Mona Diab · page 2
Papers
- Subjectivity and Sentiment Annotation of Modern Standard Arabic Newswire (2011 · 91 citations)
Research on subjectivity and sentiment analysis (SSA) has mostly focused on English and on opinion-heavy genres such as reviews and blogs. - Developing and Using a Pilot Dialectal Arabic Treebank (2006 · 84 citations)
Arabic dialects are spoken rather than written, so parsers lack dialect training data. For the 2005 JHU workshop on Parsing Arabic Dialects (PAD), the LDC quickly built a pilot Levantine Arabic Treebank (LATB). It covers about 26,000 words of Jordanian conversational telephone speech. The goal was a development and… - Automatic Committed Belief Tagging (2010 · 83 citations)
The paper moves past extracting bare propositions and asks a further question: which propositions does the writer present as their own firm belief, which as tentative or merely reported, and which as having no truth value at all (wishes, questions, demands)? The authors use a 10,000-word multi-genre corpus (Diab et… - LDC Arabic Treebanks and Associated Corpora: Data Divisions Manual (2013 · 82 citations)
LDC publishes its Arabic treebanks as single undivided collections, while NLP experiments need separate training, development and test portions. - Identifying Opinion Subgroups in Arabic Online Discussions (2013 · 77 citations)
The paper addresses how participants in an Arabic online debate split into camps with opposing views. The system takes a forum thread and outputs a subgroup label for every discussant. The pipeline has five components: - Arabic diacritization in the context of statistical machine translation (2007 · 77 citations)
Arabic script usually omits diacritics, the optional marks for short vowels, gemination and nunation. This leaves words lexically and morphologically ambiguous. The authors ask whether restoring some or all of these marks helps phrase-based SMT from Arabic. Earlier preprocessing work mostly tried to shrink sparsity.… - Named Entity Recognition for Arabic Social Media (2015 · 76 citations)
The paper addresses named entity recognition for Arabic social media, where Modern Standard Arabic (MSA) and Dialectal Arabic (DA) mix within the same message. - AIDA: Identifying Code Switching in Informal Arabic Text (2014 · 76 citations)
The paper addresses token-level detection of code switching between Modern Standard Arabic (MSA) and Egyptian dialectal Arabic (EDA) in informal Twitter text. - Tharwa: A Large Scale Dialectal Arabic - Standard Arabic - English Lexicon (2014 · 62 citations)
Dialectal Arabic (DA), and Egyptian Arabic (EGY) in particular, is common in online text. Most Arabic NLP tools, however, are built for Modern Standard Arabic (MSA) and perform much worse on dialects. DA and MSA differ in phonology, morphology and vocabulary. Many written forms look the same across varieties but mean… - Simplified guidelines for the creation of Large Scale Dialectal Arabic Annotations (2012 · 53 citations)
Arabic speakers routinely mix Modern Standard Arabic (MSA) with their native dialect (DA), and this mixing is common in online forums. - Methods for Measuring, Updating, and Visualizing Factual Beliefs in Language Models (2023 · 51 citations)
The paper investigates how well language models of roughly 100M parameters hold coherent factual "beliefs" and how those beliefs can be edited after training without retraining. - AIDA2: A Hybrid Approach for Token and Sentence Level Dialect Identification in Arabic (2015 · 50 citations)
The paper addresses dialect identification in Arabic text where Modern Standard Arabic (MSA) and Egyptian Arabic (EDA) are mixed, sometimes within a single sentence. - Improved Arabic Base Phrase Chunking with a new enriched POS tag set (2007 · 47 citations)
The paper tackles base phrase chunking (BPC) for Modern Standard Arabic. BPC is a shallow, non-recursive alternative to full parsing, which performed poorly for Arabic at the time. Diab proposes ERTS, an enriched POS tag set. It extends the 25-tag LDC reduced set (RTS) by marking definiteness, gender and number on… - BIG5-CHAT: Shaping LLM Personalities Through Training on Human-Grounded Data (2025 · 42 citations)
Earlier attempts to give LLMs a Big Five personality mostly rely on prompts that describe typical behaviours. - Arabic Named Entity Recognition: Using Features Extracted from Noisy Data (2010 · 42 citations)
Arabic NER is hard because of rich morphology and small hand-labelled corpora, so features that need many examples, like syntactic context, are hard to learn from gold data alone. - Arabic Textual Entailment with Word Embeddings (2017 · 30 citations)
The paper addresses Recognizing Textual Entailment (RTE) for Arabic: deciding whether a Hypothesis (H) follows from a Text (T). - A Pilot Study on Arabic Multi-Genre Corpus Diacritization (2015 · 30 citations)
Modern Standard Arabic is normally written without most short-vowel marks, so one undiacritized form can map to many readings (up to about 200). - A Multitask Learning Approach for Diacritic Restoration (2020 · 28 citations)
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. - The FIGNEWS Shared Task on News Media Narratives (2024 · 26 citations)
FIGNEWS was a shared task at Arabic-NLP 2024, held alongside ACL 2024. Its goal was less about building classifiers and more about learning how to write annotation guidelines for subjective, politically charged judgments. The case study was multilingual news coverage of the opening months of the Israel War on Gaza.… - Towards Responsible Natural Language Annotation for the Varieties of Arabic (2022 · 26 citations)
This position paper argues that Arabic NLP datasets are often built with too little attention to how different the Arabic varieties are, and that this can harm vulnerable communities. - Semantic Role Labeling Systems for Arabic using Kernel Methods (2008 · 25 citations)
This paper addresses Semantic Role Labeling (SRL) for Modern Standard Arabic. Arabic is hard for role labeling because it has rich templatic morphology, subject pro-drop, relatively free VSO/SVO order and recursive idafa possessive noun phrases. The authors hypothesize that explicit morphological cues help identify… - SemEval-2007 Task 18: Arabic Semantic Labeling (2007 · 25 citations)
This SemEval-2007 task set out to give Arabic computational semantics a shared benchmark. At the time Arabic had almost no semantically annotated data, and English-oriented labelers were unlikely to transfer well. The organizers built four subtasks on Modern Standard Arabic newswire from the Arabic Treebank (ATB): - Committed Belief Tagging on the Factbank and LU Corpora: A Comparative Study (2015 · 24 citations)
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… - GWU-HASP: Hybrid Arabic Spelling and Punctuation Corrector (2014 · 24 citations)
The paper presents HASP, a system entered in the QALB shared task of 2014, which focused on correcting errors in Arabic text. - Guidelines and Framework for a Large Scale Arabic Diacritized Corpus (2016 · 23 citations)
Most written Modern Standard Arabic omits short vowels and other diacritics, so a single written word can map to several pronunciations, lemmas and grammatical readings.
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