Bahar Salehi

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

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 - ICTIR '18

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 - SIGIR '18

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..

Determining the Multiword Expression Inventory of a Surprise Language

B Salehi, P Cook, T Baldwin

Conference Proceedings  |  2016  |  COLING 2016 - 26th International Conference on Computational Linguistics, Proceedings of COLING 2016: Technical Papers

UniMelb at SemEval-2016 Task 3: Identifying Similar Questions by combining a CNN with String Similarity Measures

D Hoogeveen, Y Li, H Liang, B Salehi, L Duong, T Baldwin

Conference Proceedings  |  2016  |  SemEval 2016 - 10th International Workshop on Semantic Evaluation, Proceedings

A Word Embedding Approach to Predicting the Compositionality of Multiword Expressions

B Salehi, P Cook, T BALDWIN

Conference Proceedings  |  2015  |  NAACL HLT 2015 - 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the Conference

The Impact of Multiword Expression Compositionality on Machine Translation Evaluation

B Salehi, N Mathur, P Cook, T BALDWIN

Conference Proceedings  |  2015

Using Distributional Similarity of Multi-way Translations to Predict Multiword Expression Compositionality

B SALEHI, P Cook, TJ Baldwin

Conference Proceedings  |  2014  |  Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics

Detecting Non-compositional MWE Components using Wiktionary

B Salehi, P Cook, T BALDWIN

Conference Proceedings  |  2014  |  EMNLP 2014 - 2014 Conference on Empirical Methods in Natural Language Processing, Proceedings of the Conference

Umelb: Cross-lingual Textual Entailment with Word Alignment and String Similarity Features

Y Graham, B SALEHI, TJ Baldwin

Conference Proceedings  |  2013  |  Proceedings of the Seventh InternationalWorkshop on Semantic Evaluation (SemEval 2013)

Predicting the Compositionality of Multiword Expressions Using Translations in Multiple Languages

B SALEHI, P Cook

Conference Proceedings  |  2013  |  Proceedings of the Main Conference and the Shared Task: Semantic Textual Similarity

UniMelb_NLP-CORE: Integrating predictions from multiple domains and feature sets for estimating semantic textual similarity

S GELLA, B SALEHI, M LUI, K GRIESER, P Cook, TJ Baldwin

Conference Proceedings  |  2013  |  Proceedings of the Main Conference and the Shared Task: Semantic Textual Similarity

A novel genetic-based instance selection method: Using a divide and conquer approach

B Kazimipour, B Salehi, MZ Jahromi

Conference Proceedings  |  2012  |  The 16th CSI International Symposium on Artificial Intelligence and Signal Processing (AISP 2012)

Automatic identification of Persian light verb constructions

B Salehi, N Askarian, A Fazly

Conference Proceedings  |  2012  |  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Extracting non-compositional verb particle constructions using a bilingual corpus

B Salehi, A Fazly, MZ Jahromi

Conference Proceedings  |  2011  |  Signal and Image Processing and Applications / 716: Artificial Intelligence and Soft Computing