--- title: "Papers of 2022 — page 4" description: "Papers of 2022: 455 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/4/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/2022/page/4/) [home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / 2022 # Papers of 2022 — page 4 455 papers · [all years](https://md.research.elamur.ai/free/en/papers/) [← prev](https://md.research.elamur.ai/free/en/papers/2022/page/3/) [1](https://md.research.elamur.ai/free/en/papers/2022/) [2](https://md.research.elamur.ai/free/en/papers/2022/page/2/) [3](https://md.research.elamur.ai/free/en/papers/2022/page/3/) **4** [5](https://md.research.elamur.ai/free/en/papers/2022/page/5/) [next →](https://md.research.elamur.ai/free/en/papers/2022/page/5/) - [PPT: Pre-trained Prompt Tuning for Few-shot Learning](https://md.research.elamur.ai/free/en/papers/gu-2022-ppt-pre-trained-prompt-tuning/) — Yuxian Gu, Xu Han, Zhiyuan Liu, et al. · Proceedings of the 60th Annual Meeting of the… - [Pragmatic and Logical Inferences in NLI Systems: The Case of Conjunction Buttressing](https://md.research.elamur.ai/free/en/papers/pedinotti-2022-pragmatic-logical-inferences-nli-systems/) — Paolo Pedinotti, Emmanuele Chersoni, Enrico Santus, et al. · English - [Precise Zero-Shot Dense Retrieval without Relevance Labels](https://md.research.elamur.ai/free/en/papers/gao-2022-precise-zero-shot-dense-retrieval/) — Luyu Gao, Xueguang Ma, Jimmy Lin, et al. · arXiv:2212.10496 - [Predicting the Proficiency Level of Nonnative Hebrew Authors](https://md.research.elamur.ai/free/en/papers/lingbulk-2022-nguyen-predicting-proficiency-level-nonnative-hebrew/) — Isabelle Nguyen, Shuly Wintner · Modern Hebrew - [PRIMERA: Pyramid-based Masked Sentence Pre-training for Multi-document Summarization](https://md.research.elamur.ai/free/en/papers/xiao-2022-primera-pyramid-based-masked-sentence/) — Wen Xiao, Iz Beltagy, Giuseppe Carenini, et al. · Proceedings of the 60th Annual Meeting of the… - [Probing Classifiers: Promises, Shortcomings, and Advances](https://md.research.elamur.ai/free/en/papers/belinkov-2022-probing-classifiers-promises-shortcomings-advances/) — Yonatan Belinkov · Computational Linguistics - [Proceedings of the Universal Dependencies Brazilian Festival](https://md.research.elamur.ai/free/en/papers/anon-2022-proceedings-universal-dependencies-brazilian-festival/) — Research library - [ProgPrompt: Generating Situated Robot Task Plans using Large Language Models](https://md.research.elamur.ai/free/en/papers/singh-2022-progprompt-generating-situated-robot-task/) — Ishika Singh, Valts Blukis, Arsalan Mousavian, et al. · arXiv:2209.11302 - [Prompt for Extraction? PAIE: Prompting Argument Interaction for Event Argument Extraction](https://md.research.elamur.ai/free/en/papers/ma-2022-prompt-extraction-paie-prompting-argument/) — Yubo Ma, Zehao Wang, Yixin Cao, et al. · Proceedings of the 60th Annual Meeting of the… - [Prompt-based Connective Prediction Method for Fine-grained Implicit Discourse Relation Recognition](https://md.research.elamur.ai/free/en/papers/zhou-2022-prompt-based-connective-prediction-method/) — Hao Zhou, Man Lan, Yuanbin Wu, et al. · Findings of the Association for Computational… - [Promptagator: Few-shot Dense Retrieval From 8 Examples](https://md.research.elamur.ai/free/en/papers/dai-2022-promptagator-few-shot-dense-retrieval/) — Zhuyun Dai, Vincent Y. Zhao, Ji Ma, et al. · arXiv:2209.11755 - [Prompting GPT-3 To Be Reliable](https://md.research.elamur.ai/free/en/papers/si-2022-prompting-gpt-3-reliable/) — Chenglei Si, Zhe Gan, Zhengyuan Yang, et al. · arXiv:2210.09150 - [PromptSource: An Integrated Development Environment and Repository for Natural Language Prompts](https://md.research.elamur.ai/free/en/papers/bach-2022-promptsource-integrated-development-environment-repository/) — Stephen H. Bach, Victor Sanh, Zheng-Xin Yong, et al. · arXiv:2202.01279 - [PropBank Comes of Age—Larger, Smarter, and more Diverse](https://md.research.elamur.ai/free/en/papers/pradhan-2022-propbank-comes-age-larger-smarter/) — Sameer Pradhan, Julia Bonn, Skatje Myers, et al. · English - [ProsocialDialog: A Prosocial Backbone for Conversational Agents](https://md.research.elamur.ai/free/en/papers/kim-2022-prosocialdialog-prosocial-backbone-conversational-agents/) — Hyunwoo Kim, Youngjae Yu, Liwei Jiang, et al. · Proceedings of the 2022 Conference on Empirical… - [Putting Context in SNACS: A 5-Way Classification of Adpositional Pragmatic Markers](https://md.research.elamur.ai/free/en/papers/liu-2022-putting-context-snacs-5-way/) — Yang Janet Liu, Jena D. Hwang, Nathan Schneider, et al. · English - [QAFactEval: Improved QA-Based Factual Consistency Evaluation for Summarization](https://md.research.elamur.ai/free/en/papers/fabbri-2022-qafacteval-improved-qa-based-factual/) — Alexander Fabbri, Chien-Sheng Wu, Wenhao Liu, et al. · Proceedings of the 2022 Conference of the North… - [Quality-Aware Decoding for Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/fernandes-2022-quality-aware-decoding-neural-machine/) — Patrick Fernandes, António Farinhas, Ricardo Rei, et al. · Proceedings of the 2022 Conference of the North… - [QuALITY: Question Answering with Long Input Texts, Yes!](https://md.research.elamur.ai/free/en/papers/pang-2022-quality-question-answering-long-input/) — Richard Yuanzhe Pang, Alicia Parrish, Nitish Joshi, et al. · Proceedings of the 2022 Conference of the North… - [Quark: Controllable Text Generation with Reinforced Unlearning](https://md.research.elamur.ai/free/en/papers/lu-2022-quark-controllable-text-generation-reinforced/) — Ximing Lu, Sean Welleck, Jack Hessel, et al. · arXiv:2205.13636 · NeurIPS 2022 (Oral Selection) - [Re2G: Retrieve, Rerank, Generate](https://md.research.elamur.ai/free/en/papers/glass-2022-re2g-retrieve-rerank-generate/) — Michael Glass, Gaetano Rossiello, Md Faisal Mahbub Chowdhury, et al. · Proceedings of the 2022 Conference of the North… - [ReAct: Synergizing Reasoning and Acting in Language Models](https://md.research.elamur.ai/free/en/papers/yao-2022-react-synergizing-reasoning-acting-language/) — Shunyu Yao, Jeffrey Zhao, Dian Yu, et al. · arXiv:2210.03629 - [RealTime QA: What's the Answer Right Now?](https://md.research.elamur.ai/free/en/papers/kasai-2022-realtime-qa-s-answer-right/) — Jungo Kasai, Keisuke Sakaguchi, Yoichi Takahashi, et al. · arXiv:2207.13332 - [Reasoning with Language Model Prompting: A Survey](https://md.research.elamur.ai/free/en/papers/qiao-2022-reasoning-language-model-prompting-survey/) — Shuofei Qiao, Yixin Ou, Ningyu Zhang, et al. · arXiv:2212.09597 - [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 - [Red Teaming Language Models to Reduce Harms: Methods, Scaling Behaviors, and Lessons Learned](https://md.research.elamur.ai/free/en/papers/ganguli-2022-red-teaming-language-models-reduce/) — Deep Ganguli, Liane Lovitt, Jackson Kernion, et al. · arXiv:2209.07858 - [Red Teaming Language Models with Language Models](https://md.research.elamur.ai/free/en/papers/perez-2022-red-teaming-language-models-language/) — Ethan Perez, Saffron Huang, Francis Song, et al. · Proceedings of the 2022 Conference on Empirical… - [Reducing Activation Recomputation in Large Transformer Models](https://md.research.elamur.ai/free/en/papers/korthikanti-2022-reducing-activation-recomputation-large-transformer/) — Vijay Korthikanti, Jared Casper, Sangkug Lym, et al. · arXiv:2205.05198 - [Referring Expressions with Rational Speech Act Framework: A Probabilistic Approach](https://md.research.elamur.ai/free/en/papers/le-2022-referring-expressions-rational-speech-act/) — Hieu Le, Taufiq Daryanto, Fabian Zhafransyah, et al. · English - [Reflect, Not Reflex: Inference-Based Common Ground Improves Dialogue Response Quality](https://md.research.elamur.ai/free/en/papers/zhou-2022-reflect-not-reflex-inference-based/) — Pei Zhou, Hyundong Cho, Pegah Jandaghi, et al. · Proceedings of the 2022 Conference on Empirical… - [Reframing Instructional Prompts to GPTk's Language](https://md.research.elamur.ai/free/en/papers/mishra-2022-reframing-instructional-prompts-gptk-s/) — Swaroop Mishra, Daniel Khashabi, Chitta Baral, et al. · Findings of the Association for Computational… - [Restoring Hebrew Diacritics Without a Dictionary](https://md.research.elamur.ai/free/en/papers/findings-2022-gershuni-restoring-hebrew-diacritics-without-dictionary/) — Elazar Gershuni, Yuval Pinter · Ancient Hebrew - [Results of WMT22 Metrics Shared Task: Stop Using BLEU – Neural Metrics Are Better and More Robust](https://md.research.elamur.ai/free/en/papers/freitag-2022-results-wmt22-metrics-shared-task/) — Markus Freitag, Ricardo Rei, Nitika Mathur, et al. · Machine translation - [Rethinking the Role of Demonstrations: What Makes In-Context Learning Work?](https://md.research.elamur.ai/free/en/papers/min-2022-rethinking-role-demonstrations-what-makes/) — Sewon Min, Xinxi Lyu, Ari Holtzman, et al. · Proceedings of the 2022 Conference on Empirical… - [Revisiting "verbal agreement": The case of Israeli Hebrew](https://md.research.elamur.ai/free/en/papers/lingbulk-2022-shor-revisiting-verbal-agreement-case-israeli/) — Leon Shor · Modern Hebrew - [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 - [Revisiting the Gold Standard: Grounding Summarization Evaluation with Robust Human Evaluation](https://md.research.elamur.ai/free/en/papers/liu-2022-revisiting-gold-standard-grounding-summarization/) — Yixin Liu, Alexander R. Fabbri, Pengfei Liu, et al. · arXiv:2212.07981 - [RLPrompt: Optimizing Discrete Text Prompts with Reinforcement Learning](https://md.research.elamur.ai/free/en/papers/deng-2022-rlprompt-optimizing-discrete-text-prompts/) — Mingkai Deng, Jianyu Wang, Cheng-Ping Hsieh, et al. · Proceedings of the 2022 Conference on Empirical… - [Robust Speech Recognition via Large-Scale Weak Supervision](https://md.research.elamur.ai/free/en/papers/radford-2022-robust-speech-recognition-large-scale/) — Alec Radford, Jong Wook Kim, Tao Xu, et al. · arXiv:2212.04356 - [ROSCOE: A Suite of Metrics for Scoring Step-by-Step Reasoning](https://md.research.elamur.ai/free/en/papers/golovneva-2022-roscoe-suite-metrics-scoring-step/) — Olga Golovneva, Moya Chen, Spencer Poff, et al. · arXiv:2212.07919 - [RST Discourse Parsing with Second-Stage EDU-Level Pre-training](https://md.research.elamur.ai/free/en/papers/yu-2022-rst-discourse-parsing-second-stage/) — Nan Yu, Meishan Zhang, Guohong Fu, et al. · Proceedings of the 60th Annual Meeting of the… - [Samanantar: The Largest Publicly Available Parallel Corpora Collection for 11 Indic Languages](https://md.research.elamur.ai/free/en/papers/ramesh-2022-samanantar-largest-publicly-available-parallel/) — Gowtham Ramesh, Sumanth Doddapaneni, Aravinth Bheemaraj, et al. · Transactions of the Association for… - [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… - [SarcasmDet at SemEval-2022 Task 6: Detecting Sarcasm using Pre-trained Transformers in English and Arabic Languages](https://md.research.elamur.ai/free/en/papers/abdullah-2022-sarcasmdet-semeval-2022-task-6/) — Malak Abdullah, Dalya Alnore, Safa Swedat, et al. · Proceedings of the 16th International Workshop… - [Scalable Diffusion Models with Transformers](https://md.research.elamur.ai/free/en/papers/peebles-2022-scalable-diffusion-models-transformers/) — William Peebles, Saining Xie · arXiv:2212.09748 - [SCROLLS: Standardized CompaRison Over Long Language Sequences](https://md.research.elamur.ai/free/en/papers/shaham-2022-scrolls-standardized-comparison-over-long/) — Uri Shaham, Elad Segal, Maor Ivgi, et al. · Proceedings of the 2022 Conference on Empirical… - [Self-Consistency Improves Chain of Thought Reasoning in Language Models](https://md.research.elamur.ai/free/en/papers/wang-2022-self-consistency-improves-chain-thought/) — Xuezhi Wang, Jason Wei, Dale Schuurmans, et al. · arXiv:2203.11171 - [Self-critiquing models for assisting human evaluators](https://md.research.elamur.ai/free/en/papers/saunders-2022-self-critiquing-models-assisting-human/) — William Saunders, Catherine Yeh, Jeff Wu, et al. · arXiv:2206.05802 - [Semantic properties of English nominal pluralization: Insights from word embeddings](https://md.research.elamur.ai/free/en/papers/shafaei-2022-bajestan-semantic-properties-english-nominal-pluralization/) — Elnaz Shafaei-Bajestan, Masoumeh Moradipour-Tari, Peter Uhrig, et al. · English - [SemEval-2022 Task 11: Multilingual Complex Named Entity Recognition (MultiCoNER)](https://md.research.elamur.ai/free/en/papers/malmasi-2022-semeval-2022-task-11-multilingual/) — Shervin Malmasi, Anjie Fang, Besnik Fetahu, et al. · Proceedings of the 16th International Workshop… - [SemEval-2022 Task 2: Multilingual Idiomaticity Detection and Sentence Embedding](https://md.research.elamur.ai/free/en/papers/madabushi-2022-semeval-2022-task-2-multilingual/) — Harish Tayyar Madabushi, Edward Gow-Smith, Marcos Garcia, et al. · Proceedings of the 16th International Workshop… - [SemEval-2022 Task 3: PreTENS — Evaluating Neural Networks on Presuppositional Semantic Knowledge](https://md.research.elamur.ai/free/en/papers/zamparelli-2022-semeval-2022-task-3-pretens/) — Roberto Zamparelli, Shammur Chowdhury, Dominique Brunato, et al. · English - [SemEval-2022 Task 5: Multimedia Automatic Misogyny Identification](https://md.research.elamur.ai/free/en/papers/fersini-2022-semeval-2022-task-5-multimedia/) — Elisabetta Fersini, Francesca Gasparini, Giulia Rizzi, et al. · Proceedings of the 16th International Workshop… - [SemEval-2022 Task 6: iSarcasmEval, Intended Sarcasm Detection in English and Arabic](https://md.research.elamur.ai/free/en/papers/farha-2022-semeval-2022-task-6-isarcasmeval/) — Ibrahim Abu Farha, Silviu Vlad Oprea, Steven Wilson, et al. · English - [Serial Verb Constructions in North-West Semitic languages: From a synchronic radiation back to the 'Big Bang'](https://md.research.elamur.ai/free/en/papers/hbo-2022-andrason-serial-verb-constructions-north-west/) — Alexander Andrason · Ancient Hebrew - [SGPT: GPT Sentence Embeddings for Semantic Search](https://md.research.elamur.ai/free/en/papers/muennighoff-2022-sgpt-gpt-sentence-embeddings-semantic/) — Niklas Muennighoff · arXiv:2202.08904 - [Siamese AraBERT-LSTM Model based Approach for Arabic Paraphrase Detection](https://md.research.elamur.ai/free/en/papers/mahmoud-2022-siamese-arabert-lstm-model-based/) — Adnen Mahmoud, Mounir Zrigui · Proceedings of the 36th Pacific Asia Conference… - [Socratic Models: Composing Zero-Shot Multimodal Reasoning with Language](https://md.research.elamur.ai/free/en/papers/zeng-2022-socratic-models-composing-zero-shot/) — Andy Zeng, Maria Attarian, Brian Ichter, et al. · arXiv:2204.00598 - [Solving math word problems with process- and outcome-based feedback](https://md.research.elamur.ai/free/en/papers/uesato-2022-solving-math-word-problems-process/) — Jonathan Uesato, Nate Kushman, Ramana Kumar, et al. · arXiv:2211.14275 - [Solving Quantitative Reasoning Problems with Language Models](https://md.research.elamur.ai/free/en/papers/lewkowycz-2022-solving-quantitative-reasoning-problems-language/) — Aitor Lewkowycz, Anders Andreassen, David Dohan, et al. · arXiv:2206.14858 - [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 · Proceedings of the 29th International… - [SPoT: Better Frozen Model Adaptation through Soft Prompt Transfer](https://md.research.elamur.ai/free/en/papers/vu-2022-spot-better-frozen-model-adaptation/) — Tu Vu, Brian Lester, Noah Constant, et al. · Proceedings of the 60th Annual Meeting of the… - [SSR: Utilizing Simplified Stance Reasoning Process for Robust Stance Detection](https://md.research.elamur.ai/free/en/papers/yuan-2022-ssr-utilizing-simplified-stance-reasoning/) — Jianhua Yuan, Yanyan Zhao, Yanyue Lu, et al. · Proceedings of the 29th International… - [Stanceosaurus: Classifying Stance Towards Multilingual Misinformation](https://md.research.elamur.ai/free/en/papers/zheng-2022-stanceosaurus-classifying-stance-towards-multilingual/) — Jonathan Zheng; Ashutosh Baheti; Tarek Naous; Wei Xu;, Alan Ritter · arXiv:2210.15954 - [STaR: Bootstrapping Reasoning With Reasoning](https://md.research.elamur.ai/free/en/papers/zelikman-2022-star-bootstrapping-reasoning-reasoning/) — Eric Zelikman, Yuhuai Wu, Jesse Mu, et al. · Mova's core list - [Statistics on text demarcations and language learners driven by a database of the Hebrew Bible](https://md.research.elamur.ai/free/en/papers/hbo-2022-winther-nielsen-statistics-text-demarcations-language-learners/) — Nicolai Winther-Nielsen · Ancient Hebrew - [Stefan Strelcyn and his archival recordings of oral tradition of Ethiopia made in 1957/58 (including four Amharic love songs)](https://md.research.elamur.ai/free/en/papers/wok-2022-sore-stefan-strelcyn-his-archival-recordings/) — Ewa Wołk-Sore · Studies in African Languages and Cultures - [StepGame: A New Benchmark for Robust Multi-Hop Spatial Reasoning in Texts](https://md.research.elamur.ai/free/en/papers/shi-2022-stepgame-new-benchmark-robust-multi/) — Zhengxiang Shi, Qiang Zhang, Aldo Lipani · Mova's core list - [Structured Dialogue Discourse Parsing](https://md.research.elamur.ai/free/en/papers/chi-2022-structured-dialogue-discourse-parsing/) — Ta-Chung Chi, Alexander Rudnicky · Proceedings of the 23rd Annual Meeting of the… - [Structured Pruning Learns Compact and Accurate Models](https://md.research.elamur.ai/free/en/papers/xia-2022-structured-pruning-learns-compact-accurate/) — Mengzhou Xia, Zexuan Zhong, Danqi Chen · Proceedings of the 60th Annual Meeting of the… - [Style Classification of Rabbinic Literature for Detection of Lost Midrash Tanhuma Material](https://md.research.elamur.ai/free/en/papers/aclbulk-2022-tannor-style-classification-rabbinic-literature-detection/) — Solomon Tannor, Nachum Dershowitz, Moshe Lavee · Ancient Hebrew - [Style transfer and classification in hebrew news items](https://md.research.elamur.ai/free/en/papers/langstream-2022-weingarten-style-transfer-classification-hebrew-news/) — Nir Weingarten · Modern Hebrew - [SummScreen: A Dataset for Abstractive Screenplay Summarization](https://md.research.elamur.ai/free/en/papers/chen-2022-summscreen-dataset-abstractive-screenplay-summarization/) — Mingda Chen, Zewei Chu, Sam Wiseman, et al. · Proceedings of the 60th Annual Meeting of the… - [Survey of Hallucination in Natural Language Generation](https://md.research.elamur.ai/free/en/papers/ji-2022-survey-hallucination-natural-language-generation/) — Ziwei Ji, Nayeon Lee, Rita Frieske, et al. · arXiv:2202.03629 · ACM Computing Surveys (2022) - [Survey of Low-Resource Machine Translation](https://md.research.elamur.ai/free/en/papers/haddow-2022-survey-low-resource-machine-translation/) — Barry Haddow, Rachel Bawden, Antonio Valerio Miceli Barone, et al. · Computational Linguistics - [Symbolic Knowledge Distillation: from General Language Models to Commonsense Models](https://md.research.elamur.ai/free/en/papers/west-2022-symbolic-knowledge-distillation-general-language/) — Peter West, Chandra Bhagavatula, Jack Hessel, et al. · Proceedings of the 2022 Conference of the North… - [SynGEC: Syntax-Enhanced Grammatical Error Correction with a Tailored GEC-Oriented Parser](https://md.research.elamur.ai/free/en/papers/zhang-2022-syngec-syntax-enhanced-grammatical-error/) — Yue Zhang, Bo Zhang, Zhenghua Li, et al. · Proceedings of the 2022 Conference on Empirical… - [Systematic Inequalities in Language Technology Performance across the World's Languages](https://md.research.elamur.ai/free/en/papers/blasi-2022-systematic-inequalities-language-technology-performance/) — Damian Blasi, Antonios Anastasopoulos, Graham Neubig · Proceedings of the 60th Annual Meeting of the… - [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 - [TALM: Tool Augmented Language Models](https://md.research.elamur.ai/free/en/papers/parisi-2022-talm-tool-augmented-language-models/) — Aaron Parisi, Yao Zhao, Noah Fiedel · arXiv:2205.12255 - [TArC: Tunisian Arabish Corpus, First complete release](https://md.research.elamur.ai/free/en/papers/gugliotta-2022-tarc-tunisian-arabish-corpus-first/) — Elisa Gugliotta, Marco Dinarelli · Proceedings of the Thirteenth Language… - [Teaching Arabic Grammar to Non-Native Speaker, between Curriculum and Acting on it (Silsiletu Abjad Series)](https://md.research.elamur.ai/free/en/papers/jankr-2022-teaching-arabic-grammar-non-native/) — Aslam Jankır · Marifetname 9 - [Teaching language models to support answers with verified quotes](https://md.research.elamur.ai/free/en/papers/menick-2022-teaching-language-models-support-answers/) — Jacob Menick, Maja Trebacz, Vladimir Mikulik, et al. · arXiv:2203.11147 - [Text and Code Embeddings by Contrastive Pre-Training](https://md.research.elamur.ai/free/en/papers/neelakantan-2022-text-code-embeddings-contrastive-pre/) — Arvind Neelakantan, Tao Xu, Raul Puri, et al. · arXiv:2201.10005 - [Text Embeddings by Weakly-Supervised Contrastive Pre-training](https://md.research.elamur.ai/free/en/papers/wang-2022-text-embeddings-weakly-supervised-contrastive/) — Liang Wang, Nan Yang, Xiaolong Huang, et al. · arXiv:2212.03533 - [The acquisition of inflectional morphology: The representation of nominal inflections in Amharic speaking children’s speeches](https://md.research.elamur.ai/free/en/papers/alamirew-2022-acquisition-inflectional-morphology-representation-nominal/) — Fikre Diress Alamirew · Journal of Child Language Acquisition and… - [The Aligned Multimodal Movie Treebank: An audio, video, dependency-parse treebank](https://md.research.elamur.ai/free/en/papers/ud-2022-yaari-aligned-multimodal-movie-treebank-audio/) — Adam Yaari, Jan DeWitt, Henry Hu, et al. · English - [The Arabic Language from Its Earliest Times to the Age of Ignorance](https://md.research.elamur.ai/free/en/papers/jnaidi-2022-arabic-language-earliest-times-age/) — Omar Adeeb Shaker Jnaidi · Şarkiyat Mecmuası - [The Arabic Ontology -- An Arabic Wordnet with Ontologically Clean Content](https://md.research.elamur.ai/free/en/papers/jarrar-2022-arabic-ontology-arabic-wordnet-ontologically/) — Mustafa Jarrar · arXiv:2205.09664 · Applied Ontology Journal… - [The Arabic Parallel Gender Corpus 2.0: Extensions and Analyses](https://md.research.elamur.ai/free/en/papers/alhafni-2022-arabic-parallel-gender-corpus-2/) — Bashar Alhafni, Nizar Habash, Houda Bouamor · Proceedings of the Thirteenth Language… - [The Biblical Hebrew particle kî from a discourse analysis perspective](https://md.research.elamur.ai/free/en/papers/hbo-2022-benigni-biblical-hebrew-particle-ky-discourse/) — Antonella Benigni · Ancient Hebrew - [The Change that Matters in Discourse Parsing: Estimating the Impact of Domain Shift on Parser Error](https://md.research.elamur.ai/free/en/papers/atwell-2022-change-that-matters-discourse-parsing/) — Katherine Atwell, Anthony Sicilia, Seong Jae Hwang, et al. · Findings of the Association for Computational… - [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 - 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