| Domain adaptation for dependency parsing via self-training J Yu, M El-karef, B Bohnet Proceedings of the 14th International Conference on Parsing Technologies, 1-10, 2015 | 43 | 2015 |
| A simple LSTM model for transition-based dependency parsing M Elkaref, B Bohnet arXiv preprint arXiv:1708.08959, 2017 | 8 | 2017 |
| Exploring options for fast domain adaptation of dependency parsers V Pekar, J Yu, M El-karef, B Bohnet Proceedings of the First Joint Workshop on Statistical Parsing of …, 2014 | 8 | 2014 |
| A joint training approach to tweet classification and adverse effect extraction and normalization for SMM4h 2021 M El-karef, L Hassan Proceedings of the Sixth Social Media Mining for Health (# SMM4H) Workshop …, 2021 | 7 | 2021 |
| NLPeople at NADI 2023 Shared Task: Arabic Dialect Identification with Augmented Context and Multi-Stage Tuning M El-karef, M Moses, S Tanaka, J Barry, G Mel Proceedings of ArabicNLP 2023, 642-646, 2023 | 3 | 2023 |
| NLPeople at SemEval-2023 task 2: A staged approach for multilingual named entity recognition M El-karef, N Herr, S Tanaka, G De Mel Proceedings of the 17th International Workshop on Semantic Evaluation …, 2023 | 3 | 2023 |
| Text mining tweets on e-cigarette risks and benefits using machine learning following a vaping related lung injury outbreak in the USA L Hassan, M Elkaref, G de Mel, I Bogdanovica, G Nenadic Healthcare Analytics 2, 100066, 2022 | 3 | 2022 |
| El-Kawaref at WojoodNER shared task: StagedNER for Arabic Named Entity Recognition N Elkaref, M El-karef Proceedings of ArabicNLP 2023, 803-808, 2023 | 1 | 2023 |
| Taxonomy-Guided Fine-Grained Entity Set Expansion J Xiao, M Elkaref, N Herr, GD Mel, J Han Proceedings of the 2023 SIAM International Conference on Data Mining (SDM …, 2023 | 1 | 2023 |
| QGen Studio: An Adaptive Question-Answer Generation, Training and Evaluation Platform M Moses, M Elkaref, J Barry, S Tanaka, V Kuruvanthodi, N Herr, C Watson, ... AAAI Conference on Artificial Intelligence, 2025 | | 2025 |
| NLPeople at L+ M-24 Shared Task: An Ensembled Approach for Molecule Captioning from SMILES S Tanaka, C Mak, F Cipcigan, J Barry, M El-karef, M Moses, ... Proceedings of the 1st Workshop on Language+ Molecules (L+ M 2024), 85-90, 2024 | | 2024 |
| NLPeople at TextGraphs-17 Shared Task: Chain of Thought Questioning to Elicit Decompositional Reasoning M Moses, V Kuruvanthodi, M El-karef, S Tanaka, J Barry, G Mel, C Watson Proceedings of TextGraphs-17: Graph-based Methods for Natural Language …, 2024 | | 2024 |
| KnowledgeHub: An end-to-end Tool for Assisted Scientific Discovery S Tanaka, J Barry, V Kuruvanthodi, M Moses, MJ Giammona, N Herr, ... arXiv preprint arXiv:2406.00008, 2024 | | 2024 |
| ORAG: Ontology-Guided Retrieval-Augmented Generation for Theme-Specific Entity Typing J Xiao, L Ding, J Barry, M Elkaref, G De Mel, J Han First Conference on Language Modeling, 2024 | | 2024 |
| Automatic, physical data extraction from scientific publications for application to generative molecular design in computational materials discovery R Giro, M Elkaref, H Hsu, N Herr, G de Mel, M Steiner APS March Meeting Abstracts 2023, A53. 011, 2023 | | 2023 |
| Artificial intelligence based materials discovery building from documents and recommendations MG De Bayser, GR De Mel, MB Steiner, M Elkaref, R Giro, BG Elmegreen, ... US Patent App. 17/246,543, 2022 | | 2022 |
| Controlling a multiphase flow CP Monferrer, LN Hoang, E Bentivegna, M Elkaref US Patent App. 17/108,362, 2022 | | 2022 |
| Fast or efficient? Strategy selection in the game Entropy Mastermind L Bertram, F Elsäßer, A Feduzi, Z Gyarmathy, W Kowalik, A Onojaife, ... Proceedings of the Annual Meeting of the Cognitive Science Society 43 (43), 2021 | | 2021 |
| Recursive LSTM Tree Representation for Arc-Standard Transition-Based Dependency Parsing M El-karef, B Bohnet Proceedings of the Third Workshop on Universal Dependencies (UDW, SyntaxFest …, 2019 | | 2019 |
| Deep learning applications for transition-based dependency parsing M Elkaref University of Birmingham, 2018 | | 2018 |
Bernd BohnetResearch Scientist, Google Deep MindVerified email at google.com
