---
title: "Papers of 2021 — page 1"
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/"
---
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# Papers of 2021 — page 1

504 papers · [all years](https://md.research.elamur.ai/free/en/papers/)

**1** [2](https://md.research.elamur.ai/free/en/papers/2021/page/2/) … [6](https://md.research.elamur.ai/free/en/papers/2021/page/6/) [next →](https://md.research.elamur.ai/free/en/papers/2021/page/2/)

- ["I'll be there for you": The One with Understanding Indirect Answers](https://md.research.elamur.ai/free/en/papers/damgaard-2021-i-ll-be-there-you/) — Cathrine Damgaard, Paulina Toborek, Trine Eriksen, et al. · English
- ["Talk to me with left, right, and angles": Lexical entrainment in spoken Hebrew dialogue](https://md.research.elamur.ai/free/en/papers/eacl-2021-weise-talk-me-left-right-angles/) — Andreas Weise, Vered Silber-Varod, Anat Lerner, et al. · Modern Hebrew
- ['Between' constructions in Biblical Hebrew](https://md.research.elamur.ai/free/en/papers/hbo-2021-zwarts-between-constructions-biblical-hebrew/) — Joost Zwarts · Ancient Hebrew
- [8-bit Optimizers via Block-wise Quantization](https://md.research.elamur.ai/free/en/papers/dettmers-2021-8-bit-optimizers-block-wise/) — Tim Dettmers, Mike Lewis, Sam Shleifer, et al. · arXiv:2110.02861
- [A Closer Look into the Robustness of Neural Dependency Parsers Using Better Adversarial Examples](https://md.research.elamur.ai/free/en/papers/findings-2021-wang-closer-look-into-robustness-neural/) — Yuxuan Wang, Wanxiang Che, Ivan Titov, et al. · English
- [A Context-Dependent Gated Module for Incorporating Symbolic Semantics into Event Coreference Resolution](https://md.research.elamur.ai/free/en/papers/lai-2021-context-dependent-gated-module-incorporating/) — Tuan Lai, Heng Ji, Trung Bui, et al. · Proceedings of the 2021 Conference of the North…
- [A Contextual Word Embedding for Arabic Sarcasm Detection with Random Forests](https://md.research.elamur.ai/free/en/papers/elgabry-2021-contextual-word-embedding-arabic-sarcasm/) — Hazem Elgabry, Shimaa Attia, Ahmed Abdel-Rahman, et al. · Proceedings of the Sixth Arabic Natural…
- [A Dataset of Information-Seeking Questions and Answers Anchored in Research Papers](https://md.research.elamur.ai/free/en/papers/dasigi-2021-dataset-information-seeking-questions-answers/) — Pradeep Dasigi, Kyle Lo, Iz Beltagy, et al. · Proceedings of the 2021 Conference of the North…
- [A Dependency Treebank for Classical Arabic Poetry](https://md.research.elamur.ai/free/en/papers/ghamdi-2021-dependency-treebank-classical-arabic-poetry/) — Sharefah Al-Ghamdi, Hend Al-Khalifa, Abdulmalik Al-Salman · Proceedings of the Sixth International…
- [A Falta de Pan, Buenas Son Tortas: The Efficacy of Predicted UPOS Tags for Low Resource UD Parsing](https://md.research.elamur.ai/free/en/papers/anderson-2021-falta-de-pan-buenas-son/) — Mark Anderson, Mathieu Dehouck, Carlos Gómez-Rodríguez · Proceedings of the 17th International…
- [A Few Topical Tweets are Enough for Effective User Stance Detection](https://md.research.elamur.ai/free/en/papers/samih-2021-few-topical-tweets-are-enough/) — Younes Samih, Kareem Darwish · Proceedings of the 16th Conference of the…
- [A Fine-Grained Analysis of BERTScore](https://md.research.elamur.ai/free/en/papers/hanna-2021-fine-grained-analysis-bertscore/) — Michael Hanna, Ondřej Bojar · Proceedings of the Sixth Conference on Machine…
- [A Joint Model for Dropped Pronoun Recovery and Conversational Discourse Parsing in Chinese Conversational Speech](https://md.research.elamur.ai/free/en/papers/yang-2021-joint-model-dropped-pronoun-recovery/) — Jingxuan Yang, Kerui Xu, Jun Xu, et al. · Proceedings of the 59th Annual Meeting of the…
- [A Modest Pareto Optimisation Analysis of Dependency Parsers in 2021](https://md.research.elamur.ai/free/en/papers/anderson-2021-modest-pareto-optimisation-analysis-dependency/) — Mark Anderson, Carlos Gómez-Rodríguez · Proceedings of the 17th International…
- [A Multi-Task Learning Framework for Multi-Target Stance Detection](https://md.research.elamur.ai/free/en/papers/li-2021-multi-task-learning-framework-multi/) — Yingjie Li, Cornelia Caragea · Findings of the Association for Computational…
- [A practical introduction to the Rational Speech Act modeling framework](https://md.research.elamur.ai/free/en/papers/scontras-2021-practical-introduction-rational-speech-act/) — Gregory Scontras, Michael Henry Tessler, Michael Franke · English
- [A Recipe For Arbitrary Text Style Transfer with Large Language Models](https://md.research.elamur.ai/free/en/papers/reif-2021-recipe-arbitrary-text-style-transfer/) — Emily Reif, Daphne Ippolito, Ann Yuan, et al. · arXiv:2109.03910
- [A Robustly Optimized BERT Pre-training Approach with Post-training](https://md.research.elamur.ai/free/en/papers/zhuang-2021-robustly-optimized-bert-pre-training/) — Liu Zhuang, Lin Wayne, Shi Ya, et al. · Proceedings of the 20th Chinese National…
- [A semantic comparison of the conclusion of LXX Tobit and Semitic 4QTobit](https://md.research.elamur.ai/free/en/papers/evans-2021-semantic-comparison-conclusion-lxx-tobit/) — Annette H.M. Evans · HTS Teologiese Studies/Theological Studies 77
- [A Study of Acoustic Features in Arabic Speaker Identification under Noisy Environmental Conditions](https://md.research.elamur.ai/free/en/papers/benhafid-2021-study-acoustic-features-arabic-speaker/) — Zhor Benhafid, Kawthar Yasmine Zergat, Abderrahmane Amrouche · arXiv:2110.12304
- [A Survey of Data Augmentation Approaches for NLP](https://md.research.elamur.ai/free/en/papers/feng-2021-survey-data-augmentation-approaches-nlp/) — Steven Y. Feng, Varun Gangal, Jason Wei, et al. · arXiv:2105.03075
- [A Survey on Recent Approaches for Natural Language Processing in Low-Resource Scenarios](https://md.research.elamur.ai/free/en/papers/hedderich-2021-survey-recent-approaches-natural-language/) — Michael A. Hedderich, Lukas Lange, Heike Adel, et al. · Proceedings of the 2021 Conference of the North…
- [A Unified Approach to Discourse Relation Classification in nine Languages](https://md.research.elamur.ai/free/en/papers/varachkina-2021-unified-approach-discourse-relation-classification/) — Hanna Varachkina, Franziska Pannach · Proceedings of the 2nd Shared Task on Discourse…
- [A unified approach to sentence segmentation of punctuated text in many languages](https://md.research.elamur.ai/free/en/papers/acl-2021-wicks-unified-approach-sentence-segmentation-punctuated/) — Rachel Wicks, Matt Post · English
- [A Unified Generative Framework for Aspect-based Sentiment Analysis](https://md.research.elamur.ai/free/en/papers/yan-2021-unified-generative-framework-aspect-based/) — Hang Yan, Junqi Dai, Tuo Ji, et al. · Proceedings of the 59th Annual Meeting of the…
- [A Unified Generative Framework for Various NER Subtasks](https://md.research.elamur.ai/free/en/papers/yan-2021-unified-generative-framework-various-ner/) — Hang Yan, Tao Gui, Junqi Dai, et al. · Proceedings of the 59th Annual Meeting of the…
- [Acquiring a Formality-Informed Lexical Resource for Style Analysis](https://md.research.elamur.ai/free/en/papers/eder-2021-acquiring-formality-informed-lexical-resource/) — Elisabeth Eder, Ulrike Krieg-Holz, Udo Hahn · Machine translation
- [Adapted End-to-End Coreference Resolution System for Anaphoric Identities in Dialogues](https://md.research.elamur.ai/free/en/papers/xu-2021-adapted-end-end-coreference-resolution/) — Liyan Xu, Jinho D. Choi · Proceedings of the CODI-CRAC 2021 Shared Task…
- [AdapterDrop: On the Efficiency of Adapters in Transformers](https://md.research.elamur.ai/free/en/papers/ruckle-2021-adapterdrop-efficiency-adapters-transformers/) — Andreas Rücklé, Gregor Geigle, Max Glockner, et al. · Proceedings of the 2021 Conference on Empirical…
- [Adjectival polarity and the processing of scalar inferences](https://md.research.elamur.ai/free/en/papers/tiel-2021-adjectival-polarity-processing-scalar-inferences/) — Bob van Tiel, Elizabeth Pankratz · English
- [Adversarial Learning for Discourse Rhetorical Structure Parsing](https://md.research.elamur.ai/free/en/papers/zhang-2021-adversarial-learning-discourse-rhetorical-structure/) — Longyin Zhang, Fang Kong, Guodong Zhou · Proceedings of the 59th Annual Meeting of the…
- [Adversarial Learning for Zero-Shot Stance Detection on Social Media](https://md.research.elamur.ai/free/en/papers/allaway-2021-adversarial-learning-zero-shot-stance/) — Emily Allaway, Malavika Srikanth, Kathleen McKeown · Proceedings of the 2021 Conference of the North…
- [Agreeing to Disagree: Annotating Offensive Language Datasets with Annotators' Disagreement](https://md.research.elamur.ai/free/en/papers/leonardelli-2021-agreeing-disagree-annotating-offensive-language/) — Elisa Leonardelli, Stefano Menini, Alessio Palmero Aprosio, et al. · Proceedings of the 2021 Conference on Empirical…
- [AlephBERT: A Hebrew Large Pre-Trained Language Model to Start-off your Hebrew NLP Application With](https://md.research.elamur.ai/free/en/papers/langstream-2021-seker-alephbert-hebrew-large-pre-trained/) — Amit Seker, Elron Bandel, Dan Bareket, et al. · Modern Hebrew
- [Amnesic Probing: Behavioral Explanation with Amnesic Counterfactuals](https://md.research.elamur.ai/free/en/papers/elazar-2021-amnesic-probing-behavioral-explanation-amnesic/) — Yanai Elazar, Shauli Ravfogel, Alon Jacovi, et al. · Transactions of the Association for…
- [An Amharic News Text classification Dataset](https://md.research.elamur.ai/free/en/papers/azime-2021-amharic-news-text-classification-dataset/) — Israel Abebe Azime, Nebil Mohammed · arXiv:2103.05639
- [An Enhanced Corpus for Arabic Newspapers Comments](https://md.research.elamur.ai/free/en/papers/rahab-2021-enhanced-corpus-arabic-newspapers-comments/) — Hichem Rahab, Abdelhafid Zitouni, Mahieddine Djoudi · arXiv:2102.09965 · International Arab Journal…
- [An Error Analysis Framework for Shallow Surface Realization](https://md.research.elamur.ai/free/en/papers/shimorina-2021-error-analysis-framework-shallow-surface/) — Anastasia Shimorina, Yannick Parmentier, Claire Gardent · Machine translation
- [An Explanation of In-context Learning as Implicit Bayesian Inference](https://md.research.elamur.ai/free/en/papers/xie-2021-explanation-context-learning-implicit-bayesian/) — Sang Michael Xie, Aditi Raghunathan, Percy Liang, et al. · arXiv:2111.02080
- [An open access NLP dataset for Arabic dialects : Data collection, labeling, and model construction](https://md.research.elamur.ai/free/en/papers/boujou-2021-open-access-nlp-dataset-arabic/) — ElMehdi Boujou; Hamza Chataoui; Abdellah El Mekki; Saad Benjelloun; Ikram Chairi;, Ismail Berrada · arXiv:2102.11000
- [Analysis of Data Augmentation Methods for Low-Resource Maltese ASR](https://md.research.elamur.ai/free/en/papers/demarco-2021-analysis-data-augmentation-methods-low/) — Andrea DeMarco; Carlos Mena; Albert Gatt; Claudia Borg; Aiden Williams;, Lonneke van der Plas · arXiv:2111.07793
- [Anaphora Resolution in Dialogue: Description of the DFKI-TalkingRobots System for the CODI-CRAC 2021 Shared-Task](https://md.research.elamur.ai/free/en/papers/anikina-2021-anaphora-resolution-dialogue-description-dfki/) — Tatiana Anikina, Cennet Oguz, Natalia Skachkova, et al. · Proceedings of the CODI-CRAC 2021 Shared Task…
- [Anatomy of OntoGUM—Adapting GUM to the OntoNotes Scheme to Evaluate Robustness of SOTA Coreference Algorithms](https://md.research.elamur.ai/free/en/papers/zhu-2021-anatomy-ontogum-adapting-gum-ontonotes/) — Yilun Zhu, Sameer Pradhan, Amir Zeldes · English
- [Annotating and Modeling Fine-grained Factuality in Summarization](https://md.research.elamur.ai/free/en/papers/goyal-2021-annotating-modeling-fine-grained-factuality/) — Tanya Goyal, Greg Durrett · Proceedings of the 2021 Conference of the North…
- [Annotation guidelines of UD and SUD treebanks for spoken corpora: A proposal](https://md.research.elamur.ai/free/en/papers/ud-2021-kahane-annotation-guidelines-ud-sud-treebanks/) — Sylvain Kahane, Bernard Caron, Emmett Strickland, et al. · English
- [Applying Occam's Razor to Transformer-Based Dependency Parsing: What Works, What Doesn't, and What is Really Necessary](https://md.research.elamur.ai/free/en/papers/grunewald-2021-applying-occam-s-razor-transformer/) — Stefan Grünewald, Annemarie Friedrich, Jonas Kuhn · Mova's core list
- [Approximation derived from a scalar exclusive particle associating with covert focus: The case of Hebrew be-sax ha-kol](https://md.research.elamur.ai/free/en/papers/lingbulk-2021-orenstein-approximation-derived-scalar-exclusive-particle/) — Dina Orenstein, Yael Greenberg · Modern Hebrew
- [AraBERT and Farasa Segmentation Based Approach For Sarcasm and Sentiment Detection in Arabic Tweets](https://md.research.elamur.ai/free/en/papers/wadhawan-2021-arabert-farasa-segmentation-based-approach/) — Anshul Wadhawan · Proceedings of the Sixth Arabic Natural…
- [Arabic aspect based sentiment analysis using bidirectional GRU based models](https://md.research.elamur.ai/free/en/papers/m-2021-abdelgwad-arabic-aspect-based-sentiment-analysis/) — Mohammed M.Abdelgwad, Taysir Hassan A Soliman, Ahmed I.Taloba, et al. · arXiv:2101.10539 · Journal of King Saud…
- [Arabic aspect sentiment polarity classification using BERT](https://md.research.elamur.ai/free/en/papers/m-2021-abdelgwad-arabic-aspect-sentiment-polarity-classification/) — Mohammed M.Abdelgwad, Taysir Hassan A Soliman, Ahmed I.Taloba · arXiv:2107.13290 · J Big Data 9, 115 (2022)
- [Arabic Code-Switching Speech Recognition using Monolingual Data](https://md.research.elamur.ai/free/en/papers/ali-2021-arabic-code-switching-speech-recognition/) — Ahmed Ali, Shammur Chowdhury, Amir Hussein, et al. · arXiv:2107.01573
- [Arabic Offensive Language on Twitter: Analysis and Experiments](https://md.research.elamur.ai/free/en/papers/mubarak-2021-arabic-offensive-language-twitter-analysis/) — Hamdy Mubarak, Ammar Rashed, Kareem Darwish, et al. · Proceedings of the Sixth Arabic Natural…
- [Arabic Speech Recognition by End-to-End, Modular Systems and Human](https://md.research.elamur.ai/free/en/papers/hussein-2021-arabic-speech-recognition-end-end/) — Amir Hussein, Shinji Watanabe, Ahmed Ali · arXiv:2101.08454
- [AraCOVID19-MFH: Arabic COVID-19 Multi-label Fake News and Hate Speech Detection Dataset](https://md.research.elamur.ai/free/en/papers/ameur-2021-aracovid19-mfh-arabic-covid-19/) — Mohamed Seghir Hadj Ameur, Hassina Aliane · arXiv:2105.03143
- [AraCOVID19-SSD: Arabic COVID-19 Sentiment and Sarcasm Detection Dataset](https://md.research.elamur.ai/free/en/papers/ameur-2021-aracovid19-ssd-arabic-covid-19/) — Mohamed Seghir Hadj Ameur, Hassina Aliane · arXiv:2110.01948
- [AraStance: A Multi-Country and Multi-Domain Dataset of Arabic Stance Detection for Fact Checking](https://md.research.elamur.ai/free/en/papers/alhindi-2021-arastance-multi-country-multi-domain/) — Tariq Alhindi, Amal Alabdulkarim, Ali Alshehri, et al. · Proceedings of the Fourth Workshop on NLP for…
- [ARBERT & MARBERT: Deep Bidirectional Transformers for Arabic](https://md.research.elamur.ai/free/en/papers/abdul-2021-mageed-arbert-marbert-deep-bidirectional-transformers/) — Muhammad Abdul-Mageed, AbdelRahim Elmadany, El Moatez Billah Nagoudi · arXiv:2101.01785 · ACL-2021 camera ready version
- [Are Ellipses Important for Machine Translation?](https://md.research.elamur.ai/free/en/papers/cl-2021-khullar-are-ellipses-important-machine-translation/) — Payal Khullar · English
- [Are NLP Models really able to Solve Simple Math Word Problems?](https://md.research.elamur.ai/free/en/papers/patel-2021-are-nlp-models-really-able/) — Arkil Patel, Satwik Bhattamishra, Navin Goyal · Mova's core list
- [Are References Really Needed? Unbabel-IST 2021 Submission for the Metrics Shared Task](https://md.research.elamur.ai/free/en/papers/rei-2021-are-references-really-needed-unbabel/) — Ricardo Rei, Ana C Farinha, Chrysoula Zerva, et al. · Proceedings of the Sixth Conference on Machine…
- [ArSarcasm Shared Task: An Ensemble BERT Model for SarcasmDetection in Arabic Tweets](https://md.research.elamur.ai/free/en/papers/bashmal-2021-arsarcasm-shared-task-ensemble-bert/) — Laila Bashmal, Daliyah AlZeer · Proceedings of the Sixth Arabic Natural…
- [ASMDD: Arabic Speech Mispronunciation Detection Dataset](https://md.research.elamur.ai/free/en/papers/aly-2021-asmdd-arabic-speech-mispronunciation-detection/) — Salah A. Aly, Abdelrahman Salah, Hesham M. Eraqi · arXiv:2111.01136
- [Aspect Sentiment Quad Prediction as Paraphrase Generation](https://md.research.elamur.ai/free/en/papers/zhang-2021-aspect-sentiment-quad-prediction-as/) — Wenxuan Zhang, Yang Deng, Xin Li, et al. · Proceedings of the 2021 Conference on Empirical…
- [Aspect-Category-Opinion-Sentiment Quadruple Extraction with Implicit Aspects and Opinions](https://md.research.elamur.ai/free/en/papers/cai-2021-aspect-category-opinion-sentiment-quadruple/) — Hongjie Cai, Rui Xia, Jianfei Yu · Proceedings of the 59th Annual Meeting of the…
- [AStitchInLanguageModels: Dataset and Methods for the Exploration of Idiomaticity in Pre-Trained Language Models](https://md.research.elamur.ai/free/en/papers/madabushi-2021-astitchinlanguagemodels-dataset-methods-exploration-idiomaticity/) — Harish Tayyar Madabushi, Edward Gow-Smith, Carolina Scarton, et al. · Findings of the Association for Computational…
- [Augmented SBERT: Data Augmentation Method for Improving Bi-Encoders for Pairwise Sentence Scoring Tasks](https://md.research.elamur.ai/free/en/papers/thakur-2021-augmented-sbert-data-augmentation-method/) — Nandan Thakur, Nils Reimers, Johannes Daxenberger, et al. · Proceedings of the 2021 Conference of the North…
- [Automated Extraction of Sentencing Decisions from Court Cases in the Hebrew Language](https://md.research.elamur.ai/free/en/papers/aclbulk-2021-wenger-automated-extraction-sentencing-decisions-court/) — Mohr Wenger, Tom Kalir, Noga Berger, et al. · Modern Hebrew
- [Automatic Error Type Annotation for Arabic](https://md.research.elamur.ai/free/en/papers/belkebir-2021-automatic-error-type-annotation-arabic/) — Riadh Belkebir, Nizar Habash · Proceedings of the 25th Conference on…
- [Automatic Expansion and Retargeting of Arabic Offensive Language Training](https://md.research.elamur.ai/free/en/papers/mubarak-2021-automatic-expansion-retargeting-arabic-offensive/) — Hamdy Mubarak, Ahmed Abdelali, Kareem Darwish, et al. · arXiv:2111.09574
- [Automatic Story Generation: Challenges and Attempts](https://md.research.elamur.ai/free/en/papers/alabdulkarim-2021-automatic-story-generation-challenges-attempts/) — Amal Alabdulkarim, Siyan Li, Xiangyu Peng · Proceedings of the Third Workshop on Narrative…
- [BARTScore: Evaluating Generated Text as Text Generation](https://md.research.elamur.ai/free/en/papers/yuan-2021-bartscore-evaluating-generated-text-text/) — Weizhe Yuan, Graham Neubig, Pengfei Liu · arXiv:2106.11520
- [BEIR: A Heterogenous Benchmark for Zero-shot Evaluation of Information Retrieval Models](https://md.research.elamur.ai/free/en/papers/thakur-2021-beir-heterogenous-benchmark-zero/) — Nandan Thakur, Nils Reimers, Andreas Rücklé, et al. · NeurIPS 2021 Datasets and Benchmarks
- [Benchmarking Transformer-based Language Models for Arabic Sentiment and Sarcasm Detection](https://md.research.elamur.ai/free/en/papers/farha-2021-benchmarking-transformer-based-language-models/) — Ibrahim Abu Farha, Walid Magdy · Proceedings of the Sixth Arabic Natural…
- [BERT-based Multi-Task Model for Country and Province Level Modern Standard Arabic and Dialectal Arabic Identification](https://md.research.elamur.ai/free/en/papers/mekki-2021-bert-based-multi-task-model-country/) — Abdellah El Mekki, Abdelkader El Mahdaouy, Kabil Essefar, et al. · arXiv:2106.12495
- [Biaffine Dependency and Semantic Graph Parsing for EnhancedUniversal Dependencies](https://md.research.elamur.ai/free/en/papers/attardi-2021-biaffine-dependency-semantic-graph-parsing/) — Giuseppe Attardi, Daniele Sartiano, Maria Simi · Proceedings of the 17th International…
- [Bibliography of Ethiopian Semitic, Cushitic, and Omotic Linguistics XXIII: 2019](https://md.research.elamur.ai/free/en/papers/bulakh-2021-bibliography-ethiopian-semitic-cushitic-omotic/) — Maria Bulakh, Susanne Hummel, Francesca Panini · Aethiopica 23
- [BitFit: Simple Parameter-efficient Fine-tuning for Transformer-based Masked Language-models](https://md.research.elamur.ai/free/en/papers/ben-2021-zaken-bitfit-simple-parameter-efficient-fine/) — Elad Ben-Zaken, Shauli Ravfogel, Yoav Goldberg · arXiv:2106.10199
- [BPoMP: The Benchmark of Poetic Minimal Pairs – Limericks, Rhyme, and Narrative Coherence](https://md.research.elamur.ai/free/en/papers/abdibayev-2021-bpomp-benchmark-poetic-minimal-pairs/) — Almas Abdibayev, Allen Riddell, Daniel Rockmore · Proceedings of the International Conference on…
- [Bridging Resolution: Making Sense of the State of the Art](https://md.research.elamur.ai/free/en/papers/kobayashi-2021-bridging-resolution-making-sense-state/) — Hideo Kobayashi, Vincent Ng · Proceedings of the 2021 Conference of the North…
- [Calibrate Before Use: Improving Few-Shot Performance of Language Models](https://md.research.elamur.ai/free/en/papers/zhao-2021-calibrate-before-use-improving-few/) — Tony Z. Zhao, Eric Wallace, Shi Feng, et al. · arXiv:2102.09690
- [Calliar: An Online Handwritten Dataset for Arabic Calligraphy](https://md.research.elamur.ai/free/en/papers/alyafeai-2021-calliar-online-handwritten-dataset-arabic/) — Zaid Alyafeai, Maged S. Al-shaibani, Mustafa Ghaleb, et al. · arXiv:2106.10745
- [Can predicate-argument relationships be extracted from UD trees?](https://md.research.elamur.ai/free/en/papers/ek-2021-can-predicate-argument-relationships-be/) — Adam Ek, Jean-Philippe Bernardy, Stergios Chatzikyriakidis · English
- [Can RNNs trained on harder subject-verb agreement instances still perform well on easier ones?](https://md.research.elamur.ai/free/en/papers/bansal-2021-can-rnns-trained-harder-subject/) — Hritik Bansal, Gantavya Bhatt, Sumeet Agarwal · Proceedings of the Society for Computation in…
- [Carbon Emissions and Large Neural Network Training](https://md.research.elamur.ai/free/en/papers/patterson-2021-carbon-emissions-large-neural-network/) — David Patterson, Joseph Gonzalez, Quoc Le, et al. · arXiv:2104.10350
- [Causation (and Some Other) Paraphrasing Patterns in L1 English. A Case Study](https://md.research.elamur.ai/free/en/papers/milicevic-2021-causation-some-other-paraphrasing-patterns/) — Jasmina Milićević · English
- [Challenges in Automated Debiasing for Toxic Language Detection](https://md.research.elamur.ai/free/en/papers/zhou-2021-challenges-automated-debiasing-toxic-language/) — Xuhui Zhou, Maarten Sap, Swabha Swayamdipta, et al. · Proceedings of the 16th Conference of the…
- [Challenges in Detoxifying Language Models](https://md.research.elamur.ai/free/en/papers/welbl-2021-challenges-detoxifying-language-models/) — Johannes Welbl, Amelia Glaese, Jonathan Uesato, et al. · Findings of the Association for Computational…
- [Chandler: An Explainable Sarcastic Response Generator](https://md.research.elamur.ai/free/en/papers/oprea-2021-chandler-explainable-sarcastic-response-generator/) — Silviu Oprea, Steven Wilson, Walid Magdy · Proceedings of the 2021 Conference on Empirical…
- [ChEMU-Ref: A Corpus for Modeling Anaphora Resolution in the Chemical Domain](https://md.research.elamur.ai/free/en/papers/fang-2021-chemu-ref-corpus-modeling-anaphora/) — Biaoyan Fang, Christian Druckenbrodt, Saber A Akhondi, et al. · Proceedings of the 16th Conference of the…
- [CLIFF: Contrastive Learning for Improving Faithfulness and Factuality in Abstractive Summarization](https://md.research.elamur.ai/free/en/papers/cao-2021-cliff-contrastive-learning-improving-faithfulness/) — Shuyang Cao, Lu Wang · Proceedings of the 2021 Conference on Empirical…
- [CLIPScore: A Reference-free Evaluation Metric for Image Captioning](https://md.research.elamur.ai/free/en/papers/hessel-2021-clipscore-reference-free-evaluation-metric/) — Jack Hessel, Ari Holtzman, Maxwell Forbes, et al. · Proceedings of the 2021 Conference on Empirical…
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