Bahar Salehi

A multimodal approach to assessing document quality

A Shen, B Salehi, J Qi, T Baldwin

Journal article  |  2020  |  Journal of Artificial Intelligence Research

The perceived quality of a document is affected by various factors, including grammat- icality, readability, stylistics, and exper..

Differences in language use: Insights from job and talent search

B Salehi, B Kazimipour, T Baldwin

Conference Proceedings  |  2019  |  Proceedings of the 24th Australasian Document Computing Symposium on - ADCS '19

© 2019 Association for Computing Machinery. Search platforms can have more than one type of user, e.g., those who provide and thos..

A joint model for multimodal document quality assessment

A Shen, B Salehi, T Baldwin, J Qi

Conference Proceedings  |  2019  |  2019 ACM/IEEE Joint Conference on Digital Libraries (JCDL)

© 2019 IEEE. The quality of a document is affected by various factors, including grammaticality, readability, stylistics, and expe..

How Well Do Embedding Models Capture Non-compositionality? A View from Multiword Expressions

Navnita Nandakumar, Timothy Baldwin, Bahar Salehi

Conference Proceedings  |  2019  |  Proceedings of the 3rd Workshop on Evaluating Vector Space Representations for

In this paper, we apply various embedding methods on multiword expressions to study how well they capture the nuances of non-compo..

Feature-guided Neural Model Training for Supervised Document Representation Learning

Aili Shen, Bahar Salehi, Jianzhong Qi, Timothy Baldwin

Conference Proceedings  |  2019  |  Proceedings of the 17th Workshop of the Australasian Language Technology Association

With the advent of neural models, there has been a rapid move away from feature engineering, or at best, simplistically combining ..

Modelling Uncertainty in Collaborative Document Quality Assessment

Aili Shen, Daniel Beck, Bahar Salehi, Jianzhong Qi, Timothy Baldwin

Conference Proceedings  |  2019  |  Proceedings of the 5th Workshop on Noisy User-generated Text (W-NUT 2019)

In the context of document quality assessment, previous work has mainly focused on predicting the quality of a document relative t..

Multitask learning for query segmentation in job search

B Salehi, F Liu, T Baldwin, W Wong

Conference Proceedings  |  2018  |  Proceedings of the 2018 ACM SIGIR International Conference on Theory of Information Retrieval

A living lab study of query amendment in job search

B Salehi, D Spina, A Moffat, S Sadeghi, F Scholer, T Baldwin, L Cavedon, M Sanderson, W Wong, J Zobel

Conference Proceedings  |  2018  |  The 41st International ACM SIGIR Conference on Research & Development in Information Retrieval

Errors in formulation of queries made by users can lead to poor search results pages. We performed a living lab study using online..

Evaluating hypotheses in geolocation on a very large sample of Twitter

B Salehi, A Søgaard

Conference Proceedings  |  2017  |  Proceedings of the 3rd Workshop on Noisy User-generated Text

Recent work in geolocation has made several hypotheses about what linguistic markers are relevant to detect where people write fro..

Huntsville, hospitals, and hockey teams: Names can reveal your location

B Salehi, D Hovy, E Hovy, A Søgaard

Conference Proceedings  |  2017  |  Proceedings of the 3rd Workshop on Noisy User-generated Text

Geolocation is the task of identifying a social media user’s primary location, and in natural language processing, there is a grow..