--- title: "Papers of 2021 — page 4" 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/4/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/2021/page/4/) [home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / 2021 # Papers of 2021 — page 4 504 papers · [all years](https://md.research.elamur.ai/free/en/papers/) [← prev](https://md.research.elamur.ai/free/en/papers/2021/page/3/) [1](https://md.research.elamur.ai/free/en/papers/2021/) [2](https://md.research.elamur.ai/free/en/papers/2021/page/2/) [3](https://md.research.elamur.ai/free/en/papers/2021/page/3/) **4** [5](https://md.research.elamur.ai/free/en/papers/2021/page/5/) [6](https://md.research.elamur.ai/free/en/papers/2021/page/6/) [next →](https://md.research.elamur.ai/free/en/papers/2021/page/5/) - [MultiEURLEX - A multi-lingual and multi-label legal document classification dataset for zero-shot cross-lingual transfer](https://md.research.elamur.ai/free/en/papers/chalkidis-2021-multieurlex-multi-lingual-multi-label/) — Ilias Chalkidis, Manos Fergadiotis, Ion Androutsopoulos · Proceedings of the 2021 Conference on Empirical… - [Multilingual Coreference Resolution with Harmonized Annotations](https://md.research.elamur.ai/free/en/papers/prazak-2021-multilingual-coreference-resolution-harmonized-annotations/) — Ondřej Pražák, Miloslav Konopík, Jakub Sido · Proceedings of the International Conference on… - [Multilingual LAMA: Investigating Knowledge in Multilingual Pretrained Language Models](https://md.research.elamur.ai/free/en/papers/kassner-2021-multilingual-lama-investigating-knowledge-multilingual/) — Nora Kassner, Philipp Dufter, Hinrich Schütze · Proceedings of the 16th Conference of the… - [Multilingual Translation from Denoising Pre-Training](https://md.research.elamur.ai/free/en/papers/tang-2021-multilingual-translation-denoising-pre-training/) — Yuqing Tang, Chau Tran, Xian Li, et al. · Findings of the Association for Computational… - [Multimodal Few-Shot Learning with Frozen Language Models](https://md.research.elamur.ai/free/en/papers/tsimpoukelli-2021-multimodal-few-shot-learning-frozen/) — Maria Tsimpoukelli, Jacob Menick, Serkan Cabi, et al. · arXiv:2106.13884 - [Multitask Prompted Training Enables Zero-Shot Task Generalization](https://md.research.elamur.ai/free/en/papers/sanh-2021-multitask-prompted-training-enables-zero/) — Victor Sanh, Albert Webson, Colin Raffel, et al. · arXiv:2110.08207 - [Multiword expressions as discourse markers in Hebrew and Lithuanian](https://md.research.elamur.ai/free/en/papers/disc-2021-oleskeviciene-multiword-expressions-as-discourse-markers/) — Giedre Valunaite Oleskeviciene, Chaya Liebeskind · Modern Hebrew - [Muppet: Massive Multi-task Representations with Pre-Finetuning](https://md.research.elamur.ai/free/en/papers/aghajanyan-2021-muppet-massive-multi-task-representations/) — Armen Aghajanyan, Anchit Gupta, Akshat Shrivastava, et al. · Proceedings of the 2021 Conference on Empirical… - [MuRIL: Multilingual Representations for Indian Languages](https://md.research.elamur.ai/free/en/papers/khanuja-2021-muril-multilingual-representations-indian-languages/) — Simran Khanuja, Diksha Bansal, Sarvesh Mehtani, et al. · arXiv:2103.10730 - [Negation Handling in Machine Learning-Based Sentiment Classification for Colloquial Arabic](https://md.research.elamur.ai/free/en/papers/al-2021-harbi-negation-handling-machine-learning-based/) — Omar Al-Harbi · arXiv:2107.11597 · International Journal of… - [Neural Modeling for Named Entities and Morphology (NEMO2)](https://md.research.elamur.ai/free/en/papers/tacl-2021-bareket-neural-modeling-named-entities-morphology/) — Dan Bareket, Reut Tsarfaty · Modern Hebrew - [New Arabic Medical Dataset for Diseases Classification](https://md.research.elamur.ai/free/en/papers/hammoud-2021-new-arabic-medical-dataset-diseases/) — Jaafar Hammoud, Aleksandra Vatian, Natalia Dobrenko, et al. · arXiv:2106.15236 - [New Perspectives in Biblical and Rabbinic Hebrew](https://md.research.elamur.ai/free/en/papers/hbobook-obp0250-hornkohl-new-perspectives-biblical-rabbinic-hebrew/) — Aaron D. Hornkohl, Geoffrey Khan · Ancient Hebrew - [NLP in the DH pipeline: Transfer-learning to a Chronolect](https://md.research.elamur.ai/free/en/papers/aclbulk-2021-rubinstein-nlp-dh-pipeline-transfer-learning/) — Aynat Rubinstein, Avi Shmidman · Modern Hebrew - [Noisy Channel Language Model Prompting for Few-Shot Text Classification](https://md.research.elamur.ai/free/en/papers/min-2021-noisy-channel-language-model-prompting/) — Sewon Min, Mike Lewis, Hannaneh Hajishirzi, et al. · arXiv:2108.04106 - [NOPE: A Corpus of Naturally-Occurring Presuppositions in English](https://md.research.elamur.ai/free/en/papers/parrish-2021-nope-corpus-naturally-occurring-presuppositions/) — Alicia Parrish, Sebastian Schuster, Alex Warstadt, et al. · English - [Not Just Classification: Recognizing Implicit Discourse Relation on Joint Modeling of Classification and Generation](https://md.research.elamur.ai/free/en/papers/jiang-2021-not-just-classification-recognizing-implicit/) — Feng Jiang, Yaxin Fan, Xiaomin Chu, et al. · Proceedings of the 2021 Conference on Empirical… - [OCR-free Document Understanding Transformer](https://md.research.elamur.ai/free/en/papers/kim-2021-ocr-free-document-understanding-transformer/) — Geewook Kim, Teakgyu Hong, Moonbin Yim, et al. · arXiv:2111.15664 - [Off-Line Arabic Handwritten Words Segmentation using Morphological Operators](https://md.research.elamur.ai/free/en/papers/abdallah-2021-off-line-arabic-handwritten-words/) — Nisreen AbdAllah, Serestina Viriri · arXiv:2101.02797 · Signal & Image Processing… - [On Generalization in Coreference Resolution](https://md.research.elamur.ai/free/en/papers/toshniwal-2021-generalization-coreference-resolution/) — Shubham Toshniwal, Patrick Xia, Sam Wiseman, et al. · English - [On Generative Spoken Language Modeling from Raw Audio](https://md.research.elamur.ai/free/en/papers/lakhotia-2021-generative-spoken-language-modeling-raw/) — Kushal Lakhotia, Eugene Kharitonov, Wei-Ning Hsu, et al. · Transactions of the Association for… - [On Hallucination and Predictive Uncertainty in Conditional Language Generation](https://md.research.elamur.ai/free/en/papers/xiao-2021-hallucination-predictive-uncertainty-conditional-language/) — Yijun Xiao, William Yang Wang · Proceedings of the 16th Conference of the… - [On Releasing Annotator-Level Labels and Information in Datasets](https://md.research.elamur.ai/free/en/papers/prabhakaran-2021-releasing-annotator-level-labels-information/) — Vinodkumar Prabhakaran, Aida Mostafazadeh Davani, Mark Diaz · Proceedings of the Joint 15th Linguistic… - [On the Effectiveness of Adapter-based Tuning for Pretrained Language Model Adaptation](https://md.research.elamur.ai/free/en/papers/he-2021-effectiveness-adapter-based-tuning-pretrained/) — Ruidan He, Linlin Liu, Hai Ye, et al. · Proceedings of the 59th Annual Meeting of the… - [On the Opportunities and Risks of Foundation Models](https://md.research.elamur.ai/free/en/papers/bommasani-2021-opportunities-risks-foundation-models/) — Rishi Bommasani, Drew A. Hudson, Ehsan Adeli, et al. · arXiv:2108.07258 - [On the Relation between Syntactic Divergence and Zero-Shot Performance](https://md.research.elamur.ai/free/en/papers/arviv-2021-relation-between-syntactic-divergence-zero/) — Ofir Arviv, Dmitry Nikolaev, Taelin Karidi, et al. · Proceedings of the 2021 Conference on Empirical… - [On the treatment of super-heavy syllables in Arabic Dialects: an Optimality Theoretic approach to historical typology](https://md.research.elamur.ai/free/en/papers/bokhari-2021-treatment-super-heavy-syllables-arabic/) — Hassan Bokhari · Papers in Historical Phonology 6 - [ONION: A Simple and Effective Defense Against Textual Backdoor Attacks](https://md.research.elamur.ai/free/en/papers/qi-2021-onion-simple-effective-defense-against/) — Fanchao Qi, Yangyi Chen, Mukai Li, et al. · Proceedings of the 2021 Conference on Empirical… - [OntoGUM: Evaluating Contextualized SOTA Coreference Resolution on 12 More Genres](https://md.research.elamur.ai/free/en/papers/zhu-2021-ontogum-evaluating-contextualized-sota-coreference/) — Yilun Zhu, Sameer Pradhan, Amir Zeldes · Proceedings of the 59th Annual Meeting of the… - [Open-Domain Question Answering Goes Conversational via Question Rewriting](https://md.research.elamur.ai/free/en/papers/anantha-2021-open-domain-question-answering-goes/) — Raviteja Anantha, Svitlana Vakulenko, Zhucheng Tu, et al. · Proceedings of the 2021 Conference of the North… - [Overcoming the challenges in morphological annotation of Turkish in universal dependencies framework](https://md.research.elamur.ai/free/en/papers/bedir-2021-overcoming-challenges-morphological-annotation-turkish/) — Talha Bedir, Karahan Şahin, Onur Gungor, et al. · Proceedings of the Joint 15th Linguistic… - [Overview of the Arabic Sentiment Analysis 2021 Competition at KAUST](https://md.research.elamur.ai/free/en/papers/alamro-2021-overview-arabic-sentiment-analysis-2021/) — Hind Alamro, Manal Alshehri, Basma Alharbi, et al. · arXiv:2109.14456 - [Overview of the CLEF-2019 CheckThat!: Automatic Identification and Verification of Claims](https://md.research.elamur.ai/free/en/papers/elsayed-2021-overview-clef-2019-checkthat-automatic/) — Tamer Elsayed, Preslav Nakov, Alberto Barron-Cedeno, et al. · arXiv:2109.15118 · CLEF-2019 - [Overview of the WANLP 2021 Shared Task on Sarcasm and Sentiment Detection in Arabic](https://md.research.elamur.ai/free/en/papers/farha-2021-overview-wanlp-2021-shared-task/) — Ibrahim Abu Farha, Wajdi Zaghouani, Walid Magdy · Proceedings of the Sixth Arabic Natural… - [P-Stance: A Large Dataset for Stance Detection in Political Domain](https://md.research.elamur.ai/free/en/papers/li-2021-p-stance-large-dataset-stance/) — Yingjie Li, Tiberiu Sosea, Aditya Sawant, et al. · Findings of the Association for Computational… - [P-Tuning v2: Prompt Tuning Can Be Comparable to Fine-tuning Universally Across Scales and Tasks](https://md.research.elamur.ai/free/en/papers/liu-2021-p-tuning-v2-prompt-tuning/) — Xiao Liu, Kaixuan Ji, Yicheng Fu, et al. · arXiv:2110.07602 - [PanGu-α: Large-scale Autoregressive Pretrained Chinese Language Models with Auto-parallel Computation](https://md.research.elamur.ai/free/en/papers/zeng-2021-pangu-alpha-large-scale/) — Wei Zeng, Xiaozhe Ren, Teng Su, et al. · arXiv:2104.12369 - [PAQ: 65 Million Probably-Asked Questions and What You Can Do With Them](https://md.research.elamur.ai/free/en/papers/lewis-2021-paq-65-million-probably-asked/) — Patrick Lewis, Yuxiang Wu, Linqing Liu, et al. · Transactions of the Association for… - [Paragraph-level Rationale Extraction through Regularization: A case study on European Court of Human Rights Cases](https://md.research.elamur.ai/free/en/papers/chalkidis-2021-paragraph-level-rationale-extraction-through/) — Ilias Chalkidis, Manos Fergadiotis, Dimitrios Tsarapatsanis, et al. · Proceedings of the 2021 Conference of the North… - [Paragraph-level Simplification of Medical Texts](https://md.research.elamur.ai/free/en/papers/devaraj-2021-paragraph-level-simplification-medical-texts/) — Ashwin Devaraj, Iain Marshall, Byron Wallace, et al. · Proceedings of the 2021 Conference of the North… - [Parameter-efficient Multi-task Fine-tuning for Transformers via Shared Hypernetworks](https://md.research.elamur.ai/free/en/papers/mahabadi-2021-parameter-efficient-multi-task-fine/) — Rabeeh Karimi Mahabadi, Sebastian Ruder, Mostafa Dehghani, et al. · Proceedings of the 59th Annual Meeting of the… - [Parameter-Efficient Transfer Learning with Diff Pruning](https://md.research.elamur.ai/free/en/papers/guo-2021-parameter-efficient-transfer-learning-diff/) — Demi Guo, Alexander Rush, Yoon Kim · Proceedings of the 59th Annual Meeting of the… - [ParaShoot: A Hebrew Question Answering Dataset](https://md.research.elamur.ai/free/en/papers/ud-2021-keren-parashoot-hebrew-question-answering-dataset/) — Omri Keren, Omer Levy · Modern Hebrew - [Part of Speech and Universal Dependency effects on English Arabic Machine Translation](https://md.research.elamur.ai/free/en/papers/rafaeli-2021-part-speech-universal-dependency-effects/) — Ofek Rafaeli, Omri Abend, Leshem Choshen, et al. · arXiv:2106.00745 - [Perceiver: General Perception with Iterative Attention](https://md.research.elamur.ai/free/en/papers/jaegle-2021-perceiver-general-perception-iterative-attention/) — Andrew Jaegle, Felix Gimeno, Andrew Brock, et al. · arXiv:2103.03206 - [Persistent Anti-Muslim Bias in Large Language Models](https://md.research.elamur.ai/free/en/papers/abid-2021-persistent-anti-muslim-bias-large/) — Abubakar Abid, Maheen Farooqi, James Zou · arXiv:2101.05783 - [Perspective-taking and Pragmatics for Generating Empathetic Responses Focused on Emotion Causes](https://md.research.elamur.ai/free/en/papers/kim-2021-perspective-taking-pragmatics-generating-empathetic/) — Hyunwoo Kim, Byeongchang Kim, Gunhee Kim · Proceedings of the 2021 Conference on Empirical… - [Planning with Learned Entity Prompts for Abstractive Summarization](https://md.research.elamur.ai/free/en/papers/narayan-2021-planning-learned-entity-prompts-abstractive/) — Shashi Narayan, Yao Zhao, Joshua Maynez, et al. · Transactions of the Association for… - [Points of Contact: The Shared Intellectual History of Vocalisation in Syriac, Arabic, and Hebrew](https://md.research.elamur.ai/free/en/papers/hbobook-obp0271-posegay-points-contact/) — Nick Posegay · Ancient Hebrew - [Polyjuice: Generating Counterfactuals for Explaining, Evaluating, and Improving Models](https://md.research.elamur.ai/free/en/papers/wu-2021-polyjuice-generating-counterfactuals-explaining-evaluating/) — Tongshuang Wu, Marco Tulio Ribeiro, Jeffrey Heer, et al. · Proceedings of the 59th Annual Meeting of the… - [Positive Evidence and Parameter Resetting in the Teaching of English Grammar to Libyan University Students](https://md.research.elamur.ai/free/en/papers/abugharsa-2021-positive-evidence-parameter-resetting-teaching/) — Aisha F Abugharsa, Fatma M. Elzawawi, Majdi A. Zarmuh · مجلة كلية الآداب - [Pragmatic competence of pre-trained language models through the lens of discourse connectives](https://md.research.elamur.ai/free/en/papers/pandia-2021-pragmatic-competence-pre-trained-language/) — Lalchand Pandia, Yan Cong, Allyson Ettinger · Proceedings of the 25th Conference on… - [Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language Processing](https://md.research.elamur.ai/free/en/papers/liu-2021-pre-train-prompt-predict-systematic/) — Pengfei Liu, Weizhe Yuan, Jinlan Fu, et al. · arXiv:2107.13586 - [Pre-Training BERT on Arabic Tweets: Practical Considerations](https://md.research.elamur.ai/free/en/papers/abdelali-2021-pre-training-bert-arabic-tweets/) — Ahmed Abdelali, Sabit Hassan, Hamdy Mubarak, et al. · arXiv:2102.10684 - [Pre-training is a Hot Topic: Contextualized Document Embeddings Improve Topic Coherence](https://md.research.elamur.ai/free/en/papers/bianchi-2021-pre-training-is-hot-topic/) — Federico Bianchi, Silvia Terragni, Dirk Hovy · Proceedings of the 59th Annual Meeting of the… - [Predicting scalar inferences from "or" to "not both" using neural sentence encoders](https://md.research.elamur.ai/free/en/papers/li-2021-predicting-scalar-inferences-or-not/) — Elissa Li, Sebastian Schuster, Judith Degen · English - [Preprocessing Solutions for Detection of Sarcasm and Sentiment for Arabic](https://md.research.elamur.ai/free/en/papers/lichouri-2021-preprocessing-solutions-detection-sarcasm-sentiment/) — Mohamed Lichouri, Mourad Abbas, Besma Benaziz, et al. · Proceedings of the Sixth Arabic Natural… - [Probing Contextual Language Models for Common Ground with Visual Representations](https://md.research.elamur.ai/free/en/papers/ilharco-2021-probing-contextual-language-models-common/) — Gabriel Ilharco, Rowan Zellers, Ali Farhadi, et al. · Proceedings of the 2021 Conference of the North… - [Probing for idiomaticity in vector space models](https://md.research.elamur.ai/free/en/papers/garcia-2021-probing-idiomaticity-vector-space-models/) — Marcos Garcia, Tiago Kramer Vieira, Carolina Scarton, et al. · Proceedings of the 16th Conference of the… - [Program Synthesis with Large Language Models](https://md.research.elamur.ai/free/en/papers/austin-2021-program-synthesis-large-language-models/) — Jacob Austin, Augustus Odena, Maxwell Nye, et al. · arXiv:2108.07732 - [Prompt Programming for Large Language Models: Beyond the Few-Shot Paradigm](https://md.research.elamur.ai/free/en/papers/reynolds-2021-prompt-programming-large-language-models/) — Laria Reynolds, Kyle McDonell · arXiv:2102.07350 - [ProofWriter: Generating Implications, Proofs, and Abductive Statements over Natural Language](https://md.research.elamur.ai/free/en/papers/tafjord-2021-proofwriter-generating-implications-proofs-abductive/) — Oyvind Tafjord, Bhavana Dalvi, Peter Clark · Findings of the Association for Computational… - [Proverbs in Language Teaching: Using the Example of Let’s Speak Tigrinya (2018)](https://md.research.elamur.ai/free/en/papers/busau-2021-proverbs-language-teaching-using-example/) — Filip Busau · Aethiopica 23 - [Pseudo Zero Pronoun Resolution Improves Zero Anaphora Resolution](https://md.research.elamur.ai/free/en/papers/konno-2021-pseudo-zero-pronoun-resolution-improves/) — Ryuto Konno, Shun Kiyono, Yuichiroh Matsubayashi, et al. · Proceedings of the 2021 Conference on Empirical… - [QMSum: A New Benchmark for Query-based Multi-domain Meeting Summarization](https://md.research.elamur.ai/free/en/papers/zhong-2021-qmsum-new-benchmark-query-based/) — Ming Zhong, Da Yin, Tao Yu, et al. · Proceedings of the 2021 Conference of the North… - [Quality at a Glance: An Audit of Web-Crawled Multilingual Datasets](https://md.research.elamur.ai/free/en/papers/kreutzer-2021-quality-glance-audit-web-crawled/) — Julia Kreutzer, Isaac Caswell, Lisa Wang, et al. · arXiv:2103.12028 · Transactions of the… - [QuestEval: Summarization Asks for Fact-based Evaluation](https://md.research.elamur.ai/free/en/papers/scialom-2021-questeval-summarization-asks-fact-based/) — Thomas Scialom, Paul-Alexis Dray, Sylvain Lamprier, et al. · Proceedings of the 2021 Conference on Empirical… - [Q²: Evaluating Factual Consistency in Knowledge-Grounded Dialogues via Question Generation and Question Answering](https://md.research.elamur.ai/free/en/papers/honovich-2021-q-2-evaluating-factual-consistency/) — Or Honovich, Leshem Choshen, Roee Aharoni, et al. · Proceedings of the 2021 Conference on Empirical… - [Realistic Evaluation Principles for Cross-document Coreference Resolution](https://md.research.elamur.ai/free/en/papers/cattan-2021-realistic-evaluation-principles-cross-document/) — Arie Cattan, Alon Eirew, Gabriel Stanovsky, et al. · Proceedings of *SEM 2021: The Tenth Joint… - [Recent Advances in Natural Language Processing via Large Pre-Trained Language Models: A Survey](https://md.research.elamur.ai/free/en/papers/min-2021-recent-advances-natural-language-processing/) — Bonan Min, Hayley Ross, Elior Sulem, et al. · arXiv:2111.01243 - [Recipes for Building an Open-Domain Chatbot](https://md.research.elamur.ai/free/en/papers/roller-2021-recipes-building-open-domain-chatbot/) — Stephen Roller, Emily Dinan, Naman Goyal, et al. · Proceedings of the 16th Conference of the… - [Recursive Non-Autoregressive Graph-to-Graph Transformer for Dependency Parsing with Iterative Refinement](https://md.research.elamur.ai/free/en/papers/ud-2021-mohammadshahi-recursive-non-autoregressive-graph-graph/) — Alireza Mohammadshahi, James Henderson · English - [Recursively Summarizing Books with Human Feedback](https://md.research.elamur.ai/free/en/papers/wu-2021-recursively-summarizing-books-human-feedback/) — Jeff Wu, Long Ouyang, Daniel M. Ziegler, et al. · arXiv:2109.10862 - [Referenceless Parsing-Based Evaluation of AMR-to-English Generation](https://md.research.elamur.ai/free/en/papers/manning-2021-referenceless-parsing-based-evaluation-amr/) — Emma Manning, Nathan Schneider · English - [Resolving Prepositional Phrase Attachment Ambiguities with Contextualized Word Embeddings](https://md.research.elamur.ai/free/en/papers/aclbulk-2021-ratnaparkhi-resolving-prepositional-phrase-attachment-ambiguities/) — Adwait Ratnaparkhi, Atul Kumar · English - [Results of the WMT21 Metrics Shared Task: Evaluating Metrics with Expert-based Human Evaluations on TED and News Domain](https://md.research.elamur.ai/free/en/papers/freitag-2021-results-wmt21-metrics-shared-task/) — Markus Freitag, Ricardo Rei, Nitika Mathur, et al. · Proceedings of the Sixth Conference on Machine… - [Retrieval Augmentation Reduces Hallucination in Conversation](https://md.research.elamur.ai/free/en/papers/shuster-2021-retrieval-augmentation-reduces-hallucination-conversation/) — Kurt Shuster, Spencer Poff, Moya Chen, et al. · arXiv:2104.07567 - [Revisiting Shallow Discourse Parsing in the PDTB-3: Handling Intra-sentential Implicits](https://md.research.elamur.ai/free/en/papers/zhao-2021-revisiting-shallow-discourse-parsing-pdtb/) — Zheng Zhao, Bonnie Webber · English - [Robustifying Multi-hop QA through Pseudo-Evidentiality Training](https://md.research.elamur.ai/free/en/papers/lee-2021-robustifying-multi-hop-qa-through/) — Kyungjae Lee, Seung-won Hwang, Sang-eun Han, et al. · Proceedings of the 59th Annual Meeting of the… - [RocketQA: An Optimized Training Approach to Dense Passage Retrieval for Open-Domain Question Answering](https://md.research.elamur.ai/free/en/papers/qu-2021-rocketqa-optimized-training-approach-dense/) — Yingqi Qu, Yuchen Ding, Jing Liu, et al. · Proceedings of the 2021 Conference of the North… - [RocketQAv2: A Joint Training Method for Dense Passage Retrieval and Passage Re-ranking](https://md.research.elamur.ai/free/en/papers/ren-2021-rocketqav2-joint-training-method-dense/) — Ruiyang Ren, Yingqi Qu, Jing Liu, et al. · Proceedings of the 2021 Conference on Empirical… - [Sarcasm and Sentiment Detection in Arabic language A Hybrid Approach Combining Embeddings and Rule-based Features](https://md.research.elamur.ai/free/en/papers/gaanoun-2021-sarcasm-sentiment-detection-arabic-language/) — Kamel Gaanoun, Imade Benelallam · Proceedings of the Sixth Arabic Natural… - [Sarcasm and Sentiment Detection In Arabic Tweets Using BERT-based Models and Data Augmentation](https://md.research.elamur.ai/free/en/papers/abuzayed-2021-sarcasm-sentiment-detection-arabic-tweets/) — Abeer Abuzayed, Hend Al-Khalifa · Proceedings of the Sixth Arabic Natural… - [Sarcasm and Sentiment Detection in Arabic: investigating the interest of character-level features](https://md.research.elamur.ai/free/en/papers/ghoul-2021-sarcasm-sentiment-detection-arabic-investigating/) — Dhaou Ghoul, Gaël Lejeune · Proceedings of the Sixth Arabic Natural… - [SarcasmDet at Sarcasm Detection Task 2021 in Arabic using AraBERT Pretrained Model](https://md.research.elamur.ai/free/en/papers/faraj-2021-sarcasmdet-sarcasm-detection-task-2021/) — Dalya Faraj, Malak Abdullah · Proceedings of the Sixth Arabic Natural… - [Scaling Up Visual and Vision-Language Representation Learning With Noisy Text Supervision](https://md.research.elamur.ai/free/en/papers/jia-2021-scaling-up-visual-vision-language/) — Chao Jia, Yinfei Yang, Ye Xia, et al. · arXiv:2102.05918 · International Conference on… - [Scaling Within Document Coreference to Long Texts](https://md.research.elamur.ai/free/en/papers/thirukovalluru-2021-scaling-within-document-coreference-long/) — Raghuveer Thirukovalluru, Nicholas Monath, Kumar Shridhar, et al. · Findings of the Association for Computational… - [Self-Alignment Pretraining for Biomedical Entity Representations](https://md.research.elamur.ai/free/en/papers/liu-2021-self-alignment-pretraining-biomedical-entity/) — Fangyu Liu, Ehsan Shareghi, Zaiqiao Meng, et al. · Proceedings of the 2021 Conference of the North… - [Self-Diagnosis and Self-Debiasing: A Proposal for Reducing Corpus-Based Bias in NLP](https://md.research.elamur.ai/free/en/papers/schick-2021-self-diagnosis-self-debiasing-proposal/) — Timo Schick, Sahana Udupa, Hinrich Schutze · arXiv:2103.00453 - 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