of home appliances, the Studying discussion of products on social media can help manufacturers improve their products. Opinions provided through online reviews can immediately reflect whether the product …...

1056

Incorporating Domain Knowledge into Language Transformers for Multi-Label Classification of Chinese Medical Questions

Authors: nan

Publication: TIPSTER (2021)

DOI: nan

AbstractIn this paper, we propose a knowledge infusion mechanism to incorporate domain knowledge into language transformers. Weakly supervised data is regarded as the main source for knowledge acquisition. We pre-train …...

1047

A Contrastive Cross-Channel Data Augmentation Framework for Aspect-Based Sentiment Analysis

Authors: nan

Publication: TIPSTER (2022)

DOI: nan

AbstractAspect-based sentiment analysis (ABSA) is a fine-grained sentiment analysis task, which focuses on detecting the sentiment polarity towards the aspect in a sentence. However, it is always sensitive to the …...

4644

Enhancing Chinese Multi-Label Text Classification Performance with Response-based Knowledge Distillation

Authors: nan

Publication: TIPSTER (2022)

DOI: nan

AbstractIt’s difficult to optimize individual label performance of multi-label text classification, especially in those imbalanced data containing long-tailed labels. Therefore, this study proposes a response-based knowledge distillation mechanism comprising a …...

1031

Exploring Label Hierarchy in a Generative Way for Hierarchical Text Classification

Authors: nan

Publication: TIPSTER (2022)

DOI: nan

AbstractHierarchical Text Classification (HTC), which aims to predict text labels organized in hierarchical space, is a significant task lacking in investigation in natural language processing. Existing methods usually encode the …...

5126

Generating Temporally-ordered Event Sequences via Event Optimal Transport

Authors: nan

Publication: TIPSTER (2022)

DOI: nan

AbstractGenerating temporally-ordered event sequences in texts is important to natural language processing. Two emerging tasks in this direction are temporal event ordering (rearranging the set of events to correct order) …...

5056

HHS at SemEval-2023 Task 10: A Comparative Analysis of Sexism Detection Based on the RoBERTa Model

Authors: nan

Publication: TIPSTER (2023)

DOI: nan

AbstractThis paper describes the methods and models applied by our team HHS in SubTask-A of SemEval-2023 Task 10 about sexism detection. In this task, we trained with the officially released …...

24843

TeamUnibo at SemEval-2023 Task 6: A transformer based approach to Rhetorical Roles prediction and NER in Legal Texts

Authors: nan

Publication: TIPSTER (2023)

DOI: nan

AbstractThis study aims to tackle some challenges posed by legal texts in the field of NLP. The LegalEval challenge proposes three tasks, based on Indial Legal documents: Rhetorical Roles Prediction, …...

24931