--- title: "Papers of 2022 — page 5 — 628 papers, the most cited first" description: "Papers of 2022: 628 papers of the Elamur Research library — what each work is about in our own words, its ideas, references and who cites it." canonical: "https://research.elamur.ai/free/en/papers/2022/page/5/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/2022/page/5/) [home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / 2022 # Papers of 2022 — page 5 628 papers · [all years](https://md.research.elamur.ai/free/en/papers/) [← prev](https://md.research.elamur.ai/free/en/papers/2022/page/4/) [1](https://md.research.elamur.ai/free/en/papers/2022/) … [4](https://md.research.elamur.ai/free/en/papers/2022/page/4/) **5** [6](https://md.research.elamur.ai/free/en/papers/2022/page/6/) [7](https://md.research.elamur.ai/free/en/papers/2022/page/7/) [next →](https://md.research.elamur.ai/free/en/papers/2022/page/6/) **[Predicting scalar diversity with context-driven uncertainty over alternatives](https://md.research.elamur.ai/free/en/papers/hu-2022-predicting-scalar-diversity-context-driven/)**Jennifer Hu, Roger Levy, Sebastian Schuster*[Workshop on Cognitive Modeling and Computational Linguistics (CMCL)](https://md.research.elamur.ai/free/en/venues/cmcl/) · 19 citations* - [Recognition of They/Them as Singular Personal Pronouns in Coreference Resolution](https://md.research.elamur.ai/free/en/papers/baumler-2022-recognition-they-them-as-singular/) — Connor Baumler, Rachel Rudinger · English · 19 citations - [Spam and Sentiment Detection in Arabic Tweets Using MARBERT Model](https://md.research.elamur.ai/free/en/papers/alotaibi-2026-spam-sentiment-detection-arabic-tweets/) — Abrar Alotaibi, Atta-ur Rahman, Raheel Alhaza, et al. · arXiv:2606.25495 · Mathematical Modelling of… · 19 citations - [A Second Wave of UD Hebrew Treebanking and Cross-Domain Parsing](https://md.research.elamur.ai/free/en/papers/zeldes-2022-second-wave-ud-hebrew-treebanking/) — Amir Zeldes, Nick Howell, Noam Ordan, et al. · Modern Hebrew · 18 citations **[ANEC: An Amharic Named Entity Corpus and Transformer Based Recognizer](https://md.research.elamur.ai/free/en/papers/jibril-2022-anec-amharic-named-entity-corpus/)**Ebrahim Chekol Jibril, A. Cuneyd Tant\ug*[IEEE Access](https://md.research.elamur.ai/free/en/venues/ieee-access/) · 18 citations* **[GuoFeng: A Benchmark for Zero Pronoun Recovery and Translation](https://md.research.elamur.ai/free/en/papers/xu-2022-guofeng-benchmark-zero-pronoun-recovery/)**Mingzhou Xu, Longyue Wang, Derek F. Wong, et al.*[Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/) · 18 citations* **[Universal Proposition Bank 2.0](https://md.research.elamur.ai/free/en/papers/jindal-2022-universal-proposition-bank-2-0/)**Ishan Jindal, Alexandre Rademaker, Michał Ulewicz, et al.*[Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/) · 18 citations* **[ArMATH: a Dataset for Solving Arabic Math Word Problems](https://md.research.elamur.ai/free/en/papers/alghamdi-2022-armath-dataset-solving-arabic-math/)**Reem Alghamdi, Zhenwen Liang, Xiangliang Zhang*[Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/) · 17 citations* - [Camel Treebank: An Open Multi-genre Arabic Dependency Treebank](https://md.research.elamur.ai/free/en/papers/habash-2022-camel-treebank-open-multi-genre/) — Nizar Habash, Muhammed AbuOdeh, Dima Taji, et al. · Semitic languages · 17 citations - [Hebrew nominals do not require functional structure above the NP](https://md.research.elamur.ai/free/en/papers/bruening-2022-hebrew-nominals-do-not-require/) — Benjamin Bruening · Modern Hebrew · 17 citations **[Hierarchical Aggregation of Dialectal Data for Arabic Dialect Identification](https://md.research.elamur.ai/free/en/papers/baimukan-2022-hierarchical-aggregation-dialectal-data-arabic/)**Nurpeiis Baimukan, Houda Bouamor, Nizar Habash*[Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/) · 17 citations* **[A Large and Diverse Arabic Corpus for Language Modeling](https://md.research.elamur.ai/free/en/papers/ali-2022-large-diverse-arabic-corpus-language/)**Abbas Raza Ali, Muhammad Ajmal Siddiqui, Rema Algunaibet, et al.*[Procedia Computer Science](https://md.research.elamur.ai/free/en/venues/procedia-computer-science/) · 16 citations* **[A Simple and Strong Baseline for End-to-End Neural RST-style Discourse Parsing](https://md.research.elamur.ai/free/en/papers/kobayashi-2022-simple-strong-baseline-end-end/)**Naoki Kobayashi, Tsutomu Hirao, Hidetaka Kamigaito, et al.*[Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/) · 16 citations* **[Controllable Lexical Simplification for English](https://md.research.elamur.ai/free/en/papers/sheang-2022-controllable-lexical-simplification-english/)**Kim Cheng Sheang, Daniel Ferrés, Horacio Saggion*[Workshop on Text Simplification, Accessibility and Readability](https://md.research.elamur.ai/free/en/venues/tsar/) · 16 citations* - [Improving Automatic Speech Recognition for Non-Native English with Transfer Learning and Language Model Decoding](https://md.research.elamur.ai/free/en/papers/sullivan-2022-improving-automatic-speech-recognition-non/) — Peter Sullivan, Toshiko Shibano, Muhammad Abdul-Mageed · arXiv:2202.05209 · 16 citations **[Label distributions help implicit discourse relation classification](https://md.research.elamur.ai/free/en/papers/yung-2022-label-distributions-help-implicit-discourse/)**Frances Yung, Kaveri Anuranjana, Merel Scholman, et al.*[Workshop on Computational Approaches to Discourse (CODI)](https://md.research.elamur.ai/free/en/venues/codi/) · 16 citations* - [Masader Plus: A New Interface for Exploring +500 Arabic NLP Datasets](https://md.research.elamur.ai/free/en/papers/altaher-2022-masader-plus-new-interface-exploring/) — Yousef Altaher, Ali Fadel, Mazen Alotaibi, et al. · arXiv:2208.00932 · 16 citations - [Opinion Piece: Can we Fix the Scope for Coreference? Problems and Solutions for Benchmarks beyond OntoNotes](https://md.research.elamur.ai/free/en/papers/zeldes-2022-opinion-piece-can-we-fix/) — Amir Zeldes · English · 16 citations - ["You might think about slightly revising the title": Identifying Hedges in Peer-tutoring Interactions](https://md.research.elamur.ai/free/en/papers/raphalen-2022-you-might-think-about-slightly/) — Yann Raphalen, Chloé Clavel, Justine Cassell · English · 15 citations **[Capture Human Disagreement Distributions by Calibrated Networks for Natural Language Inference](https://md.research.elamur.ai/free/en/papers/wang-2022-capture-human-disagreement-distributions-calibrated/)**Yuxia Wang, Minghan Wang, Yimeng Chen, et al.*[Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/) · 15 citations* **[Cross-document Event Coreference Search: Task, Dataset and Modeling](https://md.research.elamur.ai/free/en/papers/eirew-2022-cross-document-event-coreference-search/)**Alon Eirew, Avi Caciularu, Ido Dagan*[Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/) · 15 citations* **[End-to-end Multilingual Coreference Resolution with Mention Head Prediction](https://md.research.elamur.ai/free/en/papers/prazak-2022-end-end-multilingual-coreference-resolution/)**Ondřej Pražák, Miloslav Konopik*[Workshop on Computational Models of Reference, Anaphora and Coreference (CRAC)](https://md.research.elamur.ai/free/en/venues/crac/) · 15 citations* **[Improving Event Coreference Resolution Using Document-level and Topic-level Information](https://md.research.elamur.ai/free/en/papers/xu-2022-improving-event-coreference-resolution-document/)**Sheng Xu, Peifeng Li, Qiaoming Zhu*[Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/) · 15 citations* **[The Universal Anaphora Scorer](https://md.research.elamur.ai/free/en/papers/yu-2022-universal-anaphora-scorer/)**Juntao Yu, Sopan Khosla, Nafise Sadat Moosavi, et al.*[Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/) · 15 citations* - [Unsupervised Syntactically Controlled Paraphrase Generation with Abstract Meaning Representations](https://md.research.elamur.ai/free/en/papers/huang-2022-unsupervised-syntactically-controlled-paraphrase-generation/) — Kuan-Hao Huang, Varun Iyer, Anoop Kumar, et al. · Machine translation · 15 citations **[X-PuDu at SemEval-2022 Task 6: Multilingual Learning for English and Arabic Sarcasm Detection](https://md.research.elamur.ai/free/en/papers/han-2022-x-pudu-semeval-2022-task/)**Yaqian Han, Yekun Chai, Shuohuan Wang, et al.*[International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/) · 15 citations* - [A Survey in Automatic Irony Processing: Linguistic, Cognitive, and Multi-X Perspectives](https://md.research.elamur.ai/free/en/papers/zeng-2022-survey-automatic-irony-processing-linguistic/) — Qingcheng Zeng, An-Ran Li · English · 14 citations - [Morphotactic Modeling in an Open-source Multi-dialectal Arabic Morphological Analyzer and Generator](https://md.research.elamur.ai/free/en/papers/habash-2022-morphotactic-modeling-open-source-multi/) — Nizar Habash, Reham Marzouk, Christian Khairallah, et al. · Semitic languages · 14 citations - [The CODI-CRAC 2022 Shared Task on Anaphora, Bridging, and Discourse Deixis in Dialogue](https://md.research.elamur.ai/free/en/papers/yu-2022-codi-crac-2022-shared-task/) — Juntao Yu, Sopan Khosla, Ramesh Manuvinakurike, et al. · English · 14 citations **[ArCovidVac: Analyzing Arabic Tweets About COVID-19 Vaccination](https://md.research.elamur.ai/free/en/papers/mubarak-2022-arcovidvac-analyzing-arabic-tweets-about/)**Hamdy Mubarak, Sabit Hassan, Shammur Absar Chowdhury, et al.*[Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/) · 13 citations* - [Introducing BEREL: BERT Embeddings for Rabbinic-Encoded Language](https://md.research.elamur.ai/free/en/papers/shmidman-2022-introducing-berel-bert-embeddings-rabbinic/) — Avi Shmidman, Joshua Guedalia, Shaltiel Shmidman, et al. · Ancient Hebrew · 13 citations **[Looking at the Overlooked: An Analysis on the Word-Overlap Bias in Natural Language Inference](https://md.research.elamur.ai/free/en/papers/rajaee-2022-looking-overlooked-analysis-word-overlap/)**Sara Rajaee, Yadollah Yaghoobzadeh, Mohammad Taher Pilehvar*[Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/) · 13 citations* **[Partial-input baselines show that NLI models can ignore context, but they don't.](https://md.research.elamur.ai/free/en/papers/srikanth-2022-partial-input-baselines-show-that/)**Neha Srikanth, Rachel Rudinger*[Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/) · 13 citations* **[Sarcasm Detection is Way Too Easy! An Empirical Comparison of Human and Machine Sarcasm Detection](https://md.research.elamur.ai/free/en/papers/farha-2022-sarcasm-detection-is-way-too/)**Ibrahim Abu Farha, Steven Wilson, Silviu Oprea, et al.*[Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/) · 13 citations* **[Should a Chatbot be Sarcastic? Understanding User Preferences Towards Sarcasm Generation](https://md.research.elamur.ai/free/en/papers/oprea-2022-should-chatbot-be-sarcastic-understanding/)**Silviu Vlad Oprea, Steven Wilson, Walid Magdy*[Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/) · 13 citations* **[GeezSwitch: Language Identification in Typologically Related Low-resourced East African Languages](https://md.research.elamur.ai/free/en/papers/gaim-2022-geezswitch-language-identification-typologically-related/)**Fitsum Gaim, Wonsuk Yang, Jong C. Park*[Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/) · 12 citations* **[Improving Arabic Diacritization by Learning to Diacritize and Translate](https://md.research.elamur.ai/free/en/papers/thompson-2022-improving-arabic-diacritization-learning-diacritize/)**Brian Thompson, Ali Alshehri*[International Conference on Spoken Language Translation (IWSLT)](https://md.research.elamur.ai/free/en/venues/iwslt/) · 12 citations* **[Investigating the Performance of Transformer-Based NLI Models on Presuppositional Inferences](https://md.research.elamur.ai/free/en/papers/kabbara-2022-investigating-performance-transformer-based-nli/)**Jad Kabbara, Jackie Chi Kit Cheung*[International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/) · 12 citations* - [News Headlines Dataset For Sarcasm Detection](https://md.research.elamur.ai/free/en/papers/misra-2022-news-headlines-dataset-sarcasm-detection/) — Rishabh Misra · arXiv:2212.06035 · 12 citations - [Towards Pragmatic Production Strategies for Natural Language Generation Tasks](https://md.research.elamur.ai/free/en/papers/giulianelli-2022-pragmatic-production-strategies-natural-language/) — Mario Giulianelli · English · 12 citations **[ÚFAL CorPipe at CRAC 2022: Effectivity of Multilingual Models for Coreference Resolution](https://md.research.elamur.ai/free/en/papers/straka-2022-fal-corpipe-crac-2022-effectivity/)**Milan Straka, Jana Straková*[Workshop on Computational Models of Reference, Anaphora and Coreference (CRAC)](https://md.research.elamur.ai/free/en/venues/crac/) · 12 citations* **[A Distance-Aware Multi-Task Framework for Conversational Discourse Parsing](https://md.research.elamur.ai/free/en/papers/fan-2022-distance-aware-multi-task-framework/)**Yaxin Fan, Peifeng Li, Fang Kong, et al.*[International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/) · 11 citations* **[CS-UM6P at SemEval-2022 Task 6: Transformer-based Models for Intended Sarcasm Detection in English and Arabic](https://md.research.elamur.ai/free/en/papers/mahdaouy-2022-cs-um6p-semeval-2022-task/)**Abdelkader El Mahdaouy, Abdellah El Mekki, Kabil Essefar, et al.*[International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/) · 11 citations* **[Design Choices in Crowdsourcing Discourse Relation Annotations: The Effect of Worker Selection and Training](https://md.research.elamur.ai/free/en/papers/scholman-2022-design-choices-crowdsourcing-discourse-relation/)**Merel Scholman, Valentina Pyatkin, Frances Yung, et al.*[Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/) · 11 citations* - [Disentangling Indirect Answers to Yes-No Questions in Real Conversations](https://md.research.elamur.ai/free/en/papers/sanagavarapu-2022-disentangling-indirect-answers-yes-no/) — Krishna Sanagavarapu, Jathin Singaraju, Anusha Kakileti, et al. · English · 11 citations **[PEPDS: A Polite and Empathetic Persuasive Dialogue System for Charity Donation](https://md.research.elamur.ai/free/en/papers/mishra-2022-pepds-polite-empathetic-persuasive-dialogue/)**Kshitij Mishra, Azlaan Mustafa Samad, Palak Totala, et al.*[International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/) · 11 citations* - [Semantic properties of English nominal pluralization: Insights from word embeddings](https://md.research.elamur.ai/free/en/papers/shafaei-bajestan-2022-semantic-properties-english-nominal-pluralization/) — Elnaz Shafaei-Bajestan, Masoumeh Moradipour-Tari, Peter Uhrig, et al. · English · 11 citations **[Speciesist Language and Nonhuman Animal Bias in English Masked Language Models](https://md.research.elamur.ai/free/en/papers/takeshita-2022-speciesist-language-nonhuman-animal-bias/)**Masashi Takeshita, Rafal Rzepka, Kenji Araki*[Information Processing & Management](https://md.research.elamur.ai/free/en/venues/information-processing-management/) · 11 citations* - [T-STAR: Truthful Style Transfer using AMR Graph as Intermediate Representation](https://md.research.elamur.ai/free/en/papers/jangra-2022-t-star-truthful-style-transfer/) — Anubhav Jangra, Preksha Nema, Aravindan Raghuveer · Machine translation · 11 citations **[Contrastive Representation Learning for Cross-Document Coreference Resolution of Events and Entities](https://md.research.elamur.ai/free/en/papers/hsu-2022-contrastive-representation-learning-cross-document/)**Benjamin Hsu, Graham Horwood*[Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/) · 10 citations* - [How Much Does Lookahead Matter for Disambiguation? Partial Arabic Diacritization Case Study](https://md.research.elamur.ai/free/en/papers/esmail-2022-how-much-does-lookahead-matter/) — Saeed Esmail, Kfir Bar, Nachum Dershowitz · Semitic languages · 10 citations **[Plumeria at SemEval-2022 Task 6: Sarcasm Detection for English and Arabic Using Transformers and Data Augmentation](https://md.research.elamur.ai/free/en/papers/shaheen-2022-plumeria-semeval-2022-task-6/)**Mosab Shaheen, Shubham Kumar Nigam*[International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/) · 10 citations* **[Speaker-Aware Discourse Parsing on Multi-Party Dialogues](https://md.research.elamur.ai/free/en/papers/yu-2022-speaker-aware-discourse-parsing-multi/)**Nan Yu, Guohong Fu, Min Zhang*[International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/) · 10 citations* **[Towards Arabic Sentence Simplification via Classification and Generative Approaches](https://md.research.elamur.ai/free/en/papers/khallaf-2022-arabic-sentence-simplification-classification-generative/)**Nouran Khallaf, Serge Sharoff, Rasha Soliman*[Arabic Natural Language Processing Workshop (WANLP)](https://md.research.elamur.ai/free/en/venues/wanlp/) · 10 citations* **[When to Say What and How: Adapting the Elaborateness and Indirectness of Spoken Dialogue Systems](https://md.research.elamur.ai/free/en/papers/miehle-2022-when-say-what-how-adapting/)**Juliana Miehle, Wolfgang Minker, Stefan Ultes*[Dialogue & Discourse](https://md.research.elamur.ai/free/en/venues/dnd/) · 10 citations* - [ArNLI: Arabic Natural Language Inference for Entailment and Contradiction Detection](https://md.research.elamur.ai/free/en/papers/jallad-2022-arnli-arabic-natural-language-inference/) — Khloud Al Jallad, Nada Ghneim · arXiv:2209.13953 · (2023) Computer Science… · 9 citations - [BERT, can HE predict contrastive focus? Predicting and controlling prominence in neural TTS using a language model](https://md.research.elamur.ai/free/en/papers/stephenson-2022-bert-he-predict-contrastive-focus/) — Brooke Stephenson, Laurent Besacier, Laurent Girin, et al. · English · 9 citations - [Can language models capture syntactic associations without surface cues? A case study of reflexive anaphor licensing in English control constructions](https://md.research.elamur.ai/free/en/papers/lee-2022-can-language-models-capture-syntactic/) — Soo-Hwan Lee, Sebastian Schuster · English · 9 citations - [Computational analyses of the topics, sentiments, literariness, creativity and beauty of texts in a large Corpus of English Literature](https://md.research.elamur.ai/free/en/papers/jacobs-2022-computational-analyses-topics-sentiments-literariness/) — Arthur M. Jacobs, Annette Kinder · arXiv:2201.04356 · 9 citations - [Nucleus Composition in Transition-based Dependency Parsing](https://md.research.elamur.ai/free/en/papers/nivre-2022-nucleus-composition-transition-based-dependency/) — Joakim Nivre, Ali Basirat, Luise Dürlich, et al. · English · 9 citations **[Polite Task-oriented Dialog Agents: To Generate or to Rewrite?](https://md.research.elamur.ai/free/en/papers/silva-2022-polite-task-oriented-dialog-agents/)**Diogo Silva, David Semedo, João Magalhães*[Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis](https://md.research.elamur.ai/free/en/venues/wassa/) · 9 citations* - [Restoring Hebrew Diacritics Without a Dictionary](https://md.research.elamur.ai/free/en/papers/gershuni-2022-restoring-hebrew-diacritics-without-dictionary/) — Elazar Gershuni, Yuval Pinter · Ancient Hebrew · 9 citations - [Revisiting Pre-trained Language Models and their Evaluation for Arabic Natural Language Understanding](https://md.research.elamur.ai/free/en/papers/ghaddar-2022-revisiting-pre-trained-language-models-their/) — Abbas Ghaddar, Yimeng Wu, Sunyam Bagga, et al. · arXiv:2205.10687 · 9 citations **[The Index Thomisticus Treebank as Linked Data in the LiLa Knowledge Base](https://md.research.elamur.ai/free/en/papers/mambrini-2022-index-thomisticus-treebank-as-linked/)**Francesco Mambrini, Marco Passarotti, Giovanni Moretti, et al.*[Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/) · 9 citations* **[YNU-HPCC at SemEval-2022 Task 6: Transformer-based Model for Intended Sarcasm Detection in English and Arabic](https://md.research.elamur.ai/free/en/papers/zheng-2022-ynu-hpcc-semeval-2022-task/)**Guangmin Zheng, Jin Wang, Xuejie Zhang*[International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/) · 9 citations* - 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