[Mova](https://md.mova.elamur.ai/free/en/) · [this page in HTML](https://mova.elamur.ai/free/en/docs/papers/cited-by/page/10/) [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 10 # 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**[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](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/) - [kubler-2011-singletons-coreference-resolution-evaluation](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/kubler-2011-singletons-coreference-resolution-evaluation/) — Who cites «Singletons and Coreference Resolution Evaluation» - [kulick-2012-further-developments-treebank-error-detection](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/kulick-2012-further-developments-treebank-error-detection/) — Who cites «Further Developments in Treebank Error Detection Using Derivation Trees» - [kulick-2022-parsing-early-modern-english-linguistic](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/kulick-2022-parsing-early-modern-english-linguistic/) — Who cites «Parsing Early Modern English for Linguistic Search» - [kulkarni-2018-simple-models-word-formation-english](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/kulkarni-2018-simple-models-word-formation-english/) — Who cites «Simple Models for Word Formation in English Slang» - [kummerfeld-2013-error-driven-analysis-challenges-coreference](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/kummerfeld-2013-error-driven-analysis-challenges-coreference/) — Who cites «Error-Driven Analysis of Challenges in Coreference Resolution» - [kunz-2016-beyond-identity-coreference-contrasting-indicators](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/kunz-2016-beyond-identity-coreference-contrasting-indicators/) — Who cites «Beyond Identity Coreference: Contrasting Indicators of Textual Coherence in English and German» - [kuthy-2018-qud-based-annotation-discourse-structure](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/kuthy-2018-qud-based-annotation-discourse-structure/) — Who cites «QUD-Based Annotation of Discourse Structure and Information Structure: Tool and Evaluation» - [kyle-2022-dependency-treebank-spoken-second-language](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/kyle-2022-dependency-treebank-spoken-second-language/) — Who cites «A Dependency Treebank of Spoken Second Language English» - [labutov-2018-multi-relational-question-answering-narratives](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/labutov-2018-multi-relational-question-answering-narratives/) — Who cites «Multi-Relational Question Answering from Narratives: Machine Reading and Reasoning in Simulated Worlds» - [lai-2017-race-large-scale-reading-comprehension](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/lai-2017-race-large-scale-reading-comprehension/) — Who cites «RACE: Large-scale ReAding Comprehension Dataset From Examinations» - [lai-2017-race-large-scale-reading-comprehension-2](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/lai-2017-race-large-scale-reading-comprehension-2/) — Who cites «RACE: Large-scale ReAding Comprehension Dataset From Examinations» · page 2 - [lai-2017-race-large-scale-reading-comprehension-3](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/lai-2017-race-large-scale-reading-comprehension-3/) — Who cites «RACE: Large-scale ReAding Comprehension Dataset From Examinations» · page 3 - [lai-2017-race-large-scale-reading-comprehension-4](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/lai-2017-race-large-scale-reading-comprehension-4/) — Who cites «RACE: Large-scale ReAding Comprehension Dataset From Examinations» · page 4 - [lai-2017-race-large-scale-reading-comprehension-5](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/lai-2017-race-large-scale-reading-comprehension-5/) — Who cites «RACE: Large-scale ReAding Comprehension Dataset From Examinations» · page 5 - [lai-2017-race-large-scale-reading-comprehension-6](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/lai-2017-race-large-scale-reading-comprehension-6/) — Who cites «RACE: Large-scale ReAding Comprehension Dataset From Examinations» · page 6 - [lai-2017-race-large-scale-reading-comprehension-7](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/lai-2017-race-large-scale-reading-comprehension-7/) — Who cites «RACE: Large-scale ReAding Comprehension Dataset From Examinations» · page 7 - [lakoff-1973-hedges-study-meaning-criteria](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/lakoff-1973-hedges-study-meaning-criteria/) — Who cites «Hedges: A Study in Meaning Criteria and the Logic of Fuzzy Concepts» - [lal-2021-tellmewhy-dataset-answering-why-questions](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/lal-2021-tellmewhy-dataset-answering-why-questions/) — Who cites «TellMeWhy: A Dataset for Answering Why-Questions in Narratives» - [lameris-2021-whit-s-richt-pairt-o](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/lameris-2021-whit-s-richt-pairt-o/) — Who cites «Whit's the Richt Pairt o Speech: PoS tagging for Scots» - [lamoure-2023-two-ways-agree-d-n1](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/lamoure-2023-two-ways-agree-d-n1/) — Who cites «Two ways to agree in D\[N1&N2\] constructions – Romance left-conjunct agreement and Germanic morphologically resolved agreement» - [landsbergen-1989-rosetta-project](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/landsbergen-1989-rosetta-project/) — Who cites «The Rosetta project» - [langsci-b123-gutman-attributive-constructions-north-eastern-neo](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/langsci-b123-gutman-attributive-constructions-north-eastern-neo/) — Who cites «Attributive Constructions in North-Eastern Neo-Aramaic» - [langsci-b271-kastner-voice-at-interfaces](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/langsci-b271-kastner-voice-at-interfaces/) — Who cites «Voice at the Interfaces: The Syntax, Semantics, and Morphology of the Hebrew Verb» - [langstream-2012-el-shishtawy-accurate-arabic-root-based-lemmatizer](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/langstream-2012-el-shishtawy-accurate-arabic-root-based-lemmatizer/) — Who cites «An Accurate Arabic Root-Based Lemmatizer for Information Retrieval Purposes» - [langstream-2012-froud-comparative-study-root-based-stem](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/langstream-2012-froud-comparative-study-root-based-stem/) — Who cites «A Comparative Study of Root-Based and Stem-Based Approaches for Measuring the Similarity between Arabic Words» - [langstream-2014-el-shishtawy-lemma-based-evaluator-semitic-language](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/langstream-2014-el-shishtawy-lemma-based-evaluator-semitic-language/) — Who cites «A Lemma Based Evaluator for Semitic Language Text Summarization Systems» - [langstream-2014-martinez-jabalin-comprehensive-computational-model-modern](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/langstream-2014-martinez-jabalin-comprehensive-computational-model-modern/) — Who cites «Jabalin: a Comprehensive Computational Model of Modern Standard Arabic Verbal Morphology Based on Traditional Arabic Prosody» - [langstream-2014-roorda-annotation-new-paradigm-research-archiving](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/langstream-2014-roorda-annotation-new-paradigm-research-archiving/) — Who cites «Annotation as a New Paradigm in Research Archiving» - [langstream-2015-botha-probabilistic-modelling-morphologically-rich-languages](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/langstream-2015-botha-probabilistic-modelling-morphologically-rich-languages/) — Who cites «Probabilistic Modelling of Morphologically Rich Languages» - [langstream-2015-dukes-statistical-parsing-machine-learning-classical](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/langstream-2015-dukes-statistical-parsing-machine-learning-classical/) — Who cites «Statistical Parsing by Machine Learning from a Classical Arabic Treebank» - [langstream-2016-belinkov-large-scale-machine-translation-between](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/langstream-2016-belinkov-large-scale-machine-translation-between/) — Who cites «Large-Scale Machine Translation between Arabic and Hebrew: Available Corpora and Initial Results» - [langstream-2016-cettolo-arabic-hebrew-parallel-corpus-ted](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/langstream-2016-cettolo-arabic-hebrew-parallel-corpus-ted/) — Who cites «An Arabic-Hebrew parallel corpus of TED talks» - [langstream-2017-eldesouki-arabic-multi-dialect-segmentation-bi](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/langstream-2017-eldesouki-arabic-multi-dialect-segmentation-bi/) — Who cites «Arabic Multi-Dialect Segmentation: bi-LSTM-CRF vs. SVM» - [langstream-2017-sakakini-fixing-infix-unsupervised-discovery-root](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/langstream-2017-sakakini-fixing-infix-unsupervised-discovery-root/) — Who cites «Fixing the Infix: Unsupervised Discovery of Root-and-Pattern Morphology» - [langstream-2019-neme-restoring-arabic-vowels-through-omission](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/langstream-2019-neme-restoring-arabic-vowels-through-omission/) — Who cites «Restoring Arabic vowels through omission-tolerant dictionary lookup» - [langstream-2019-taji-arabic-dependency-treebank-travel-domain](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/langstream-2019-taji-arabic-dependency-treebank-travel-domain/) — Who cites «An Arabic Dependency Treebank in the Travel Domain» - [langstream-2020-fetaya-restoration-fragmentary-babylonian-texts-using](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/langstream-2020-fetaya-restoration-fragmentary-babylonian-texts-using/) — Who cites «Restoration of Fragmentary Babylonian Texts Using Recurrent Neural Networks» - [langstream-2020-halabi-i3rab-new-arabic-dependency-treebank](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/langstream-2020-halabi-i3rab-new-arabic-dependency-treebank/) — Who cites «I3rab: A New Arabic Dependency Treebank Based on Arabic Grammatical Theory» - [langstream-2021-chriqui-hebert-hebemo-hebrew-bert-model](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/langstream-2021-chriqui-hebert-hebemo-hebrew-bert-model/) — Who cites «HeBERT & HebEMO: a Hebrew BERT Model and a Tool for Polarity Analysis and Emotion Recognition» - [langstream-2021-seker-alephbert-hebrew-large-pre-trained](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/langstream-2021-seker-alephbert-hebrew-large-pre-trained/) — Who cites «AlephBERT: A Hebrew Large Pre-Trained Language Model to Start-off your Hebrew NLP Application With» - [langstream-2021-szubert-cross-linguistically-consistent-semantic-syntactic](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/langstream-2021-szubert-cross-linguistically-consistent-semantic-syntactic/) — Who cites «Cross-linguistically Consistent Semantic and Syntactic Annotation of Child-directed Speech» - [langstream-2023-gueta-explicit-morphological-knowledge-improves-pre](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/langstream-2023-gueta-explicit-morphological-knowledge-improves-pre/) — Who cites «Explicit Morphological Knowledge Improves Pre-training of Language Models for Hebrew» - [langstream-2023-hamad-offensive-hebrew-corpus-detection-using](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/langstream-2023-hamad-offensive-hebrew-corpus-detection-using/) — Who cites «Offensive Hebrew Corpus and Detection using BERT» - [langstream-2023-marmor-ivrit-ai-comprehensive-dataset-hebrew](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/langstream-2023-marmor-ivrit-ai-comprehensive-dataset-hebrew/) — Who cites «ivrit.ai: A Comprehensive Dataset of Hebrew Speech for AI Research and Development» - [langstream-2023-shalumov-hero-roberta-longformer-hebrew-language](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/langstream-2023-shalumov-hero-roberta-longformer-hebrew-language/) — Who cites «HeRo: RoBERTa and Longformer Hebrew Language Models» - [langstream-2023-shmidman-introducing-dictalm-large-generative-language](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/langstream-2023-shmidman-introducing-dictalm-large-generative-language/) — Who cites «Introducing DictaLM -- A Large Generative Language Model for Modern Hebrew» - [langstream-2024-alrefaie-exploring-tokenization-strategies-vocabulary-sizes](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/langstream-2024-alrefaie-exploring-tokenization-strategies-vocabulary-sizes/) — Who cites «Exploring Tokenization Strategies and Vocabulary Sizes for Enhanced Arabic Language Models» - [langstream-2024-goldin-knesset-dictabert-hebrew-language-model](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/langstream-2024-goldin-knesset-dictabert-hebrew-language-model/) — Who cites «Knesset-DictaBERT: A Hebrew Language Model for Parliamentary Proceedings» - [langstream-2024-mahon-language-agnostic-model-child-language](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/langstream-2024-mahon-language-agnostic-model-child-language/) — Who cites «A Language-agnostic Model of Child Language Acquisition» - [langstream-2024-majeed-ancient-but-digitized-developing-handwritten](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/langstream-2024-majeed-ancient-but-digitized-developing-handwritten/) — Who cites «Ancient but Digitized: Developing Handwritten Optical Character Recognition for East Syriac Script Through Creating KHAMIS Dataset» - [langstream-2024-popovic-dating-ancient-manuscripts-using-radiocarbon](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/langstream-2024-popovic-dating-ancient-manuscripts-using-radiocarbon/) — Who cites «Dating ancient manuscripts using radiocarbon and AI-based writing style analysis» - [langstream-2024-roth-language-modeling-approach-diacritic-free](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/langstream-2024-roth-language-modeling-approach-diacritic-free/) — Who cites «A Language Modeling Approach to Diacritic-Free Hebrew TTS» - [langstream-2024-turetzky-hebdb-weakly-supervised-dataset-hebrew](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/langstream-2024-turetzky-hebdb-weakly-supervised-dataset-hebrew/) — Who cites «HebDB: a Weakly Supervised Dataset for Hebrew Speech Processing» - [langstream-2024-zeldes-enhancing-tts-stability-hebrew-using](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/langstream-2024-zeldes-enhancing-tts-stability-hebrew-using/) — Who cites «Enhancing TTS Stability in Hebrew using Discrete Semantic Units» - [langstream-2025-ben-atya-agent-based-uncertainty-awareness-improves](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/langstream-2025-ben-atya-agent-based-uncertainty-awareness-improves/) — Who cites «Agent-Based Uncertainty Awareness Improves Automated Radiology Report Labeling with an Open-Source Large Language Model» - [langstream-2025-kolani-phonikud-overcoming-phonetic-underspecification-hebrew](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/langstream-2025-kolani-phonikud-overcoming-phonetic-underspecification-hebrew/) — Who cites «Phonikud: Overcoming Phonetic Underspecification for Hebrew Text-To-Speech» - [langstream-2026-elkholy-arabic-sentence-segmentation-across-genres](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/langstream-2026-elkholy-arabic-sentence-segmentation-across-genres/) — Who cites «Arabic Sentence Segmentation Across Genres and Punctuation Conditions» - [langstream-2026-gadd-symphonym-universal-phonetic-embeddings-cross](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/langstream-2026-gadd-symphonym-universal-phonetic-embeddings-cross/) — Who cites «Symphonym: Universal Phonetic Embeddings for Cross-Script Name Matching» - [langstream-2026-marmor-voxknesset-large-scale-longitudinal-hebrew](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/langstream-2026-marmor-voxknesset-large-scale-longitudinal-hebrew/) — Who cites «VoxKnesset: A Large-Scale Longitudinal Hebrew Speech Dataset for Aging Speaker Modeling» - [langstream-2026-neme-pattern-root-inflectional-morphology-arabic](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/langstream-2026-neme-pattern-root-inflectional-morphology-arabic/) — Who cites «Pattern-and-root inflectional morphology: the Arabic broken plural» - [langstream-2026-shmidman-dicta-lm-3-0-advancing](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/langstream-2026-shmidman-dicta-lm-3-0-advancing/) — Who cites «Dicta-LM 3.0: Advancing The Frontier of Hebrew Sovereign LLMs» - [lapalme-2020-jsrealb-text-realizer-organization-use](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/lapalme-2020-jsrealb-text-realizer-organization-use/) — Who cites «The jsRealB Text Realizer: Organization and Use Cases -- Revised version» - [lapalme-2024-pyrealb-gem-24-data-text](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/lapalme-2024-pyrealb-gem-24-data-text/) — Who cites «pyrealb at the GEM'24 Data-to-text Task: Symbolic English Text Generation from RDF Triples» - [lappin-1994-algorithm-pronominal-anaphora-resolution](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/lappin-1994-algorithm-pronominal-anaphora-resolution/) — Who cites «An Algorithm for Pronominal Anaphora Resolution» - [lappin-1994-algorithm-pronominal-anaphora-resolution-2](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/lappin-1994-algorithm-pronominal-anaphora-resolution-2/) — Who cites «An Algorithm for Pronominal Anaphora Resolution» · page 2 - [lareau-2018-gendr-generic-deep-realizer-complex](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/lareau-2018-gendr-generic-deep-realizer-complex/) — Who cites «GenDR: A Generic Deep Realizer with Complex Lexicalization» - [lavie-2004-rapid-prototyping-transfer-based-hebrew](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/lavie-2004-rapid-prototyping-transfer-based-hebrew/) — Who cites «Rapid prototyping of a transfer-based Hebrew-to-English machine translation system» - [lavoie-1997-fast-portable-realizer-text-generation](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/lavoie-1997-fast-portable-realizer-text-generation/) — Who cites «A Fast and Portable Realizer for Text Generation Systems» - [lavoie-2002-learning-domain-specific-transfer-rules](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/lavoie-2002-learning-domain-specific-transfer-rules/) — Who cites «Learning Domain-Specific Transfer Rules: An Experiment with Korean to English Translation» - [le-2022-referring-expressions-rational-speech-act](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/le-2022-referring-expressions-rational-speech-act/) — Who cites «Referring Expressions with Rational Speech Act Framework: A Probabilistic Approach» - [lee-2011-stanford-s-multi-pass-sieve](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/lee-2011-stanford-s-multi-pass-sieve/) — Who cites «Stanford's Multi-Pass Sieve Coreference Resolution System at the CoNLL-2011 Shared Task» - [lee-2011-stanford-s-multi-pass-sieve-2](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/lee-2011-stanford-s-multi-pass-sieve-2/) — Who cites «Stanford's Multi-Pass Sieve Coreference Resolution System at the CoNLL-2011 Shared Task» · page 2 - [lee-2013-deterministic-coreference-resolution-based-entity](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/lee-2013-deterministic-coreference-resolution-based-entity/) — Who cites «Deterministic Coreference Resolution Based on Entity-Centric, Precision-Ranked Rules» - [lee-2013-deterministic-coreference-resolution-based-entity-2](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/lee-2013-deterministic-coreference-resolution-based-entity-2/) — Who cites «Deterministic Coreference Resolution Based on Entity-Centric, Precision-Ranked Rules» · page 2 - [lee-2017-end-end-neural-coreference-resolution](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/lee-2017-end-end-neural-coreference-resolution/) — Who cites «End-to-end Neural Coreference Resolution» - [lee-2017-end-end-neural-coreference-resolution-2](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/lee-2017-end-end-neural-coreference-resolution-2/) — Who cites «End-to-end Neural Coreference Resolution» · page 2 - [lee-2017-end-end-neural-coreference-resolution-3](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/lee-2017-end-end-neural-coreference-resolution-3/) — Who cites «End-to-end Neural Coreference Resolution» · page 3 - [lee-2017-end-end-neural-coreference-resolution-4](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/lee-2017-end-end-neural-coreference-resolution-4/) — Who cites «End-to-end Neural Coreference Resolution» · page 4 - [lee-2017-end-end-neural-coreference-resolution-5](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/lee-2017-end-end-neural-coreference-resolution-5/) — Who cites «End-to-end Neural Coreference Resolution» · page 5 - [lee-2022-can-language-models-capture-syntactic](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/lee-2022-can-language-models-capture-syntactic/) — Who cites «Can language models capture syntactic associations without surface cues? 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