Author

Bahar Salehi

Observed names: Salehi Bahar, Salehi, Bahar

Institution: The University of Melbourne

Observed institutions: University of Copenhagen, The University of Melbourne, Shiraz University, Data61, Carnegie Mellon University

ORCID: 0000-0002-1279-1263

Observed ORCID: 0000-0002-1279-1263

OpenAlex ID: A5019218714

A Word Embedding Approach to Predicting the Compositionality of Multiword Expressions

2015 · Bahar Salehi, Paul Cook, et al. · Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT) · 102

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

2014 · Bahar Salehi, Paul Cook, et al. · Conference of the European Chapter of the Association for Computational Linguistics · 64

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Predicting the Compositionality of Multiword Expressions Using Translations in Multiple Languages

2013 · Bahar Salehi, Paul Cook · Joint Conference on Lexical and Computational Semantics · 39

A Joint Model for Multimodal Document Quality Assessment

2019 · Aili Shen, Bahar Salehi, et al. · ACM/IEEE Joint Conference on Digital Libraries · 24

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

2019 · Navnita Nandakumar, Timothy Baldwin, et al. · 23

Evaluating Document Coherence Modeling

2021 · Aili Shen, Meladel Mistica, et al. · Transactions of the Association for Computational Linguistics · 18

Detecting Non-compositional MWE Components using Wiktionary

2014 · Bahar Salehi, Paul Cook, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP) · 16

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

2016 · Timothy Baldwin, Huizhi Liang, et al. · International Workshop on Semantic Evaluation (SemEval) · 13

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The Impact of Multiword Expression Compositionality on Machine Translation Evaluation

2015 · Bahar Salehi, Nitika Mathur, et al. · Workshop on Multiword Expressions (MWE) · 13

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A General Approach to Multimodal Document Quality Assessment

2020 · Aili Shen, Bahar Salehi, et al. · Journal of Artificial Intelligence Research · 12

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

2017 · Bahar Salehi, Dirk Hovy, et al. · Workshop on Noisy User-generated Text (W-NUT) · 12

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

2012 · Borhan Kazimipour, Bahar Salehi, et al. · CSI International Symposium on Artificial Intelligence and Signal Processing · 8

Multitask Learning for Query Segmentation in Job Search

2018 · Bahar Salehi, Fei Liu, et al. · ACM SIGIR International Conference on Theory of Information Retrieval (ICTIR) · 7

Determining the Multiword Expression Inventory of a Surprise Language

2016 · Bahar Salehi, Paul Cook, et al. · International Conference on Computational Linguistics · 7

Automatic Identification of Persian Light Verb Constructions

2012 · Bahar Salehi, Narjes Askarian, et al. · Lecture notes in computer science · 7

Modelling Uncertainty in Collaborative Document Quality Assessment

2019 · Aili Shen, Daniel Beck, et al. · Workshop on Noisy User-generated Text (W-NUT) · 6

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A Comparative Study of Embedding Models in Predicting the Compositionality of Multiword Expressions

2018 · Navnita Nandakumar, Bahar Salehi, et al. · 6

A Living Lab Study of Query Amendment in Job Search

2018 · Bahar Salehi, Damiano Spina, et al. · International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) · 6

Feature-guided Neural Model Training for Supervised Document Representation Learning

2019 · Aili Shen, Bahar Salehi, et al. · 4

Automatic Identification of Expressions of Locations in Tweet Messages using Conditional Random Fields

2014 · Fei Liu, Afshin Rahimi, et al. · 4

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

2013 · Yvette Graham, Bahar Salehi, et al. · 3

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

2013 · Spandana Gella, Bahar Salehi, et al. · Joint Conference on Lexical and Computational Semantics · 3

Evaluating hypotheses in geolocation on a very large sample of Twitter

2017 · Bahar Salehi, Anders Søgaard · Workshop on Noisy User-generated Text (W-NUT) · 2

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Evaluating Document Coherence Modelling

2021 · Shen, Aili, Mistica, Meladel, et al. · arXiv (Cornell University) · 1

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Differences in language use

2019 · Bahar Salehi, Borhan Kazimipour, et al. · Australasian Document Computing Symposium · 1

Works count: 30

Citation count: 402

H-index: 11

I10-index: 11