Search Results for author: Aili Shen

Found 12 papers, 3 papers with code

Evaluating Hierarchical Document Categorisation

no code implementations ALTA 2021 Qian Sun, Aili Shen, Hiyori Yoshikawa, Chunpeng Ma, Daniel Beck, Tomoya Iwakura, Timothy Baldwin

Hierarchical document categorisation is a special case of multi-label document categorisation, where there is a taxonomic hierarchy among the labels.

A Simple yet Effective Method for Sentence Ordering

no code implementations SIGDIAL (ACL) 2021 Aili Shen, Timothy Baldwin

Sentence ordering is the task of arranging a given bag of sentences so as to maximise the coherence of the overall text.

Sentence Sentence Ordering

Contrastive Learning for Fair Representations

no code implementations22 Sep 2021 Aili Shen, Xudong Han, Trevor Cohn, Timothy Baldwin, Lea Frermann

Trained classification models can unintentionally lead to biased representations and predictions, which can reinforce societal preconceptions and stereotypes.

Attribute Contrastive Learning

On the (In)Effectiveness of Images for Text Classification

no code implementations EACL 2021 Chunpeng Ma, Aili Shen, Hiyori Yoshikawa, Tomoya Iwakura, Daniel Beck, Timothy Baldwin

Images are core components of multi-modal learning in natural language processing (NLP), and results have varied substantially as to whether images improve NLP tasks or not.

text-classification Text Classification

Evaluating Document Coherence Modelling

no code implementations18 Mar 2021 Aili Shen, Meladel Mistica, Bahar Salehi, Hang Li, Timothy Baldwin, Jianzhong Qi

While pretrained language models ("LM") have driven impressive gains over morpho-syntactic and semantic tasks, their ability to model discourse and pragmatic phenomena is less clear.

Intrusion Detection Sentence

Modelling Uncertainty in Collaborative Document Quality Assessment

no code implementations WS 2019 Aili Shen, Daniel Beck, Bahar Salehi, Jianzhong Qi, Timothy Baldwin

In the context of document quality assessment, previous work has mainly focused on predicting the quality of a document relative to a putative gold standard, without paying attention to the subjectivity of this task.

Decision Making Gaussian Processes

A Joint Model for Multimodal Document Quality Assessment

no code implementations4 Jan 2019 Aili Shen, Bahar Salehi, Timothy Baldwin, Jianzhong Qi

The quality of a document is affected by various factors, including grammaticality, readability, stylistics, and expertise depth, making the task of document quality assessment a complex one.

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