---
title: "Papers of 2020 — page 3"
description: "Papers of 2020: 438 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/2020/page/3/"
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# Papers of 2020 — page 3

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

[1](https://md.research.elamur.ai/free/en/papers/2020/) [2](https://md.research.elamur.ai/free/en/papers/2020/page/2/) **3** [4](https://md.research.elamur.ai/free/en/papers/2020/page/4/) [5](https://md.research.elamur.ai/free/en/papers/2020/page/5/)

- [Implicit Discourse Relation Classification: We Need to Talk about Evaluation](https://md.research.elamur.ai/free/en/papers/kim-2020-implicit-discourse-relation-classification-we/) — Najoung Kim, Song Feng, Chulaka Gunasekara, et al. · English
- [Improving Massively Multilingual Neural Machine Translation and Zero-Shot Translation](https://md.research.elamur.ai/free/en/papers/zhang-2020-improving-massively-multilingual-neural-machine/) — Biao Zhang, Philip Williams, Ivan Titov, et al. · Proceedings of the 58th Annual Meeting of the…
- [Improving Multi-hop Question Answering over Knowledge Graphs using Knowledge Base Embeddings](https://md.research.elamur.ai/free/en/papers/saxena-2020-improving-multi-hop-question-answering/) — Apoorv Saxena, Aditay Tripathi, Partha Talukdar · Proceedings of the 58th Annual Meeting of the…
- [Incorporate Semantic Structures into Machine Translation Evaluation via UCCA](https://md.research.elamur.ai/free/en/papers/xu-2020-incorporate-semantic-structures-into-machine/) — Jin Xu, Yinuo Guo, Junfeng Hu · Machine translation
- [Incorporating Syntax and Frame Semantics in Neural Network for Machine Reading Comprehension](https://md.research.elamur.ai/free/en/papers/guo-2020-incorporating-syntax-frame-semantics-neural/) — Shaoru Guo, Yong Guan, Ru Li, et al. · Proceedings of the 28th International…
- [Incremental Neural Coreference Resolution in Constant Memory](https://md.research.elamur.ai/free/en/papers/xia-2020-incremental-neural-coreference-resolution-constant/) — Patrick Xia, João Sedoc, Benjamin Van Durme · English
- [Information-Theoretic Probing for Linguistic Structure](https://md.research.elamur.ai/free/en/papers/pimentel-2020-information-theoretic-probing-linguistic-structure/) — Tiago Pimentel, Josef Valvoda, Rowan Hall Maudslay, et al. · Proceedings of the 58th Annual Meeting of the…
- [Information-Theoretic Probing with Minimum Description Length](https://md.research.elamur.ai/free/en/papers/voita-2020-information-theoretic-probing-minimum-description/) — Elena Voita, Ivan Titov · Proceedings of the 2020 Conference on Empirical…
- [InfoXLM: An Information-Theoretic Framework for Cross-Lingual Language Model Pre-Training](https://md.research.elamur.ai/free/en/papers/chi-2020-infoxlm-information-theoretic-framework-cross/) — Zewen Chi, Li Dong, Furu Wei, et al. · arXiv:2007.07834
- [Inherent Dependency Displacement Bias of Transition-Based Algorithms](https://md.research.elamur.ai/free/en/papers/ud-2020-anderson-inherent-dependency-displacement-bias-transition/) — Mark Anderson, Carlos Gómez-Rodríguez · English
- [Injecting Numerical Reasoning Skills into Language Models](https://md.research.elamur.ai/free/en/papers/geva-2020-injecting-numerical-reasoning-skills-into/) — Mor Geva, Ankit Gupta, Jonathan Berant · Proceedings of the 58th Annual Meeting of the…
- [Inquisitive Question Generation for High Level Text Comprehension](https://md.research.elamur.ai/free/en/papers/ko-2020-inquisitive-question-generation-high-level/) — Wei-Jen Ko, Te-yuan Chen, Yiyan Huang, et al. · English
- [Integrating Graph-Based and Transition-Based Dependency Parsers in the Deep Contextualized Era](https://md.research.elamur.ai/free/en/papers/ud-2020-falenska-integrating-graph-based-transition-based/) — Agnieszka Falenska, Anders Björkelund, Jonas Kuhn · English
- [Interactively-Propagative Attention Learning for Implicit Discourse Relation Recognition](https://md.research.elamur.ai/free/en/papers/ruan-2020-interactively-propagative-attention-learning-implicit/) — Huibin Ruan, Yu Hong, Yang Xu, et al. · Proceedings of the 28th International…
- [Intermediate-Task Transfer Learning with Pretrained Language Models: When and Why Does It Work?](https://md.research.elamur.ai/free/en/papers/pruksachatkun-2020-intermediate-task-transfer-learning-pretrained/) — Yada Pruksachatkun, Jason Phang, Haokun Liu, et al. · Proceedings of the 58th Annual Meeting of the…
- [Interpreting Verbal Irony: Linguistic Strategies and the Connection to the Type of Semantic Incongruity](https://md.research.elamur.ai/free/en/papers/ghosh-2020-interpreting-verbal-irony-linguistic-strategies/) — Debanjan Ghosh, Elena Musi, Smaranda Muresan · English
- [iSarcasm: A Dataset of Intended Sarcasm](https://md.research.elamur.ai/free/en/papers/oprea-2020-isarcasm-dataset-intended-sarcasm/) — Silviu Oprea, Walid Magdy · English
- [It's absolutely divine! Can fine-grained sentiment analysis benefit from coreference resolution?](https://md.research.elamur.ai/free/en/papers/clercq-2020-it-s-absolutely-divine-can/) — Orphee De Clercq, Veronique Hoste · Proceedings of the Third Workshop on…
- [Joint Diacritization, Lemmatization, Normalization, and Fine-Grained Morphological Tagging](https://md.research.elamur.ai/free/en/papers/acl-2020-zalmout-joint-diacritization-lemmatization-normalization-fine/) — Nasser Zalmout, Nizar Habash · Semitic languages
- [K-Adapter: Infusing Knowledge into Pre-Trained Models with Adapters](https://md.research.elamur.ai/free/en/papers/wang-2020-k-adapter-infusing-knowledge-pre/) — Ruize Wang, Duyu Tang, Nan Duan, et al. · arXiv:2002.01808
- [KILT: a Benchmark for Knowledge Intensive Language Tasks](https://md.research.elamur.ai/free/en/papers/petroni-2020-kilt-benchmark-knowledge-intensive-language/) — Fabio Petroni, Aleksandra Piktus, Angela Fan, et al. · arXiv:2009.02252
- [Knowledge Graphs](https://md.research.elamur.ai/free/en/papers/hogan-2020-knowledge-graphs/) — Aidan Hogan, Eva Blomqvist, Michael Cochez, et al. · arXiv:2003.02320 (ACM Comput. Surv. 54…
- [KoBE: Knowledge-Based Machine Translation Evaluation](https://md.research.elamur.ai/free/en/papers/gekhman-2020-kobe-knowledge-based-machine-translation/) — Zorik Gekhman, Roee Aharoni, Genady Beryozkin, et al. · Machine translation
- [Language (Technology) is Power: A Critical Survey of “Bias” in NLP](https://md.research.elamur.ai/free/en/papers/blodgett-2020-language-technology-is-power-critical/) — Su Lin Blodgett, Solon Barocas, Hal Daumé III, et al. · Proceedings of the 58th Annual Meeting of the…
- [Language ID in the Wild: Unexpected Challenges on the Path to a Thousand-Language Web Text Corpus](https://md.research.elamur.ai/free/en/papers/caswell-2020-language-id-wild-unexpected/) — Isaac Caswell, Theresa Breiner, Daan van Esch, et al. · COLING 2020
- [Language-agnostic BERT Sentence Embedding](https://md.research.elamur.ai/free/en/papers/feng-2020-language-agnostic-bert-sentence-embedding/) — Fangxiaoyu Feng, Yinfei Yang, Daniel Cer, et al. · arXiv:2007.01852
- [Learning synchronous context-free grammars with multiple specialised non-terminals for hierarchical phrase-based translation](https://md.research.elamur.ai/free/en/papers/sanchez-2020-martinez-learning-synchronous-context-free-grammars/) — Felipe Sanchez-Martinez, Juan Antonio Perez-Ortiz, Rafael C. Carrasco · Machine translation
- [Learning to Evaluate Translation Beyond English: BLEURT Submissions to the WMT Metrics 2020 Shared Task](https://md.research.elamur.ai/free/en/papers/sellam-2020-learning-evaluate-translation-beyond-english/) — Thibault Sellam, Amy Pu, Hyung Won Chung, et al. · Proceedings of the Fifth Conference on Machine…
- [Learning to Ignore: Long Document Coreference with Bounded Memory Neural Networks](https://md.research.elamur.ai/free/en/papers/toshniwal-2020-learning-ignore-long-document-coreference/) — Shubham Toshniwal, Sam Wiseman, Allyson Ettinger, et al. · Proceedings of the 2020 Conference on Empirical…
- [LEDGAR: A Large-Scale Multi-label Corpus for Text Classification of Legal Provisions in Contracts](https://md.research.elamur.ai/free/en/papers/tuggener-2020-ledgar-large-scale-multi-label/) — Don Tuggener, Pius von Däniken, Thomas Peetz, et al. · Proceedings of the Twelfth Language Resources…
- [LEGAL-BERT: The Muppets straight out of Law School](https://md.research.elamur.ai/free/en/papers/chalkidis-2020-legal-bert-muppets-straight-out/) — Ilias Chalkidis, Manos Fergadiotis, Prodromos Malakasiotis, et al. · Findings of the Association for Computational…
- [Lemmatising Verbs in Middle English Corpora: The Benefit of Enriching the Penn-Helsinki Parsed Corpus of Middle English 2 (PPCME2), the Parsed Corpus of Middle English Poetry (PCMEP), and A Parsed Linguistic Atlas of Early Middle English (PLAEME)](https://md.research.elamur.ai/free/en/papers/gram-2020-trips-lemmatising-verbs-middle-english-corpora/) — Carola Trips, Michael Percillier · English
- [Lemmatization and POS-tagging process by using joint learning approach. Experimental results on Classical Armenian, Old Georgian, and Syriac](https://md.research.elamur.ai/free/en/papers/aclbulk-2020-gorene-lemmatization-pos-tagging-process-joint/) — Chahan Vidal-Gorène, Bastien Kindt · Aramaic
- [Linear Neural Parsing and Hybrid Enhancement for Enhanced Universal Dependencies](https://md.research.elamur.ai/free/en/papers/attardi-2020-linear-neural-parsing-hybrid-enhancement/) — Giuseppe Attardi, Daniele Sartiano, Maria Simi · Proceedings of the 16th International…
- [Linguistic Features in Automatic Sarcasm Detection](https://md.research.elamur.ai/free/en/papers/ducret-2020-linguistic-features-automatic-sarcasm-detection/) — Martina Ducret, Lauren Kruse, Carlos Martinez, et al. · English
- [LogiQA: A Challenge Dataset for Machine Reading Comprehension with Logical Reasoning](https://md.research.elamur.ai/free/en/papers/liu-2020-logiqa-challenge-dataset-machine-reading/) — Jian Liu, Leyang Cui, Hanmeng Liu, et al. · arXiv:2007.08124
- [Long Range Arena: A Benchmark for Efficient Transformers](https://md.research.elamur.ai/free/en/papers/tay-2020-long-range-arena-benchmark-efficient/) — Yi Tay, Mostafa Dehghani, Samira Abnar, et al. · arXiv:2011.04006
- [MAD-X: An Adapter-Based Framework for Multi-Task Cross-Lingual Transfer](https://md.research.elamur.ai/free/en/papers/pfeiffer-2020-mad-x-adapter-based-framework/) — Jonas Pfeiffer, Ivan Vulić, Iryna Gurevych, et al. · Proceedings of the 2020 Conference on Empirical…
- [MAGPIE: A Large Corpus of Potentially Idiomatic Expressions](https://md.research.elamur.ai/free/en/papers/haagsma-2020-magpie-large-corpus-potentially-idiomatic/) — Hessel Haagsma, Johan Bos, Malvina Nissim · Proceedings of the Twelfth Language Resources…
- [Making Monolingual Sentence Embeddings Multilingual using Knowledge Distillation](https://md.research.elamur.ai/free/en/papers/reimers-2020-making-monolingual-sentence-embeddings-multilingual/) — Nils Reimers, Iryna Gurevych · arXiv:2004.09813
- [Many systems, one strategy: Acquiring ordinals in Dutch and English](https://md.research.elamur.ai/free/en/papers/meyer-2020-many-systems-one-strategy-acquiring/) — Caitlin Meyer, Sjef Barbiers, Fred Weerman · English
- [Masked Language Model Scoring](https://md.research.elamur.ai/free/en/papers/salazar-2020-masked-language-model-scoring/) — Julian Salazar, Davis Liang, Toan Q. Nguyen, et al. · Proceedings of the 58th Annual Meeting of the…
- [MAVEN: A Massive General Domain Event Detection Dataset](https://md.research.elamur.ai/free/en/papers/wang-2020-maven-massive-general-domain-event/) — Xiaozhi Wang, Ziqi Wang, Xu Han, et al. · Proceedings of the 2020 Conference on Empirical…
- [Measuring and Reducing Gendered Correlations in Pre-trained Models](https://md.research.elamur.ai/free/en/papers/webster-2020-measuring-reducing-gendered-correlations-pre/) — Kellie Webster, Xuezhi Wang, Ian Tenney, et al. · arXiv:2010.06032
- [Measuring Massive Multitask Language Understanding](https://md.research.elamur.ai/free/en/papers/hendrycks-2020-measuring-massive-multitask-language-understanding/) — Dan Hendrycks, Collin Burns, Steven Basart, et al. · arXiv:2009.03300
- [MEGA RST Discourse Treebanks with Structure and Nuclearity from Scalable Distant Sentiment Supervision](https://md.research.elamur.ai/free/en/papers/huber-2020-mega-rst-discourse-treebanks-structure/) — Patrick Huber, Giuseppe Carenini · Proceedings of the 2020 Conference on Empirical…
- [MLS: A Large-Scale Multilingual Dataset for Speech Research](https://md.research.elamur.ai/free/en/papers/pratap-2020-mls-large-scale-multilingual-dataset/) — Vineel Pratap, Qiantong Xu, Anuroop Sriram, et al. · arXiv:2012.03411 · Interspeech 2020
- [MobileBERT: a Compact Task-Agnostic BERT for Resource-Limited Devices](https://md.research.elamur.ai/free/en/papers/sun-2020-mobilebert-compact-task-agnostic-bert/) — Zhiqing Sun, Hongkun Yu, Xiaodan Song, et al. · arXiv:2004.02984
- [Model-based Annotation of Coreference](https://md.research.elamur.ai/free/en/papers/aralikatte-2020-model-based-annotation-coreference/) — Rahul Aralikatte, Anders Søgaard · Proceedings of the Twelfth Language Resources…
- [Modeling Intra and Inter-modality Incongruity for Multi-Modal Sarcasm Detection](https://md.research.elamur.ai/free/en/papers/pan-2020-modeling-intra-inter-modality-incongruity/) — Hongliang Pan, Zheng Lin, Peng Fu, et al. · Findings of the Association for Computational…
- [Modeling Local Contexts for Joint Dialogue Act Recognition and Sentiment Classification with Bi-channel Dynamic Convolutions](https://md.research.elamur.ai/free/en/papers/li-2020-modeling-local-contexts-joint-dialogue/) — Jingye Li, Hao Fei, Donghong Ji · Proceedings of the 28th International…
- [Morphological Analysis and Disambiguation for Gulf Arabic: The Interplay between Resources and Methods](https://md.research.elamur.ai/free/en/papers/lingbulk-2020-khalifa-morphological-analysis-disambiguation-gulf-arabic/) — Salam Khalifa, Nasser Zalmout, Nizar Habash · Semitic languages
- [Morphology-rich Alphasyllabary Embeddings](https://md.research.elamur.ai/free/en/papers/lingbulk-2020-mersha-morphology-rich-alphasyllabary-embeddings/) — Amanuel Mersha, Stephen Wu · Semitic languages
- [MPNet: Masked and Permuted Pre-training for Language Understanding](https://md.research.elamur.ai/free/en/papers/song-2020-mpnet-masked-permuted-pre-training/) — Kaitao Song, Xu Tan, Tao Qin, et al. · arXiv:2004.09297
- [Multi-Domain Dialogue Acts and Response Co-Generation](https://md.research.elamur.ai/free/en/papers/wang-2020-multi-domain-dialogue-acts-response/) — Kai Wang, Junfeng Tian, Rui Wang, et al. · Proceedings of the 58th Annual Meeting of the…
- [Multi-Sentence Argument Linking](https://md.research.elamur.ai/free/en/papers/ebner-2020-multi-sentence-argument-linking/) — Seth Ebner, Patrick Xia, Ryan Culkin, et al. · Proceedings of the 58th Annual Meeting of the…
- [Multilingual Irony Detection with Dependency Syntax and Neural Models](https://md.research.elamur.ai/free/en/papers/cignarella-2020-multilingual-irony-detection-dependency-syntax/) — Alessandra Teresa Cignarella, Valerio Basile, Manuela Sanguinetti, et al. · Proceedings of the 28th International…
- [Multilingual Neural RST Discourse Parsing](https://md.research.elamur.ai/free/en/papers/liu-2020-multilingual-neural-rst-discourse-parsing/) — Zhengyuan Liu, Ke Shi, Nancy Chen · Proceedings of the 28th International…
- [Multilingual Stance Detection in Tweets: The Catalonia Independence Corpus](https://md.research.elamur.ai/free/en/papers/zotova-2020-multilingual-stance-detection-tweets-catalonia/) — Elena Zotova, Rodrigo Agerri, Manuel Nuñez, et al. · Proceedings of the Twelfth Language Resources…
- [Multilingual Universal Sentence Encoder for Semantic Retrieval](https://md.research.elamur.ai/free/en/papers/yang-2020-multilingual-universal-sentence-encoder-semantic/) — Yinfei Yang, Daniel Cer, Amin Ahmad, et al. · Proceedings of the 58th Annual Meeting of the…
- [Multitask Learning-Based Neural Bridging Reference Resolution](https://md.research.elamur.ai/free/en/papers/yu-2020-multitask-learning-based-neural-bridging/) — Juntao Yu, Massimo Poesio · Proceedings of the 28th International…
- [MultiWOZ 2.2 : A Dialogue Dataset with Additional Annotation Corrections and State Tracking Baselines](https://md.research.elamur.ai/free/en/papers/zang-2020-multiwoz-2-2-dialogue-dataset/) — Xiaoxue Zang, Abhinav Rastogi, Srinivas Sunkara, et al. · Proceedings of the 2nd Workshop on Natural…
- [Nakdan: Professional Hebrew Diacritizer](https://md.research.elamur.ai/free/en/papers/aclbulk-2020-shmidman-nakdan-professional-hebrew-diacritizer/) — Avi Shmidman, Shaltiel Shmidman, Moshe Koppel, et al. · Ancient Hebrew
- [Named Entity Recognition as Dependency Parsing](https://md.research.elamur.ai/free/en/papers/yu-2020-named-entity-recognition-as-dependency/) — Juntao Yu, Bernd Bohnet, Massimo Poesio · Proceedings of the 58th Annual Meeting of the…
- [Negated and Misprimed Probes for Pretrained Language Models: Birds Can Talk, But Cannot Fly](https://md.research.elamur.ai/free/en/papers/kassner-2020-negated-misprimed-probes-pretrained-language/) — Nora Kassner, Hinrich Schütze · Proceedings of the 58th Annual Meeting of the…
- [Neural Coreference Resolution for Arabic](https://md.research.elamur.ai/free/en/papers/aloraini-2020-neural-coreference-resolution-arabic/) — Abdulrahman Aloraini, Juntao Yu, Massimo Poesio · Proceedings of the Third Workshop on…
- [Neural CRF Model for Sentence Alignment in Text Simplification](https://md.research.elamur.ai/free/en/papers/jiang-2020-neural-crf-model-sentence-alignment/) — Chao Jiang, Mounica Maddela, Wuwei Lan, et al. · Proceedings of the 58th Annual Meeting of the…
- [Neural Machine Translation Doesn't Translate Gender Coreference Right Unless You Make It](https://md.research.elamur.ai/free/en/papers/saunders-2020-neural-machine-translation-doesn-t/) — Danielle Saunders, Rosie Sallis, Bill Byrne · Proceedings of the Second Workshop on Gender…
- [Neural Natural Language Inference Models Partially Embed Theories of Lexical Entailment and Negation](https://md.research.elamur.ai/free/en/papers/geiger-2020-neural-natural-language-inference-models/) — Atticus Geiger, Kyle Richardson, Christopher Potts · English
- [Neural Sarcasm Detection using Conversation Context](https://md.research.elamur.ai/free/en/papers/jaiswal-2020-neural-sarcasm-detection-conversation-context/) — Nikhil Jaiswal · Proceedings of the Second Workshop on…
- [Neural Syntactic Preordering for Controlled Paraphrase Generation](https://md.research.elamur.ai/free/en/papers/goyal-2020-neural-syntactic-preordering-controlled-paraphrase/) — Tanya Goyal, Greg Durrett · Proceedings of the 58th Annual Meeting of the…
- [New Insights into Cross-Document Event Coreference: Systematic Comparison and a Simplified Approach](https://md.research.elamur.ai/free/en/papers/cremisini-2020-new-insights-into-cross-document/) — Andres Cremisini, Mark Finlayson · Proceedings of the First Joint Workshop on…
- [NoEl: An Annotated Corpus for Noun Ellipsis in English](https://md.research.elamur.ai/free/en/papers/gram-2020-khullar-noel-annotated-corpus-noun-ellipsis/) — Payal Khullar, Kushal Majmundar, Manish Shrivastava · English
- [Null It Out: Guarding Protected Attributes by Iterative Nullspace Projection](https://md.research.elamur.ai/free/en/papers/ravfogel-2020-null-it-out-guarding-protected/) — Shauli Ravfogel, Yanai Elazar, Hila Gonen, et al. · Proceedings of the 58th Annual Meeting of the…
- [Offensive Language and Hate Speech Detection for Danish](https://md.research.elamur.ai/free/en/papers/sigurbergsson-2020-offensive-language-hate-speech-detection/) — Gudbjartur Ingi Sigurbergsson, Leon Derczynski · Proceedings of the Twelfth Language Resources…
- [Offensive Language Identification in Greek](https://md.research.elamur.ai/free/en/papers/pitenis-2020-offensive-language-identification-greek/) — Zesis Pitenis, Marcos Zampieri, Tharindu Ranasinghe · Proceedings of the Twelfth Language Resources…
- [On the Cross-lingual Transferability of Monolingual Representations](https://md.research.elamur.ai/free/en/papers/artetxe-2020-cross-lingual-transferability-monolingual-representations/) — Mikel Artetxe, Sebastian Ruder, Dani Yogatama · Proceedings of the 58th Annual Meeting of the…
- [On The Evaluation of Machine Translation Systems Trained With Back-Translation](https://md.research.elamur.ai/free/en/papers/edunov-2020-evaluation-machine-translation-systems-trained/) — Sergey Edunov, Myle Ott, Marc'Aurelio Ranzato, et al. · Proceedings of the 58th Annual Meeting of the…
- [On the Frailty of Universal POS Tags for Neural UD Parsers](https://md.research.elamur.ai/free/en/papers/anderson-2020-frailty-universal-pos-tags-neural/) — Mark Anderson, Carlos Gómez-Rodríguez · Proceedings of the 24th Conference on…
- [On the Importance of Tokenization in Arabic Embedding Models](https://md.research.elamur.ai/free/en/papers/aclbulk-2020-alkaoud-importance-tokenization-arabic-embedding-models/) — Mohamed Alkaoud, Mairaj Syed · Semitic languages
- [On the Sentence Embeddings from Pre-trained Language Models](https://md.research.elamur.ai/free/en/papers/li-2020-sentence-embeddings-pre-trained-language/) — Bohan Li, Hao Zhou, Junxian He, et al. · Proceedings of the 2020 Conference on Empirical…
- [On the syntax of object pronouns in Old English and Early Middle English](https://md.research.elamur.ai/free/en/papers/bastiani-2020-syntax-object-pronouns-old-english/) — Chiara De Bastiani, Roland Hinterhölzl · English
- [Oscar: Object-Semantics Aligned Pre-training for Vision-Language Tasks](https://md.research.elamur.ai/free/en/papers/li-2020-oscar-object-semantics-aligned-pre/) — Xiujun Li, Xi Yin, Chunyuan Li, et al. · arXiv:2004.06165
- [Overview of the IWPT 2020 Shared Task on Parsing into Enhanced Universal Dependencies](https://md.research.elamur.ai/free/en/papers/ud-2020-bouma-overview-iwpt-2020-shared-task/) — Gosse Bouma, Djamé Seddah, Daniel Zeman · English
- [Overview of the TREC 2019 deep learning track](https://md.research.elamur.ai/free/en/papers/craswell-2020-overview-trec-2019-deep-learning/) — Nick Craswell, Bhaskar Mitra, Emine Yilmaz, et al. · arXiv:2003.07820
- [ParaCrawl: Web-Scale Acquisition of Parallel Corpora](https://md.research.elamur.ai/free/en/papers/banon-2020-paracrawl-web-scale-acquisition-parallel/) — Marta Bañón, Pinzhen Chen, Barry Haddow, et al. · Proceedings of the 58th Annual Meeting of the…
- [Paraphrase Generation as Zero-Shot Multilingual Translation: Disentangling Semantic Similarity from Lexical and Syntactic Diversity](https://md.research.elamur.ai/free/en/papers/thompson-2020-paraphrase-generation-as-zero-shot/) — Brian Thompson, Matt Post · Proceedings of the Fifth Conference on Machine…
- [Paraphrasing vs Coreferring: Two Sides of the Same Coin](https://md.research.elamur.ai/free/en/papers/meged-2020-paraphrasing-vs-coreferring-two-sides/) — Yehudit Meged, Avi Caciularu, Vered Shwartz, et al. · arXiv:2004.14979
- [Parsing Gapping Constructions Based on Grammatical and Semantic Roles](https://md.research.elamur.ai/free/en/papers/kato-2020-parsing-gapping-constructions-based-grammatical/) — Yoshihide Kato, Shigeki Matsubara · English
- [Parsing in the absence of related languages: Evaluating low-resource dependency parsers on Tagalog](https://md.research.elamur.ai/free/en/papers/aquino-2020-parsing-absence-related-languages-evaluating/) — Angelina Aquino, Franz de Leon · Proceedings of the Fourth Workshop on Universal…
- [Participatory Research for Low-resourced Machine Translation: A Case Study in African Languages](https://md.research.elamur.ai/free/en/papers/nekoto-2020-participatory-research-low-resourced-machine/) — Wilhelmina Nekoto, Vukosi Marivate, Tshinondiwa Matsila, et al. · Findings of the Association for Computational…
- [PhoBERT: Pre-trained language models for Vietnamese](https://md.research.elamur.ai/free/en/papers/nguyen-2020-phobert-pre-trained-language-models/) — Dat Quoc Nguyen, Anh Tuan Nguyen · Findings of the Association for Computational…
- [Playing with Words at the National Library of Sweden -- Making a Swedish BERT](https://md.research.elamur.ai/free/en/papers/malmsten-2020-playing-words-national-library-sweden/) — Martin Malmsten, Love Borjeson, Chris Haffenden · arXiv:2007.01658
- [Politeness Transfer: A Tag and Generate Approach](https://md.research.elamur.ai/free/en/papers/madaan-2020-politeness-transfer-tag-generate-approach/) — Aman Madaan, Amrith Setlur, Tanmay Parekh, et al. · Proceedings of the 58th Annual Meeting of the…
- [Pre-trained Models for Natural Language Processing: A Survey](https://md.research.elamur.ai/free/en/papers/qiu-2020-pre-trained-models-natural-language/) — Xipeng Qiu, Tianxiang Sun, Yige Xu, et al. · arXiv:2003.08271 · SCIENCE CHINA Technological…
- [Pre-training via Paraphrasing](https://md.research.elamur.ai/free/en/papers/lewis-2020-pre-training-paraphrasing/) — Mike Lewis, Marjan Ghazvininejad, Gargi Ghosh, et al. · arXiv:2006.15020
- [Pretrained Transformers Improve Out-of-Distribution Robustness](https://md.research.elamur.ai/free/en/papers/hendrycks-2020-pretrained-transformers-improve-out-distribution/) — Dan Hendrycks, Xiaoyuan Liu, Eric Wallace, et al. · arXiv:2004.06100
- [Probing Pretrained Language Models for Lexical Semantics](https://md.research.elamur.ai/free/en/papers/vulic-2020-probing-pretrained-language-models-lexical/) — Ivan Vulić, Edoardo Maria Ponti, Robert Litschko, et al. · Proceedings of the 2020 Conference on Empirical…
- [pyBART: Evidence-based Syntactic Transformations for IE](https://md.research.elamur.ai/free/en/papers/ud-2020-tiktinsky-pybart-evidence-based-syntactic-transformations/) — Aryeh Tiktinsky, Yoav Goldberg, Reut Tsarfaty · English
- [PySBD: Pragmatic Sentence Boundary Disambiguation](https://md.research.elamur.ai/free/en/papers/sadvilkar-2020-pysbd-pragmatic-sentence-boundary-disambiguation/) — Nipun Sadvilkar, Mark Neumann · Proceedings of Second Workshop for NLP Open…

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