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# papers/cited-by/

1934 pages

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- [ud-2021-mohammadshahi-recursive-non-autoregressive-graph-graph](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/ud-2021-mohammadshahi-recursive-non-autoregressive-graph-graph/) — Who cites «Recursive Non-Autoregressive Graph-to-Graph Transformer for Dependency Parsing with Iterative Refinement»
- [ud-2021-nguyen-trankit-light-weight-transformer-based](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/ud-2021-nguyen-trankit-light-weight-transformer-based/) — Who cites «Trankit: A Light-Weight Transformer-based Toolkit for Multilingual Natural Language Processing»
- [ud-2022-krielke-tracing-syntactic-change-scientific-genre](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/ud-2022-krielke-tracing-syntactic-change-scientific-genre/) — Who cites «Tracing Syntactic Change in the Scientific Genre: Two Universal Dependency-parsed Diachronic Corpora of Scientific English and German»
- [ud-2022-nivre-nucleus-composition-transition-based-dependency](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/ud-2022-nivre-nucleus-composition-transition-based-dependency/) — Who cites «Nucleus Composition in Transition-based Dependency Parsing»
- [ud-2022-swanson-universal-dependencies-treebank-ancient-hebrew](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/ud-2022-swanson-universal-dependencies-treebank-ancient-hebrew/) — Who cites «A Universal Dependencies Treebank of Ancient Hebrew»
- [ud-2022-yaari-aligned-multimodal-movie-treebank-audio](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/ud-2022-yaari-aligned-multimodal-movie-treebank-audio/) — Who cites «The Aligned Multimodal Movie Treebank: An audio, video, dependency-parse treebank»
- [ud-2022-zeldes-second-wave-ud-hebrew-treebanking](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/ud-2022-zeldes-second-wave-ud-hebrew-treebanking/) — Who cites «A Second Wave of UD Hebrew Treebanking and Cross-Domain Parsing»
- [ud-2023-elshabrawy-camelparser2-0-state-art-dependency](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/ud-2023-elshabrawy-camelparser2-0-state-art-dependency/) — Who cites «CamelParser2.0: A State-of-the-Art Dependency Parser for Arabic»
- [ud-2023-liu-data-driven-parsing-evaluation-child](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/ud-2023-liu-data-driven-parsing-evaluation-child/) — Who cites «Data-driven Parsing Evaluation for Child-Parent Interactions»
- [ud-2024-ahrenberg-fitting-fixed-expressions-into-ud](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/ud-2024-ahrenberg-fitting-fixed-expressions-into-ud/) — Who cites «Fitting Fixed Expressions into the UD Mould: Swedish as a Use Case»
- [ud-2024-miranda-allen-institute-ai-sigtyp-2024](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/ud-2024-miranda-allen-institute-ai-sigtyp-2024/) — Who cites «Allen Institute for AI @ SIGTYP 2024 Shared Task on Word Embedding Evaluation for Ancient and Historical Languages»
- [ud-2024-swanson-producing-parallel-universal-dependencies-treebank](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/ud-2024-swanson-producing-parallel-universal-dependencies-treebank/) — Who cites «Producing a Parallel Universal Dependencies Treebank of Ancient Hebrew and Ancient Greek via Cross-Lingual Projection»
- [ud-2025-levine-building-ud-cairo-old-english](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/ud-2025-levine-building-ud-cairo-old-english/) — Who cites «Building UD Cairo for Old English in the Classroom»
- [ud-2025-yang-ud-english-childes-collected-resource](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/ud-2025-yang-ud-english-childes-collected-resource/) — Who cites «UD-English-CHILDES: A Collected Resource of Gold and Silver Universal Dependencies Trees for Child Language Interactions»
- [ulinski-2018-hedge-detection-improve-committed-belief](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/ulinski-2018-hedge-detection-improve-committed-belief/) — Who cites «Using Hedge Detection to Improve Committed Belief Tagging»
- [ulinski-2019-crowdsourced-hedge-term-disambiguation](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/ulinski-2019-crowdsourced-hedge-term-disambiguation/) — Who cites «Crowdsourced Hedge Term Disambiguation»
- [uryupina-2016-arrau-linguistically-motivated-annotation-anaphoric](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/uryupina-2016-arrau-linguistically-motivated-annotation-anaphoric/) — Who cites «ARRAU: Linguistically-Motivated Annotation of Anaphoric Descriptions»
- [vandevoorde-2020-semantic-differences-translation-exploring](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/vandevoorde-2020-semantic-differences-translation-exploring/) — Who cites «Semantic differences in translation: Exploring the field of inchoativity»
- [vashishtha-2020-temporal-reasoning-natural-language-inference](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/vashishtha-2020-temporal-reasoning-natural-language-inference/) — Who cites «Temporal Reasoning in Natural Language Inference»
- [veyseh-2019-graph-based-neural-networks-event](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/veyseh-2019-graph-based-neural-networks-event/) — Who cites «Graph based Neural Networks for Event Factuality Prediction using Syntactic and Semantic Structures»
- [vilain-1995-model-theoretic-coreference-scoring-scheme](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/vilain-1995-model-theoretic-coreference-scoring-scheme/) — Who cites «A Model-Theoretic Coreference Scoring Scheme»
- [vilain-1995-model-theoretic-coreference-scoring-scheme-2](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/vilain-1995-model-theoretic-coreference-scoring-scheme-2/) — Who cites «A Model-Theoretic Coreference Scoring Scheme» · page 2
- [vilain-1995-model-theoretic-coreference-scoring-scheme-3](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/vilain-1995-model-theoretic-coreference-scoring-scheme-3/) — Who cites «A Model-Theoretic Coreference Scoring Scheme» · page 3
- [vilain-1995-model-theoretic-coreference-scoring-scheme-4](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/vilain-1995-model-theoretic-coreference-scoring-scheme-4/) — Who cites «A Model-Theoretic Coreference Scoring Scheme» · page 4
- [vilar-2006-error-analysis-statistical-machine-translation](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/vilar-2006-error-analysis-statistical-machine-translation/) — Who cites «Error Analysis of Statistical Machine Translation Output»
- [villa-2023-modern-languages-parse-ancient-ones](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/villa-2023-modern-languages-parse-ancient-ones/) — Who cites «Using Modern Languages to Parse Ancient Ones: a Test on Old English»
- [virk-2014-developing-interlingual-translation-lexicon-wordnets](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/virk-2014-developing-interlingual-translation-lexicon-wordnets/) — Who cites «Developing an interlingual translation lexicon using WordNets and Grammatical Framework»
- [walde-2016-role-modifier-head-properties-predicting](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/walde-2016-role-modifier-head-properties-predicting/) — Who cites «The Role of Modifier and Head Properties in Predicting the Compositionality of English and German Noun-Noun Compounds: A Vector-Space Perspective»
- [wang-2016-character-translation-edit-rate-character](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/wang-2016-character-translation-edit-rate-character/) — Who cites «CharacTer: Translation Edit Rate on Character Level»
- [wang-2021-evaluating-text-generation-discourse-representation](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/wang-2021-evaluating-text-generation-discourse-representation/) — Who cites «Evaluating Text Generation from Discourse Representation Structures»
- [wang-2024-rsa-control-pragmatics-grounded-lightweight](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/wang-2024-rsa-control-pragmatics-grounded-lightweight/) — Who cites «RSA-Control: A Pragmatics-Grounded Lightweight Controllable Text Generation Framework»
- [warstadt-2020-blimp-benchmark-linguistic-minimal-pairs](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/warstadt-2020-blimp-benchmark-linguistic-minimal-pairs/) — Who cites «BLiMP: The Benchmark of Linguistic Minimal Pairs for English»
- [webber-1999-discourse-relations-structural-presuppositional-account](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/webber-1999-discourse-relations-structural-presuppositional-account/) — Who cites «Discourse Relations: A Structural and Presuppositional Account Using Lexicalised TAG»
- [webber-2003-anaphora-discourse-structure](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/webber-2003-anaphora-discourse-structure/) — Who cites «Anaphora and Discourse Structure»
- [webster-2018-mind-gap-balanced-corpus-gendered](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/webster-2018-mind-gap-balanced-corpus-gendered/) — Who cites «Mind the GAP: A Balanced Corpus of Gendered Ambiguous Pronouns»
- [webster-2018-mind-gap-balanced-corpus-gendered-2](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/webster-2018-mind-gap-balanced-corpus-gendered-2/) — Who cites «Mind the GAP: A Balanced Corpus of Gendered Ambiguous Pronouns» · page 2
- [wein-2023-measuring-fine-grained-semantic-equivalence](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/wein-2023-measuring-fine-grained-semantic-equivalence/) — Who cites «Measuring Fine-Grained Semantic Equivalence with Abstract Meaning Representation»
- [wein-2024-assessing-cross-linguistic-utility-abstract](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/wein-2024-assessing-cross-linguistic-utility-abstract/) — Who cites «Assessing the Cross-linguistic Utility of Abstract Meaning Representation»
- [wein-2024-lost-translationese-reducing-translation-effect](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/wein-2024-lost-translationese-reducing-translation-effect/) — Who cites «Lost in Translationese? Reducing Translation Effect Using Abstract Meaning Representation»
- [werner-2015-committed-belief-tagging-factbank-lu](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/werner-2015-committed-belief-tagging-factbank-lu/) — Who cites «Committed Belief Tagging on the Factbank and LU Corpora: A Comparative Study»
- [weston-2015-towards-ai-complete-question-answering](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/weston-2015-towards-ai-complete-question-answering/) — Who cites «Towards AI-Complete Question Answering: A Set of Prerequisite Toy Tasks»
- [weston-2015-towards-ai-complete-question-answering-2](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/weston-2015-towards-ai-complete-question-answering-2/) — Who cites «Towards AI-Complete Question Answering: A Set of Prerequisite Toy Tasks» · page 2
- [weston-2015-towards-ai-complete-question-answering-3](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/weston-2015-towards-ai-complete-question-answering-3/) — Who cites «Towards AI-Complete Question Answering: A Set of Prerequisite Toy Tasks» · page 3
- [weston-2015-towards-ai-complete-question-answering-4](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/weston-2015-towards-ai-complete-question-answering-4/) — Who cites «Towards AI-Complete Question Answering: A Set of Prerequisite Toy Tasks» · page 4
- [white-2007-broad-coverage-surface-realization-ccg](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/white-2007-broad-coverage-surface-realization-ccg/) — Who cites «Towards broad coverage surface realization with CCG»
- [white-2008-more-precise-analysis-punctuation-broad](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/white-2008-more-precise-analysis-punctuation-broad/) — Who cites «A More Precise Analysis of Punctuation for Broad-Coverage Surface Realization with CCG»
- [white-2016-universal-decompositional-semantics-universal-dependencies](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/white-2016-universal-decompositional-semantics-universal-dependencies/) — Who cites «Universal Decompositional Semantics on Universal Dependencies»
- [white-2017-inference-is-everything-recasting-semantic](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/white-2017-inference-is-everything-recasting-semantic/) — Who cites «Inference is Everything: Recasting Semantic Resources into a Unified Evaluation Framework»
- [whitelock-1992-shake-bake-translation](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/whitelock-1992-shake-bake-translation/) — Who cites «Shake-and-Bake Translation»
- [wilkinson-2016-gold-standard-scalar-adjectives](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/wilkinson-2016-gold-standard-scalar-adjectives/) — Who cites «A Gold Standard for Scalar Adjectives»
- [wilson-2023-subject-verb-agreement-seq2seq-transformers](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/wilson-2023-subject-verb-agreement-seq2seq-transformers/) — Who cites «Subject-verb agreement with Seq2Seq transformers: Bigger is better, but still not best»
- [wong-2007-generation-inverting-semantic-parser-that](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/wong-2007-generation-inverting-semantic-parser-that/) — Who cites «Generation by Inverting a Semantic Parser that Uses Statistical Machine Translation»
- [wood-2018-datives-data-dialect-syntax-american](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/wood-2018-datives-data-dialect-syntax-american/) — Who cites «Datives, data and dialect syntax in American English»
- [woodsend-2011-learning-simplify-sentences-quasi-synchronous](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/woodsend-2011-learning-simplify-sentences-quasi-synchronous/) — Who cites «Learning to Simplify Sentences with Quasi-Synchronous Grammar and Integer Programming»
- [woodsend-2011-learning-simplify-sentences-quasi-synchronous-2](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/woodsend-2011-learning-simplify-sentences-quasi-synchronous-2/) — Who cites «Learning to Simplify Sentences with Quasi-Synchronous Grammar and Integer Programming» · page 2
- [wu-1997-stochastic-inversion-transduction-grammars-bilingual](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/wu-1997-stochastic-inversion-transduction-grammars-bilingual/) — Who cites «Stochastic Inversion Transduction Grammars and Bilingual Parsing of Parallel Corpora»
- [wu-1997-stochastic-inversion-transduction-grammars-bilingual-2](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/wu-1997-stochastic-inversion-transduction-grammars-bilingual-2/) — Who cites «Stochastic Inversion Transduction Grammars and Bilingual Parsing of Parallel Corpora» · page 2
- [wu-1997-stochastic-inversion-transduction-grammars-bilingual-3](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/wu-1997-stochastic-inversion-transduction-grammars-bilingual-3/) — Who cites «Stochastic Inversion Transduction Grammars and Bilingual Parsing of Parallel Corpora» · page 3
- [wu-1997-stochastic-inversion-transduction-grammars-bilingual-4](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/wu-1997-stochastic-inversion-transduction-grammars-bilingual-4/) — Who cites «Stochastic Inversion Transduction Grammars and Bilingual Parsing of Parallel Corpora» · page 4
- [wu-1997-stochastic-inversion-transduction-grammars-bilingual-5](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/wu-1997-stochastic-inversion-transduction-grammars-bilingual-5/) — Who cites «Stochastic Inversion Transduction Grammars and Bilingual Parsing of Parallel Corpora» · page 5
- [wu-2011-effective-use-function-words-rule](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/wu-2011-effective-use-function-words-rule/) — Who cites «Effective Use of Function Words for Rule Generalization in Forest-Based Translation»
- [wu-2018-creating-translation-matrix-bible-s](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/wu-2018-creating-translation-matrix-bible-s/) — Who cites «Creating a Translation Matrix of the Bible's Names Across 591 Languages»
- [wu-2023-elaborative-simplification-as-implicit-questions](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/wu-2023-elaborative-simplification-as-implicit-questions/) — Who cites «Elaborative Simplification as Implicit Questions Under Discussion»
- [wu-2023-qudeval-evaluation-questions-under-discussion](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/wu-2023-qudeval-evaluation-questions-under-discussion/) — Who cites «QUDeval: The Evaluation of Questions Under Discussion Discourse Parsing»
- [wubben-2012-sentence-simplification-monolingual-machine-translation](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/wubben-2012-sentence-simplification-monolingual-machine-translation/) — Who cites «Sentence Simplification by Monolingual Machine Translation»
- [wubben-2012-sentence-simplification-monolingual-machine-translation-2](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/wubben-2012-sentence-simplification-monolingual-machine-translation-2/) — Who cites «Sentence Simplification by Monolingual Machine Translation» · page 2
- [xia-2020-incremental-neural-coreference-resolution-constant](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/xia-2020-incremental-neural-coreference-resolution-constant/) — Who cites «Incremental Neural Coreference Resolution in Constant Memory»
- [xu-2012-paraphrasing-style](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/xu-2012-paraphrasing-style/) — Who cites «Paraphrasing for Style»
- [xu-2012-paraphrasing-style-2](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/xu-2012-paraphrasing-style-2/) — Who cites «Paraphrasing for Style» · page 2
- [xu-2016-optimizing-statistical-machine-translation-text](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/xu-2016-optimizing-statistical-machine-translation-text/) — Who cites «Optimizing Statistical Machine Translation for Text Simplification»
- [xu-2016-optimizing-statistical-machine-translation-text-2](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/xu-2016-optimizing-statistical-machine-translation-text-2/) — Who cites «Optimizing Statistical Machine Translation for Text Simplification» · page 2
- [xu-2016-optimizing-statistical-machine-translation-text-3](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/xu-2016-optimizing-statistical-machine-translation-text-3/) — Who cites «Optimizing Statistical Machine Translation for Text Simplification» · page 3
- [xu-2016-optimizing-statistical-machine-translation-text-4](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/xu-2016-optimizing-statistical-machine-translation-text-4/) — Who cites «Optimizing Statistical Machine Translation for Text Simplification» · page 4
- [xu-2016-optimizing-statistical-machine-translation-text-5](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/xu-2016-optimizing-statistical-machine-translation-text-5/) — Who cites «Optimizing Statistical Machine Translation for Text Simplification» · page 5
- [xu-2017-shakespeare-twitter-what-are-language](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/xu-2017-shakespeare-twitter-what-are-language/) — Who cites «From Shakespeare to Twitter: What are Language Styles all about?»
- [xu-2020-incorporate-semantic-structures-into-machine](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/xu-2020-incorporate-semantic-structures-into-machine/) — Who cites «Incorporate Semantic Structures into Machine Translation Evaluation via UCCA»
- [xu-2022-fantastic-questions-where-find-them](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/xu-2022-fantastic-questions-where-find-them/) — Who cites «Fantastic Questions and Where to Find Them: FairytaleQA – An Authentic Dataset for Narrative Comprehension»
- [xue-2014-not-interlingua-but-close-comparison](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/xue-2014-not-interlingua-but-close-comparison/) — Who cites «Not an Interlingua, But Close: Comparison of English AMRs to Chinese and Czech»
- [xue-2016-conll-2016-shared-task-multilingual](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/xue-2016-conll-2016-shared-task-multilingual/) — Who cites «CoNLL 2016 Shared Task on Multilingual Shallow Discourse Parsing»
- [yamada-2001-syntax-based-statistical-translation-model](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/yamada-2001-syntax-based-statistical-translation-model/) — Who cites «A Syntax-based Statistical Translation Model»
- [yamada-2001-syntax-based-statistical-translation-model-2](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/yamada-2001-syntax-based-statistical-translation-model-2/) — Who cites «A Syntax-based Statistical Translation Model» · page 2
- [yamada-2001-syntax-based-statistical-translation-model-3](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/yamada-2001-syntax-based-statistical-translation-model-3/) — Who cites «A Syntax-based Statistical Translation Model» · page 3
- [yang-2018-scidtb-discourse-dependency-treebank-scientific](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/yang-2018-scidtb-discourse-dependency-treebank-scientific/) — Who cites «SciDTB: Discourse Dependency TreeBank for Scientific Abstracts»
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- [yu-2019-head-first-linearization-tree-structured](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/yu-2019-head-first-linearization-tree-structured/) — Who cites «Head-First Linearization with Tree-Structured Representation»
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- [yu-2023-crepe-open-domain-question-answering](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/yu-2023-crepe-open-domain-question-answering/) — Who cites «CREPE: Open-Domain Question Answering with False Presuppositions»
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