Mona T. Diab

ORCID

Publication Activity (10 Years)

Years Active: 1999-2024
Publications (10 Years): 139

Top Venues

Publications

Wajdi Zaghouani, Mustafa Jarrar, Nizar Habash, Houda Bouamor, Imed Zitouni, Mona T. Diab, Samhaa R. El-Beltagy, Muhammed AbuOdeh
The FIGNEWS Shared Task on News Media Narratives. CoRR (2024)
Jiarui Liu, Wenkai Li, Zhijing Jin, Mona T. Diab
Automatic Generation of Model and Data Cards: A Step Towards Responsible AI. CoRR (2024)
Peter Henderson, Jieru Hu, Mona T. Diab, Joelle Pineau
Rethinking Machine Learning Benchmarks in the Context of Professional Codes of Conduct. CSLAW (2024)
Rana Aref Salama, Abdou Youssef, Mona T. Diab
Semantic Compression for Word and Sentence Embeddings using Discrete Wavelet Transform. ACL (Findings) (2024)
Zhijing Jin, Yuen Chen, Fernando Gonzalez Adauto, Jiarui Liu, Jiayi Zhang, Julian Michael, Bernhard Schölkopf, Mona T. Diab
Analyzing the Role of Semantic Representations in the Era of Large Language Models. NAACL-HLT (2024)
Shabnam Tafreshi, Shubham Vatsal, Mona T. Diab
Emotion Classification in Low and Moderate Resource Languages. CoRR (2024)
Badr AlKhamissi, Muhammad N. ElNokrashy, Mai Alkhamissi, Mona T. Diab
Investigating Cultural Alignment of Large Language Models. ACL (1) (2024)
Badr AlKhamissi, Muhammad N. ElNokrashy, Mai AlKhamissi, Mona T. Diab
Investigating Cultural Alignment of Large Language Models. CoRR (2024)
Zhijing Jin, Jiarui Liu, Zhiheng Lyu, Spencer Poff, Mrinmaya Sachan, Rada Mihalcea, Mona T. Diab, Bernhard Schölkopf
Can Large Language Models Infer Causation from Correlation? ICLR (2024)
Jiarui Liu, Wenkai Li, Zhijing Jin, Mona T. Diab
Automatic Generation of Model and Data Cards: A Step Towards Responsible AI. NAACL-HLT (2024)
Zhijing Jin, Yuen Chen, Fernando Gonzalez, Jiarui Liu, Jiayi Zhang, Julian Michael, Bernhard Schölkopf, Mona T. Diab
Analyzing the Role of Semantic Representations in the Era of Large Language Models. CoRR (2024)
Muhammad N. ElNokrashy, Badr AlKhamissi, Mona T. Diab
Depth-Wise Attention (DWAtt): A Layer Fusion Method for Data-Efficient Classification. LREC/COLING (2024)
Badr AlKhamissi, Siddharth Verma, Ping Yu, Zhijing Jin, Asli Celikyilmaz, Mona T. Diab
OPT-R: Exploring the Role of Explanations in Finetuning and Prompting for Reasoning Skills of Large Language Models. CoRR (2023)
Peter Hase, Mona T. Diab, Asli Celikyilmaz, Xian Li, Zornitsa Kozareva, Veselin Stoyanov, Mohit Bansal, Srinivasan Iyer
Methods for Measuring, Updating, and Visualizing Factual Beliefs in Language Models. EACL (2023)
Zhijing Jin, Jiarui Liu, Zhiheng Lyu, Spencer Poff, Mrinmaya Sachan, Rada Mihalcea, Mona T. Diab, Bernhard Schölkopf
Can Large Language Models Infer Causation from Correlation? CoRR (2023)
Elizabeth Salesky, Kareem Darwish, Mohamed Al-Badrashiny, Mona T. Diab, Jan Niehues
Evaluating Multilingual Speech Translation under Realistic Conditions with Resegmentation and Terminology. IWSLT@ACL (2023)
Muhammad Huzaifa Bashir, Aqil M. Azmi, Haq Nawaz, Wajdi Zaghouani, Mona T. Diab, Ala I. Al-Fuqaha, Junaid Qadir
Arabic natural language processing for Qur'anic research: a systematic review. Artif. Intell. Rev. 56 (7) (2023)
Muhammad Huzaifa Bashir, Aqil M. Azmi, Haq Nawaz, Wajdi Zaghouani, Mona T. Diab, Ala I. Al-Fuqaha, Junaid Qadir
Author Correction: Arabic natural language processing for Qur'anic research: a systematic review. Artif. Intell. Rev. 56 (11) (2023)
Ping Yu, Tianlu Wang, Olga Golovneva, Badr AlKhamissi, Siddharth Verma, Zhijing Jin, Gargi Ghosh, Mona T. Diab, Asli Celikyilmaz
ALERT: Adapt Language Models to Reasoning Tasks. ACL (1) (2023)
Badr AlKhamissi, Faisal Ladhak, Srini Iyer, Ves Stoyanov, Zornitsa Kozareva, Xian Li, Pascale Fung, Lambert Mathias, Asli Celikyilmaz, Mona T. Diab
ToKen: Task Decomposition and Knowledge Infusion for Few-Shot Hate Speech Detection. CoRR (2022)
Alexander R. Fabbri, Xiaojian Wu, Srini Iyer, Haoran Li, Mona T. Diab
AnswerSumm: A Manually-Curated Dataset and Pipeline for Answer Summarization. NAACL-HLT (2022)
Daniel Simig, Tianlu Wang, Verna Dankers, Peter Henderson, Khuyagbaatar Batsuren, Dieuwke Hupkes, Mona T. Diab
Text Characterization Toolkit. CoRR (2022)
Amal AlQahtani, Efsun Sarioglu Kayi, Sardar Hamidian, Michael Compton, Mona T. Diab
A Quantitative and Qualitative Analysis of Schizophrenia Language. CoRR (2022)
Mikel Artetxe, Shruti Bhosale, Naman Goyal, Todor Mihaylov, Myle Ott, Sam Shleifer, Xi Victoria Lin, Jingfei Du, Srinivasan Iyer, Ramakanth Pasunuru, Giridharan Anantharaman, Xian Li, Shuohui Chen, Halil Akin, Mandeep Baines, Louis Martin, Xing Zhou, Punit Singh Koura, Brian O'Horo, Jeffrey Wang, Luke Zettlemoyer, Mona T. Diab, Zornitsa Kozareva, Veselin Stoyanov
Efficient Large Scale Language Modeling with Mixtures of Experts. EMNLP (2022)
Amal AlQahtani, Efsun Sarioglu Kayi, Sardar Hamidian, Michael Compton, Mona T. Diab
A Quantitative and Qualitative Analysis of Schizophrenia Language. LOUHI@EMNLP (2022)
Muhammad N. ElNokrashy, Badr AlKhamissi, Mona T. Diab
Depth-Wise Attention (DWAtt): A Layer Fusion Method for Data-Efficient Classification. CoRR (2022)
Yejin Bang, Tiezheng Yu, Andrea Madotto, Zhaojiang Lin, Mona T. Diab, Pascale Fung
Enabling Classifiers to Make Judgements Explicitly Aligned with Human Values. CoRR (2022)
Badr AlKhamissi, Millicent Li, Asli Celikyilmaz, Mona T. Diab, Marjan Ghazvininejad
A Review on Language Models as Knowledge Bases. CoRR (2022)
Badr AlKhamissi, Mona T. Diab
Meta AI at Arabic Hate Speech 2022: MultiTask Learning with Self-Correction for Hate Speech Classification. CoRR (2022)
Susan Zhang, Stephen Roller, Naman Goyal, Mikel Artetxe, Moya Chen, Shuohui Chen, Christopher Dewan, Mona T. Diab, Xian Li, Xi Victoria Lin, Todor Mihaylov, Myle Ott, Sam Shleifer, Kurt Shuster, Daniel Simig, Punit Singh Koura, Anjali Sridhar, Tianlu Wang, Luke Zettlemoyer
OPT: Open Pre-trained Transformer Language Models. CoRR (2022)
Badr AlKhamissi, Faisal Ladhak, Srinivasan Iyer, Veselin Stoyanov, Zornitsa Kozareva, Xian Li, Pascale Fung, Lambert Mathias, Asli Celikyilmaz, Mona T. Diab
ToKen: Task Decomposition and Knowledge Infusion for Few-Shot Hate Speech Detection. EMNLP (2022)
A. Stevie Bergman, Mona T. Diab
Towards Responsible Natural Language Annotation for the Varieties of Arabic. ACL (Findings) (2022)
Pedram Hosseini, Christopher R. Wolfe, Mona T. Diab, David A. Broniatowski
GisPy: A Tool for Measuring Gist Inference Score in Text. CoRR (2022)
Daniel Licht, Cynthia Gao, Janice Lam, Francisco Guzmán, Mona T. Diab, Philipp Koehn
Consistent Human Evaluation of Machine Translation across Language Pairs. AMTA (2022)
Daniel Licht, Cynthia Gao, Janice Lam, Francisco Guzmán, Mona T. Diab, Philipp Koehn
Consistent Human Evaluation of Machine Translation across Language Pairs. CoRR (2022)
Daniel Simig, Tianlu Wang, Verna Dankers, Peter Henderson, Khuyagbaatar Batsuren, Dieuwke Hupkes, Mona T. Diab
Text Characterization Toolkit (TCT). AACL/IJCNLP (System Demonstrations) (2022)
Shuguang Chen, Gustavo Aguilar, Anirudh Srinivasan, Mona T. Diab, Thamar Solorio
CALCS 2021 Shared Task: Machine Translation for Code-Switched Data. CoRR (2022)
A. Stevie Bergman, Mona T. Diab
Towards Responsible Natural Language Annotation for the Varieties of Arabic. CoRR (2022)
Jennifer Tracey, Owen Rambow, Claire Cardie, Adam Dalton, Hoa Trang Dang, Mona T. Diab, Bonnie J. Dorr, Louise Guthrie, Magdalena Markowska, Smaranda Muresan, Vinodkumar Prabhakaran, Samira Shaikh, Tomek Strzalkowski
BeSt: The Belief and Sentiment Corpus. LREC (2022)
Ping Yu, Tianlu Wang, Olga Golovneva, Badr AlKhamissy, Gargi Ghosh, Mona T. Diab, Asli Celikyilmaz
ALERT: Adapting Language Models to Reasoning Tasks. CoRR (2022)
Nada AlMarwani, Mona T. Diab
Discrete Cosine Transform as Universal Sentence Encoder. CoRR (2021)
Nada AlMarwani, Mona T. Diab
Discrete Cosine Transform as Universal Sentence Encoder. ACL/IJCNLP (2) (2021)
Peter Hase, Mona T. Diab, Asli Celikyilmaz, Xian Li, Zornitsa Kozareva, Veselin Stoyanov, Mohit Bansal, Srinivasan Iyer
Do Language Models Have Beliefs? Methods for Detecting, Updating, and Visualizing Model Beliefs. CoRR (2021)
Parsa Farinneya, Mohammad Mahdi Abdollah Pour, Sardar Hamidian, Mona T. Diab
Active Learning for Rumor Identification on Social Media. EMNLP (Findings) (2021)
Xi Victoria Lin, Todor Mihaylov, Mikel Artetxe, Tianlu Wang, Shuohui Chen, Daniel Simig, Myle Ott, Naman Goyal, Shruti Bhosale, Jingfei Du, Ramakanth Pasunuru, Sam Shleifer, Punit Singh Koura, Vishrav Chaudhary, Brian O'Horo, Jeff Wang, Luke Zettlemoyer, Zornitsa Kozareva, Mona T. Diab, Veselin Stoyanov, Xian Li
Few-shot Learning with Multilingual Language Models. CoRR (2021)
Adithya Renduchintala, Denise Diaz, Kenneth Heafield, Xian Li, Mona T. Diab
Gender Bias Amplification During Speed-Quality Optimization in Neural Machine Translation. CoRR (2021)
Wei-Jen Ko, Ahmed El-Kishky, Adithya Renduchintala, Vishrav Chaudhary, Naman Goyal, Francisco Guzmán, Pascale Fung, Philipp Koehn, Mona T. Diab
Adapting High-resource NMT Models to Translate Low-resource Related Languages without Parallel Data. ACL/IJCNLP (1) (2021)
Alexander R. Fabbri, Xiaojian Wu, Srini Iyer, Mona T. Diab
Multi-Perspective Abstractive Answer Summarization. CoRR (2021)
Wei-Jen Ko, Ahmed El-Kishky, Adithya Renduchintala, Vishrav Chaudhary, Naman Goyal, Francisco Guzmán, Pascale Fung, Philipp Koehn, Mona T. Diab
Adapting High-resource NMT Models to Translate Low-resource Related Languages without Parallel Data. CoRR (2021)
Thamar Solorio, Mahsa Shafaei, Christos Smailis, Mona T. Diab, Theodore Giannakopoulos, Heng Ji, Yang Liu, Rada Mihalcea, Smaranda Muresan, Ioannis A. Kakadiaris
White Paper: Challenges and Considerations for the Creation of a Large Labelled Repository of Online Videos with Questionable Content. CoRR (2021)
Alexander R. Fabbri, Xiaojian Wu, Srini Iyer, Haoran Li, Mona T. Diab
AnswerSumm: A Manually-Curated Dataset and Pipeline for Answer Summarization. CoRR (2021)
Pedram Hosseini, David A. Broniatowski, Mona T. Diab
Predicting Directionality in Causal Relations in Text. CoRR (2021)
Adithya Renduchintala, Denise Diaz, Kenneth Heafield, Xian Li, Mona T. Diab
Gender bias amplification during Speed-Quality optimization in Neural Machine Translation. ACL/IJCNLP (2) (2021)
Pedram Hosseini, David A. Broniatowski, Mona T. Diab
Commonsense Knowledge-Augmented Pretrained Language Models for Causal Reasoning Classification. CoRR (2021)
Mikel Artetxe, Shruti Bhosale, Naman Goyal, Todor Mihaylov, Myle Ott, Sam Shleifer, Xi Victoria Lin, Jingfei Du, Srinivasan Iyer, Ramakanth Pasunuru, Giri Anantharaman, Xian Li, Shuohui Chen, Halil Akin, Mandeep Baines, Louis Martin, Xing Zhou, Punit Singh Koura, Brian O'Horo, Jeff Wang, Luke Zettlemoyer, Mona T. Diab, Zornitsa Kozareva, Ves Stoyanov
Efficient Large Scale Language Modeling with Mixtures of Experts. CoRR (2021)
Christopher Hidey, Tuhin Chakrabarty, Tariq Alhindi, Siddharth Varia, Kriste Krstovski, Mona T. Diab, Smaranda Muresan
DeSePtion: Dual Sequence Prediction and Adversarial Examples for Improved Fact-Checking. CoRR (2020)
Sawsan Alqahtani, Ajay Mishra, Mona T. Diab
A Multitask Learning Approach for Diacritic Restoration. ACL (2020)
Maryam Aminian, Mohammad Sadegh Rasooli, Mona T. Diab
Multitask Learning for Cross-Lingual Transfer of Broad-coverage Semantic Dependencies. EMNLP (1) (2020)
Chunting Zhou, Jiatao Gu, Mona T. Diab, Paco Guzman, Luke Zettlemoyer, Marjan Ghazvininejad
Detecting Hallucinated Content in Conditional Neural Sequence Generation. CoRR (2020)
Maryam Aminian, Mohammad Sadegh Rasooli, Mona T. Diab
Mutlitask Learning for Cross-Lingual Transfer of Semantic Dependencies. CoRR (2020)
Efsun Sarioglu Kayi, Linyong Nan, Bohan Qu, Mona T. Diab, Kathleen R. McKeown
Detecting Urgency Status of Crisis Tweets: A Transfer Learning Approach for Low Resource Languages. COLING (2020)
Yi-An Lai, Xuan Zhu, Yi Zhang, Mona T. Diab
Diversity, Density, and Homogeneity: Quantitative Characteristic Metrics for Text Collections. CoRR (2020)
Sawsan Alqahtani, Ajay Mishra, Mona T. Diab
A Multitask Learning Approach for Diacritic Restoration. CoRR (2020)
Yi-An Lai, Xuan Zhu, Yi Zhang, Mona T. Diab
Diversity, Density, and Homogeneity: Quantitative Characteristic Metrics for Text Collections. LREC (2020)
Jason Krone, Yi Zhang, Mona T. Diab
Learning to Classify Intents and Slot Labels Given a Handful of Examples. CoRR (2020)
Christopher Hidey, Tuhin Chakrabarty, Tariq Alhindi, Siddharth Varia, Kriste Krstovski, Mona T. Diab, Smaranda Muresan
DeSePtion: Dual Sequence Prediction and Adversarial Examples for Improved Fact-Checking. ACL (2020)
Sardar Hamidian, Mona T. Diab
Rumor Detection and Classification for Twitter Data. CoRR (2019)
Hanan Aldarmaki, Mona T. Diab
Context-Aware Cross-Lingual Mapping. NAACL-HLT (1) (2019)
Arshit Gupta, Peng Zhang, Garima Lalwani, Mona T. Diab
CASA-NLU: Context-Aware Self-Attentive Natural Language Understanding for Task-Oriented Chatbots. CoRR (2019)
Hanan Aldarmaki, Mona T. Diab
Context-Aware Cross-Lingual Mapping. CoRR (2019)
Sawsan Alqahtani, Mona T. Diab
Investigating Input and Output Units in Diacritic Restoration. ICMLA (2019)
Or Levi, Pedram Hosseini, Mona T. Diab, David A. Broniatowski
Identifying Nuances in Fake News vs. Satire: Using Semantic and Linguistic Cues. CoRR (2019)
Maryam Aminian, Mohammad Sadegh Rasooli, Mona T. Diab
Cross-Lingual Transfer of Semantic Roles: From Raw Text to Semantic Roles. IWCS (1) (2019)
Nada AlMarwani, Hanan Aldarmaki, Mona T. Diab
Efficient Sentence Embedding using Discrete Cosine Transform. EMNLP/IJCNLP (1) (2019)
Sawsan Alqahtani, Ajay Mishra, Mona T. Diab
Efficient Convolutional Neural Networks for Diacritic Restoration. EMNLP/IJCNLP (1) (2019)
Sawsan Alqahtani, Hanan Aldarmaki, Mona T. Diab
Homograph Disambiguation Through Selective Diacritic Restoration. CoRR (2019)
Mona T. Diab, Mahmoud Ghoneim, Abdelati Hawwari, Fahad AlGhamdi, Nada AlMarwani, Mohamed Al-Badrashiny
Creating a Large Multi-Layered Representational Repository of Linguistic Code Switched Arabic Data. CoRR (2019)
Sawsan Alqahtani, Hanan Aldarmaki, Mona T. Diab
Homograph Disambiguation through Selective Diacritic Restoration. WANLP@ACL 2019 (2019)
Giovanni Molina, Fahad AlGhamdi, Mahmoud Ghoneim, Abdelati Hawwari, Nicolas Rey-Villamizar, Mona T. Diab, Thamar Solorio
Overview for the Second Shared Task on Language Identification in Code-Switched Data. CoRR (2019)
Denis Peskov, Nancy E. Clarke, Jason Krone, Brigi Fodor, Yi Zhang, Adel Youssef, Mona T. Diab
Multi-Domain Goal-Oriented Dialogues (MultiDoGO): Strategies toward Curating and Annotating Large Scale Dialogue Data. EMNLP/IJCNLP (1) (2019)
Hanan Aldarmaki, Mona T. Diab
Scalable Cross-Lingual Transfer of Neural Sentence Embeddings. CoRR (2019)
Shabnam Tafreshi, Mona T. Diab
GWU NLP Lab at SemEval-2019 Task 3: EmoContext: Effective Contextual Information in Models for Emotion Detection in Sentence-level in a Multigenre Corpus. CoRR (2019)
Maryam Aminian, Mohammad Sadegh Rasooli, Mona T. Diab
Cross-Lingual Transfer of Semantic Roles: From Raw Text to Semantic Roles. CoRR (2019)
Arshit Gupta, Peng Zhang, Garima Lalwani, Mona T. Diab
CASA-NLU: Context-Aware Self-Attentive Natural Language Understanding for Task-Oriented Chatbots. EMNLP/IJCNLP (1) (2019)
Nada AlMarwani, Hanan Aldarmaki, Mona T. Diab
Efficient Sentence Embedding using Discrete Cosine Transform. CoRR (2019)
Pedram Hosseini, Mona T. Diab, David A. Broniatowski
Does Causal Coherence Predict Online Spread of Social Media? SBP-BRiMS (2019)
Fahad AlGhamdi, Giovanni Molina, Mona T. Diab, Thamar Solorio, Abdelati Hawwari, Victor Soto, Julia Hirschberg
Part of speech tagging for code switched data. CoRR (2019)
Amal AlQahtani, Efsun Sarioglu Kayi, Mona T. Diab
Understanding Cohesion in Writings and Speech of Schizophrenia Patients. ICMLA (2019)
Sardar Hamidian, Mona T. Diab
GWU NLP at SemEval-2019 Task 7: Hybrid Pipeline for Rumour Veracity and Stance Classification on Social Media. SemEval@NAACL-HLT (2019)
Shabnam Tafreshi, Mona T. Diab
GWU NLP Lab at SemEval-2019 Task 3 : EmoContext: Effectiveness ofContextual Information in Models for Emotion Detection inSentence-level at Multi-genre Corpus. SemEval@NAACL-HLT (2019)
Hanan Aldarmaki, Mona T. Diab
Scalable Cross-Lingual Transfer of Neural Sentence Embeddings. *SEM@NAACL-HLT (2019)
Fahad AlGhamdi, Mona T. Diab
Leveraging Pretrained Word Embeddings for Part-of-Speech Tagging of Code Switching Data. CoRR (2019)
Sawsan Alqahtani, Ajay Mishra, Mona T. Diab
Efficient Convolutional Neural Networks for Diacritic Restoration. CoRR (2019)
Fahad AlGhamdi, Mona T. Diab
WASA: A Web Application for Sequence Annotation. CoRR (2019)
Gustavo Aguilar, Fahad AlGhamdi, Victor Soto, Mona T. Diab, Julia Hirschberg, Thamar Solorio
Named Entity Recognition on Code-Switched Data: Overview of the CALCS 2018 Shared Task. CoRR (2019)
Aditi Chaudhary, Siddharth Dalmia, Junjie Hu, Xinjian Li, Austin Matthews, Aldrian Obaja Muis, Naoki Otani, Shruti Rijhwani, Zaid Sheikh, Nidhi Vyas, Xinyi Wang, Jiateng Xie, Ruochen Xu, Chunting Zhou, Peter J. Jansen, Yiming Yang, Lori S. Levin, Florian Metze, Teruko Mitamura, David R. Mortensen, Graham Neubig, Eduard H. Hovy, Alan W. Black, Jaime G. Carbonell, Graham Horwood, Shabnam Tafreshi, Mona T. Diab, Efsun Sarioglu, Noura Farra, Kathleen R. McKeown
The ARIEL-CMU Systems for LoReHLT18. CoRR (2019)
Hanan Aldarmaki, Mona T. Diab
Evaluation of Unsupervised Compositional Representations. CoRR (2018)
Hanan Aldarmaki, Mahesh Mohan, Mona T. Diab
Unsupervised Word Mapping Using Structural Similarities in Monolingual Embeddings. Trans. Assoc. Comput. Linguistics 6 (2018)
Shabnam Tafreshi, Mona T. Diab
Emotion Detection and Classification in a Multigenre Corpus with Joint Multi-Task Deep Learning. COLING (2018)
Hanan Aldarmaki, Mona T. Diab
Evaluation of Unsupervised Compositional Representations. COLING (2018)

Mona T. Diab.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Mona T. Diab