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[cl-2024-toporkov-role-morphological-information-contextual-lemmatization](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/cl-2024-toporkov-role-morphological-information-contextual-lemmatization/) — Who cites «On the Role of Morphological Information for Contextual Lemmatization» - [cocos-2018-learning-scalar-adjective-intensity-paraphrases](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/cocos-2018-learning-scalar-adjective-intensity-paraphrases/) — Who cites «Learning Scalar Adjective Intensity from Paraphrases» - [coleman-2024-llm-assisted-rule-based-machine](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/coleman-2024-llm-assisted-rule-based-machine/) — Who cites «LLM-Assisted Rule Based Machine Translation for Low/No-Resource Languages» - [coling-2018-amram-representations-architectures-neural-sentiment-analysis](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/coling-2018-amram-representations-architectures-neural-sentiment-analysis/) — Who cites «Representations and Architectures in Neural Sentiment Analysis for Morphologically Rich Languages: A Case Study from Modern Hebrew» - [coling-2024-elmallah-arabic-diacritization-morphologically-informed-character](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/coling-2024-elmallah-arabic-diacritization-morphologically-informed-character/) — Who cites «Arabic Diacritization Using Morphologically Informed Character-Level Model» - [coling-2024-khairallah-camel-morph-msa-large-scale](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/coling-2024-khairallah-camel-morph-msa-large-scale/) — Who cites «Camel Morph MSA: A Large-Scale Open-Source Morphological Analyzer for Modern Standard Arabic» - [coling-2024-lan-israparltweet-israeli-parliamentary-twitter-resource](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/coling-2024-lan-israparltweet-israeli-parliamentary-twitter-resource/) — Who cites «IsraParlTweet: The Israeli Parliamentary and Twitter Resource» - [coling-2024-smidt-crossroad-cuneiform-nlp-challenges-fine](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/coling-2024-smidt-crossroad-cuneiform-nlp-challenges-fine/) — Who cites «At the Crossroad of Cuneiform and NLP: Challenges for Fine-grained Part-of-speech Tagging» - [collins-2000-discriminative-reranking-natural-language-parsing](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/collins-2000-discriminative-reranking-natural-language-parsing/) — Who cites «Discriminative Reranking for Natural Language Parsing» - [collins-2000-discriminative-reranking-natural-language-parsing-2](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/collins-2000-discriminative-reranking-natural-language-parsing-2/) — Who cites «Discriminative Reranking for Natural Language Parsing» · page 2 - [collins-2000-discriminative-reranking-natural-language-parsing-3](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/collins-2000-discriminative-reranking-natural-language-parsing-3/) — Who cites «Discriminative Reranking for Natural Language Parsing» · page 3 - [collins-2002-discriminative-training-methods-hidden-markov](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/collins-2002-discriminative-training-methods-hidden-markov/) — Who cites «Discriminative Training Methods for Hidden Markov Models: Theory and Experiments with Perceptron Algorithms» - [collins-2002-discriminative-training-methods-hidden-markov-2](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/collins-2002-discriminative-training-methods-hidden-markov-2/) — Who cites «Discriminative Training Methods for Hidden Markov Models: Theory and Experiments with Perceptron Algorithms» · page 2 - [collins-2002-discriminative-training-methods-hidden-markov-3](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/collins-2002-discriminative-training-methods-hidden-markov-3/) — Who cites «Discriminative Training Methods for Hidden Markov Models: Theory and Experiments with Perceptron Algorithms» · page 3 - [collins-2002-discriminative-training-methods-hidden-markov-4](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/collins-2002-discriminative-training-methods-hidden-markov-4/) — Who cites «Discriminative Training Methods for Hidden Markov Models: Theory and Experiments with Perceptron Algorithms» · page 4 - [collins-2002-discriminative-training-methods-hidden-markov-5](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/collins-2002-discriminative-training-methods-hidden-markov-5/) — Who cites «Discriminative Training Methods for Hidden Markov Models: Theory and Experiments with Perceptron Algorithms» · page 5 - [collins-2002-discriminative-training-methods-hidden-markov-6](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/collins-2002-discriminative-training-methods-hidden-markov-6/) — Who cites «Discriminative Training Methods for Hidden Markov Models: Theory and Experiments with Perceptron Algorithms» · page 6 - [collins-2002-discriminative-training-methods-hidden-markov-7](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/collins-2002-discriminative-training-methods-hidden-markov-7/) — Who cites «Discriminative Training Methods for Hidden Markov Models: Theory and Experiments with Perceptron Algorithms» · page 7 - [collins-2004-incremental-parsing-perceptron-algorithm](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/collins-2004-incremental-parsing-perceptron-algorithm/) — Who cites «Incremental Parsing with the Perceptron Algorithm» - [collins-2004-incremental-parsing-perceptron-algorithm-2](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/collins-2004-incremental-parsing-perceptron-algorithm-2/) — Who cites «Incremental Parsing with the Perceptron Algorithm» · page 2 - [commonsense-2020-mostafazadeh-glucose-generalized-contextualized-story-explanations](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/commonsense-2020-mostafazadeh-glucose-generalized-contextualized-story-explanations/) — Who cites «GLUCOSE: GeneraLized and COntextualized Story Explanations» - [continual-2006-mcdonald-online-learning-approximate-dependency-parsing](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/continual-2006-mcdonald-online-learning-approximate-dependency-parsing/) — Who cites «Online Learning of Approximate Dependency Parsing Algorithms» - [continual-2006-mcdonald-online-learning-approximate-dependency-parsing-2](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/continual-2006-mcdonald-online-learning-approximate-dependency-parsing-2/) — Who cites «Online Learning of Approximate Dependency Parsing Algorithms» · page 2 - [continual-2006-mcdonald-online-learning-approximate-dependency-parsing-3](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/continual-2006-mcdonald-online-learning-approximate-dependency-parsing-3/) — Who cites «Online Learning of Approximate Dependency Parsing Algorithms» · page 3 - [copestake-1995-translation-minimal-recursion-semantics](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/copestake-1995-translation-minimal-recursion-semantics/) — Who cites «Translation using Minimal Recursion Semantics» - [coppock-2013-raising-resolving-issues-scalar-modifiers](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/coppock-2013-raising-resolving-issues-scalar-modifiers/) — Who cites «Raising and resolving issues with scalar modifiers» - [corbetta-2025-guillemotleftare-you-afraid-ghosts-guillemotright](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/corbetta-2025-guillemotleftare-you-afraid-ghosts-guillemotright/) — Who cites ««Are you Afraid of Ghosts?» A Proposal for Busting Predicate Ellipsis in Universal Dependencies» - [coref-2021-popel-do-ud-trees-match-mention](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/coref-2021-popel-do-ud-trees-match-mention/) — Who cites «Do UD Trees Match Mention Spans in Coreference Annotations?» - [coref-2024-swanson-named-entity-coreference-annotation-hebrew](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/coref-2024-swanson-named-entity-coreference-annotation-hebrew/) — Who cites «Towards Named-Entity and Coreference Annotation of the Hebrew Bible» - [corkery-2019-are-we-there-yet-encoder](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/corkery-2019-are-we-there-yet-encoder/) — Who cites «Are we there yet? Encoder-decoder neural networks as cognitive models of English past tense inflection» - [costa-2023-mapping-explicit-implicit-discourse-relations](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/costa-2023-mapping-explicit-implicit-discourse-relations/) — Who cites «Mapping Explicit and Implicit Discourse Relations between the RST-DT and the PDTB 3.0» - [crible-2017-discourse-markers-speech-distinctive-features](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/crible-2017-discourse-markers-speech-distinctive-features/) — Who cites «Discourse Markers in Speech: Distinctive Features and Corpus Annotation» - [ctx-2025-saeed-lemmatization-as-classification-task-results](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/ctx-2025-saeed-lemmatization-as-classification-task-results/) — Who cites «Lemmatization as a Classification Task: Results from Arabic across Multiple Genres» - [cuscito-2024-bert-speaks-shakespearean-english-evaluating](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/cuscito-2024-bert-speaks-shakespearean-english-evaluating/) — Who cites «How BERT Speaks Shakespearean English? Evaluating Historical Bias in Contextual Language Models» - [cuskley-2014-internal-external-dynamics-language-evidence](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/cuskley-2014-internal-external-dynamics-language-evidence/) — Who cites «Internal and external dynamics in language: Evidence from verb regularity in a historical corpus of English» - [daelemans-1997-igtree-trees-compression-classification-lazy](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/daelemans-1997-igtree-trees-compression-classification-lazy/) — Who cites «IGTree: Using Trees for Compression and Classification in Lazy Learning Algorithms» - [dale-1995-computational-interpretations-gricean-maxims-generation](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/dale-1995-computational-interpretations-gricean-maxims-generation/) — Who cites «Computational Interpretations of the Gricean Maxims in the Generation of Referring Expressions» - [dale-1995-computational-interpretations-gricean-maxims-generation-2](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/dale-1995-computational-interpretations-gricean-maxims-generation-2/) — Who cites «Computational Interpretations of the Gricean Maxims in the Generation of Referring Expressions» · page 2 - [dale-1996-role-gricean-maxims-generation-referring](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/dale-1996-role-gricean-maxims-generation-referring/) — Who cites «The Role of the Gricean Maxims in the Generation of Referring Expressions» - [damgaard-2021-i-ll-be-there-you](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/damgaard-2021-i-ll-be-there-you/) — Who cites «"I'll be there for you": The One with Understanding Indirect Answers» - [das-2018-constructing-lexicon-english-discourse-connectives](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/das-2018-constructing-lexicon-english-discourse-connectives/) — Who cites «Constructing a Lexicon of English Discourse Connectives» - [dasigi-2019-quoref-reading-comprehension-dataset-questions](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/dasigi-2019-quoref-reading-comprehension-dataset-questions/) — Who cites «Quoref: A Reading Comprehension Dataset with Questions Requiring Coreferential Reasoning» - [dasigi-2019-quoref-reading-comprehension-dataset-questions-2](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/dasigi-2019-quoref-reading-comprehension-dataset-questions-2/) — Who cites «Quoref: A Reading Comprehension Dataset with Questions Requiring Coreferential Reasoning» · page 2 - [deemter-2000-coreferring-coreference-muc-related-annotation](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/deemter-2000-coreferring-coreference-muc-related-annotation/) — Who cites «On Coreferring: Coreference in MUC and Related Annotation Schemes» - [degen-2015-investigating-distribution-some-but-not](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/degen-2015-investigating-distribution-some-but-not/) — Who cites «Investigating the distribution of some (but not all) implicatures using corpora and web-based methods» - [dekker-2020-synthetic-data-english-lexical-normalization](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/dekker-2020-synthetic-data-english-lexical-normalization/) — Who cites «Synthetic Data for English Lexical Normalization: How Close Can We Get to Manually Annotated Data?» - [demarneffe-2021-universal-dependencies](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/demarneffe-2021-universal-dependencies/) — Who cites «Universal Dependencies» - [demarneffe-2021-universal-dependencies-2](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/demarneffe-2021-universal-dependencies-2/) — Who cites «Universal Dependencies» · page 2 - [demarneffe-2021-universal-dependencies-3](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/demarneffe-2021-universal-dependencies-3/) — Who cites «Universal Dependencies» · page 3 - [demarneffe-2021-universal-dependencies-4](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/demarneffe-2021-universal-dependencies-4/) — Who cites «Universal Dependencies» · page 4 - [demarneffe-2021-universal-dependencies-5](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/demarneffe-2021-universal-dependencies-5/) — Who cites «Universal Dependencies» · page 5 - [deng-2017-translation-divergences-chinese-english-machine](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/deng-2017-translation-divergences-chinese-english-machine/) — Who cites «Translation Divergences in Chinese–English Machine Translation: An Empirical Investigation» - [deutsch-2018-distributional-orthographic-aggregation-model-english](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/deutsch-2018-distributional-orthographic-aggregation-model-english/) — Who cites «A Distributional and Orthographic Aggregation Model for English Derivational Morphology» - [dickinson-2009-correcting-dependency-annotation-errors](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/dickinson-2009-correcting-dependency-annotation-errors/) — Who cites «Correcting Dependency Annotation Errors» - [dickinson-2015-grammaticality-syntactic-annotation-learner-language](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/dickinson-2015-grammaticality-syntactic-annotation-learner-language/) — Who cites «On Grammaticality in the Syntactic Annotation of Learner Language» - [ding-2005-machine-translation-probabilistic-synchronous-dependency](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/ding-2005-machine-translation-probabilistic-synchronous-dependency/) — Who cites «Machine Translation Using Probabilistic Synchronous Dependency Insertion Grammars» - [disc-2008-prasad-penn-discourse-treebank-2-0](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/disc-2008-prasad-penn-discourse-treebank-2-0/) — Who cites «The Penn Discourse TreeBank 2.0.» - [disc-2008-prasad-penn-discourse-treebank-2-0-2](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/disc-2008-prasad-penn-discourse-treebank-2-0-2/) — Who cites «The Penn Discourse TreeBank 2.0.» · page 2 - [disc-2008-prasad-penn-discourse-treebank-2-0-3](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/disc-2008-prasad-penn-discourse-treebank-2-0-3/) — Who cites «The Penn Discourse TreeBank 2.0.» · page 3 - [disc-2008-prasad-penn-discourse-treebank-2-0-4](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/disc-2008-prasad-penn-discourse-treebank-2-0-4/) — Who cites «The Penn Discourse TreeBank 2.0.» · page 4 - [disc-2008-prasad-penn-discourse-treebank-2-0-5](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/disc-2008-prasad-penn-discourse-treebank-2-0-5/) — Who cites «The Penn Discourse TreeBank 2.0.» · page 5 - [disc-2008-prasad-penn-discourse-treebank-2-0-6](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/disc-2008-prasad-penn-discourse-treebank-2-0-6/) — Who cites «The Penn Discourse TreeBank 2.0.» · page 6 - [disc-2008-prasad-penn-discourse-treebank-2-0-7](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/disc-2008-prasad-penn-discourse-treebank-2-0-7/) — Who cites «The Penn Discourse TreeBank 2.0.» · page 7 - [disc-2009-pitler-automatic-sense-prediction-implicit-discourse](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/disc-2009-pitler-automatic-sense-prediction-implicit-discourse/) — Who cites «Automatic sense prediction for implicit discourse relations in text» - [disc-2009-pitler-automatic-sense-prediction-implicit-discourse-2](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/disc-2009-pitler-automatic-sense-prediction-implicit-discourse-2/) — Who cites «Automatic sense prediction for implicit discourse relations in text» · page 2 - [domaneschi-2017-bias-polar-questions-evidence-english](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/domaneschi-2017-bias-polar-questions-evidence-english/) — Who cites «Bias in polar questions: Evidence from English and German production experiments» - [domingo-2018-spelling-normalization-historical-documents-machine](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/domingo-2018-spelling-normalization-historical-documents-machine/) — Who cites «Spelling Normalization of Historical Documents by Using a Machine Translation Approach» - [donatelli-2018-annotation-tense-aspect-semantics-sentential](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/donatelli-2018-annotation-tense-aspect-semantics-sentential/) — Who cites «Annotation of Tense and Aspect Semantics for Sentential AMR» - [donicke-2020-identifying-handling-cross-treebank-inconsistencies](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/donicke-2020-identifying-handling-cross-treebank-inconsistencies/) — Who cites «Identifying and Handling Cross-Treebank Inconsistencies in UD: A Pilot Study» - [dorna-1998-syntactic-semantic-transfer-f-structures](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/dorna-1998-syntactic-semantic-transfer-f-structures/) — Who cites «Syntactic and Semantic Transfer with F-Structures» - [dorr-1990-solving-thematic-divergences-machine-translation](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/dorr-1990-solving-thematic-divergences-machine-translation/) — Who cites «Solving Thematic Divergences in Machine Translation» - [dorr-1994-machine-translation-divergences-formal-description](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/dorr-1994-machine-translation-divergences-formal-description/) — Who cites «Machine Translation Divergences: A Formal Description and Proposed Solution» - [dorr-1997-compact-monotonically-compositional-interlingua-lexical](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/dorr-1997-compact-monotonically-compositional-interlingua-lexical/) — Who cites «Toward compact monotonically compositional interlingua using lexical aspect» - [dua-2019-drop-reading-comprehension-benchmark-requiring](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/dua-2019-drop-reading-comprehension-benchmark-requiring/) — Who cites «DROP: A Reading Comprehension Benchmark Requiring Discrete Reasoning Over Paragraphs» - [dua-2019-drop-reading-comprehension-benchmark-requiring-2](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/dua-2019-drop-reading-comprehension-benchmark-requiring-2/) — Who cites «DROP: A Reading Comprehension Benchmark Requiring Discrete Reasoning Over Paragraphs» · page 2 - [dua-2019-drop-reading-comprehension-benchmark-requiring-3](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/dua-2019-drop-reading-comprehension-benchmark-requiring-3/) — Who cites «DROP: A Reading Comprehension Benchmark Requiring Discrete Reasoning Over Paragraphs» · page 3 - [dua-2019-drop-reading-comprehension-benchmark-requiring-4](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/dua-2019-drop-reading-comprehension-benchmark-requiring-4/) — Who cites «DROP: A Reading Comprehension Benchmark Requiring Discrete Reasoning Over Paragraphs» · page 4 - [dua-2019-drop-reading-comprehension-benchmark-requiring-5](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/dua-2019-drop-reading-comprehension-benchmark-requiring-5/) — Who cites «DROP: A Reading Comprehension Benchmark Requiring Discrete Reasoning Over Paragraphs» · page 5 - [dua-2019-drop-reading-comprehension-benchmark-requiring-6](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/dua-2019-drop-reading-comprehension-benchmark-requiring-6/) — Who cites «DROP: A Reading Comprehension Benchmark Requiring Discrete Reasoning Over Paragraphs» · page 6 - [dunn-2019-modeling-global-syntactic-variation-english](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/dunn-2019-modeling-global-syntactic-variation-english/) — Who cites «Modeling Global Syntactic Variation in English Using Dialect Classification» - [dunn-2021-finding-variants-construction-based-dialectometry](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/dunn-2021-finding-variants-construction-based-dialectometry/) — Who cites «Finding Variants for Construction-Based Dialectometry: A Corpus-Based Approach to Regional CxGs» - [durrett-2013-easy-victories-uphill-battles-coreference](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/durrett-2013-easy-victories-uphill-battles-coreference/) — Who cites «Easy Victories and Uphill Battles in Coreference Resolution» - [durrett-2013-easy-victories-uphill-battles-coreference-2](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/durrett-2013-easy-victories-uphill-battles-coreference-2/) — Who cites «Easy Victories and Uphill Battles in Coreference Resolution» · page 2 - [dusek-2012-formemes-english-czech-deep-syntactic](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/dusek-2012-formemes-english-czech-deep-syntactic/) — Who cites «Formemes in English-Czech Deep Syntactic MT» - [dymetman-1991-inherently-reversible-grammars-logic-programming](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/dymetman-1991-inherently-reversible-grammars-logic-programming/) — Who cites «Inherently Reversible Grammars, Logic Programming and Computability» - [dzendzik-2021-english-machine-reading-comprehension-datasets](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/dzendzik-2021-english-machine-reading-comprehension-datasets/) — Who cites «English Machine Reading Comprehension Datasets: A Survey» - [eacl-2021-aralikatte-ellipsis-resolution-as-question-answering](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/eacl-2021-aralikatte-ellipsis-resolution-as-question-answering/) — Who cites «Ellipsis Resolution as Question Answering: An Evaluation» - [eacl-2021-weise-talk-me-left-right-angles](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/eacl-2021-weise-talk-me-left-right-angles/) — Who cites «"Talk to me with left, right, and angles": Lexical entrainment in spoken Hebrew dialogue» - [eacl-2023-shmidman-do-pretrained-contextual-language-models](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/eacl-2023-shmidman-do-pretrained-contextual-language-models/) — Who cites «Do Pretrained Contextual Language Models Distinguish between Hebrew Homograph Analyses?» - [eacl-2024-levi-truly-joint-neural-architecture-segmentation](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/eacl-2024-levi-truly-joint-neural-architecture-segmentation/) — Who cites «A Truly Joint Neural Architecture for Segmentation and Parsing» - [eacl-2024-toker-dataset-metaphor-detection-early-medieval](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/eacl-2024-toker-dataset-metaphor-detection-early-medieval/) — Who cites «A Dataset for Metaphor Detection in Early Medieval Hebrew Poetry» - [eacl-2026-mubarak-nahw-comprehensive-benchmark-arabic-grammar](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/eacl-2026-mubarak-nahw-comprehensive-benchmark-arabic-grammar/) — Who cites «Nahw: A Comprehensive Benchmark of Arabic Grammar Understanding, Error Detection, Correction, and Explanation» - [eder-2021-acquiring-formality-informed-lexical-resource](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/eder-2021-acquiring-formality-informed-lexical-resource/) — Who cites «Acquiring a Formality-Informed Lexical Resource for Style Analysis» - [edmonds-1998-translating-near-synonyms-possibilities-preferences](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/edmonds-1998-translating-near-synonyms-possibilities-preferences/) — Who cites «Translating near-synonyms: Possibilities and preferences in the interlingua» - [egedi-1994-freely-available-syntactic-lexicon-english](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/egedi-1994-freely-available-syntactic-lexicon-english/) — Who cites «A Freely Available Syntactic Lexicon for English» - 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