[Mova](https://md.mova.elamur.ai/free/en/) · [this page in HTML](https://mova.elamur.ai/free/en/docs/papers/cited-by/page/18/) [home](https://md.mova.elamur.ai/free/en/) / [docs](https://md.mova.elamur.ai/free/en/docs/) / [papers](https://md.mova.elamur.ai/free/en/docs/papers/) / [cited-by](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/) / page 18 # papers/cited-by/ 1934 pages [1](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/)[2](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/page/2/)[3](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/page/3/)[4](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/page/4/)[5](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/page/5/)[6](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/page/6/)[7](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/page/7/)[8](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/page/8/)[9](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/page/9/)[10](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/page/10/)[11](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/page/11/)[12](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/page/12/)[13](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/page/13/)[14](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/page/14/)[15](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/page/15/)[16](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/page/16/)[17](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/page/17/)**18**[19](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/page/19/)[20](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/page/20/) - [tacl-2019-more-joint-transition-based-models-morpho](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/tacl-2019-more-joint-transition-based-models-morpho/) — Who cites «Joint Transition-Based Models for Morpho-Syntactic Parsing: Parsing Strategies for MRLs and a Case Study from Modern Hebrew» - [tacl-2021-bareket-neural-modeling-named-entities-morphology](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/tacl-2021-bareket-neural-modeling-named-entities-morphology/) — Who cites «Neural Modeling for Named Entities and Morphology (NEMO2)» - [tacl-2021-luo-deciphering-undersegmented-ancient-scripts-phonetic](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/tacl-2021-luo-deciphering-undersegmented-ancient-scripts-phonetic/) — Who cites «Deciphering Undersegmented Ancient Scripts Using Phonetic Prior» - [tepanek-2026-first-shared-task-umr-parsing](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/tepanek-2026-first-shared-task-umr-parsing/) — Who cites «First Shared Task on UMR Parsing» - [theune-2010-cross-linguistic-attribute-selection-reg](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/theune-2010-cross-linguistic-attribute-selection-reg/) — Who cites «Cross-linguistic Attribute Selection for REG: Comparing Dutch and English» - [tiel-2021-adjectival-polarity-processing-scalar-inferences](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/tiel-2021-adjectival-polarity-processing-scalar-inferences/) — Who cites «Adjectival polarity and the processing of scalar inferences» - [torregrosa-2019-leveraging-rule-based-machine-translation](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/torregrosa-2019-leveraging-rule-based-machine-translation/) — Who cites «Leveraging Rule-Based Machine Translation Knowledge for Under-Resourced Neural Machine Translation Models» - [toshniwal-2021-generalization-coreference-resolution](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/toshniwal-2021-generalization-coreference-resolution/) — Who cites «On Generalization in Coreference Resolution» - [traum-2000-generation-lexical-conceptual-structures](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/traum-2000-generation-lexical-conceptual-structures/) — Who cites «Generation from Lexical Conceptual Structures» - [treebanks-2020-luukko-akkadian-treebank-early-neo-assyrian](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/treebanks-2020-luukko-akkadian-treebank-early-neo-assyrian/) — Who cites «Akkadian Treebank for early Neo-Assyrian Royal Inscriptions» - [treebanks-2023-aoyama-gentle-genre-diverse-multilayer-challenge](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/treebanks-2023-aoyama-gentle-genre-diverse-multilayer-challenge/) — Who cites «GENTLE: A Genre-Diverse Multilayer Challenge Set for English NLP and Linguistic Evaluation» - [tsvilodub-2025-integrating-neural-symbolic-components-model](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/tsvilodub-2025-integrating-neural-symbolic-components-model/) — Who cites «Integrating Neural and Symbolic Components in a Model of Pragmatic Question-Answering» - [tyers-2012-flexible-finite-state-lexical-selection](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/tyers-2012-flexible-finite-state-lexical-selection/) — Who cites «Flexible finite-state lexical selection for rule-based machine translation» - [uchida-1993-interlingua-multilingual-machine-translation](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/uchida-1993-interlingua-multilingual-machine-translation/) — Who cites «Interlingua for Multilingual Machine Translation» - [ud-2014-marneffe-universal-stanford-dependencies-cross-linguistic](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/ud-2014-marneffe-universal-stanford-dependencies-cross-linguistic/) — Who cites «Universal Stanford dependencies: A cross-linguistic typology» - [ud-2014-marneffe-universal-stanford-dependencies-cross-linguistic-2](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/ud-2014-marneffe-universal-stanford-dependencies-cross-linguistic-2/) — Who cites «Universal Stanford dependencies: A cross-linguistic typology» · page 2 - [ud-2015-ahrenberg-converting-english-swedish-parallel-treebank](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/ud-2015-ahrenberg-converting-english-swedish-parallel-treebank/) — Who cites «Converting an English-Swedish Parallel Treebank to Universal Dependencies» - [ud-2016-nivre-universal-dependencies-v1-multilingual-treebank](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/ud-2016-nivre-universal-dependencies-v1-multilingual-treebank/) — Who cites «Universal Dependencies v1: A Multilingual Treebank Collection» - [ud-2016-nivre-universal-dependencies-v1-multilingual-treebank-2](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/ud-2016-nivre-universal-dependencies-v1-multilingual-treebank-2/) — Who cites «Universal Dependencies v1: A Multilingual Treebank Collection» · page 2 - [ud-2016-nivre-universal-dependencies-v1-multilingual-treebank-3](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/ud-2016-nivre-universal-dependencies-v1-multilingual-treebank-3/) — Who cites «Universal Dependencies v1: A Multilingual Treebank Collection» · page 3 - [ud-2016-nivre-universal-dependencies-v1-multilingual-treebank-4](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/ud-2016-nivre-universal-dependencies-v1-multilingual-treebank-4/) — Who cites «Universal Dependencies v1: A Multilingual Treebank Collection» · page 4 - [ud-2016-nivre-universal-dependencies-v1-multilingual-treebank-5](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/ud-2016-nivre-universal-dependencies-v1-multilingual-treebank-5/) — Who cites «Universal Dependencies v1: A Multilingual Treebank Collection» · page 5 - [ud-2016-nivre-universal-dependencies-v1-multilingual-treebank-6](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/ud-2016-nivre-universal-dependencies-v1-multilingual-treebank-6/) — Who cites «Universal Dependencies v1: A Multilingual Treebank Collection» · page 6 - [ud-2016-nivre-universal-dependencies-v1-multilingual-treebank-7](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/ud-2016-nivre-universal-dependencies-v1-multilingual-treebank-7/) — Who cites «Universal Dependencies v1: A Multilingual Treebank Collection» · page 7 - [ud-2016-nivre-universal-dependencies-v1-multilingual-treebank-8](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/ud-2016-nivre-universal-dependencies-v1-multilingual-treebank-8/) — Who cites «Universal Dependencies v1: A Multilingual Treebank Collection» · page 8 - [ud-2016-schuster-enhanced-english-universal-dependencies-improved](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/ud-2016-schuster-enhanced-english-universal-dependencies-improved/) — Who cites «Enhanced English Universal Dependencies: An Improved Representation for Natural Language Understanding Tasks» - [ud-2016-schuster-enhanced-english-universal-dependencies-improved-2](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/ud-2016-schuster-enhanced-english-universal-dependencies-improved-2/) — Who cites «Enhanced English Universal Dependencies: An Improved Representation for Natural Language Understanding Tasks» · page 2 - [ud-2016-straka-udpipe-trainable-pipeline-processing-conll](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/ud-2016-straka-udpipe-trainable-pipeline-processing-conll/) — Who cites «UDPipe: Trainable Pipeline for Processing CoNLL-U Files Performing Tokenization, Morphological Analysis, POS Tagging and Parsing» - [ud-2016-straka-udpipe-trainable-pipeline-processing-conll-2](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/ud-2016-straka-udpipe-trainable-pipeline-processing-conll-2/) — Who cites «UDPipe: Trainable Pipeline for Processing CoNLL-U Files Performing Tokenization, Morphological Analysis, POS Tagging and Parsing» · page 2 - [ud-2016-wang-galactic-dependencies-treebanks-getting-more](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/ud-2016-wang-galactic-dependencies-treebanks-getting-more/) — Who cites «The Galactic Dependencies Treebanks: Getting More Data by Synthesizing New Languages» - [ud-2017-bjorkelund-ims-conll-2017-ud-shared](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/ud-2017-bjorkelund-ims-conll-2017-ud-shared/) — Who cites «'IMS at the CoNLL 2017 UD Shared Task: CRFs and Perceptrons Meet Neural Networks'» - [ud-2017-candito-enhanced-ud-dependencies-neutralized-diathesis](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/ud-2017-candito-enhanced-ud-dependencies-neutralized-diathesis/) — Who cites «Enhanced UD Dependencies with Neutralized Diathesis Alternation» - [ud-2017-dozat-stanford-s-graph-based-neural](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/ud-2017-dozat-stanford-s-graph-based-neural/) — Who cites «Stanford's Graph-based Neural Dependency Parser at the CoNLL 2017 Shared Task» - [ud-2017-dozat-stanford-s-graph-based-neural-2](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/ud-2017-dozat-stanford-s-graph-based-neural-2/) — Who cites «Stanford's Graph-based Neural Dependency Parser at the CoNLL 2017 Shared Task» · page 2 - [ud-2017-more-universal-joint-morph-syntactic-processing](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/ud-2017-more-universal-joint-morph-syntactic-processing/) — Who cites «Universal Joint Morph-Syntactic Processing: The Open University of Israel's Submission to The CoNLL 2017 Shared Task» - [ud-2017-qi-arc-swift-novel-transition-system](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/ud-2017-qi-arc-swift-novel-transition-system/) — Who cites «Arc-swift: A Novel Transition System for Dependency Parsing» - [ud-2017-schuster-gapping-constructions-universal-dependencies-v2](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/ud-2017-schuster-gapping-constructions-universal-dependencies-v2/) — Who cites «Gapping Constructions in Universal Dependencies v2» - [ud-2017-straka-tokenizing-pos-tagging-lemmatizing-parsing](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/ud-2017-straka-tokenizing-pos-tagging-lemmatizing-parsing/) — Who cites «Tokenizing, POS Tagging, Lemmatizing and Parsing UD 2.0 with UDPipe» - [ud-2017-straka-tokenizing-pos-tagging-lemmatizing-parsing-2](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/ud-2017-straka-tokenizing-pos-tagging-lemmatizing-parsing-2/) — Who cites «Tokenizing, POS Tagging, Lemmatizing and Parsing UD 2.0 with UDPipe» · page 2 - [ud-2017-straka-tokenizing-pos-tagging-lemmatizing-parsing-3](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/ud-2017-straka-tokenizing-pos-tagging-lemmatizing-parsing-3/) — Who cites «Tokenizing, POS Tagging, Lemmatizing and Parsing UD 2.0 with UDPipe» · page 3 - [ud-2017-taji-universal-dependencies-arabic](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/ud-2017-taji-universal-dependencies-arabic/) — Who cites «Universal Dependencies for Arabic» - [ud-2017-vilares-non-projective-greedy-dependency-parser](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/ud-2017-vilares-non-projective-greedy-dependency-parser/) — Who cites «A non-projective greedy dependency parser with bidirectional LSTMs» - [ud-2017-wang-universal-dependencies-parsing-colloquial-singaporean](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/ud-2017-wang-universal-dependencies-parsing-colloquial-singaporean/) — Who cites «Universal Dependencies Parsing for Colloquial Singaporean English» - [ud-2017-yu-parse-is-darc-full-errors](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/ud-2017-yu-parse-is-darc-full-errors/) — Who cites «'The parse is darc and full of errors: Universal dependency parsing with transition-based and graph-based algorithms'» - [ud-2017-zeman-conll-2017-shared-task-multilingual](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/ud-2017-zeman-conll-2017-shared-task-multilingual/) — Who cites «CoNLL 2017 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies» - [ud-2017-zeman-conll-2017-shared-task-multilingual-2](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/ud-2017-zeman-conll-2017-shared-task-multilingual-2/) — Who cites «CoNLL 2017 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies» · page 2 - [ud-2017-zeman-conll-2017-shared-task-multilingual-3](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/ud-2017-zeman-conll-2017-shared-task-multilingual-3/) — Who cites «CoNLL 2017 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies» · page 3 - [ud-2018-arakelyan-jointud-part-speech-tagging-lemmatization](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/ud-2018-arakelyan-jointud-part-speech-tagging-lemmatization/) — Who cites «Towards JointUD: Part-of-speech Tagging and Lemmatization using Recurrent Neural Networks» - [ud-2018-blodgett-twitter-universal-dependency-parsing-african](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/ud-2018-blodgett-twitter-universal-dependency-parsing-african/) — Who cites «Twitter Universal Dependency Parsing for African-American and Mainstream American English» - [ud-2018-droganova-mind-gap-data-enrichment-dependency](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/ud-2018-droganova-mind-gap-data-enrichment-dependency/) — Who cites «Mind the Gap: Data Enrichment in Dependency Parsing of Elliptical Constructions» - [ud-2018-fares-2018-shared-task-extrinsic-parser](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/ud-2018-fares-2018-shared-task-extrinsic-parser/) — Who cites «The 2018 Shared Task on Extrinsic Parser Evaluation: On the Downstream Utility of English Universal Dependency Parsers» - [ud-2018-lacroix-investigating-np-chunking-universal-dependencies](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/ud-2018-lacroix-investigating-np-chunking-universal-dependencies/) — Who cites «Investigating NP-Chunking with Universal Dependencies for English» - [ud-2018-liu-parsing-tweets-into-universal-dependencies](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/ud-2018-liu-parsing-tweets-into-universal-dependencies/) — Who cites «Parsing Tweets into Universal Dependencies» - [ud-2018-nivre-enhancing-universal-dependency-treebanks-case](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/ud-2018-nivre-enhancing-universal-dependency-treebanks-case/) — Who cites «Enhancing Universal Dependency Treebanks: A Case Study» - [ud-2018-sade-hebrew-universal-dependency-treebank-past](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/ud-2018-sade-hebrew-universal-dependency-treebank-past/) — Who cites «The Hebrew Universal Dependency Treebank: Past, Present and Future» - [ud-2018-schuster-sentences-gapping-parsing-reconstructing-elided](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/ud-2018-schuster-sentences-gapping-parsing-reconstructing-elided/) — Who cites «Sentences with Gapping: Parsing and Reconstructing Elided Predicates» - [ud-2018-seker-universal-morpho-syntactic-parsing-contribution](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/ud-2018-seker-universal-morpho-syntactic-parsing-contribution/) — Who cites «Universal Morpho-Syntactic Parsing and the Contribution of Lexica: Analyzing the ONLP Lab Submission to the CoNLL 2018 Shared Task» - [ud-2018-seyoum-universal-dependencies-amharic](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/ud-2018-seyoum-universal-dependencies-amharic/) — Who cites «Universal Dependencies for Amharic» - [ud-2018-straka-udpipe-2-0-prototype-conll](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/ud-2018-straka-udpipe-2-0-prototype-conll/) — Who cites «UDPipe 2.0 Prototype at CoNLL 2018 UD Shared Task» - [ud-2018-straka-udpipe-2-0-prototype-conll-2](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/ud-2018-straka-udpipe-2-0-prototype-conll-2/) — Who cites «UDPipe 2.0 Prototype at CoNLL 2018 UD Shared Task» · page 2 - [ud-2018-wisniewski-errator-tool-help-detect-annotation](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/ud-2018-wisniewski-errator-tool-help-detect-annotation/) — Who cites «Errator: a Tool to Help Detect Annotation Errors in the Universal Dependencies Project» - [ud-2018-yu-approximate-dynamic-oracle-dependency-parsing](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/ud-2018-yu-approximate-dynamic-oracle-dependency-parsing/) — Who cites «Approximate Dynamic Oracle for Dependency Parsing with Reinforcement Learning» - [ud-2018-zeman-conll-2018-shared-task-multilingual](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/ud-2018-zeman-conll-2018-shared-task-multilingual/) — Who cites «CoNLL 2018 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies» - [ud-2018-zeman-conll-2018-shared-task-multilingual-2](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/ud-2018-zeman-conll-2018-shared-task-multilingual-2/) — Who cites «CoNLL 2018 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies» · page 2 - [ud-2018-zeman-conll-2018-shared-task-multilingual-3](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/ud-2018-zeman-conll-2018-shared-task-multilingual-3/) — Who cites «CoNLL 2018 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies» · page 3 - [ud-2019-ahrenberg-adequate-account-parataxis-universal-dependencies](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/ud-2019-ahrenberg-adequate-account-parataxis-universal-dependencies/) — Who cites «Towards an adequate account of parataxis in Universal Dependencies» - [ud-2019-davidson-dependency-parsing-spoken-dialog-systems](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/ud-2019-davidson-dependency-parsing-spoken-dialog-systems/) — Who cites «Dependency Parsing for Spoken Dialog Systems» - [ud-2019-kondratyuk-75-languages-1-model-parsing](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/ud-2019-kondratyuk-75-languages-1-model-parsing/) — Who cites «75 Languages, 1 Model: Parsing Universal Dependencies Universally» - [ud-2019-kondratyuk-75-languages-1-model-parsing-2](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/ud-2019-kondratyuk-75-languages-1-model-parsing-2/) — Who cites «75 Languages, 1 Model: Parsing Universal Dependencies Universally» · page 2 - [ud-2019-levshina-universal-dependencies-galaxy-far-far](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/ud-2019-levshina-universal-dependencies-galaxy-far-far/) — Who cites «Universal Dependencies in a galaxy far, far away... What makes Yoda's English truly alien» - [ud-2019-malaviya-simple-joint-model-improved-contextual](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/ud-2019-malaviya-simple-joint-model-improved-contextual/) — Who cites «A Simple Joint Model for Improved Contextual Neural Lemmatization» - [ud-2019-przepiorkowski-nested-coordination-universal-dependencies](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/ud-2019-przepiorkowski-nested-coordination-universal-dependencies/) — Who cites «Nested Coordination in Universal Dependencies» - [ud-2020-anderson-inherent-dependency-displacement-bias-transition](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/ud-2020-anderson-inherent-dependency-displacement-bias-transition/) — Who cites «Inherent Dependency Displacement Bias of Transition-Based Algorithms» - [ud-2020-bouma-overview-iwpt-2020-shared-task](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/ud-2020-bouma-overview-iwpt-2020-shared-task/) — Who cites «Overview of the IWPT 2020 Shared Task on Parsing into Enhanced Universal Dependencies» - [ud-2020-ek-how-much-enhanced-ud-is](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/ud-2020-ek-how-much-enhanced-ud-is/) — Who cites «How Much of Enhanced UD Is Contained in UD?» - [ud-2020-falenska-integrating-graph-based-transition-based](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/ud-2020-falenska-integrating-graph-based-transition-based/) — Who cites «Integrating Graph-Based and Transition-Based Dependency Parsers in the Deep Contextualized Era» - [ud-2020-grunewald-robertnlp-iwpt-2020-shared-task](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/ud-2020-grunewald-robertnlp-iwpt-2020-shared-task/) — Who cites «RobertNLP at the IWPT 2020 Shared Task: Surprisingly Simple Enhanced UD Parsing for English» - [ud-2020-heinecke-hybrid-enhanced-universal-dependencies-parsing](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/ud-2020-heinecke-hybrid-enhanced-universal-dependencies-parsing/) — Who cites «Hybrid Enhanced Universal Dependencies Parsing» - [ud-2020-juzek-exploring-diachronic-syntactic-shifts-dependency](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/ud-2020-juzek-exploring-diachronic-syntactic-shifts-dependency/) — Who cites «Exploring diachronic syntactic shifts with dependency length: the case of scientific English» - [ud-2020-mohammadshahi-graph-graph-transformer-transition-based](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/ud-2020-mohammadshahi-graph-graph-transformer-transition-based/) — Who cites «Graph-to-Graph Transformer for Transition-based Dependency Parsing» - [ud-2020-qi-stanza-python-natural-language-processing](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/ud-2020-qi-stanza-python-natural-language-processing/) — Who cites «Stanza: A Python Natural Language Processing Toolkit for Many Human Languages» - [ud-2020-qi-stanza-python-natural-language-processing-10](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/ud-2020-qi-stanza-python-natural-language-processing-10/) — Who cites «Stanza: A Python Natural Language Processing Toolkit for Many Human Languages» · page 10 - [ud-2020-qi-stanza-python-natural-language-processing-2](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/ud-2020-qi-stanza-python-natural-language-processing-2/) — Who cites «Stanza: A Python Natural Language Processing Toolkit for Many Human Languages» · page 2 - [ud-2020-qi-stanza-python-natural-language-processing-3](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/ud-2020-qi-stanza-python-natural-language-processing-3/) — Who cites «Stanza: A Python Natural Language Processing Toolkit for Many Human Languages» · page 3 - [ud-2020-qi-stanza-python-natural-language-processing-4](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/ud-2020-qi-stanza-python-natural-language-processing-4/) — Who cites «Stanza: A Python Natural Language Processing Toolkit for Many Human Languages» · page 4 - [ud-2020-qi-stanza-python-natural-language-processing-5](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/ud-2020-qi-stanza-python-natural-language-processing-5/) — Who cites «Stanza: A Python Natural Language Processing Toolkit for Many Human Languages» · page 5 - [ud-2020-qi-stanza-python-natural-language-processing-6](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/ud-2020-qi-stanza-python-natural-language-processing-6/) — Who cites «Stanza: A Python Natural Language Processing Toolkit for Many Human Languages» · page 6 - [ud-2020-qi-stanza-python-natural-language-processing-7](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/ud-2020-qi-stanza-python-natural-language-processing-7/) — Who cites «Stanza: A Python Natural Language Processing Toolkit for Many Human Languages» · page 7 - [ud-2020-qi-stanza-python-natural-language-processing-8](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/ud-2020-qi-stanza-python-natural-language-processing-8/) — Who cites «Stanza: A Python Natural Language Processing Toolkit for Many Human Languages» · page 8 - [ud-2020-qi-stanza-python-natural-language-processing-9](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/ud-2020-qi-stanza-python-natural-language-processing-9/) — Who cites «Stanza: A Python Natural Language Processing Toolkit for Many Human Languages» · page 9 - [ud-2020-seker-pointer-network-architecture-joint-morphological](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/ud-2020-seker-pointer-network-architecture-joint-morphological/) — Who cites «A Pointer Network Architecture for Joint Morphological Segmentation and Tagging» - [ud-2020-tiktinsky-pybart-evidence-based-syntactic-transformations](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/ud-2020-tiktinsky-pybart-evidence-based-syntactic-transformations/) — Who cites «pyBART: Evidence-based Syntactic Transformations for IE» - [ud-2021-bouma-raw-text-enhanced-universal-dependencies](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/ud-2021-bouma-raw-text-enhanced-universal-dependencies/) — Who cites «From Raw Text to Enhanced Universal Dependencies: The Parsing Shared Task at IWPT 2021» - [ud-2021-findlay-how-useful-are-enhanced-universal](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/ud-2021-findlay-how-useful-are-enhanced-universal/) — Who cites «How useful are Enhanced Universal Dependencies for semantic interpretation?» - [ud-2021-guillaume-graph-rewriting-enhanced-universal-dependencies](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/ud-2021-guillaume-graph-rewriting-enhanced-universal-dependencies/) — Who cites «Graph Rewriting for Enhanced Universal Dependencies» - [ud-2021-indurkhya-evaluating-universal-dependency-parser-recovery](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/ud-2021-indurkhya-evaluating-universal-dependency-parser-recovery/) — Who cites «Evaluating Universal Dependency Parser Recovery of Predicate Argument Structure via CompChain Analysis» - [ud-2021-kahane-annotation-guidelines-ud-sud-treebanks](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/ud-2021-kahane-annotation-guidelines-ud-sud-treebanks/) — Who cites «Annotation guidelines of UD and SUD treebanks for spoken corpora: A proposal» - [ud-2021-keren-parashoot-hebrew-question-answering-dataset](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/ud-2021-keren-parashoot-hebrew-question-answering-dataset/) — Who cites «ParaShoot: A Hebrew Question Answering Dataset» - [ud-2021-lapalme-validation-universal-dependencies-regeneration](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/ud-2021-lapalme-validation-universal-dependencies-regeneration/) — Who cites «Validation of Universal Dependencies by regeneration» - [ud-2021-liu-dependency-parsing-evaluation-low-resource](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/ud-2021-liu-dependency-parsing-evaluation-low-resource/) — Who cites «Dependency Parsing Evaluation for Low-resource Spontaneous Speech» [1](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/)[2](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/page/2/)[3](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/page/3/)[4](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/page/4/)[5](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/page/5/)[6](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/page/6/)[7](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/page/7/)[8](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/page/8/)[9](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/page/9/)[10](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/page/10/)[11](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/page/11/)[12](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/page/12/)[13](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/page/13/)[14](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/page/14/)[15](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/page/15/)[16](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/page/16/)[17](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/page/17/)**18**[19](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/page/19/)[20](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/page/20/)