--- title: "Papers of 2021 — page 2" description: "Papers of 2021: 504 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/2021/page/2/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/2021/page/2/) [home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / 2021 # Papers of 2021 — page 2 504 papers · [all years](https://md.research.elamur.ai/free/en/papers/) [← prev](https://md.research.elamur.ai/free/en/papers/2021/) [1](https://md.research.elamur.ai/free/en/papers/2021/) **2** [3](https://md.research.elamur.ai/free/en/papers/2021/page/3/) … [6](https://md.research.elamur.ai/free/en/papers/2021/page/6/) [next →](https://md.research.elamur.ai/free/en/papers/2021/page/3/) - [ConSERT: A Contrastive Framework for Self-Supervised Sentence Representation Transfer](https://md.research.elamur.ai/free/en/papers/yan-2021-consert-contrastive-framework-self-supervised/) — Yuanmeng Yan, Rumei Li, Sirui Wang, et al. · Proceedings of the 59th Annual Meeting of the… - [Constrained Multi-Task Learning for Event Coreference Resolution](https://md.research.elamur.ai/free/en/papers/lu-2021-constrained-multi-task-learning-event/) — Jing Lu, Vincent Ng · Proceedings of the 2021 Conference of the North… - [Context Tracking Network: Graph-based Context Modeling for Implicit Discourse Relation Recognition](https://md.research.elamur.ai/free/en/papers/zhang-2021-context-tracking-network-graph-based/) — Yingxue Zhang, Fandong Meng, Peng Li, et al. · Proceedings of the 2021 Conference of the North… - [Contextualized Perturbation for Textual Adversarial Attack](https://md.research.elamur.ai/free/en/papers/li-2021-contextualized-perturbation-textual-adversarial-attack/) — Dianqi Li, Yizhe Zhang, Hao Peng, et al. · Proceedings of the 2021 Conference of the North… - [ContractNLI: A Dataset for Document-level Natural Language Inference for Contracts](https://md.research.elamur.ai/free/en/papers/koreeda-2021-contractnli-dataset-document-level-natural/) — Yuta Koreeda, Christopher Manning · Findings of the Association for Computational… - [Contrastive Learning for Many-to-many Multilingual Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/pan-2021-contrastive-learning-many-many-multilingual/) — Xiao Pan, Mingxuan Wang, Liwei Wu, et al. · Proceedings of the 59th Annual Meeting of the… - [Controllable Text Simplification with Explicit Paraphrasing](https://md.research.elamur.ai/free/en/papers/maddela-2021-controllable-text-simplification-explicit-paraphrasing/) — Mounica Maddela, Fernando Alva-Manchego, Wei Xu · Proceedings of the 2021 Conference of the North… - [Conundrums in Event Coreference Resolution: Making Sense of the State of the Art](https://md.research.elamur.ai/free/en/papers/lu-2021-conundrums-event-coreference-resolution-making/) — Jing Lu, Vincent Ng · Proceedings of the 2021 Conference on Empirical… - [Coordinate Constructions in English Enhanced Universal Dependencies: Analysis and Computational Modeling](https://md.research.elamur.ai/free/en/papers/grunewald-2021-coordinate-constructions-english-enhanced-universal/) — Stefan Grünewald, Prisca Piccirilli, Annemarie Friedrich · Mova's core list - [Coreference meets Universal Dependencies – a pilot experiment on harmonizing coreference datasets for 11 languages](https://md.research.elamur.ai/free/en/papers/nedoluzhko-2021-coreference-meets-universal-dependencies/) — Anna Nedoluzhko, Michal Novák, Martin Popel, et al. · English - [Coreference Reasoning in Machine Reading Comprehension](https://md.research.elamur.ai/free/en/papers/wu-2021-coreference-reasoning-machine-reading-comprehension/) — Mingzhu Wu, Nafise Sadat Moosavi, Dan Roth, et al. · Proceedings of the 59th Annual Meeting of the… - [Coreference Resolution for the Biomedical Domain: A Survey](https://md.research.elamur.ai/free/en/papers/lu-2021-coreference-resolution-biomedical-domain-survey/) — Pengcheng Lu, Massimo Poesio · Proceedings of the Fourth Workshop on… - [Coreference Resolution without Span Representations](https://md.research.elamur.ai/free/en/papers/kirstain-2021-coreference-resolution-without-span-representations/) — Yuval Kirstain, Ori Ram, Omer Levy · Proceedings of the 59th Annual Meeting of the… - [Coreference-Aware Dialogue Summarization](https://md.research.elamur.ai/free/en/papers/liu-2021-coreference-aware-dialogue-summarization/) — Zhengyuan Liu, Ke Shi, Nancy Chen · Proceedings of the 22nd Annual Meeting of the… - [Correcting Arabic Soft Spelling Mistakes using BiLSTM-based Machine Learning](https://md.research.elamur.ai/free/en/papers/abandah-2021-correcting-arabic-soft-spelling-mistakes/) — Gheith A. Abandah, Ashraf Suyyagh, Mohammed Z. Khedher · arXiv:2108.01141 - [Counting the Jeremiahs: Machine Learning and the Jeremiah Narratives](https://md.research.elamur.ai/free/en/papers/hbo-2021-campbell-counting-jeremiahs-machine-learning-jeremiah/) — Nicholas J. Campbell · Ancient Hebrew - [COVID-Fact: Fact Extraction and Verification of Real-World Claims on COVID-19 Pandemic](https://md.research.elamur.ai/free/en/papers/saakyan-2021-covid-fact-fact-extraction-verification/) — Arkadiy Saakyan, Tuhin Chakrabarty, Smaranda Muresan · Proceedings of the 59th Annual Meeting of the… - [CREAD: Combined Resolution of Ellipses and Anaphora in Dialogues](https://md.research.elamur.ai/free/en/papers/tseng-2021-cread-combined-resolution-ellipses-anaphora/) — Bo-Hsiang Tseng, Shruti Bhargava, Jiarui Lu, et al. · Proceedings of the 2021 Conference of the North… - [Cross-Cultural Similarity Features for Cross-Lingual Transfer Learning of Pragmatically Motivated Tasks](https://md.research.elamur.ai/free/en/papers/sun-2021-cross-cultural-similarity-features-cross/) — Jimin Sun, Hwijeen Ahn, Chan Young Park, et al. · Proceedings of the 16th Conference of the… - [Cross-document Coreference Resolution over Predicted Mentions](https://md.research.elamur.ai/free/en/papers/cattan-2021-cross-document-coreference-resolution-over/) — Arie Cattan, Alon Eirew, Gabriel Stanovsky, et al. · Findings of the Association for Computational… - [Cross-Domain Label-Adaptive Stance Detection](https://md.research.elamur.ai/free/en/papers/hardalov-2021-cross-domain-label-adaptive-stance/) — Momchil Hardalov, Arnav Arora, Preslav Nakov, et al. · Proceedings of the 2021 Conference on Empirical… - [Cross-linguistically Consistent Semantic and Syntactic Annotation of Child-directed Speech](https://md.research.elamur.ai/free/en/papers/langstream-2021-szubert-cross-linguistically-consistent-semantic-syntactic/) — Ida Szubert, Omri Abend, Nathan Schneider, et al. · Modern Hebrew - [CUAD: An Expert-Annotated NLP Dataset for Legal Contract Review](https://md.research.elamur.ai/free/en/papers/hendrycks-2021-cuad-expert-annotated-nlp-dataset/) — Dan Hendrycks, Collin Burns, Anya Chen, et al. · arXiv:2103.06268 - [CVAE-based Re-anchoring for Implicit Discourse Relation Classification](https://md.research.elamur.ai/free/en/papers/dou-2021-cvae-based-re-anchoring-implicit/) — Zujun Dou, Yu Hong, Yu Sun, et al. · Findings of the Association for Computational… - [Datasets: A Community Library for Natural Language Processing](https://md.research.elamur.ai/free/en/papers/lhoest-2021-datasets-community-library-natural-language/) — Quentin Lhoest, Albert Villanova del Moral, Yacine Jernite, et al. · arXiv:2109.02846 - [DeBERTaV3: Improving DeBERTa using ELECTRA-Style Pre-Training with Gradient-Disentangled Embedding Sharing](https://md.research.elamur.ai/free/en/papers/he-2021-debertav3-improving-deberta-using-electra/) — Pengcheng He, Jianfeng Gao, Weizhu Chen · arXiv:2111.09543 - [Debiasing Pre-trained Contextualised Embeddings](https://md.research.elamur.ai/free/en/papers/kaneko-2021-debiasing-pre-trained-contextualised-embeddings/) — Masahiro Kaneko, Danushka Bollegala · Proceedings of the 16th Conference of the… - [Deciphering Undersegmented Ancient Scripts Using Phonetic Prior](https://md.research.elamur.ai/free/en/papers/tacl-2021-luo-deciphering-undersegmented-ancient-scripts-phonetic/) — Jiaming Luo, Frederik Hartmann, Enrico Santus, et al. · Semitic languages - [DeCLUTR: Deep Contrastive Learning for Unsupervised Textual Representations](https://md.research.elamur.ai/free/en/papers/giorgi-2021-declutr-deep-contrastive-learning-unsupervised/) — John Giorgi, Osvald Nitski, Bo Wang, et al. · Proceedings of the 59th Annual Meeting of the… - [Deep Multi-Task Model for Sarcasm Detection and Sentiment Analysis in Arabic Language](https://md.research.elamur.ai/free/en/papers/mahdaouy-2021-deep-multi-task-model-sarcasm/) — Abdelkader El Mahdaouy, Abdellah El Mekki, Kabil Essefar, et al. · Proceedings of the Sixth Arabic Natural… - [DeepBlueAI at WANLP-EACL2021 task 2: A Deep Ensemble-based Method for Sarcasm and Sentiment Detection in Arabic](https://md.research.elamur.ai/free/en/papers/song-2021-deepblueai-wanlp-eacl2021-task-2/) — Bingyan Song, Chunguang Pan, Shengguang Wang, et al. · Proceedings of the Sixth Arabic Natural… - [Defining Definiteness in Turoyo](https://md.research.elamur.ai/free/en/papers/lingbulk-2021-yifrach-defining-definiteness-turoyo/) — Miriam Yifrach, Elizabeth Coppock · Aramaic - [Dependency Parsing Evaluation for Low-resource Spontaneous Speech](https://md.research.elamur.ai/free/en/papers/ud-2021-liu-dependency-parsing-evaluation-low-resource/) — Zoey Liu, Emily Prud'hommeaux · English - [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. · Findings of the Association for Computational… - [Development of the Arabic Grammar (Nahwu) Textbook Al-Ajurumiyyah Al-Qur'aniyyah based on the Scaffolding-Structure](https://md.research.elamur.ai/free/en/papers/muzdalifah-2021-development-arabic-grammar-nahwu-textbook/) — Zahrotul Muzdalifah, Moh. Khasairi, Kholisin Kholisin · Izdihar 4 - [DExperts: Decoding-Time Controlled Text Generation with Experts and Anti-Experts](https://md.research.elamur.ai/free/en/papers/liu-2021-dexperts-decoding-time-controlled-text/) — Alisa Liu, Maarten Sap, Ximing Lu, et al. · Proceedings of the 59th Annual Meeting of the… - [DialogSum: A Real-Life Scenario Dialogue Summarization Dataset](https://md.research.elamur.ai/free/en/papers/chen-2021-dialogsum-real-life-scenario-dialogue/) — Yulong Chen, Yang Liu, Liang Chen, et al. · Findings of the Association for Computational… - [Dialogue Act-based Breakdown Detection in Negotiation Dialogues](https://md.research.elamur.ai/free/en/papers/yamaguchi-2021-dialogue-act-based-breakdown-detection/) — Atsuki Yamaguchi, Kosui Iwasa, Katsuhide Fujita · Proceedings of the 16th Conference of the… - [Differential Object Marking in Modern Hebrew: Definiteness and partitivity](https://md.research.elamur.ai/free/en/papers/lingbulk-2021-hacohen-differential-object-marking-modern-hebrew/) — Aviya Hacohen, Olga Kagan, Dana Plaut · Modern Hebrew - [Directed Acyclic Graph Network for Conversational Emotion Recognition](https://md.research.elamur.ai/free/en/papers/shen-2021-directed-acyclic-graph-network-conversational/) — Weizhou Shen, Siyue Wu, Yunyi Yang, et al. · Proceedings of the 59th Annual Meeting of the… - [discopy: A Neural System for Shallow Discourse Parsing](https://md.research.elamur.ai/free/en/papers/knaebel-2021-discopy-neural-system-shallow-discourse/) — René Knaebel · Proceedings of the 2nd Workshop on… - [Do UD Trees Match Mention Spans in Coreference Annotations?](https://md.research.elamur.ai/free/en/papers/coref-2021-popel-do-ud-trees-match-mention/) — Martin Popel, Zdeněk Žabokrtský, Anna Nedoluzhko, et al. · English - [DocNLI: A Large-scale Dataset for Document-level Natural Language Inference](https://md.research.elamur.ai/free/en/papers/yin-2021-docnli-large-scale-dataset-document/) — Wenpeng Yin, Dragomir Radev, Caiming Xiong · Findings of the Association for Computational… - [Document-Level Event Argument Extraction by Conditional Generation](https://md.research.elamur.ai/free/en/papers/li-2021-document-level-event-argument-extraction/) — Sha Li, Heng Ji, Jiawei Han · Proceedings of the 2021 Conference of the North… - [Domain-Aware Dependency Parsing for Questions](https://md.research.elamur.ai/free/en/papers/garimella-2021-domain-aware-dependency-parsing-questions/) — Aparna Garimella, Laura Chiticariu, Yunyao Li · English - [DziriBERT: a Pre-trained Language Model for the Algerian Dialect](https://md.research.elamur.ai/free/en/papers/abdaoui-2021-dziribert-pre-trained-language-model/) — Amine Abdaoui, Mohamed Berrimi, Mourad Oussalah, et al. · arXiv:2109.12346 - [Effect of Word Embedding Variable Parameters on Arabic Sentiment Analysis Performance](https://md.research.elamur.ai/free/en/papers/alnawas-2021-effect-word-embedding-variable-parameters/) — Anwar Alnawas, Nursal ARICI · arXiv:2101.02906 - [Efficient Attentions for Long Document Summarization](https://md.research.elamur.ai/free/en/papers/huang-2021-efficient-attentions-long-document-summarization/) — Luyang Huang, Shuyang Cao, Nikolaus Parulian, et al. · Proceedings of the 2021 Conference of the North… - [Efficient Measuring of Readability to Improve Documents Accessibility for Arabic Language Learners](https://md.research.elamur.ai/free/en/papers/bessou-2021-efficient-measuring-readability-improve-documents/) — Sadik Bessou, Ghozlane Chenni · arXiv:2109.08648 - [Efficiently Teaching an Effective Dense Retriever with Balanced Topic Aware Sampling](https://md.research.elamur.ai/free/en/papers/hofstatter-2021-efficiently-teaching-effective-dense-retriever/) — Sebastian Hofstatter, Sheng-Chieh Lin, Jheng-Hong Yang, et al. · arXiv:2104.06967 - [Ellipsis Resolution as Question Answering: An Evaluation](https://md.research.elamur.ai/free/en/papers/eacl-2021-aralikatte-ellipsis-resolution-as-question-answering/) — Rahul Aralikatte, Matthew Lamm, Daniel Hardt, et al. · English - [Emerging Properties in Self-Supervised Vision Transformers](https://md.research.elamur.ai/free/en/papers/caron-2021-emerging-properties-self-supervised-vision/) — Mathilde Caron, Hugo Touvron, Ishan Misra, et al. · arXiv:2104.14294 - [Empirical evaluation of shallow and deep learning classifiers for Arabic sentiment analysis](https://md.research.elamur.ai/free/en/papers/nassif-2021-empirical-evaluation-shallow-deep-learning/) — Ali Bou Nassif, Abdollah Masoud Darya, Ashraf Elnagar · arXiv:2112.00534 · ACM Trans. Asian Low-Resour.… - [English Machine Reading Comprehension Datasets: A Survey](https://md.research.elamur.ai/free/en/papers/dzendzik-2021-english-machine-reading-comprehension-datasets/) — Daria Dzendzik, Jennifer Foster, Carl Vogel · English - [Enhancing Zero-shot and Few-shot Stance Detection with Commonsense Knowledge Graph](https://md.research.elamur.ai/free/en/papers/liu-2021-enhancing-zero-shot-few-shot/) — Rui Liu, Zheng Lin, Yutong Tan, et al. · Findings of the Association for Computational… - [Entity-Based Knowledge Conflicts in Question Answering](https://md.research.elamur.ai/free/en/papers/longpre-2021-entity-based-knowledge-conflicts-question/) — Shayne Longpre, Kartik Perisetla, Anthony Chen, et al. · arXiv:2109.05052 - [Entity-level Factual Consistency of Abstractive Text Summarization](https://md.research.elamur.ai/free/en/papers/nan-2021-entity-level-factual-consistency-abstractive/) — Feng Nan, Ramesh Nallapati, Zhiguo Wang, et al. · Proceedings of the 16th Conference of the… - [ERNIE 3.0: Large-scale Knowledge Enhanced Pre-training for Language Understanding and Generation](https://md.research.elamur.ai/free/en/papers/sun-2021-ernie-3-0-large/) — Yu Sun, Shuohuan Wang, Shikun Feng, et al. · arXiv:2107.02137 - [Ethical and social risks of harm from Language Models](https://md.research.elamur.ai/free/en/papers/weidinger-2021-ethical-social-risks-harm-language/) — Laura Weidinger, John Mellor, Maribeth Rauh, et al. · arXiv:2112.04359 - [Evaluating Large Language Models Trained on Code](https://md.research.elamur.ai/free/en/papers/chen-2021-evaluating-large-language-models-trained/) — Mark Chen, Jerry Tworek, Heewoo Jun, et al. · arXiv:2107.03374 - [Evaluating Text Generation from Discourse Representation Structures](https://md.research.elamur.ai/free/en/papers/wang-2021-evaluating-text-generation-discourse-representation/) — Chunliu Wang, Rik van Noord, Arianna Bisazza, et al. · Machine translation - [Evaluating the Evaluation Metrics for Style Transfer: A Case Study in Multilingual Formality Transfer](https://md.research.elamur.ai/free/en/papers/briakou-2021-evaluating-evaluation-metrics-style-transfer/) — Eleftheria Briakou, Sweta Agrawal, Joel Tetreault, et al. · Machine translation - [Evaluating Universal Dependency Parser Recovery of Predicate Argument Structure via CompChain Analysis](https://md.research.elamur.ai/free/en/papers/ud-2021-indurkhya-evaluating-universal-dependency-parser-recovery/) — Sagar Indurkhya, Beracah Yankama, Robert C. Berwick · English - [Evaluating Various Tokenizers for Arabic Text Classification](https://md.research.elamur.ai/free/en/papers/alyafeai-2021-evaluating-various-tokenizers-arabic-text/) — Zaid Alyafeai, Maged S. Al-shaibani, Mustafa Ghaleb, et al. · arXiv:2106.07540 - [Event Coreference Data (Almost) for Free: Mining Hyperlinks from Online News](https://md.research.elamur.ai/free/en/papers/bugert-2021-event-coreference-data-almost-free/) — Michael Bugert, Iryna Gurevych · Proceedings of the 2021 Conference on Empirical… - [Exemplification Modeling: Can You Give Me an Example, Please?](https://md.research.elamur.ai/free/en/papers/barba-2021-exemplification-modeling/) — Edoardo Barba, Luigi Procopio, Caterina Lacerra · IJCAI 2021 - [Expanding the JHU Bible Corpus for Machine Translation of the Indigenous Languages of North America](https://md.research.elamur.ai/free/en/papers/nicolai-2021-expanding-jhu-bible-corpus-machine/) — Garrett Nicolai, Edith Coates, Ming Zhang, et al. · Machine translation - [Experts, Errors, and Context: A Large-Scale Study of Human Evaluation for Machine Translation](https://md.research.elamur.ai/free/en/papers/freitag-2021-experts-errors-context-large-scale/) — Markus Freitag, George Foster, David Grangier, et al. · Machine translation - [Explaining Answers with Entailment Trees](https://md.research.elamur.ai/free/en/papers/dalvi-2021-explaining-answers-entailment-trees/) — Bhavana Dalvi, Peter Jansen, Oyvind Tafjord, et al. · arXiv:2104.08661 - [Explanations for CommonsenseQA: New Dataset and Models](https://md.research.elamur.ai/free/en/papers/aggarwal-2021-explanations-commonsenseqa-new-dataset-models/) — Shourya Aggarwal, Divyanshu Mandowara, Vishwajeet Agrawal, et al. · Proceedings of the 59th Annual Meeting of the… - [Exploiting Cloze-Questions for Few-Shot Text Classification and Natural Language Inference](https://md.research.elamur.ai/free/en/papers/schick-2021-exploiting-cloze-questions-few-shot/) — Timo Schick, Hinrich Schütze · Proceedings of the 16th Conference of the… - [Exploiting Document Structures and Cluster Consistencies for Event Coreference Resolution](https://md.research.elamur.ai/free/en/papers/tran-2021-exploiting-document-structures-cluster-consistencies/) — Hieu Minh Tran, Duy Phung, Thien Huu Nguyen · Proceedings of the 59th Annual Meeting of the… - [Exploratory Arabic Offensive Language Dataset Analysis](https://md.research.elamur.ai/free/en/papers/husain-2021-exploratory-arabic-offensive-language-dataset/) — Fatemah Husain, Ozlem Uzuner · arXiv:2101.11434 - [Exploring Pre-Trained Transformers and Bilingual Transfer Learning for Arabic Coreference Resolution](https://md.research.elamur.ai/free/en/papers/min-2021-exploring-pre-trained-transformers-bilingual/) — Bonan Min · Proceedings of the Fourth Workshop on… - [Extractive Summarization Considering Discourse and Coreference Relations based on Heterogeneous Graph](https://md.research.elamur.ai/free/en/papers/huang-2021-extractive-summarization-considering-discourse-coreference/) — Yin Jou Huang, Sadao Kurohashi · Proceedings of the 16th Conference of the… - [Facebook AI's WMT21 News Translation Task Submission](https://md.research.elamur.ai/free/en/papers/tran-2021-facebook-ai-s-wmt21-news/) — Chau Tran, Shruti Bhosale, James Cross, et al. · Proceedings of the Sixth Conference on Machine… - [Factual Probing Is MASK: Learning vs. Learning to Recall](https://md.research.elamur.ai/free/en/papers/zhong-2021-factual-probing-is-mask-learning/) — Zexuan Zhong, Dan Friedman, Danqi Chen · Proceedings of the 2021 Conference of the North… - [False resultatives: The interaction of agreement and creation in Northern Galilee Levantine Arabic](https://md.research.elamur.ai/free/en/papers/lingbulk-2021-rapoport-false-resultatives-interaction-agreement-creation/) — Tova Rapoport, Aya Zarka · Semitic languages - [Familiar vs. unique in a diachronic perspective. Case study of the rise of the definite article in North Germanic](https://md.research.elamur.ai/free/en/papers/piotrowska-2021-familiar-vs-unique-diachronic-perspective/) — Alicja Piotrowska, Dominika Skrzypek · English - [FantasyCoref: Coreference Resolution on Fantasy Literature Through Omniscient Writer's Point of View](https://md.research.elamur.ai/free/en/papers/han-2021-fantasycoref-coreference-resolution-fantasy-literature/) — Sooyoun Han, Sumin Seo, Minji Kang, et al. · Proceedings of the Fourth Workshop on… - [Few-NERD: A Few-shot Named Entity Recognition Dataset](https://md.research.elamur.ai/free/en/papers/ding-2021-few-nerd-few-shot-named/) — Ning Ding, Guangwei Xu, Yulin Chen, et al. · Proceedings of the 59th Annual Meeting of the… - [Few-shot Learning with Multilingual Language Models](https://md.research.elamur.ai/free/en/papers/lin-2021-few-shot-learning-multilingual-language/) — Xi Victoria Lin, Todor Mihaylov, Mikel Artetxe, et al. · arXiv:2112.10668 - [Filling the Gaps in Ancient Akkadian Texts: A Masked Language Modelling Approach](https://md.research.elamur.ai/free/en/papers/emnlp-2021-lazar-filling-gaps-ancient-akkadian-texts/) — Koren Lazar, Benny Saret, Asaf Yehudai, et al. · Semitic languages - [Finding Variants for Construction-Based Dialectometry: A Corpus-Based Approach to Regional CxGs](https://md.research.elamur.ai/free/en/papers/dunn-2021-finding-variants-construction-based-dialectometry/) — Jonathan Dunn · English - [Findings of the 2021 Conference on Machine Translation (WMT21)](https://md.research.elamur.ai/free/en/papers/akhbardeh-2021-findings-2021-conference-machine-translation/) — Farhad Akhbardeh, Arkady Arkhangorodsky, Magdalena Biesialska, et al. · Proceedings of the Sixth Conference on Machine… - [Findings of the AmericasNLP 2021 Shared Task on Open Machine Translation for Indigenous Languages of the Americas](https://md.research.elamur.ai/free/en/papers/mager-2021-findings-americasnlp-2021-shared-task/) — Manuel Mager, Arturo Oncevay, Abteen Ebrahimi, et al. · Proceedings of the First Workshop on Natural… - [Findings of the Shared Task on Hope Speech Detection for Equality, Diversity, and Inclusion](https://md.research.elamur.ai/free/en/papers/chakravarthi-2021-findings-shared-task-hope-speech/) — Bharathi Raja Chakravarthi, Vigneshwaran Muralidaran · Proceedings of the First Workshop on Language… - [Findings of the WMT 2021 Shared Task on Quality Estimation](https://md.research.elamur.ai/free/en/papers/specia-2021-findings-wmt-2021-shared-task/) — Lucia Specia, Frédéric Blain, Marina Fomicheva, et al. · Proceedings of the Sixth Conference on Machine… - [FinQA: A Dataset of Numerical Reasoning over Financial Data](https://md.research.elamur.ai/free/en/papers/chen-2021-finqa-dataset-numerical-reasoning-over/) — Zhiyu Chen, Wenhu Chen, Charese Smiley, et al. · Proceedings of the 2021 Conference on Empirical… - [Fisseha G. Demoze and William H. Armstrong. 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