default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDMona T. Diab
Mona Talat Diab
Person information
- affiliation: George Washington University, Department of Computer Science, Washington, DC, USA
- affiliation (former): Columbia University, New York City, NY, USA
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
[c166]Badr AlKhamissi, Muhammad N. ElNokrashy, Mai Alkhamissi, Mona T. Diab:
Investigating Cultural Alignment of Large Language Models. ACL (1) 2024: 12404-12422- [c165]Rana Aref Salama, Abdou Youssef, Mona T. Diab:
Semantic Compression for Word and Sentence Embeddings using Discrete Wavelet Transform. ACL (Findings) 2024: 15963-15977 - [c164]Muhammad N. ElNokrashy, Badr AlKhamissi, Mona T. Diab:
Depth-Wise Attention (DWAtt): A Layer Fusion Method for Data-Efficient Classification. LREC/COLING 2024: 4665-4674 - [c163]Peter Henderson
, Jieru Hu, Mona T. Diab, Joelle Pineau:
Rethinking Machine Learning Benchmarks in the Context of Professional Codes of Conduct. CSLAW 2024: 109-120 - [c162]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 - [c161]Jiarui Liu, Wenkai Li, Zhijing Jin, Mona T. Diab:
Automatic Generation of Model and Data Cards: A Step Towards Responsible AI. NAACL-HLT 2024: 1975-1997 - [c160]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: 3781-3798 - [i66]Badr AlKhamissi, Muhammad N. ElNokrashy, Mai Alkhamissi, Mona T. Diab:
Investigating Cultural Alignment of Large Language Models. CoRR abs/2402.13231 (2024) - [i65]Shabnam Tafreshi, Shubham Vatsal, Mona T. Diab:
Emotion Classification in Low and Moderate Resource Languages. CoRR abs/2402.18424 (2024) - [i64]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 abs/2405.01502 (2024) - [i63]Jiarui Liu, Wenkai Li, Zhijing Jin, Mona T. Diab:
Automatic Generation of Model and Data Cards: A Step Towards Responsible AI. CoRR abs/2405.06258 (2024) - [i62]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 abs/2407.18147 (2024) - 2023
- [j10]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): 6801-6854 (2023) - [j9]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): 13951-13952 (2023) - [c159]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: 1055-1081 - [c158]Amal AlQahtani, Rana Aref Salama, Mona Talat Diab, Abdou Youssef:
Care4Lang at MEDIQA-Chat 2023: Fine-tuning Language Models for Classifying and Summarizing Clinical Dialogues. ClinicalNLP@ACL 2023: 524-528 - [c157]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: 2706-2723 - [c156]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: 62-78 - [i61]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 abs/2305.12001 (2023) - [i60]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 abs/2306.05836 (2023) - 2022
- [c155]A. Stevie Bergman, Mona T. Diab:
Towards Responsible Natural Language Annotation for the Varieties of Arabic. ACL (Findings) 2022: 364-371 - [c154]Amal AlQahtani, Efsun Sarioglu Kayi, Sardar Hamidian, Michael Compton, Mona T. Diab:
A Quantitative and Qualitative Analysis of Schizophrenia Language. LOUHI@EMNLP 2022: 173-183 - [c153]Daniel Licht, Cynthia Gao, Janice Lam, Francisco Guzmán, Mona T. Diab, Philipp Koehn:
Consistent Human Evaluation of Machine Translation across Language Pairs. AMTA 2022: 309-321 - [c152]Badr AlKhamissi, Faisal Ladhak, Srini 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: 2109-2120 - [c151]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 Generative Language Models. EMNLP 2022: 9019-9052 - [c150]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: 11699-11732 - [c149]Daniel Simig, Tianlu Wang, Verna Dankers, Peter Henderson, Khuyagbaatar Batsuren, Dieuwke Hupkes, Mona T. Diab:
Text Characterization Toolkit (TCT). AACL/IJCNLP (System Demonstrations) 2022: 72-87 - [c148]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: 2460-2467 - [c147]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: 2508-2520 - [i59]Amal AlQahtani, Efsun Sarioglu Kayi, Sardar Hamidian, Michael Compton, Mona T. Diab:
A Quantitative and Qualitative Analysis of Schizophrenia Language. CoRR abs/2201.10430 (2022) - [i58]Shuguang Chen, Gustavo Aguilar, Anirudh Srinivasan, Mona T. Diab, Thamar Solorio:
CALCS 2021 Shared Task: Machine Translation for Code-Switched Data. CoRR abs/2202.09625 (2022) - [i57]A. Stevie Bergman, Mona T. Diab:
Towards Responsible Natural Language Annotation for the Varieties of Arabic. CoRR abs/2203.09597 (2022) - [i56]Badr AlKhamissi, Millicent Li, Asli Celikyilmaz, Mona T. Diab, Marjan Ghazvininejad:
A Review on Language Models as Knowledge Bases. CoRR abs/2204.06031 (2022) - [i55]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 abs/2205.01068 (2022) - [i54]Badr AlKhamissi, Mona T. Diab:
Meta AI at Arabic Hate Speech 2022: MultiTask Learning with Self-Correction for Hate Speech Classification. CoRR abs/2205.07960 (2022) - [i53]Daniel Licht, Cynthia Gao, Janice Lam, Francisco Guzmán, Mona T. Diab, Philipp Koehn:
Consistent Human Evaluation of Machine Translation across Language Pairs. CoRR abs/2205.08533 (2022) - [i52]Pedram Hosseini, Christopher R. Wolfe, Mona T. Diab, David A. Broniatowski:
GisPy: A Tool for Measuring Gist Inference Score in Text. CoRR abs/2205.12484 (2022) - [i51]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 abs/2205.12495 (2022) - [i50]Muhammad N. ElNokrashy, Badr AlKhamissi, Mona T. Diab:
Depth-Wise Attention (DWAtt): A Layer Fusion Method for Data-Efficient Classification. CoRR abs/2209.15168 (2022) - [i49]Daniel Simig, Tianlu Wang, Verna Dankers, Peter Henderson, Khuyagbaatar Batsuren, Dieuwke Hupkes, Mona T. Diab:
Text Characterization Toolkit. CoRR abs/2210.01734 (2022) - [i48]Yejin Bang, Tiezheng Yu, Andrea Madotto, Zhaojiang Lin, Mona T. Diab, Pascale Fung:
Enabling Classifiers to Make Judgements Explicitly Aligned with Human Values. CoRR abs/2210.07652 (2022) - [i47]Ping Yu, Tianlu Wang, Olga Golovneva, Badr AlKhamissy, Gargi Ghosh, Mona T. Diab, Asli Celikyilmaz:
ALERT: Adapting Language Models to Reasoning Tasks. CoRR abs/2212.08286 (2022) - 2021
- [c146]Adithya Renduchintala, Denise Díaz, Kenneth Heafield, Xian Li, Mona T. Diab:
Gender bias amplification during Speed-Quality optimization in Neural Machine Translation. ACL/IJCNLP (2) 2021: 99-109 - [c145]Nada AlMarwani, Mona T. Diab:
Discrete Cosine Transform as Universal Sentence Encoder. ACL/IJCNLP (2) 2021: 419-426 - [c144]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: 802-812 - [c143]Chunting Zhou, Graham Neubig, Jiatao Gu, Mona T. Diab, Francisco Guzmán, Luke Zettlemoyer, Marjan Ghazvininejad:
Detecting Hallucinated Content in Conditional Neural Sequence Generation. ACL/IJCNLP (Findings) 2021: 1393-1404 - [c142]Parsa Farinneya, Mohammad Mahdi Abdollah Pour, Sardar Hamidian, Mona T. Diab:
Active Learning for Rumor Identification on Social Media. EMNLP (Findings) 2021: 4556-4565 - [e11]Thamar Solorio, Shuguang Chen, Alan W. Black, Mona T. Diab, Sunayana Sitaram, Victor Soto, Emre Yilmaz, Anirudh Srinivasan:
Proceedings of the Fifth Workshop on Computational Approaches to Linguistic Code-Switching, CALCS@NAACL 2021, Online, June 11, 2021. Association for Computational Linguistics 2021, ISBN 978-1-954085-45-9 [contents] - [i46]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 abs/2101.10894 (2021) - [i45]Pedram Hosseini, David A. Broniatowski, Mona T. Diab:
Predicting Directionality in Causal Relations in Text. CoRR abs/2103.13606 (2021) - [i44]Alexander R. Fabbri, Xiaojian Wu, Srini Iyer, Mona T. Diab:
Multi-Perspective Abstractive Answer Summarization. CoRR abs/2104.08536 (2021) - [i43]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 abs/2105.15071 (2021) - [i42]Adithya Renduchintala, Denise Díaz, Kenneth Heafield, Xian Li, Mona T. Diab:
Gender Bias Amplification During Speed-Quality Optimization in Neural Machine Translation. CoRR abs/2106.00169 (2021) - [i41]Nada AlMarwani, Mona T. Diab:
Discrete Cosine Transform as Universal Sentence Encoder. CoRR abs/2106.00934 (2021) - [i40]Alexander R. Fabbri, Xiaojian Wu, Srini Iyer, Haoran Li, Mona T. Diab:
AnswerSumm: A Manually-Curated Dataset and Pipeline for Answer Summarization. CoRR abs/2111.06474 (2021) - [i39]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 abs/2111.13654 (2021) - [i38]Pedram Hosseini, David A. Broniatowski, Mona T. Diab:
Commonsense Knowledge-Augmented Pretrained Language Models for Causal Reasoning Classification. CoRR abs/2112.08615 (2021) - [i37]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 abs/2112.10668 (2021) - [i36]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 abs/2112.10684 (2021) - 2020
- [c141]Esin Durmus, He He, Mona T. Diab:
FEQA: A Question Answering Evaluation Framework for Faithfulness Assessment in Abstractive Summarization. ACL 2020: 5055-5070 - [c140]Sawsan Alqahtani, Ajay Mishra, Mona T. Diab:
A Multitask Learning Approach for Diacritic Restoration. ACL 2020: 8238-8247 - [c139]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: 8593-8606 - [c138]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: 4693-4703 - [c137]Maryam Aminian, Mohammad Sadegh Rasooli, Mona T. Diab:
Multitask Learning for Cross-Lingual Transfer of Broad-coverage Semantic Dependencies. EMNLP (1) 2020: 8268-8274 - [c136]Mona T. Diab:
Data Paucity and Low Resource Scenarios: Challenges and Opportunities. KDD 2020: 3612 - [c135]Yi-An Lai, Xuan Zhu, Yi Zhang, Mona T. Diab:
Diversity, Density, and Homogeneity: Quantitative Characteristic Metrics for Text Collections. LREC 2020: 1739-1746 - [c134]Mona T. Diab:
Information propagation in an era of Infodemics: The role of language content. SNAMS 2020: 1 - [e10]Thamar Solorio, Monojit Choudhury, Kalika Bali, Sunayana Sitaram, Amitava Das, Mona T. Diab:
Proceedings of the The 4th Workshop on Computational Approaches to Code Switching, CodeSwitch@LREC 2020, Marseille, France, May, 2020. European Language Resources Association 2020, ISBN 979-10-95546-66-5 [contents] - [i35]Yi-An Lai, Xuan Zhu, Yi Zhang, Mona T. Diab:
Diversity, Density, and Homogeneity: Quantitative Characteristic Metrics for Text Collections. CoRR abs/2003.08529 (2020) - [i34]Jason Krone, Yi Zhang, Mona T. Diab:
Learning to Classify Intents and Slot Labels Given a Handful of Examples. CoRR abs/2004.10793 (2020) - [i33]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 abs/2004.12864 (2020) - [i32]Maryam Aminian, Mohammad Sadegh Rasooli, Mona T. Diab:
Mutlitask Learning for Cross-Lingual Transfer of Semantic Dependencies. CoRR abs/2004.14961 (2020) - [i31]Esin Durmus, He He, Mona T. Diab:
FEQA: A Question Answering Evaluation Framework for Faithfulness Assessment in Abstractive Summarization. CoRR abs/2005.03754 (2020) - [i30]Sawsan Alqahtani, Ajay Mishra, Mona T. Diab:
A Multitask Learning Approach for Diacritic Restoration. CoRR abs/2006.04016 (2020) - [i29]Chunting Zhou, Jiatao Gu, Mona T. Diab, Paco Guzman, Luke Zettlemoyer, Marjan Ghazvininejad:
Detecting Hallucinated Content in Conditional Neural Sequence Generation. CoRR abs/2011.02593 (2020)
2010 – 2019
- 2019
- [c133]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: 1285-1290 - [c132]Sawsan Alqahtani, Ajay Mishra, Mona T. Diab:
Efficient Convolutional Neural Networks for Diacritic Restoration. EMNLP/IJCNLP (1) 2019: 1442-1448 - [c131]Nada AlMarwani, Hanan Aldarmaki, Mona T. Diab:
Efficient Sentence Embedding using Discrete Cosine Transform. EMNLP/IJCNLP (1) 2019: 3670-3676 - [c130]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: 4525-4535 - [c129]Amal AlQahtani, Efsun Sarioglu Kayi, Mona T. Diab:
Understanding Cohesion in Writings and Speech of Schizophrenia Patients. ICMLA 2019: 364-369 - [c128]Sawsan Alqahtani, Mona T. Diab:
Investigating Input and Output Units in Diacritic Restoration. ICMLA 2019: 811-817 - [c127]Maryam Aminian, Mohammad Sadegh Rasooli, Mona T. Diab:
Cross-Lingual Transfer of Semantic Roles: From Raw Text to Semantic Roles. IWCS (1) 2019: 200-210 - [c126]Hanan Aldarmaki, Mona T. Diab:
Context-Aware Cross-Lingual Mapping. NAACL-HLT (1) 2019: 3906-3911 - [c125]Pedram Hosseini, Mona T. Diab, David A. Broniatowski:
Does Causal Coherence Predict Online Spread of Social Media? SBP-BRiMS 2019: 184-193 - [c124]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: 230-235 - [c123]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: 1115-1119 - [c122]Hanan Aldarmaki, Mona T. Diab:
Scalable Cross-Lingual Transfer of Neural Sentence Embeddings. *SEM@NAACL-HLT 2019: 51-60 - [c121]Sawsan Alqahtani, Hanan Aldarmaki, Mona T. Diab:
Homograph Disambiguation through Selective Diacritic Restoration. WANLP@ACL 2019 2019: 49-59 - [i28]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 Kayi, Noura Farra, Kathleen R. McKeown:
The ARIEL-CMU Systems for LoReHLT18. CoRR abs/1902.08899 (2019) - [i27]Hanan Aldarmaki, Mona T. Diab:
Context-Aware Cross-Lingual Mapping. CoRR abs/1903.03243 (2019) - [i26]Maryam Aminian, Mohammad Sadegh Rasooli, Mona T. Diab:
Cross-Lingual Transfer of Semantic Roles: From Raw Text to Semantic Roles. CoRR abs/1904.03256 (2019) - [i25]Hanan Aldarmaki, Mona T. Diab:
Scalable Cross-Lingual Transfer of Neural Sentence Embeddings. CoRR abs/1904.05542 (2019) - [i24]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 abs/1905.09439 (2019) - [i23]Fahad AlGhamdi, Mona T. Diab:
Leveraging Pretrained Word Embeddings for Part-of-Speech Tagging of Code Switching Data. CoRR abs/1905.13359 (2019) - [i22]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 abs/1906.04138 (2019) - [i21]Nada AlMarwani, Hanan Aldarmaki, Mona T. Diab:
Efficient Sentence Embedding using Discrete Cosine Transform. CoRR abs/1909.03104 (2019) - [i20]Arshit Gupta, Peng Zhang, Garima Lalwani, Mona T. Diab:
CASA-NLU: Context-Aware Self-Attentive Natural Language Understanding for Task-Oriented Chatbots. CoRR abs/1909.08705 (2019) - [i19]Fahad AlGhamdi, Giovanni Molina, Mona T. Diab, Thamar Solorio, Abdelati Hawwari, Victor Soto, Julia Hirschberg:
Part of speech tagging for code switched data. CoRR abs/1909.13006 (2019) - [i18]Fahad AlGhamdi, Mona T. Diab:
WASA: A Web Application for Sequence Annotation. CoRR abs/1909.13008 (2019) - [i17]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 abs/1909.13009 (2019) - [i16]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 abs/1909.13016 (2019) - [i15]Or Levi, Pedram Hosseini, Mona T. Diab, David A. Broniatowski:
Identifying Nuances in Fake News vs. Satire: Using Semantic and Linguistic Cues. CoRR abs/1910.01160 (2019) - [i14]Sawsan Alqahtani, Hanan Aldarmaki, Mona T. Diab:
Homograph Disambiguation Through Selective Diacritic Restoration. CoRR abs/1912.04479 (2019) - [i13]Sawsan Alqahtani, Ajay Mishra, Mona T. Diab:
Efficient Convolutional Neural Networks for Diacritic Restoration. CoRR abs/1912.06900 (2019) - [i12]Sardar Hamidian, Mona T. Diab:
Rumor Detection and Classification for Twitter Data. CoRR abs/1912.08926 (2019) - 2018
- [j8]Hanan Aldarmaki, Mahesh Mohan, Mona T. Diab:
Unsupervised Word Mapping Using Structural Similarities in Monolingual Embeddings. Trans. Assoc. Comput. Linguistics 6: 185-196 (2018) - [c120]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. CodeSwitch@ACL 2018: 138-147 - [c119]Hanan Aldarmaki, Mona T. Diab:
Evaluation of Unsupervised Compositional Representations. COLING 2018: 2666-2677 - [c118]Shabnam Tafreshi, Mona T. Diab:
Emotion Detection and Classification in a Multigenre Corpus with Joint Multi-Task Deep Learning. COLING 2018: 2905-2913 - [c117]Christopher Hidey, Mona T. Diab:
Team SWEEPer: Joint Sentence Extraction and Fact Checking with Pointer Networks. FEVER@EMNLP 2018: 150-155 - [c116]Fahad AlGhamdi, Mona T. Diab:
WASA: A Web Application for Sequence Annotation. LREC 2018 - [c115]Shabnam Tafreshi, Mona T. Diab:
Sentence and Clause Level Emotion Annotation, Detection, and Classification in a Multi-Genre Corpus. LREC 2018 - [e9]Gustavo Aguilar, Fahad AlGhamdi, Victor Soto, Thamar Solorio, Mona T. Diab, Julia Hirschberg:
Proceedings of the Third Workshop on Computational Approaches to Linguistic Code-Switching@ACL 2018, Melbourne, Australia, July 19, 2018. Association for Computational Linguistics 2018, ISBN 978-1-948087-45-2 [contents] - [i11]Hanan Aldarmaki, Mona T. Diab:
Evaluation of Unsupervised Compositional Representations. CoRR abs/1806.04713 (2018) - [i10]Efsun Sarioglu Kayi, Mona T. Diab, Luca Pauselli, Michael Compton, Glen Coppersmith:
Predictive Linguistic Features of Schizophrenia. CoRR abs/1810.09377 (2018) - 2017
- [c114]Maryam Aminian, Mohammad Sadegh Rasooli, Mona T. Diab:
Transferring Semantic Roles Using Translation and Syntactic Information. IJCNLP(2) 2017: 13-19 - [c113]Daniel M. Cer, Mona T. Diab, Eneko Agirre, Iñigo Lopez-Gazpio, Lucia Specia:
SemEval-2017 Task 1: Semantic Textual Similarity Multilingual and Crosslingual Focused Evaluation. SemEval@ACL 2017: 1-14 - [c112]Nada AlMarwani, Mona T. Diab:
GW_QA at SemEval-2017 Task 3: Question Answer Re-ranking on Arabic Fora. SemEval@ACL 2017: 344-348 - [c111]Efsun Sarioglu Kayi, Mona T. Diab, Luca Pauselli, Michael Compton, Glen Coppersmith:
Predictive Linguistic Features of Schizophrenia. *SEM 2017: 241-250