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ORCIDDiana Inkpen
Diana Zaiu Inkpen
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- affiliation: University of Ottawa, School of Electrical Engineering and Computer Science, Canada
- affiliation: University of Toronto, Department of Computer Science, Canada
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2020 – today
- 2024
[i15]Xuanyu Su, Yansong Li, Diana Inkpen, Nathalie Japkowicz:
HateSieve: A Contrastive Learning Framework for Detecting and Segmenting Hateful Content in Multimodal Memes. CoRR abs/2408.05794 (2024)- 2023
- [j35]Prasadith Buddhitha, Diana Inkpen:
Multi-task learning to detect suicide ideation and mental disorders among social media users. Frontiers Res. Metrics Anal. 8 (2023) - [j34]Ebrahim Bagheri, Diana Inkpen, Christopher C. Yang, Fattane Zarrinkalam:
Report on the 8th International Workshop on Mining Actionable Insights from Social Networks (MAISoN'22) - Special Edition on Mental Health and Social Media at TheWebConf 2022. SIGIR Forum 57(1): 5:1-5:6 (2023) - [c135]Yuxi Wang, Diana Inkpen:
uOttawa at eRisk 2023: Search for Symptoms of Depression. CLEF (Working Notes) 2023: 805-812 - [c134]Zainab Albujasim
, Diana Inkpen, Xuejun Han, Yuhong Guo:
Improving Word Embedding Using Variational Dropout. FLAIRS 2023 - [c133]Doaa Ibrahim, Diana Inkpen, Hussein Al Osman:
Cannabis Use Estimators Within Canadian Population Using Social Media Based on Deep Learning Tools. ICAISC (2) 2023: 331-342 - [c132]Intisar Almuslim, Sean Stilwell, Surya Kiran Suresh, Diana Inkpen:
uOttawa at SemEval-2023 Task 6: Deep Learning for Legal Text Understanding. SemEval@ACL 2023: 580-588 - 2022
- [j33]Ruba Skaik, Diana Inkpen:
Predicting Depression in Canada by Automatic Filling of Beck's Depression Inventory Questionnaire. IEEE Access 10: 102033-102047 (2022) - [j32]Falah Hassan Al-akashi, Diana Inkpen:
A New Adaptive Indexing for Real-Time Web Search. Int. J. Intell. Inf. Technol. 18(1): 1-19 (2022) - [j31]Falah Hassan Al-akashi, Diana Inkpen:
A Scalable Real-Time Agent-Based Information Retrieval Engine. Int. J. Softw. Innov. 10(1): 1-14 (2022) - [c131]Xiang Li, Jiaxun Gao, Diana Inkpen, Wolfgang Alschner:
Detecting Relevant Differences Between Similar Legal Texts. NLLP@EMNLP 2022: 256-264 - [c130]Yuan Wu, Diana Inkpen, Ahmed El-Roby:
Co-Regularized Adversarial Learning for Multi-Domain Text Classification. AISTATS 2022: 6690-6701 - [c129]Shahriar Shayesteh, Diana Inkpen:
Generative Adversarial learning with Negative Data Augmentation for Semi-supervised Text Classification. FLAIRS 2022 - [c128]Doaa Ibrahim, Diana Inkpen, Hussein Al Osman:
Identifying Cannabis Use Risk Through Social Media Based on Deep Learning Methods. ICAISC (2) 2022: 102-113 - [c127]Yuan Wu, Diana Inkpen, Ahmed El-Roby:
Maximum Batch Frobenius Norm for Multi-Domain Text Classification. ICASSP 2022: 3763-3767 - [c126]Andrew Dunn, Diana Inkpen, Razvan Andonie:
Evaluation of Deep Learning Context-Sensitive Visualization Models. IV 2022: 359-365 - [c125]Ebrahim Bagheri, Diana Inkpen, Christopher C. Yang, Fattane Zarrinkalam:
MAISoN'22: 8th International Workshop on Mining Actionable Insights from Social Networks Special Edition on Mental Health and Social Media. WWW (Companion Volume) 2022: 660-662 - [i14]Yuan Wu, Diana Inkpen, Ahmed El-Roby:
Co-Regularized Adversarial Learning for Multi-Domain Text Classification. CoRR abs/2201.12796 (2022) - [i13]Yuan Wu, Diana Inkpen, Ahmed El-Roby:
Maximum Batch Frobenius Norm for Multi-Domain Text Classification. CoRR abs/2202.00537 (2022) - 2021
- [j30]Ruba Skaik, Diana Inkpen:
Using Social Media for Mental Health Surveillance: A Review. ACM Comput. Surv. 53(6): 129:1-129:31 (2021) - [c124]Dwarak Govind Parthiban, Yongyi Mao, Diana Inkpen:
On the Softmax Bottleneck of Recurrent Language Models. AAAI 2021: 13640-13647 - [c123]Yingjie Li, Tiberiu Sosea, Aditya Sawant, Ajith Jayaraman Nair, Diana Inkpen, Cornelia Caragea:
P-Stance: A Large Dataset for Stance Detection in Political Domain. ACL/IJCNLP (Findings) 2021: 2355-2365 - [c122]Diana Inkpen, Ruba Skaik, Prasadith Buddhitha, Dimo Angelov, Maxwell Thomas Fredenburgh:
uOttawa at eRisk 2021: Automatic Filling of the Beck's Depression Inventory Questionnaire using Deep Learning. CLEF (Working Notes) 2021: 966-980 - [c121]Yuan Wu, Diana Inkpen, Ahmed El-Roby:
Mixup Regularized Adversarial Networks for Multi-Domain Text Classification. ICASSP 2021: 7733-7737 - [c120]Yuan Wu, Diana Inkpen, Ahmed El-Roby:
Towards Category and Domain Alignment: Category-Invariant Feature Enhancement for Adversarial Domain Adaptation. ICCVW 2021: 132-141 - [c119]Ebrahim Bagheri, Diana Inkpen, Christopher C. Yang, Fattane Zarrinkalam:
The 6th InternationalWorkshop on Mining Actionable Insights from Social Networks (MAISoN 2021): Special Edition on Healthcare Social Analytics. ICWSM Workshops 2021 - [c118]Andrew Dunn, Diana Inkpen, Razvan Andonie:
Context-Sensitive Visualization of Deep Learning Natural Language Processing Models. IV 2021: 170-175 - [c117]Diana Lucaci, Diana Inkpen:
Towards Unifying the Explainability Evaluation Methods for NLP. NLPCC (2) 2021: 303-314 - [i12]Yuan Wu, Diana Inkpen, Ahmed El-Roby:
Mixup Regularized Adversarial Networks for Multi-Domain Text Classification. CoRR abs/2102.00467 (2021) - [i11]Yuan Wu, Diana Inkpen, Ahmed El-Roby:
Conditional Adversarial Networks for Multi-Domain Text Classification. CoRR abs/2102.10176 (2021) - [i10]Andrew Dunn, Diana Inkpen, Razvan Andonie:
Context-Sensitive Visualization of Deep Learning Natural Language Processing Models. CoRR abs/2105.12202 (2021) - [i9]Yuan Wu, Diana Inkpen, Ahmed El-Roby:
Towards Category and Domain Alignment: Category-Invariant Feature Enhancement for Adversarial Domain Adaptation. CoRR abs/2108.06583 (2021) - 2020
- [b4]Anna Atefeh Farzindar, Diana Inkpen:
Natural Language Processing for Social Media, Third Edition. Synthesis Lectures on Human Language Technologies, Morgan & Claypool Publishers 2020, ISBN 978-3-031-01047-7 - [j29]David Van Bruwaene, Qianjia Huang, Diana Inkpen:
A multi-platform dataset for detecting cyberbullying in social media. Lang. Resour. Evaluation 54(4): 851-874 (2020) - [c116]Weizhao Xin, Diana Inkpen:
Detecting Disclosure and Support via Deep Multi-Task Learning. AffCon@AAAI 2020: 140-147 - [c115]Nabil Belacel, Cheng Duan, Diana Inkpen:
The K-Closest Resemblance Classifier for Remote Sensing Data. Canadian AI 2020: 49-54 - [c114]Ruba Skaik, Diana Inkpen:
Using Twitter Social Media for Depression Detection in the Canadian Population. AICCC 2020: 109-114 - [c113]Chris Tanasescu, Diana Inkpen, Jean Vanderdonckt, Nicolas Burny, Vaibhav Kesarwani:
Multilayer Network Applications in Poetry. Centralities & Automated Corpus Expansion in Computationally Assembled Anthologies. DH 2020 - [c112]Yuan Wu, Diana Inkpen, Ahmed El-Roby:
Dual Mixup Regularized Learning for Adversarial Domain Adaptation. ECCV (29) 2020: 540-555 - [c111]Intisar Almuslim, Diana Inkpen:
Document Level Embeddings for Identifying Similar Legal Cases and Laws. FIRE (Working Notes) 2020: 42-48 - [i8]Yuan Wu, Diana Inkpen, Ahmed El-Roby:
Dual Mixup Regularized Learning for Adversarial Domain Adaptation. CoRR abs/2007.03141 (2020)
2010 – 2019
- 2019
- [j28]Parinaz Sobhani, Diana Inkpen, Xiaodan Zhu:
Exploring deep neural networks for multitarget stance detection. Comput. Intell. 35(1): 82-97 (2019) - [j27]Hanqing Zhou, Amal Zouaq, Diana Inkpen:
A Comparison of Word Embeddings and N-gram Models for DBpedia Type and Invalid Entity Detection. Inf. 10(1): 6 (2019) - [c110]Weizhao Xin, Diana Inkpen:
Happiness Ingredients Detection using Multi-Task Deep Learning. AffCon@AAAI 2019: 164-170 - [c109]Prasadith Kirinde Gamaarachchige, Diana Inkpen:
Multi-Task, Multi-Channel, Multi-Input Learning for Mental Illness Detection using Social Media Text. LOUHI@EMNLP 2019: 54-64 - [c108]Arya Rahgozar, Diana Inkpen:
Semantics and Homothetic Clustering of Hafez Poetry. LaTeCH@NAACL-HLT 2019: 82-90 - [c107]Haifa Alharthi, Diana Inkpen:
Study of linguistic features incorporated in a literary book recommender system. SAC 2019: 1027-1034 - 2018
- [j26]Diana Inkpen:
EDITORIAL. Comput. Intell. 34(3): 788 (2018) - [j25]Farah Benamara, Diana Inkpen, Maite Taboada:
Introduction to the Special Issue on Language in Social Media: Exploiting Discourse and Other Contextual Information. Comput. Linguistics 44(4) (2018) - [j24]Diana Inkpen, Mathieu Roche, Maguelonne Teisseire:
Guest editorial: special issue on Environmental and Geospatial Data Analytics. Int. J. Data Sci. Anal. 5(2-3): 81-82 (2018) - [j23]Haifa Alharthi, Diana Inkpen, Stan Szpakowicz:
A survey of book recommender systems. J. Intell. Inf. Syst. 51(1): 139-160 (2018) - [c106]Qian Chen, Xiaodan Zhu, Zhen-Hua Ling, Diana Inkpen, Si Wei:
Neural Natural Language Inference Models Enhanced with External Knowledge. ACL (1) 2018: 2406-2417 - [c105]Ahmed Husseini Orabi, Prasadith Buddhitha, Mahmoud Husseini Orabi, Diana Inkpen:
Deep Learning for Depression Detection of Twitter Users. CLPsych@NAACL-HTL 2018: 88-97 - [c104]Saman Daneshvar, Diana Inkpen:
Gender Identification in Twitter using N-grams and LSA: Notebook for PAN at CLEF 2018. CLEF (Working Notes) 2018 - [c103]Qianjia Huang, Diana Inkpen, Jianhong Zhang, David Van Bruwaene:
Cyberbullying Intervention Based on Convolutional Neural Networks. TRAC@COLING 2018 2018: 42-51 - [c102]Ahmed Husseini Orabi, Mahmoud Husseini Orabi, Qianjia Huang, Diana Inkpen, David Van Bruwaene:
Cyber-aggression Detection using Cross Segment-and-Concatenate Multi-Task Learning from Text. TRAC@COLING 2018 2018: 159-165 - [c101]Haifa Alharthi, Diana Inkpen, Stan Szpakowicz:
Authorship Identification for Literary Book Recommendations. COLING 2018: 390-400 - [c100]Maguelonne Teisseire, Mathieu Roche, Diana Inkpen:
Environmental and Geo-Spatial Data Analytics (EnGeoData'2018). DSAA 2018: 575-576 - [c99]Chris Tanasescu, Vaibhav Kesarwani, Diana Inkpen:
Metaphor Detection by Deep Learning and the Place of Poetic Metaphor in Digital Humanities. FLAIRS 2018: 122-127 - [c98]Ahmed Husseini Orabi, Mahmoud Husseini Orabi, Diana Inkpen, David Van Bruwaene:
uOttawa at SemEval-2018 Task 1: Self-Attentive Hybrid GRU-Based Network. SemEval@NAACL-HLT 2018: 181-185 - 2017
- [b3]Atefeh Farzindar, Diana Inkpen:
Natural Language Processing for Social Media, Second Edition. Synthesis Lectures on Human Language Technologies, Morgan & Claypool Publishers 2017, ISBN 978-3-031-02167-1 - [j22]Diana Inkpen, Ji Liu, Atefeh Farzindar, Farzaneh Kazemi, Diman Ghazi:
Location detection and disambiguation from twitter messages. J. Intell. Inf. Syst. 49(2): 237-253 (2017) - [c97]Qian Chen, Xiaodan Zhu, Zhen-Hua Ling, Si Wei, Hui Jiang, Diana Inkpen:
Enhanced LSTM for Natural Language Inference. ACL (1) 2017: 1657-1668 - [c96]Zunaira Jamil, Diana Inkpen, Prasadith Buddhitha, Kenton White:
Monitoring Tweets for Depression to Detect At-risk Users. CLPsych@ACL 2017: 32-40 - [c95]Romualdo Alves Pereira Junior, Diana Inkpen:
Using Cognitive Computing to Get Insights on Personality Traits from Twitter Messages. Canadian AI 2017: 278-283 - [c94]Alex Plachkov, Voicu Groza, Diana Inkpen, Emil M. Petriu, Rami S. Abielmona, Moufid Harb, Rafael Falcon:
Soft-data-driven resource management for concurrent maritime security operations. CogSIMA 2017: 1-7 - [c93]Chris Tanasescu, Diana Inkpen, Vaibhav Kesarwani, Brian Paget:
Access(ed) Poetry. The Graph Poem Project and the Place of Poetry in Digital Humanities. DH 2017 - [c92]Parinaz Sobhani, Diana Inkpen, Xiaodan Zhu:
A Dataset for Multi-Target Stance Detection. EACL (2) 2017: 551-557 - [c91]Hanqing Zhou, Amal Zouaq, Diana Inkpen:
DBpedia Entity Type Detection Using Entity Embeddings and N-Gram Models. KESW 2017: 309-322 - [c90]Vaibhav Kesarwani, Diana Inkpen, Stan Szpakowicz, Chris Tanasescu:
Metaphor Detection in a Poetry Corpus. LaTeCH@ACL 2017: 1-9 - [c89]Qian Chen, Xiaodan Zhu, Zhen-Hua Ling, Si Wei, Hui Jiang, Diana Inkpen:
Recurrent Neural Network-Based Sentence Encoder with Gated Attention for Natural Language Inference. RepEval@EMNLP 2017: 36-40 - [c88]Haifa Alharthi, Diana Inkpen, Stan Szpakowicz:
Unsupervised Topic Modelling in a Book Recommender System for New Users. eCOM@SIGIR 2017 - [i7]Qian Chen, Xiaodan Zhu, Zhen-Hua Ling, Si Wei, Hui Jiang, Diana Inkpen:
Recurrent Neural Network-Based Sentence Encoder with Gated Attention for Natural Language Inference. CoRR abs/1708.01353 (2017) - [i6]Qian Chen, Xiaodan Zhu, Zhen-Hua Ling, Diana Inkpen, Si Wei:
Natural Language Inference with External Knowledge. CoRR abs/1711.04289 (2017) - 2016
- [j21]Mohamed Mouine, Diana Inkpen, Pierre-Olivier Charlebois, Tri Ho:
Identifying Multiple Topics in Texts. Int. J. Comput. Linguistics Appl. 7(2): 29-44 (2016) - [j20]Diana Inkpen, T. Sima Paribakht, Farahnaz Faez, Ehsan Amjadian:
Term Evaluator: A Tool for Terminology Annotation and Evaluation. Int. J. Comput. Linguistics Appl. 7(2): 145-165 (2016) - [c87]Arya Rahgozar, Diana Inkpen:
Poetry Chronological Classification: Hafez. Canadian AI 2016: 131-136 - [c86]Arya Rahgozar, Diana Inkpen:
Bilingual Chronological Classification of Hafez's Poems. CLfL@NAACL-HLT 2016: 54-62 - [c85]Chris Tanasescu, Bryan Paget, Diana Inkpen:
Automatic Classification of Poetry by Meter and Rhyme. FLAIRS 2016: 244-249 - [c84]Alex Plachkov, Rami S. Abielmona, Moufid Harb, Rafael Falcon, Diana Inkpen, Voicu Groza, Emil M. Petriu:
Automatic Course of Action Generation using Soft Data for Maritime Domain Awareness. GECCO (Companion) 2016: 1071-1078 - [c83]Prasadith Buddhitha, Diana Inkpen:
Topic-Based Sentiment Analysis. SIMBig (Revised Selected Papers) 2016: 95-107 - [p2]Diana Inkpen:
Text Mining in Social Media for Security Threats. Recent Advances in Computational Intelligence in Defense and Security 2016: 491-517 - 2015
- [b2]Atefeh Farzindar, Diana Inkpen:
Natural Language Processing for Social Media. Synthesis Lectures on Human Language Technologies, Morgan & Claypool Publishers 2015, ISBN 978-3-031-02157-2 - [c82]Diman Ghazi, Diana Inkpen, Stan Szpakowicz:
Detecting Emotion Stimuli in Emotion-Bearing Sentences. CICLing (2) 2015: 152-165 - [c81]Dave Carter, Diana Inkpen:
Inferring Aspect-Specific Opinion Structure in Product Reviews Using Co-training. CICLing (2) 2015: 225-240 - [c80]Haifa Alharthi, Diana Inkpen:
Content-Based Recommender System Enriched with Wordnet Synsets. CICLing (2) 2015: 295-308 - [c79]Diana Inkpen, Ji Liu, Atefeh Farzindar, Farzaneh Kazemi, Diman Ghazi:
Detecting and Disambiguating Locations Mentioned in Twitter Messages. CICLing (2) 2015: 321-332 - [c78]Andres Lou, Diana Inkpen, Chris Tanasescu:
Multilabel Subject-Based Classification of Poetry. FLAIRS 2015: 187-192 - [c77]Parinaz Sobhani, Diana Inkpen, Stan Matwin:
From Argumentation Mining to Stance Classification. ArgMining@HLT-NAACL 2015: 67-77 - [c76]Ji Liu, Diana Inkpen:
Estimating User Location in Social Media with Stacked Denoising Auto-encoders. VS@HLT-NAACL 2015: 201-210 - [c75]Diana Inkpen:
Detecting Locations from Twitter Messages. SIMBig 2015: 15-16 - [c74]Prasadith Buddhitha, Diana Inkpen:
Dependency-based Topic-Oriented Sentiment Analysis in Microposts. SIMBig 2015: 25-34 - [c73]Chiraag Sumanth, Diana Inkpen:
How much does word sense disambiguation help in sentiment analysis of micropost data? WASSA@EMNLP 2015: 115-121 - 2014
- [j19]Diman Ghazi, Diana Inkpen, Stan Szpakowicz:
Prior and contextual emotion of words in sentential context. Comput. Speech Lang. 28(1): 76-92 (2014) - [j18]Diana Inkpen, Amir Hossein Razavi:
Topic Classification using Latent Dirichlet Allocation at Multiple Levels. Int. J. Comput. Linguistics Appl. 5(1): 43-55 (2014) - [c72]Amir Hossein Razavi, Diana Inkpen:
Text Representation Using Multi-level Latent Dirichlet Allocation. Canadian AI 2014: 215-226 - [c71]Josh Weissbock, Diana Inkpen:
Combining Textual Pre-game Reports and Statistical Data for Predicting Success in the National Hockey League. Canadian AI 2014: 251-262 - [c70]Amir Hossein Razavi, Diana Inkpen, Rafael Falcon, Rami S. Abielmona:
Textual risk mining for maritime situational awareness. CogSIMA 2014: 167-173 - [c69]Falah Hassan Al-akashi, Diana Inkpen:
Term Impact-Based Web Page Ranking. WIMS 2014: 6:1-6:10 - 2013
- [j17]Doina Tatar, Diana Inkpen, Gabriela Czibula:
Text Segmentation Using Roget-Based Weighted Lexical Chains. Comput. Informatics 32(2): 393-410 (2013) - [j16]Diana Inkpen, Carlo Strapparava:
Computational Approaches to the Analysis of Emotion in Text. Comput. Intell. 29(3): 389 (2013) - [j15]Fazel Keshtkar, Diana Inkpen:
A Bootstrapping Method for Extracting Paraphrases of Emotion Expressions from Texts. Comput. Intell. 29(3): 417-435 (2013) - [c68]Amir Hossein Razavi, Diana Inkpen, Dmitry Brusilovsky, Lana Bogouslavski:
General Topic Annotation in Social Networks: A Latent Dirichlet Allocation Approach. Canadian AI 2013: 293-300 - [c67]Josh Weissbock, Ahmed A. A. Esmin, Diana Inkpen:
Using External Information for Classifying Tweets. BRACIS 2013: 1-5 - [c66]Namrata Patel, Pierre Accorsi, Diana Inkpen, Cédric Lopez, Mathieu Roche:
Approaches of Anonymisation of an SMS Corpus. CICLing (1) 2013: 77-88 - [c65]Tanveer Ali, David Schramm, Marina Sokolova, Diana Inkpen:
Can I Hear You? Sentiment Analysis on Medical Forums. IJCNLP 2013: 667-673 - [c64]Joshua Weissbock, Herna L. Viktor, Diana Inkpen:
Use of Performance Metrics to Forecast Success in the National Hockey League. MLSA@PKDD/ECML 2013: 39-48 - [c63]Tanveer Ali, Marina Sokolova, David Schramm, Diana Inkpen:
Opinion Learning from Medical Forums. RANLP 2013: 18-24 - [c62]Hamid Poursepanj, Josh Weissbock, Diana Inkpen:
uOttawa: System description for SemEval 2013 Task 2 Sentiment Analysis in Twitter. SemEval@NAACL-HLT 2013: 380-383 - 2012
- [j14]Fazel Keshtkar, Diana Inkpen:
A hierarchical approach to mood classification in blogs. Nat. Lang. Eng. 18(1): 61-81 (2012) - [c61]Dave Carter, Diana Inkpen:
Searching for Poor Quality Machine Translated Text: Learning the Difference between Human Writing and Machine Translations. Canadian AI 2012: 49-60 - [c60]Alistair Kennedy, Anna Kazantseva, Diana Inkpen, Stan Szpakowicz:
Getting Emotional about News Summarization. Canadian AI 2012: 121-132 - [c59]Chris Fournier, Diana Inkpen:
Segmentation Similarity and Agreement. HLT-NAACL 2012: 152-161 - [c58]Martin Scaiano, Diana Inkpen:
Getting More from Segmentation Evaluation. HLT-NAACL 2012: 362-366 - [c57]Falah Hassan Al-akashi, Diana Inkpen:
Query-Structure Based Web Page Indexing. TREC 2012 - [c56]Diman Ghazi, Diana Inkpen, Stan Szpakowicz:
Prior versus Contextual Emotion of a Word in a Sentence. WASSA@ACL 2012: 70-78 - [c55]Falah Hassan Al-akashi, Diana Inkpen:
Intelligent web page retrieval using Wikipedia knowledge. WIMS 2012: 51:1-51:7 - [e1]Leila Kosseim, Diana Inkpen:
Advances in Artificial Intelligence - 25th Canadian Conference on Artificial Intelligence, Canadian AI 2012, Toronto, ON, Canada, May 28-30, 2012. Proceedings. Lecture Notes in Computer Science 7310, Springer 2012, ISBN 978-3-642-30352-4 [contents] - [i5]Chris Fournier, Diana Inkpen:
Segmentation Similarity and Agreement. CoRR abs/1204.2847 (2012) - 2011
- [j13]Oana Frunza, Diana Inkpen, Stan Matwin, William Klement, Peter O'Blenis:
Exploiting the systematic review protocol for classification of medical abstracts. Artif. Intell. Medicine 51(1): 17-25 (2011) - [j12]