--- title: "Mona Diab — papers and cards" description: "Mona Diab: 6 paper cards in the Research library (2006–2020), with what each paper is about, the ideas Mova took from it, and the co-authors." canonical: "https://research.elamur.ai/free/en/authors/mona-diab/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/mona-diab/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Mona Diab # Mona Diab 6 paper cards in the Research library · 2006–2020 Mona Diab wrote 6 of the papers Mova reads, in 2006–2020, most of them on [Treebanks](https://md.research.elamur.ai/free/en/topics/treebanks/), [Part-of-speech tagging](https://md.research.elamur.ai/free/en/topics/part-of-speech-tagging/), [Machine translation](https://md.research.elamur.ai/free/en/topics/machine-translation/); often with [Owen Rambow](https://md.research.elamur.ai/free/en/authors/owen-rambow/), [Nizar Habash](https://md.research.elamur.ai/free/en/authors/nizar-habash/), [Ryan Roth](https://md.research.elamur.ai/free/en/authors/ryan-roth/). [OpenAlex](https://openalex.org/A5038581447) · [ORCID](https://orcid.org/0000-0002-7696-1436) · [**h-index 48**](https://openalex.org/authors/A5038581447) · [10817 citations](https://openalex.org/authors/A5038581447) · [293 works](https://openalex.org/works?filter=author.id:A5038581447) — openalex-snapshot, 2026-10-14 The profile is the library's match of the name; two people with one name are not always told apart. Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Mona+Diab) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Mona+Diab) · [dblp](https://dblp.org/search?q=Mona+Diab) · [ACL Anthology](https://aclanthology.org/search/?q=Mona+Diab) · [ORCID](https://orcid.org/orcid-search/search?searchQuery=Mona+Diab) Topics: [Treebanks](https://md.research.elamur.ai/free/en/topics/treebanks/) 1 · [Part-of-speech tagging](https://md.research.elamur.ai/free/en/topics/part-of-speech-tagging/) 1 · [Machine translation](https://md.research.elamur.ai/free/en/topics/machine-translation/) 1 ## Papers 1. **[A Multitask Learning Approach for Diacritic Restoration](https://md.research.elamur.ai/free/en/papers/acl-2020-alqahtani-multitask-learning-approach-diacritic-restoration/)** *(2020)* Diacritic restoration for Arabic (adding the short vowels to undiacritized text) is usually done by a character-level BiLSTM, which can lose word-level information. 2. **[Committed Belief Tagging on the Factbank and LU Corpora: A Comparative Study](https://md.research.elamur.ai/free/en/papers/werner-2015-committed-belief-tagging-factbank-lu/)** *(2015)* Committed belief (CB) is how strongly a writer commits to a proposition. Two corpora label it: the LU corpus (16 documents, four genres, 3-way labels) and FactBank (newswire, about four times larger, factuality labels). The authors map both to a common 4-way scheme: committed belief, non-committed belief… 3. **[MADAMIRA: A Fast, Comprehensive Tool for Morphological Analysis and Disambiguation of Arabic](https://md.research.elamur.ai/free/en/papers/lingbulk-2014-pasha-madamira-fast-comprehensive-tool-morphological/)** *(2014)* MADAMIRA merges two older Arabic tools, MADA (morphology and disambiguation) and AMIRA (tokenization, tagging, chunking), into one Java system. 4. **[Arabic Morphological Tagging, Diacritization, and Lemmatization Using Lexeme Models and Feature Ranking](https://md.research.elamur.ai/free/en/papers/aclbulk-2008-roth-arabic-morphological-tagging-diacritization-lemmatization/)** *(2008)* MADA picks, for each Arabic word, one analysis from the candidates that the BAMA dictionary proposes. It scores each candidate by summing the weights of the features on which the candidate agrees with the model's prediction. The features are 14 morphological tags, each predicted by an SVM, two checks (spelling match… 5. **[Semi-automatic error analysis for large-scale statistical machine translation](https://md.research.elamur.ai/free/en/papers/kirchhoff-2007-semi-automatic-error-analysis-large/)** *(2007)* The paper relates properties of the input documents to the translation quality of a large SMT system, scored per document by HTER. 6. **[Parsing Arabic Dialects](https://md.research.elamur.ai/free/en/papers/aclbulk-2006-chiang-parsing-arabic-dialects/)** *(2006)* Levantine Arabic (LA) is spoken, unwritten, and has almost no treebank, while MSA has the Penn Arabic Treebank (about 17,600 training sentences). ## Co-authors (16) - [Owen Rambow](https://md.research.elamur.ai/free/en/authors/owen-rambow/) ×5 - [Nizar Habash](https://md.research.elamur.ai/free/en/authors/nizar-habash/) ×4 - [Ryan Roth](https://md.research.elamur.ai/free/en/authors/ryan-roth/) ×2 - Ahmed El Kholy - Ajay Mishra - Arfath Pasha - [Cynthia Rudin](https://md.research.elamur.ai/free/en/authors/cynthia-rudin/) - [David Chiang](https://md.research.elamur.ai/free/en/authors/david-chiang/) - Gregory Werner - Katrin Kirchhoff - Manoj Pooleery - [Mohamed Al-Badrashiny](https://md.research.elamur.ai/free/en/authors/mohamed-al-badrashiny/) - [Ramy Eskander](https://md.research.elamur.ai/free/en/authors/ramy-eskander/) - Safiullah Shareef - [Sawsan Alqahtani](https://md.research.elamur.ai/free/en/authors/sawsan-alqahtani/) - Vinodkumar Prabhakaran ## More papers in the library (12) Pages of the Research library: our summary, the ideas, references and who cites each. - [Understanding the Sociocultural Dimensions of Mental Health Discourse in Arabic-Language X Communities](https://md.research.elamur.ai/free/en/papers/alqahtani-2026-understanding-sociocultural-dimensions-mental-health-discourse/) — Amal Alqahtani, Rana Salama, Mona Diab · 2026 - [Investigating Cultural Alignment of Large Language Models](https://md.research.elamur.ai/free/en/papers/alkhamissi-2024-investigating-cultural-alignment-large-language/) — Badr AlKhamissi, Muhammad ElNokrashy, Mai Alkhamissi, et al. · 2024 - [Detecting Hallucinated Content in Conditional Neural Sequence Generation](https://md.research.elamur.ai/free/en/papers/zhou-2021-detecting-hallucinated-content-conditional-neural/) — Chunting Zhou, Graham Neubig, Jiatao Gu, et al. · 2021 - [FEQA: A Question Answering Evaluation Framework for Faithfulness Assessment in Abstractive Summarization](https://md.research.elamur.ai/free/en/papers/durmus-2020-feqa-question-answering-evaluation-framework/) — Esin Durmus, He He, Mona Diab · 2020 - [Leveraging Pretrained Word Embeddings for Part-of-Speech Tagging of Code Switching Data](https://md.research.elamur.ai/free/en/papers/alghamdi-2019-leveraging-pretrained-word-embeddings-part/) — Fahad AlGhamdi, Mona Diab · 2019 - [SemEval-2016 Task 1: Semantic Textual Similarity, Monolingual and Cross-Lingual Evaluation](https://md.research.elamur.ai/free/en/papers/agirre-2016-semeval-2016-task-1-semantic/) — Eneko Agirre, Carmen Banea, Daniel Cer, et al. · 2016 - [SemEval-2015 Task 2: Semantic Textual Similarity, English, Spanish and Pilot on Interpretability](https://md.research.elamur.ai/free/en/papers/agirre-2015-semeval-2015-task-2-semantic/) — Eneko Agirre, Carmen Banea, Claire Cardie, et al. · 2015 - [Overview for the First Shared Task on Language Identification in Code-Switched Data](https://md.research.elamur.ai/free/en/papers/solorio-2014-overview-first-shared-task-language/) — Thamar Solorio, Elizabeth Blair, Suraj Maharjan, et al. · 2014 - [SemEval-2014 Task 10: Multilingual Semantic Textual Similarity](https://md.research.elamur.ai/free/en/papers/agirre-2014-semeval-2014-task-10-multilingual/) — Eneko Agirre, Carmen Banea, Claire Cardie, et al. · 2014 - [SEM 2013 shared task: Semantic Textual Similarity](https://md.research.elamur.ai/free/en/papers/agirre-2013-sem-2013-shared-task-semantic/) — Eneko Agirre, Daniel Cer, Mona Diab, et al. · 2013 - [Conventional Orthography for Dialectal Arabic](https://md.research.elamur.ai/free/en/papers/habash-2012-conventional-orthography-dialectal-arabic/) — Nizar Habash, Mona Diab, Owen Rambow · 2012 - [SemEval-2012 Task 6: A Pilot on Semantic Textual Similarity](https://md.research.elamur.ai/free/en/papers/agirre-2012-semeval-2012-task-6-pilot/) — Eneko Agirre, Daniel Cer, Mona Diab, et al. · 2012