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[ekman-1992-argument-basic-emotions-3](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/ekman-1992-argument-basic-emotions-3/) — Who cites «An Argument for Basic Emotions» · page 3 - [ekman-1992-argument-basic-emotions-4](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/ekman-1992-argument-basic-emotions-4/) — Who cites «An Argument for Basic Emotions» · page 4 - [eldan-2023-tinystories-small-language-models-still](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/eldan-2023-tinystories-small-language-models-still/) — Who cites «TinyStories: How Small Can Language Models Be and Still Speak Coherent English?» - [eldan-2023-tinystories-small-language-models-still-2](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/eldan-2023-tinystories-small-language-models-still-2/) — Who cites «TinyStories: How Small Can Language Models Be and Still Speak Coherent English?» · page 2 - [elder-2019-designing-symbolic-intermediate-representation-neural](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/elder-2019-designing-symbolic-intermediate-representation-neural/) — Who cites «Designing a Symbolic Intermediate Representation for Neural Surface Realization» - [elder-2020-shape-synth-come-why-we](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/elder-2020-shape-synth-come-why-we/) — Who cites «Shape of Synth to Come: Why We Should Use Synthetic Data for English Surface Realization» - [elhadad-1996-overview-surge-reusable-comprehensive-syntactic](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/elhadad-1996-overview-surge-reusable-comprehensive-syntactic/) — Who cites «An Overview of SURGE: a Reusable Comprehensive Syntactic Realization Component» - [emami-2019-knowref-coreference-corpus-removing-gender](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/emami-2019-knowref-coreference-corpus-removing-gender/) — Who cites «The KnowRef Coreference Corpus: Removing Gender and Number Cues for Difficult Pronominal Anaphora Resolution» - [emnlp-2021-lazar-filling-gaps-ancient-akkadian-texts](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/emnlp-2021-lazar-filling-gaps-ancient-akkadian-texts/) — Who cites «Filling the Gaps in Ancient Akkadian Texts: A Masked Language Modelling Approach» - [enprag-2000-eckert-dialogue-acts-synchronizing-units-anaphora](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/enprag-2000-eckert-dialogue-acts-synchronizing-units-anaphora/) — Who cites «Dialogue Acts, Synchronizing Units, and Anaphora Resolution» - [enprag-2004-oepen-lingo-redwoods-rich-dynamic-treebank](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/enprag-2004-oepen-lingo-redwoods-rich-dynamic-treebank/) — Who cites «LinGO Redwoods: A Rich and Dynamic Treebank for HPSG» - [enprag-2008-baron-vard2-tool-dealing-spelling-variation](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/enprag-2008-baron-vard2-tool-dealing-spelling-variation/) — Who cites «VARD 2: A tool for dealing with spelling variation in historical corpora» - [enprag-2019-marneffe-commitmentbank-investigating-projection-naturally](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/enprag-2019-marneffe-commitmentbank-investigating-projection-naturally/) — Who cites «The CommitmentBank: Investigating projection in naturally occurring discourse» - [enprag-2019-marneffe-commitmentbank-investigating-projection-naturally-2](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/enprag-2019-marneffe-commitmentbank-investigating-projection-naturally-2/) — Who cites «The CommitmentBank: Investigating projection in naturally occurring discourse» · page 2 - [enprag-2019-marneffe-commitmentbank-investigating-projection-naturally-3](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/enprag-2019-marneffe-commitmentbank-investigating-projection-naturally-3/) — Who cites «The CommitmentBank: Investigating projection in naturally occurring discourse» · page 3 - [enud-1988-mann-rhetorical-structure-theory-functional](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/enud-1988-mann-rhetorical-structure-theory-functional/) — Who cites «Rhetorical Structure Theory: Toward a functional theory of text organization» - [enud-1988-mann-rhetorical-structure-theory-functional-2](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/enud-1988-mann-rhetorical-structure-theory-functional-2/) — Who cites «Rhetorical Structure Theory: Toward a functional theory of text organization» · page 2 - [enud-1988-mann-rhetorical-structure-theory-functional-3](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/enud-1988-mann-rhetorical-structure-theory-functional-3/) — Who cites «Rhetorical Structure Theory: Toward a functional theory of text organization» · page 3 - [enud-1988-mann-rhetorical-structure-theory-functional-4](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/enud-1988-mann-rhetorical-structure-theory-functional-4/) — Who cites «Rhetorical Structure Theory: Toward a functional theory of text organization» · page 4 - [enud-1988-mann-rhetorical-structure-theory-functional-5](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/enud-1988-mann-rhetorical-structure-theory-functional-5/) — Who cites «Rhetorical Structure Theory: Toward a functional theory of text organization» · page 5 - [enud-1988-mann-rhetorical-structure-theory-functional-6](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/enud-1988-mann-rhetorical-structure-theory-functional-6/) — Who cites «Rhetorical Structure Theory: Toward a functional theory of text organization» · page 6 - [enud-1988-mann-rhetorical-structure-theory-functional-7](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/enud-1988-mann-rhetorical-structure-theory-functional-7/) — Who cites «Rhetorical Structure Theory: Toward a functional theory of text organization» · page 7 - [enud-1999-carroll-corpus-annotation-parser-evaluation](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/enud-1999-carroll-corpus-annotation-parser-evaluation/) — Who cites «Corpus Annotation for Parser Evaluation» - [enud-2011-manning-part-speech-tagging-97-100](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/enud-2011-manning-part-speech-tagging-97-100/) — Who cites «Part-of-Speech Tagging from 97% to 100%: Is It Time for Some Linguistics?» - [enud-2011-manning-part-speech-tagging-97-100-2](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/enud-2011-manning-part-speech-tagging-97-100-2/) — Who cites «Part-of-Speech Tagging from 97% to 100%: Is It Time for Some Linguistics?» · page 2 - [enud-2014-kong-empirical-comparison-parsing-methods-stanford](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/enud-2014-kong-empirical-comparison-parsing-methods-stanford/) — Who cites «An Empirical Comparison of Parsing Methods for Stanford Dependencies» - [fabio-2019-verbatlas-novel-large-scale-verbal](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/fabio-2019-verbatlas-novel-large-scale-verbal/) — Who cites «VerbAtlas: a Novel Large-Scale Verbal Semantic Resource and Its Application to Semantic Role Labeling» - [faller-2019-discourse-commitments-illocutionary-reportatives](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/faller-2019-discourse-commitments-illocutionary-reportatives/) — Who cites «The discourse commitments of illocutionary reportatives» - [farha-2022-semeval-2022-task-6-isarcasmeval](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/farha-2022-semeval-2022-task-6-isarcasmeval/) — Who cites «SemEval-2022 Task 6: iSarcasmEval, Intended Sarcasm Detection in English and Arabic» - [ferreira-2017-linguistic-realisation-as-machine-translation](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/ferreira-2017-linguistic-realisation-as-machine-translation/) — Who cites «Linguistic realisation as machine translation: Comparing different MT models for AMR-to-text generation» - [filippova-2009-tree-linearization-english-improving-language](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/filippova-2009-tree-linearization-english-improving-language/) — Who cites «Tree Linearization in English: Improving Language Model Based Approaches» - [findings-2020-mizrahi-coming-terms-automatic-formation-neologisms](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/findings-2020-mizrahi-coming-terms-automatic-formation-neologisms/) — Who cites «Coming to Terms: Automatic Formation of Neologisms in Hebrew» - [findings-2020-shmidman-novel-challenge-set-hebrew-morphological](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/findings-2020-shmidman-novel-challenge-set-hebrew-morphological/) — Who cites «A Novel Challenge Set for Hebrew Morphological Disambiguation and Diacritics Restoration» - [findings-2021-wang-closer-look-into-robustness-neural](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/findings-2021-wang-closer-look-into-robustness-neural/) — Who cites «A Closer Look into the Robustness of Neural Dependency Parsers Using Better Adversarial Examples» - [findings-2022-gershuni-restoring-hebrew-diacritics-without-dictionary](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/findings-2022-gershuni-restoring-hebrew-diacritics-without-dictionary/) — Who cites «Restoring Hebrew Diacritics Without a Dictionary» - [findings-2022-kulick-penn-helsinki-parsed-corpus-early](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/findings-2022-kulick-penn-helsinki-parsed-corpus-early/) — Who cites «Penn-Helsinki Parsed Corpus of Early Modern English: First Parsing Results and Analysis» - [findings-2023-argaman-hegel-novel-dataset-geo-location](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/findings-2023-argaman-hegel-novel-dataset-geo-location/) — Who cites «HeGeL: A Novel Dataset for Geo-Location from Hebrew Text» - [findings-2023-cohen-heq-large-diverse-hebrew-reading](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/findings-2023-cohen-heq-large-diverse-hebrew-reading/) — Who cites «HeQ: a Large and Diverse Hebrew Reading Comprehension Benchmark» - [findings-2023-eyal-multilingual-sequence-sequence-models-hebrew](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/findings-2023-eyal-multilingual-sequence-sequence-models-hebrew/) — Who cites «Multilingual Sequence-to-Sequence Models for Hebrew NLP» - [findings-2024-argaman-hesum-novel-dataset-abstractive-text](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/findings-2024-argaman-hesum-novel-dataset-abstractive-text/) — Who cites «HeSum: a Novel Dataset for Abstractive Text Summarization in Hebrew» - [findings-2024-shmidman-mrl-parsing-without-tears-case](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/findings-2024-shmidman-mrl-parsing-without-tears-case/) — Who cites «MRL Parsing Without Tears: The Case of Hebrew» - [findings-2025-lan-hebid-detecting-social-identities-hebrew](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/findings-2025-lan-hebid-detecting-social-identities-hebrew/) — Who cites «HeBID: Detecting Social Identities in Hebrew-language Political Text» - [findings-2025-malul-lchaim-investigating-long-context-reasoning](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/findings-2025-malul-lchaim-investigating-long-context-reasoning/) — Who cites «LCHAIM - Investigating Long Context Reasoning in Hebrew» - [findings-2025-stoupak-classifier-word-level-variants-witnesses](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/findings-2025-stoupak-classifier-word-level-variants-witnesses/) — Who cites «A Classifier of Word-Level Variants in Witnesses of Biblical Hebrew Manuscripts» - [findings-2025-teklehaymanot-movoc-morphology-aware-subword-construction](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/findings-2025-teklehaymanot-movoc-morphology-aware-subword-construction/) — Who cites «MoVoC: Morphology-Aware Subword Construction for Ge'ez Script Languages» - [findlay-2025-negation-universal-dependencies](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/findlay-2025-negation-universal-dependencies/) — Who cites «Negation in Universal Dependencies» - [fishel-2013-ranking-translations-error-analysis-quality](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/fishel-2013-ranking-translations-error-analysis-quality/) — Who cites «Ranking Translations using Error Analysis and Quality Estimation» - [fisher-2024-styleremix-interpretable-authorship-obfuscation-distillation](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/fisher-2024-styleremix-interpretable-authorship-obfuscation-distillation/) — Who cites «StyleRemix: Interpretable Authorship Obfuscation via Distillation and Perturbation of Style Elements» - [fitzgerald-2018-large-scale-qa-srl-parsing](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/fitzgerald-2018-large-scale-qa-srl-parsing/) — Who cites «Large-Scale QA-SRL Parsing» - [flanigan-2016-generation-abstract-meaning-representation-tree](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/flanigan-2016-generation-abstract-meaning-representation-tree/) — Who cites «Generation from Abstract Meaning Representation using Tree Transducers» - [flickinger-2005-sem-i-rational-mt-enriching](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/flickinger-2005-sem-i-rational-mt-enriching/) — Who cites «SEM-I Rational MT: Enriching Deep Grammars with a Semantic Interface for Scalable Machine Translation» - [flint-2017-text-normalisation-system-non-standard](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/flint-2017-text-normalisation-system-non-standard/) — Who cites «A Text Normalisation System for Non-Standard English Words» - [forcada-2009-apertium-machine-translation-platform-five](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/forcada-2009-apertium-machine-translation-platform-five/) — Who cites «The Apertium machine translation platform: Five years on» - [forcada-2016-apertium-free-open-source-platform](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/forcada-2016-apertium-free-open-source-platform/) — Who cites «Apertium: a free/open source platform for machine translation and basic language technology» - [frame-2016-hayoun-hebrew-framenet-project](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/frame-2016-hayoun-hebrew-framenet-project/) — Who cites «The Hebrew FrameNet Project» - [freitag-2021-experts-errors-context-large-scale](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/freitag-2021-experts-errors-context-large-scale/) — Who cites «Experts, Errors, and Context: A Large-Scale Study of Human Evaluation for Machine Translation» - [freitag-2021-experts-errors-context-large-scale-2](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/freitag-2021-experts-errors-context-large-scale-2/) — Who cites «Experts, Errors, and Context: A Large-Scale Study of Human Evaluation for Machine Translation» · page 2 - [freitag-2021-experts-errors-context-large-scale-3](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/freitag-2021-experts-errors-context-large-scale-3/) — Who cites «Experts, Errors, and Context: A Large-Scale Study of Human Evaluation for Machine Translation» · page 3 - [freitag-2021-experts-errors-context-large-scale-4](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/freitag-2021-experts-errors-context-large-scale-4/) — Who cites «Experts, Errors, and Context: A Large-Scale Study of Human Evaluation for Machine Translation» · page 4 - [freitag-2022-results-wmt22-metrics-shared-task](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/freitag-2022-results-wmt22-metrics-shared-task/) — Who cites «Results of WMT22 Metrics Shared Task: Stop Using BLEU – Neural Metrics Are Better and More Robust» - [freitag-2022-results-wmt22-metrics-shared-task-2](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/freitag-2022-results-wmt22-metrics-shared-task-2/) — Who cites «Results of WMT22 Metrics Shared Task: Stop Using BLEU – Neural Metrics Are Better and More Robust» · page 2 - [freitag-2022-results-wmt22-metrics-shared-task-3](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/freitag-2022-results-wmt22-metrics-shared-task-3/) — Who cites «Results of WMT22 Metrics Shared Task: Stop Using BLEU – Neural Metrics Are Better and More Robust» · page 3 - [fu-2020-facilitating-communication-politeness-through-fine](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/fu-2020-facilitating-communication-politeness-through-fine/) — Who cites «Facilitating the Communication of Politeness through Fine-Grained Paraphrasing» - [fu-2025-survey-qud-models-discourse-processing](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/fu-2025-survey-qud-models-discourse-processing/) — Who cites «A Survey of QUD Models for Discourse Processing» - [galley-2004-what-s-translation-rule](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/galley-2004-what-s-translation-rule/) — Who cites «What's in a translation rule?» - [galley-2004-what-s-translation-rule-2](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/galley-2004-what-s-translation-rule-2/) — Who cites «What's in a translation rule?» · page 2 - [galley-2004-what-s-translation-rule-3](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/galley-2004-what-s-translation-rule-3/) — Who cites «What's in a translation rule?» · page 3 - [galley-2006-scalable-inference-training-context-rich](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/galley-2006-scalable-inference-training-context-rich/) — Who cites «Scalable Inference and Training of Context-Rich Syntactic Translation Models» - [galley-2006-scalable-inference-training-context-rich-2](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/galley-2006-scalable-inference-training-context-rich-2/) — Who cites «Scalable Inference and Training of Context-Rich Syntactic Translation Models» · page 2 - [galley-2006-scalable-inference-training-context-rich-3](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/galley-2006-scalable-inference-training-context-rich-3/) — Who cites «Scalable Inference and Training of Context-Rich Syntactic Translation Models» · page 3 - [gamba-2025-bootstrapping-umrs-universal-dependencies-scalable](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/gamba-2025-bootstrapping-umrs-universal-dependencies-scalable/) — Who cites «Bootstrapping UMRs from Universal Dependencies for Scalable Multilingual Annotation» - [gamon-2002-machine-learned-contexts-linguistic-operations](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/gamon-2002-machine-learned-contexts-linguistic-operations/) — Who cites «Machine-learned contexts for linguistic operations in German sentence realization» - [ganitkevitch-2013-ppdb-paraphrase-database](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/ganitkevitch-2013-ppdb-paraphrase-database/) — Who cites «PPDB: The Paraphrase Database» - [ganitkevitch-2013-ppdb-paraphrase-database-2](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/ganitkevitch-2013-ppdb-paraphrase-database-2/) — Who cites «PPDB: The Paraphrase Database» · page 2 - [ganitkevitch-2013-ppdb-paraphrase-database-3](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/ganitkevitch-2013-ppdb-paraphrase-database-3/) — Who cites «PPDB: The Paraphrase Database» · page 3 - [ganitkevitch-2013-ppdb-paraphrase-database-4](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/ganitkevitch-2013-ppdb-paraphrase-database-4/) — Who cites «PPDB: The Paraphrase Database» · page 4 - [gardent-2017-webnlg-challenge-generating-text-rdf](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/gardent-2017-webnlg-challenge-generating-text-rdf/) — Who cites «The WebNLG Challenge: Generating Text from RDF Data» - [gardent-2017-webnlg-challenge-generating-text-rdf-2](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/gardent-2017-webnlg-challenge-generating-text-rdf-2/) — Who cites «The WebNLG Challenge: Generating Text from RDF Data» · page 2 - [gardent-2017-webnlg-challenge-generating-text-rdf-3](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/gardent-2017-webnlg-challenge-generating-text-rdf-3/) — Who cites «The WebNLG Challenge: Generating Text from RDF Data» · page 3 - [gardner-2020-evaluating-models-local-decision-boundaries](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/gardner-2020-evaluating-models-local-decision-boundaries/) — Who cites «Evaluating Models' Local Decision Boundaries via Contrast Sets» - [gardner-2020-evaluating-models-local-decision-boundaries-2](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/gardner-2020-evaluating-models-local-decision-boundaries-2/) — Who cites «Evaluating Models' Local Decision Boundaries via Contrast Sets» · page 2 - [gardner-2020-evaluating-models-local-decision-boundaries-3](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/gardner-2020-evaluating-models-local-decision-boundaries-3/) — Who cites «Evaluating Models' Local Decision Boundaries via Contrast Sets» · page 3 - [garimella-2021-domain-aware-dependency-parsing-questions](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/garimella-2021-domain-aware-dependency-parsing-questions/) — Who cites «Domain-Aware Dependency Parsing for Questions» - [geary-2006-factored-functional-dependency-transformation-english](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/geary-2006-factored-functional-dependency-transformation-english/) — Who cites «A Factored Functional Dependency Transformation of the English Penn Treebank for Probabilistic Surface Generation» - [geiger-2020-neural-natural-language-inference-models](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/geiger-2020-neural-natural-language-inference-models/) — Who cites «Neural Natural Language Inference Models Partially Embed Theories of Lexical Entailment and Negation» - [gekhman-2020-kobe-knowledge-based-machine-translation](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/gekhman-2020-kobe-knowledge-based-machine-translation/) — Who cites «KoBE: Knowledge-Based Machine Translation Evaluation» - [george-2019-conversational-implicatures-english-dialogue-annotated](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/george-2019-conversational-implicatures-english-dialogue-annotated/) — Who cites «Conversational implicatures in English dialogue: Annotated dataset» - [gergel-2017-surprisal-satisfaction-information-theoretic-characterization](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/gergel-2017-surprisal-satisfaction-information-theoretic-characterization/) — Who cites «Surprisal and Satisfaction: Towards an Information-theoretic Characterization of Presuppositions with a Diachronic Application» - [gessler-2019-discourse-signal-annotation-system-rst](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/gessler-2019-discourse-signal-annotation-system-rst/) — Who cites «A Discourse Signal Annotation System for RST Trees» - [ghaddar-2016-wikicoref-english-coreference-annotated-corpus](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/ghaddar-2016-wikicoref-english-coreference-annotated-corpus/) — Who cites «WikiCoref: An English Coreference-annotated Corpus of Wikipedia Articles» - [ghosh-2020-interpreting-verbal-irony-linguistic-strategies](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/ghosh-2020-interpreting-verbal-irony-linguistic-strategies/) — Who cites «Interpreting Verbal Irony: Linguistic Strategies and the Connection to the Type of Semantic Incongruity» - [gildea-2002-automatic-labeling-semantic-roles](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/gildea-2002-automatic-labeling-semantic-roles/) — Who cites «Automatic Labeling of Semantic Roles» - [gildea-2002-automatic-labeling-semantic-roles-2](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/gildea-2002-automatic-labeling-semantic-roles-2/) — Who cites «Automatic Labeling of Semantic Roles» · page 2 - [gildea-2002-automatic-labeling-semantic-roles-3](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/gildea-2002-automatic-labeling-semantic-roles-3/) — Who cites «Automatic Labeling of Semantic Roles» · page 3 - [gildea-2002-automatic-labeling-semantic-roles-4](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/gildea-2002-automatic-labeling-semantic-roles-4/) — Who cites «Automatic Labeling of Semantic Roles» · page 4 - [gildea-2002-automatic-labeling-semantic-roles-5](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/gildea-2002-automatic-labeling-semantic-roles-5/) — Who cites «Automatic Labeling of Semantic Roles» · page 5 - [gildea-2002-automatic-labeling-semantic-roles-6](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/gildea-2002-automatic-labeling-semantic-roles-6/) — Who cites «Automatic Labeling of Semantic Roles» · page 6 - [gimenez-2008-heterogeneous-automatic-mt-error-analysis](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/gimenez-2008-heterogeneous-automatic-mt-error-analysis/) — Who cites «Towards Heterogeneous Automatic MT Error Analysis» - [gimpel-2009-feature-rich-translation-quasi-synchronous](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/gimpel-2009-feature-rich-translation-quasi-synchronous/) — Who cites «Feature-Rich Translation by Quasi-Synchronous Lattice Parsing» - [ginn-2025-llm-dependency-parsing-context-rules](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/ginn-2025-llm-dependency-parsing-context-rules/) — Who cites «LLM Dependency Parsing with In-Context Rules» [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**[8](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/page/8/)[9](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/page/9/)[10](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/page/10/)[11](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/page/11/)[12](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/page/12/)[13](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/page/13/)[14](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/page/14/)[15](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/page/15/)[16](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/page/16/)[17](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/page/17/)[18](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/)