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[merrill-2019-detecting-syntactic-change-neural-part](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/merrill-2019-detecting-syntactic-change-neural-part/) — Who cites «Detecting Syntactic Change Using a Neural Part-of-Speech Tagger» - [merwe-2012-bible-afrikaans-direct-translation-new](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/merwe-2012-bible-afrikaans-direct-translation-new/) — Who cites «The Bible in Afrikaans: A direct translation – A new type of church Bible» - [mezza-2018-iso-standard-domain-independent-dialogue](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/mezza-2018-iso-standard-domain-independent-dialogue/) — Who cites «ISO-Standard Domain-Independent Dialogue Act Tagging for Conversational Agents» - [mi-2008-forest-based-translation](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/mi-2008-forest-based-translation/) — Who cites «Forest-Based Translation» - [mi-2008-forest-based-translation-2](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/mi-2008-forest-based-translation-2/) — Who cites «Forest-Based Translation» · page 2 - [miani-2026-cross-lingual-cross-domain-transfer](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/miani-2026-cross-lingual-cross-domain-transfer/) — Who cites «Cross-Lingual and Cross-Domain Transfer Learning for POS Tagging in Historical Germanic Low-Resource Languages» - [michael-2018-crowdsourcing-question-answer-meaning-representations](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/michael-2018-crowdsourcing-question-answer-meaning-representations/) — Who cites «Crowdsourcing Question-Answer Meaning Representations» - [miletic-2025-modeling-evolution-english-noun-compounds](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/miletic-2025-modeling-evolution-english-noun-compounds/) — Who cites «Modeling the Evolution of English Noun Compounds with Feature-Rich Diachronic Compositionality Prediction» - [mille-2018-first-multilingual-surface-realisation-shared](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/mille-2018-first-multilingual-surface-realisation-shared/) — Who cites «The First Multilingual Surface Realisation Shared Task (SR'18): Overview and Evaluation Results» - [mille-2018-underspecified-universal-dependency-structures-as](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/mille-2018-underspecified-universal-dependency-structures-as/) — Who cites «Underspecified Universal Dependency Structures as Inputs for Multilingual Surface Realisation» - [mille-2020-third-multilingual-surface-realisation-shared](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/mille-2020-third-multilingual-surface-realisation-shared/) — Who cites «The Third Multilingual Surface Realisation Shared Task (SR'20): Overview and Evaluation Results» - [miltsakaki-2004-penn-discourse-treebank](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/miltsakaki-2004-penn-discourse-treebank/) — Who cites «The Penn Discourse Treebank» - [miltsakaki-2004-penn-discourse-treebank-2](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/miltsakaki-2004-penn-discourse-treebank-2/) — Who cites «The Penn Discourse Treebank» · page 2 - [mirovsky-2013-pre-annotation-topic-focus-articulation](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/mirovsky-2013-pre-annotation-topic-focus-articulation/) — Who cites «(Pre-)Annotation of Topic-Focus Articulation in Prague Czech-English Dependency Treebank» - [mirzaee-2021-spartqa-textual-question-answering-benchmark](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/mirzaee-2021-spartqa-textual-question-answering-benchmark/) — Who cites «SPARTQA: A Textual Question Answering Benchmark for Spatial Reasoning» - [missing-2013-richardson-mctest-challenge-dataset-open-domain](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/missing-2013-richardson-mctest-challenge-dataset-open-domain/) — Who cites «MCTest: A Challenge Dataset for the Open-Domain Machine Comprehension of Text» - [missing-2013-richardson-mctest-challenge-dataset-open-domain-2](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/missing-2013-richardson-mctest-challenge-dataset-open-domain-2/) — Who cites «MCTest: A Challenge Dataset for the Open-Domain Machine Comprehension of Text» · page 2 - [missing-2013-richardson-mctest-challenge-dataset-open-domain-3](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/missing-2013-richardson-mctest-challenge-dataset-open-domain-3/) — Who cites «MCTest: A Challenge Dataset for the Open-Domain Machine Comprehension of Text» · page 3 - [missing-2014-chen-fast-accurate-dependency-parser-neural](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/missing-2014-chen-fast-accurate-dependency-parser-neural/) — Who cites «A Fast and Accurate Dependency Parser using Neural Networks» - [missing-2014-chen-fast-accurate-dependency-parser-neural-2](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/missing-2014-chen-fast-accurate-dependency-parser-neural-2/) — Who cites «A Fast and Accurate Dependency Parser using Neural Networks» · page 2 - [missing-2014-chen-fast-accurate-dependency-parser-neural-3](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/missing-2014-chen-fast-accurate-dependency-parser-neural-3/) — Who cites «A Fast and Accurate Dependency Parser using Neural Networks» · page 3 - [missing-2014-chen-fast-accurate-dependency-parser-neural-4](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/missing-2014-chen-fast-accurate-dependency-parser-neural-4/) — Who cites «A Fast and Accurate Dependency Parser using Neural Networks» · page 4 - [missing-2014-chen-fast-accurate-dependency-parser-neural-5](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/missing-2014-chen-fast-accurate-dependency-parser-neural-5/) — Who cites «A Fast and Accurate Dependency Parser using Neural Networks» · page 5 - [missing-2014-chen-fast-accurate-dependency-parser-neural-6](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/missing-2014-chen-fast-accurate-dependency-parser-neural-6/) — Who cites «A Fast and Accurate Dependency Parser using Neural Networks» · page 6 - [missing-2015-dyer-transition-based-dependency-parsing-stack](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/missing-2015-dyer-transition-based-dependency-parsing-stack/) — Who cites «Transition-Based Dependency Parsing with Stack Long Short-Term Memory» - [missing-2015-dyer-transition-based-dependency-parsing-stack-2](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/missing-2015-dyer-transition-based-dependency-parsing-stack-2/) — Who cites «Transition-Based Dependency Parsing with Stack Long Short-Term Memory» · page 2 - [missing-2015-dyer-transition-based-dependency-parsing-stack-3](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/missing-2015-dyer-transition-based-dependency-parsing-stack-3/) — Who cites «Transition-Based Dependency Parsing with Stack Long Short-Term Memory» · page 3 - [missing-2015-dyer-transition-based-dependency-parsing-stack-4](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/missing-2015-dyer-transition-based-dependency-parsing-stack-4/) — Who cites «Transition-Based Dependency Parsing with Stack Long Short-Term Memory» · page 4 - [missing-2015-honnibal-improved-non-monotonic-transition-system](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/missing-2015-honnibal-improved-non-monotonic-transition-system/) — Who cites «An Improved Non-monotonic Transition System for Dependency Parsing» - [missing-2015-honnibal-improved-non-monotonic-transition-system-2](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/missing-2015-honnibal-improved-non-monotonic-transition-system-2/) — Who cites «An Improved Non-monotonic Transition System for Dependency Parsing» · page 2 - [missing-2015-schneider-corpus-model-integrating-multiword-expressions](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/missing-2015-schneider-corpus-model-integrating-multiword-expressions/) — Who cites «A Corpus and Model Integrating Multiword Expressions and Supersenses» - [missing-2016-dozat-deep-biaffine-attention-neural-dependency](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/missing-2016-dozat-deep-biaffine-attention-neural-dependency/) — Who cites «Deep Biaffine Attention for Neural Dependency Parsing» - [missing-2016-dozat-deep-biaffine-attention-neural-dependency-2](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/missing-2016-dozat-deep-biaffine-attention-neural-dependency-2/) — Who cites «Deep Biaffine Attention for Neural Dependency Parsing» · page 2 - [missing-2016-dozat-deep-biaffine-attention-neural-dependency-3](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/missing-2016-dozat-deep-biaffine-attention-neural-dependency-3/) — Who cites «Deep Biaffine Attention for Neural Dependency Parsing» · page 3 - [missing-2016-dozat-deep-biaffine-attention-neural-dependency-4](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/missing-2016-dozat-deep-biaffine-attention-neural-dependency-4/) — Who cites «Deep Biaffine Attention for Neural Dependency Parsing» · page 4 - [missing-2016-dozat-deep-biaffine-attention-neural-dependency-5](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/missing-2016-dozat-deep-biaffine-attention-neural-dependency-5/) — Who cites «Deep Biaffine Attention for Neural Dependency Parsing» · page 5 - [missing-2016-dozat-deep-biaffine-attention-neural-dependency-6](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/missing-2016-dozat-deep-biaffine-attention-neural-dependency-6/) — Who cites «Deep Biaffine Attention for Neural Dependency Parsing» · page 6 - [missing-2016-dozat-deep-biaffine-attention-neural-dependency-7](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/missing-2016-dozat-deep-biaffine-attention-neural-dependency-7/) — Who cites «Deep Biaffine Attention for Neural Dependency Parsing» · page 7 - [missing4-2007-mcdonald-characterizing-errors-data-driven-dependency](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/missing4-2007-mcdonald-characterizing-errors-data-driven-dependency/) — Who cites «Characterizing the Errors of Data-Driven Dependency Parsing Models» - [missing4-2007-mcdonald-characterizing-errors-data-driven-dependency-2](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/missing4-2007-mcdonald-characterizing-errors-data-driven-dependency-2/) — Who cites «Characterizing the Errors of Data-Driven Dependency Parsing Models» · page 2 - [mitamura-1991-efficient-interlingua-translation-system-multi](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/mitamura-1991-efficient-interlingua-translation-system-multi/) — Who cites «An Efficient Interlingua Translation System for Multi-lingual Document Production» - [mitamura-1994-kant-knowledge-based-accurate-natural](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/mitamura-1994-kant-knowledge-based-accurate-natural/) — Who cites «KANT: Knowledge-Based, Accurate Natural Language Translation» - [mitamura-1995-controlled-english-knowledge-based-mt](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/mitamura-1995-controlled-english-knowledge-based-mt/) — Who cites «Controlled English for Knowledge-Based MT: Experience with the KANT System» - [mitra-2016-learning-use-formulas-solve-simple](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/mitra-2016-learning-use-formulas-solve-simple/) — Who cites «Learning To Use Formulas To Solve Simple Arithmetic Problems» - [mizumoto-2017-analyzing-impact-spelling-errors-pos](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/mizumoto-2017-analyzing-impact-spelling-errors-pos/) — Who cites «Analyzing the Impact of Spelling Errors on POS-Tagging and Chunking in Learner English» - [moosavi-2016-which-coreference-evaluation-metric-do](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/moosavi-2016-which-coreference-evaluation-metric-do/) — Who cites «Which Coreference Evaluation Metric Do You Trust? A Proposal for a Link-based Entity Aware Metric» - [moosavi-2017-lexical-features-coreference-resolution-be](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/moosavi-2017-lexical-features-coreference-resolution-be/) — Who cites «Lexical Features in Coreference Resolution: To be Used With Caution» - [moosavi-2018-linguistic-features-improve-generalization-capability](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/moosavi-2018-linguistic-features-improve-generalization-capability/) — Who cites «Using Linguistic Features to Improve the Generalization Capability of Neural Coreference Resolvers» - [moosavi-2019-automatically-extracted-minimum-spans-disentangle](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/moosavi-2019-automatically-extracted-minimum-spans-disentangle/) — Who cites «Using Automatically Extracted Minimum Spans to Disentangle Coreference Evaluation from Boundary Detection» - [morey-2017-how-much-progress-have-we](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/morey-2017-how-much-progress-have-we/) — Who cites «How much progress have we made on RST discourse parsing? A replication study of recent results on the RST-DT» - [morey-2018-dependency-perspective-rst-discourse-parsing](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/morey-2018-dependency-perspective-rst-discourse-parsing/) — Who cites «A Dependency Perspective on RST Discourse Parsing and Evaluation» - [muller-2023-germanic-syntax-constraint-based](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/muller-2023-germanic-syntax-constraint-based/) — Who cites «Germanic syntax: A constraint-based view» - [naacl-2018-zalmout-noise-robust-morphological-disambiguation-dialectal](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/naacl-2018-zalmout-noise-robust-morphological-disambiguation-dialectal/) — Who cites «Noise-Robust Morphological Disambiguation for Dialectal Arabic» - [nagata-2018-pos-tagging-model-adapted-learner](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/nagata-2018-pos-tagging-model-adapted-learner/) — Who cites «A POS Tagging Model Designed for Learner English» - [narayan-2016-unsupervised-sentence-simplification-deep-semantics](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/narayan-2016-unsupervised-sentence-simplification-deep-semantics/) — Who cites «Unsupervised Sentence Simplification Using Deep Semantics» - [narr-2023-yanko-temporal-relation-classification-hebrew](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/narr-2023-yanko-temporal-relation-classification-hebrew/) — Who cites «Temporal Relation Classification in Hebrew» - [narrative-2005-charniak-coarse-fine-n-best-parsing](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/narrative-2005-charniak-coarse-fine-n-best-parsing/) — Who cites «Coarse-to-Fine n-Best Parsing and MaxEnt Discriminative Reranking» - [narrative-2005-charniak-coarse-fine-n-best-parsing-2](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/narrative-2005-charniak-coarse-fine-n-best-parsing-2/) — Who cites «Coarse-to-Fine n-Best Parsing and MaxEnt Discriminative Reranking» · page 2 - [narrative-2005-charniak-coarse-fine-n-best-parsing-3](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/narrative-2005-charniak-coarse-fine-n-best-parsing-3/) — Who cites «Coarse-to-Fine n-Best Parsing and MaxEnt Discriminative Reranking» · page 3 - [narrative-2005-charniak-coarse-fine-n-best-parsing-4](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/narrative-2005-charniak-coarse-fine-n-best-parsing-4/) — Who cites «Coarse-to-Fine n-Best Parsing and MaxEnt Discriminative Reranking» · page 4 - [narrative-2005-charniak-coarse-fine-n-best-parsing-5](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/narrative-2005-charniak-coarse-fine-n-best-parsing-5/) — Who cites «Coarse-to-Fine n-Best Parsing and MaxEnt Discriminative Reranking» · page 5 - [narrative-2005-mcdonald-non-projective-dependency-parsing-spanning](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/narrative-2005-mcdonald-non-projective-dependency-parsing-spanning/) — Who cites «Non-Projective Dependency Parsing using Spanning Tree Algorithms» - [narrative-2005-mcdonald-non-projective-dependency-parsing-spanning-2](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/narrative-2005-mcdonald-non-projective-dependency-parsing-spanning-2/) — Who cites «Non-Projective Dependency Parsing using Spanning Tree Algorithms» · page 2 - [narrative-2005-mcdonald-non-projective-dependency-parsing-spanning-3](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/narrative-2005-mcdonald-non-projective-dependency-parsing-spanning-3/) — Who cites «Non-Projective Dependency Parsing using Spanning Tree Algorithms» · page 3 - [narrative-2005-mcdonald-non-projective-dependency-parsing-spanning-4](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/narrative-2005-mcdonald-non-projective-dependency-parsing-spanning-4/) — Who cites «Non-Projective Dependency Parsing using Spanning Tree Algorithms» · page 4 - [narrative-2005-mcdonald-non-projective-dependency-parsing-spanning-5](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/narrative-2005-mcdonald-non-projective-dependency-parsing-spanning-5/) — Who cites «Non-Projective Dependency Parsing using Spanning Tree Algorithms» · page 5 - [narrative-2005-mcdonald-online-large-margin-training-dependency](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/narrative-2005-mcdonald-online-large-margin-training-dependency/) — Who cites «Online Large-Margin Training of Dependency Parsers» - [narrative-2005-mcdonald-online-large-margin-training-dependency-2](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/narrative-2005-mcdonald-online-large-margin-training-dependency-2/) — Who cites «Online Large-Margin Training of Dependency Parsers» · page 2 - [narrative-2005-mcdonald-online-large-margin-training-dependency-3](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/narrative-2005-mcdonald-online-large-margin-training-dependency-3/) — Who cites «Online Large-Margin Training of Dependency Parsers» · page 3 - [narrative-2005-mcdonald-online-large-margin-training-dependency-4](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/narrative-2005-mcdonald-online-large-margin-training-dependency-4/) — Who cites «Online Large-Margin Training of Dependency Parsers» · page 4 - [narrative-2005-mcdonald-online-large-margin-training-dependency-5](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/narrative-2005-mcdonald-online-large-margin-training-dependency-5/) — Who cites «Online Large-Margin Training of Dependency Parsers» · page 5 - [narrative-2008-nivre-algorithms-deterministic-incremental-dependency-parsing](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/narrative-2008-nivre-algorithms-deterministic-incremental-dependency-parsing/) — Who cites «Algorithms for Deterministic Incremental Dependency Parsing» - [narrative-2008-nivre-algorithms-deterministic-incremental-dependency-parsing-2](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/narrative-2008-nivre-algorithms-deterministic-incremental-dependency-parsing-2/) — Who cites «Algorithms for Deterministic Incremental Dependency Parsing» · page 2 - [narrative-2008-nivre-algorithms-deterministic-incremental-dependency-parsing-3](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/narrative-2008-nivre-algorithms-deterministic-incremental-dependency-parsing-3/) — Who cites «Algorithms for Deterministic Incremental Dependency Parsing» · page 3 - [narrative-2016-kiperwasser-simple-accurate-dependency-parsing-bidirectional](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/narrative-2016-kiperwasser-simple-accurate-dependency-parsing-bidirectional/) — Who cites «Simple and Accurate Dependency Parsing Using Bidirectional LSTM Feature Representations» - [narrative-2016-kiperwasser-simple-accurate-dependency-parsing-bidirectional-2](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/narrative-2016-kiperwasser-simple-accurate-dependency-parsing-bidirectional-2/) — Who cites «Simple and Accurate Dependency Parsing Using Bidirectional LSTM Feature Representations» · page 2 - [narrative-2016-kiperwasser-simple-accurate-dependency-parsing-bidirectional-3](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/narrative-2016-kiperwasser-simple-accurate-dependency-parsing-bidirectional-3/) — Who cites «Simple and Accurate Dependency Parsing Using Bidirectional LSTM Feature Representations» · page 3 - [naseem-2022-docamr-multi-sentence-amr-representation](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/naseem-2022-docamr-multi-sentence-amr-representation/) — Who cites «DocAMR: Multi-Sentence AMR Representation and Evaluation» - [nedoluzhko-2021-coreference-meets-universal-dependencies](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/nedoluzhko-2021-coreference-meets-universal-dependencies/) — Who cites «Coreference meets Universal Dependencies – a pilot experiment on harmonizing coreference datasets for 11 languages» - [nedoluzhko-2022-corefud-1-0-coreference-meets](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/nedoluzhko-2022-corefud-1-0-coreference-meets/) — Who cites «CorefUD 1.0: Coreference Meets Universal Dependencies» - [ng-2010-supervised-noun-phrase-coreference-research](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/ng-2010-supervised-noun-phrase-coreference-research/) — Who cites «Supervised Noun Phrase Coreference Research: The First Fifteen Years» - [nicolai-2021-expanding-jhu-bible-corpus-machine](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/nicolai-2021-expanding-jhu-bible-corpus-machine/) — Who cites «Expanding the JHU Bible Corpus for Machine Translation of the Indigenous Languages of North America» - [niklaus-2019-dissim-discourse-aware-syntactic-text](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/niklaus-2019-dissim-discourse-aware-syntactic-text/) — Who cites «DisSim: A Discourse-Aware Syntactic Text Simplification Framework for English and German» - [ning-2020-torque-reading-comprehension-dataset-temporal](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/ning-2020-torque-reading-comprehension-dataset-temporal/) — Who cites «TORQUE: A Reading Comprehension Dataset of Temporal Ordering Questions» - [nirenburg-1986-knowledge-based-machine-translation](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/nirenburg-1986-knowledge-based-machine-translation/) — Who cites «On Knowledge-Based Machine Translation» - [nirenburg-1989-kbmt-89-knowledge-based-mt](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/nirenburg-1989-kbmt-89-knowledge-based-mt/) — Who cites «KBMT-89 - A knowledge-based MT project at Carnegie Mellon University» - [nivre-2004-incrementality-deterministic-dependency-parsing](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/nivre-2004-incrementality-deterministic-dependency-parsing/) — Who cites «Incrementality in Deterministic Dependency Parsing» - [nivre-2004-incrementality-deterministic-dependency-parsing-2](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/nivre-2004-incrementality-deterministic-dependency-parsing-2/) — Who cites «Incrementality in Deterministic Dependency Parsing» · page 2 - [nizamani-2024-siga-naturalistic-nli-dataset-english](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/nizamani-2024-siga-naturalistic-nli-dataset-english/) — Who cites «SIGA: A Naturalistic NLI Dataset of English Scalar Implicatures with Gradable Adjectives» - [nlpgap-2007-clark-wide-coverage-efficient-statistical-parsing](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/nlpgap-2007-clark-wide-coverage-efficient-statistical-parsing/) — Who cites «Wide-Coverage Efficient Statistical Parsing with CCG and Log-Linear Models» - [nlpgap-2007-clark-wide-coverage-efficient-statistical-parsing-2](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/nlpgap-2007-clark-wide-coverage-efficient-statistical-parsing-2/) — Who cites «Wide-Coverage Efficient Statistical Parsing with CCG and Log-Linear Models» · page 2 - [nlpgap-2007-clark-wide-coverage-efficient-statistical-parsing-3](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/nlpgap-2007-clark-wide-coverage-efficient-statistical-parsing-3/) — Who cites «Wide-Coverage Efficient Statistical Parsing with CCG and Log-Linear Models» · page 3 - [nlpgap-2014-kao-nonliteral-understanding-number-words](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/nlpgap-2014-kao-nonliteral-understanding-number-words/) — Who cites «Nonliteral understanding of number words» - [noble-2021-large-scale-text-pre-training](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/noble-2021-large-scale-text-pre-training/) — Who cites «Large-scale text pre-training helps with dialogue act recognition, but not without fine-tuning» - [noord-1990-reversible-unification-based-machine-translation](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/noord-1990-reversible-unification-based-machine-translation/) — Who cites «Reversible Unification Based Machine Translation» - [novak-2013-translation-it-deep-syntax-framework](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/novak-2013-translation-it-deep-syntax-framework/) — Who cites «Translation of "It" in a Deep Syntax Framework» - [novak-2025-findings-fourth-shared-task-multilingual](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/novak-2025-findings-fourth-shared-task-multilingual/) — Who cites «Findings of the Fourth Shared Task on Multilingual Coreference Resolution: Can LLMs Dethrone Traditional Approaches?» - [novak-2026-findings-fifth-shared-task-multilingual](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/novak-2026-findings-fifth-shared-task-multilingual/) — Who cites «Findings of the Fifth Shared Task on Multilingual Coreference Resolution: Expanding Datasets for Long-Range Entities» - [nyberg-1994-evaluation-metrics-knowledge-based-machine](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/nyberg-1994-evaluation-metrics-knowledge-based-machine/) — Who cites «Evaluation Metrics for Knowledge-Based Machine Translation» - [oberlander-1992-preventing-false-temporal-implicatures-interactive](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/oberlander-1992-preventing-false-temporal-implicatures-interactive/) — Who cites «Preventing False Temporal Implicatures: Interactive Defaults for Text Generation» [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**[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](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/page/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/)