[Mova](https://md.mova.elamur.ai/free/en/) · [this page in HTML](https://mova.elamur.ai/free/en/docs/papers/cited-by/page/9/) [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 9 # 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**[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/) - [hershcovich-2020-comparison-conversion-reverse-engineering-ucca](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/hershcovich-2020-comparison-conversion-reverse-engineering-ucca/) — Who cites «Comparison by Conversion: Reverse-Engineering UCCA from Syntax and Lexical Semantics» - [hinrichs-1987-compositional-semantics-temporal-expressions-english](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/hinrichs-1987-compositional-semantics-temporal-expressions-english/) — Who cites «A Compositional Semantics of Temporal Expressions in English» - [hobbs-1978-resolving-pronoun-references](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/hobbs-1978-resolving-pronoun-references/) — Who cites «Resolving Pronoun References» - [hobbs-1978-resolving-pronoun-references-2](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/hobbs-1978-resolving-pronoun-references-2/) — Who cites «Resolving Pronoun References» · page 2 - [honnibal-2010-morphological-analysis-can-improve-ccg](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/honnibal-2010-morphological-analysis-can-improve-ccg/) — Who cites «Morphological Analysis Can Improve a CCG Parser for English» - [honnibal-2013-good-part-of-speech-tagger](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/honnibal-2013-good-part-of-speech-tagger/) — Who cites «A Good Part-of-Speech Tagger in about 200 Lines of Python» - [hossain-2020-analysis-natural-language-inference-benchmarks](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/hossain-2020-analysis-natural-language-inference-benchmarks/) — Who cites «An Analysis of Natural Language Inference Benchmarks through the Lens of Negation» - [hosseini-2014-learning-solve-arithmetic-word-problems](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/hosseini-2014-learning-solve-arithmetic-word-problems/) — Who cites «Learning to Solve Arithmetic Word Problems with Verb Categorization» - [hosseini-2014-learning-solve-arithmetic-word-problems-2](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/hosseini-2014-learning-solve-arithmetic-word-problems-2/) — Who cites «Learning to Solve Arithmetic Word Problems with Verb Categorization» · page 2 - [hosseini-2014-learning-solve-arithmetic-word-problems-3](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/hosseini-2014-learning-solve-arithmetic-word-problems-3/) — Who cites «Learning to Solve Arithmetic Word Problems with Verb Categorization» · page 3 - [hou-2013-global-inference-bridging-anaphora-resolution](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/hou-2013-global-inference-bridging-anaphora-resolution/) — Who cites «Global Inference for Bridging Anaphora Resolution» - [hou-2018-unrestricted-bridging-resolution](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/hou-2018-unrestricted-bridging-resolution/) — Who cites «Unrestricted Bridging Resolution» - [hou-2020-bridging-anaphora-resolution-as-question](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/hou-2020-bridging-anaphora-resolution-as-question/) — Who cites «Bridging Anaphora Resolution as Question Answering» - [hou-2020-fine-grained-information-status-classification](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/hou-2020-fine-grained-information-status-classification/) — Who cites «Fine-grained Information Status Classification Using Discourse Context-Aware BERT» - [hovy-1992-approximating-interlingua-principled-way](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/hovy-1992-approximating-interlingua-principled-way/) — Who cites «Approximating an Interlingua in a Principled Way» - [hu-2023-expectations-over-unspoken-alternatives-predict](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/hu-2023-expectations-over-unspoken-alternatives-predict/) — Who cites «Expectations over Unspoken Alternatives Predict Pragmatic Inferences» - [hu-2023-fine-grained-comparison-pragmatic-language](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/hu-2023-fine-grained-comparison-pragmatic-language/) — Who cites «A fine-grained comparison of pragmatic language understanding in humans and language models» - [huang-2006-statistical-syntax-directed-translation-extended](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/huang-2006-statistical-syntax-directed-translation-extended/) — Who cites «Statistical Syntax-Directed Translation with Extended Domain of Locality» - [huang-2006-statistical-syntax-directed-translation-extended-2](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/huang-2006-statistical-syntax-directed-translation-extended-2/) — Who cites «Statistical Syntax-Directed Translation with Extended Domain of Locality» · page 2 - [huang-2012-structured-perceptron-inexact-search](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/huang-2012-structured-perceptron-inexact-search/) — Who cites «Structured Perceptron with Inexact Search» - [huang-2019-cosmos-qa-machine-reading-comprehension](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/huang-2019-cosmos-qa-machine-reading-comprehension/) — Who cites «Cosmos QA: Machine Reading Comprehension with Contextual Commonsense Reasoning» - [huang-2019-cosmos-qa-machine-reading-comprehension-2](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/huang-2019-cosmos-qa-machine-reading-comprehension-2/) — Who cites «Cosmos QA: Machine Reading Comprehension with Contextual Commonsense Reasoning» · page 2 - [huang-2019-cosmos-qa-machine-reading-comprehension-3](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/huang-2019-cosmos-qa-machine-reading-comprehension-3/) — Who cites «Cosmos QA: Machine Reading Comprehension with Contextual Commonsense Reasoning» · page 3 - [huang-2022-unsupervised-syntactically-controlled-paraphrase-generation](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/huang-2022-unsupervised-syntactically-controlled-paraphrase-generation/) — Who cites «Unsupervised Syntactically Controlled Paraphrase Generation with Abstract Meaning Representations» - [huang-2023-paraamr-large-scale-syntactically-diverse](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/huang-2023-paraamr-large-scale-syntactically-diverse/) — Who cites «ParaAMR: A Large-Scale Syntactically Diverse Paraphrase Dataset by AMR Back-Translation» - [huddleston-2002-cambridge-grammar-english-language](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/huddleston-2002-cambridge-grammar-english-language/) — Who cites «The Cambridge Grammar of the English Language» - [huddleston-2002-cambridge-grammar-english-language-2](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/huddleston-2002-cambridge-grammar-english-language-2/) — Who cites «The Cambridge Grammar of the English Language» · page 2 - [hutchins-1994-research-methods-system-designs-machine](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/hutchins-1994-research-methods-system-designs-machine/) — Who cites «Research methods and system designs in machine translation: a ten-year review, 1984-1994» - [hwang-2020-comet-atomic-2020-symbolic-neural](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/hwang-2020-comet-atomic-2020-symbolic-neural/) — Who cites «COMET-ATOMIC 2020: On Symbolic and Neural Commonsense Knowledge Graphs» - [hwang-2020-comet-atomic-2020-symbolic-neural-2](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/hwang-2020-comet-atomic-2020-symbolic-neural-2/) — Who cites «COMET-ATOMIC 2020: On Symbolic and Neural Commonsense Knowledge Graphs» · page 2 - [hwang-2020-comet-atomic-2020-symbolic-neural-3](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/hwang-2020-comet-atomic-2020-symbolic-neural-3/) — Who cites «COMET-ATOMIC 2020: On Symbolic and Neural Commonsense Knowledge Graphs» · page 3 - [hyland-1998-hedging-scientific-research-articles](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/hyland-1998-hedging-scientific-research-articles/) — Who cites «Hedging in Scientific Research Articles» - [idioms-2002-sag-multiword-expressions-pain-neck-nlp](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/idioms-2002-sag-multiword-expressions-pain-neck-nlp/) — Who cites «Multiword Expressions: A Pain in the Neck for NLP» - [idioms-2002-sag-multiword-expressions-pain-neck-nlp-2](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/idioms-2002-sag-multiword-expressions-pain-neck-nlp-2/) — Who cites «Multiword Expressions: A Pain in the Neck for NLP» · page 2 - [idioms-2002-sag-multiword-expressions-pain-neck-nlp-3](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/idioms-2002-sag-multiword-expressions-pain-neck-nlp-3/) — Who cites «Multiword Expressions: A Pain in the Neck for NLP» · page 3 - [idioms-2002-sag-multiword-expressions-pain-neck-nlp-4](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/idioms-2002-sag-multiword-expressions-pain-neck-nlp-4/) — Who cites «Multiword Expressions: A Pain in the Neck for NLP» · page 4 - [idioms-2002-sag-multiword-expressions-pain-neck-nlp-5](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/idioms-2002-sag-multiword-expressions-pain-neck-nlp-5/) — Who cites «Multiword Expressions: A Pain in the Neck for NLP» · page 5 - [isabelle-1986-transfer-mt-modularity](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/isabelle-1986-transfer-mt-modularity/) — Who cites «Transfer and MT Modularity» - [isabelle-2017-challenge-set-approach-evaluating-machine](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/isabelle-2017-challenge-set-approach-evaluating-machine/) — Who cites «A Challenge Set Approach to Evaluating Machine Translation» - [isabelle-2017-challenge-set-approach-evaluating-machine-2](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/isabelle-2017-challenge-set-approach-evaluating-machine-2/) — Who cites «A Challenge Set Approach to Evaluating Machine Translation» · page 2 - [islam-2020-lexicon-based-approach-detecting-hedges](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/islam-2020-lexicon-based-approach-detecting-hedges/) — Who cites «A Lexicon-Based Approach for Detecting Hedges in Informal Text» - [jangra-2022-t-star-truthful-style-transfer](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/jangra-2022-t-star-truthful-style-transfer/) — Who cites «T-STAR: Truthful Style Transfer using AMR Graph as Intermediate Representation» - [jeretic-2020-are-natural-language-inference-models](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/jeretic-2020-are-natural-language-inference-models/) — Who cites «Are Natural Language Inference Models IMPPRESsive? Learning IMPlicature and PRESupposition» - [jhamtani-2017-shakespearizing-modern-language-copy-enriched](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/jhamtani-2017-shakespearizing-modern-language-copy-enriched/) — Who cites «Shakespearizing Modern Language Using Copy-Enriched Sequence to Sequence Models» - [jia-2017-adversarial-examples-evaluating-reading-comprehension](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/jia-2017-adversarial-examples-evaluating-reading-comprehension/) — Who cites «Adversarial Examples for Evaluating Reading Comprehension Systems» - [jia-2017-adversarial-examples-evaluating-reading-comprehension-2](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/jia-2017-adversarial-examples-evaluating-reading-comprehension-2/) — Who cites «Adversarial Examples for Evaluating Reading Comprehension Systems» · page 2 - [jia-2017-adversarial-examples-evaluating-reading-comprehension-3](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/jia-2017-adversarial-examples-evaluating-reading-comprehension-3/) — Who cites «Adversarial Examples for Evaluating Reading Comprehension Systems» · page 3 - [jia-2017-adversarial-examples-evaluating-reading-comprehension-4](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/jia-2017-adversarial-examples-evaluating-reading-comprehension-4/) — Who cites «Adversarial Examples for Evaluating Reading Comprehension Systems» · page 4 - [jia-2017-adversarial-examples-evaluating-reading-comprehension-5](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/jia-2017-adversarial-examples-evaluating-reading-comprehension-5/) — Who cites «Adversarial Examples for Evaluating Reading Comprehension Systems» · page 5 - [jia-2017-adversarial-examples-evaluating-reading-comprehension-6](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/jia-2017-adversarial-examples-evaluating-reading-comprehension-6/) — Who cites «Adversarial Examples for Evaluating Reading Comprehension Systems» · page 6 - [jiang-2021-he-thinks-he-knows-better](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/jiang-2021-he-thinks-he-knows-better/) — Who cites «He Thinks He Knows Better than the Doctors: BERT for Event Factuality Fails on Pragmatics» - [jie-2022-learning-reason-deductively-math-word](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/jie-2022-learning-reason-deductively-math-word/) — Who cites «Learning to Reason Deductively: Math Word Problem Solving as Complex Relation Extraction» - [johansson-2008-dependency-based-semantic-role-labeling](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/johansson-2008-dependency-based-semantic-role-labeling/) — Who cites «Dependency-based Semantic Role Labeling of PropBank» - [johnson-2022-automatic-dialect-density-estimation-african](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/johnson-2022-automatic-dialect-density-estimation-african/) — Who cites «Automatic Dialect Density Estimation for African American English» - [jones-2012-semantics-based-machine-translation-hyperedge](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/jones-2012-semantics-based-machine-translation-hyperedge/) — Who cites «Semantics-Based Machine Translation with Hyperedge Replacement Grammars» - [jorgensen-2016-learning-pos-tagger-aave-like](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/jorgensen-2016-learning-pos-tagger-aave-like/) — Who cites «Learning a POS tagger for AAVE-like language» - [joshi-2016-how-challenging-is-sarcasm-versus](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/joshi-2016-how-challenging-is-sarcasm-versus/) — Who cites «How Challenging is Sarcasm versus Irony Classification?: A Study With a Dataset from English Literature» - [joty-2018-modeling-speech-acts-asynchronous-conversations](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/joty-2018-modeling-speech-acts-asynchronous-conversations/) — Who cites «Modeling Speech Acts in Asynchronous Conversations: A Neural-CRF Approach» - [kaeshammer-2012-german-english-treebanks-lexica-tree](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/kaeshammer-2012-german-english-treebanks-lexica-tree/) — Who cites «German and English Treebanks and Lexica for Tree-Adjoining Grammars» - [kalpakchi-2021-minor-changes-make-difference-case](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/kalpakchi-2021-minor-changes-make-difference-case/) — Who cites «Minor changes make a difference: a case study on the consistency of UD-based dependency parsers» - [kaplan-1989-translation-structural-correspondences](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/kaplan-1989-translation-structural-correspondences/) — Who cites «Translation by Structural Correspondences» - [kato-2020-parsing-gapping-constructions-based-grammatical](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/kato-2020-parsing-gapping-constructions-based-grammatical/) — Who cites «Parsing Gapping Constructions Based on Grammatical and Semantic Roles» - [kaushik-2018-how-much-reading-does-reading](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/kaushik-2018-how-much-reading-does-reading/) — Who cites «How Much Reading Does Reading Comprehension Require? A Critical Investigation of Popular Benchmarks» - [kaushik-2018-how-much-reading-does-reading-2](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/kaushik-2018-how-much-reading-does-reading-2/) — Who cites «How Much Reading Does Reading Comprehension Require? A Critical Investigation of Popular Benchmarks» · page 2 - [kay-1996-chart-generation](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/kay-1996-chart-generation/) — Who cites «Chart Generation» - [kellert-2025-parsing-switch-llm-based-ud](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/kellert-2025-parsing-switch-llm-based-ud/) — Who cites «Parsing the Switch: LLM-Based UD Annotation for Complex Code-Switched and Low-Resource Languages» - [kerz-2020-becoming-linguistically-mature-modeling-english](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/kerz-2020-becoming-linguistically-mature-modeling-english/) — Who cites «Becoming Linguistically Mature: Modeling English and German Children's Writing Development Across School Grades» - [khan-2022-construction-wordnet-old-english](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/khan-2022-construction-wordnet-old-english/) — Who cites «Towards the Construction of a WordNet for Old English» - [khan-2023-some-considerations-construction-historical-language](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/khan-2023-some-considerations-construction-historical-language/) — Who cites «Some Considerations in the Construction of a Historical Language WordNet» - [khashabi-2018-looking-beyond-surface-challenge-set](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/khashabi-2018-looking-beyond-surface-challenge-set/) — Who cites «Looking Beyond the Surface: A Challenge Set for Reading Comprehension over Multiple Sentences» - [khashabi-2018-looking-beyond-surface-challenge-set-2](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/khashabi-2018-looking-beyond-surface-challenge-set-2/) — Who cites «Looking Beyond the Surface: A Challenge Set for Reading Comprehension over Multiple Sentences» · page 2 - [khashabi-2018-looking-beyond-surface-challenge-set-3](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/khashabi-2018-looking-beyond-surface-challenge-set-3/) — Who cites «Looking Beyond the Surface: A Challenge Set for Reading Comprehension over Multiple Sentences» · page 3 - [khegai-2006-grammatical-framework-gf-mt-sublanguage](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/khegai-2006-grammatical-framework-gf-mt-sublanguage/) — Who cites «Grammatical Framework (GF) for MT in Sublanguage Domains» - [khosla-2021-codi-crac-2021-shared-task](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/khosla-2021-codi-crac-2021-shared-task/) — Who cites «The CODI-CRAC 2021 Shared Task on Anaphora, Bridging, and Discourse Deixis in Dialogue» - [kim-2020-implicit-discourse-relation-classification-we](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/kim-2020-implicit-discourse-relation-classification-we/) — Who cites «Implicit Discourse Relation Classification: We Need to Talk about Evaluation» - [kim-2021-which-linguist-invented-lightbulb-presupposition](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/kim-2021-which-linguist-invented-lightbulb-presupposition/) — Who cites «Which Linguist Invented the Lightbulb? Presupposition Verification for Question-Answering» - [kim-2023-pope-catholic-applying-chain-thought](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/kim-2023-pope-catholic-applying-chain-thought/) — Who cites «"Is the Pope Catholic?" Applying Chain-of-Thought Reasoning to Understanding Conversational Implicatures» - [king-1990-test-suites-evaluation-machine-translation](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/king-1990-test-suites-evaluation-machine-translation/) — Who cites «Using Test Suites in Evaluation of Machine Translation Systems» - [kingsbury-2002-treebank-propbank](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/kingsbury-2002-treebank-propbank/) — Who cites «From TreeBank to PropBank» - [kingsbury-2002-treebank-propbank-2](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/kingsbury-2002-treebank-propbank-2/) — Who cites «From TreeBank to PropBank» · page 2 - [kingsbury-2002-treebank-propbank-3](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/kingsbury-2002-treebank-propbank-3/) — Who cites «From TreeBank to PropBank» · page 3 - [kirchhoff-2007-semi-automatic-error-analysis-large](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/kirchhoff-2007-semi-automatic-error-analysis-large/) — Who cites «Semi-automatic error analysis for large-scale statistical machine translation» - [kirov-2017-rich-morphological-tagger-english-exploring](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/kirov-2017-rich-morphological-tagger-english-exploring/) — Who cites «A Rich Morphological Tagger for English: Exploring the Cross-Linguistic Tradeoff Between Morphology and Syntax» - [klein-2020-qanom-question-answer-driven-srl](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/klein-2020-qanom-question-answer-driven-srl/) — Who cites «QANom: Question-Answer driven SRL for Nominalizations» - [knott-2003-syntactic-disambiguation-presupposition-resolution](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/knott-2003-syntactic-disambiguation-presupposition-resolution/) — Who cites «Syntactic disambiguation using presupposition resolution» - [ko-2020-inquisitive-question-generation-high-level](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/ko-2020-inquisitive-question-generation-high-level/) — Who cites «Inquisitive Question Generation for High Level Text Comprehension» - [ko-2023-discourse-analysis-questions-answers-parsing](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/ko-2023-discourse-analysis-questions-answers-parsing/) — Who cites «Discourse Analysis via Questions and Answers: Parsing Dependency Structures of Questions Under Discussion» - [kocisky-2018-narrativeqa-reading-comprehension-challenge](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/kocisky-2018-narrativeqa-reading-comprehension-challenge/) — Who cites «The NarrativeQA Reading Comprehension Challenge» - [kocisky-2018-narrativeqa-reading-comprehension-challenge-2](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/kocisky-2018-narrativeqa-reading-comprehension-challenge-2/) — Who cites «The NarrativeQA Reading Comprehension Challenge» · page 2 - [kocisky-2018-narrativeqa-reading-comprehension-challenge-3](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/kocisky-2018-narrativeqa-reading-comprehension-challenge-3/) — Who cites «The NarrativeQA Reading Comprehension Challenge» · page 3 - [kocisky-2018-narrativeqa-reading-comprehension-challenge-4](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/kocisky-2018-narrativeqa-reading-comprehension-challenge-4/) — Who cites «The NarrativeQA Reading Comprehension Challenge» · page 4 - [kocisky-2018-narrativeqa-reading-comprehension-challenge-5](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/kocisky-2018-narrativeqa-reading-comprehension-challenge-5/) — Who cites «The NarrativeQA Reading Comprehension Challenge» · page 5 - [kolachina-2012-parsing-any-domain-english-text](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/kolachina-2012-parsing-any-domain-english-text/) — Who cites «Parsing Any Domain English text to CoNLL dependencies» - [kolhatkar-2018-survey-anaphora-non-nominal-antecedents](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/kolhatkar-2018-survey-anaphora-non-nominal-antecedents/) — Who cites «Anaphora With Non-nominal Antecedents in Computational Linguistics: a Survey» - [konstas-2017-neural-amr-sequence-sequence-models](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/konstas-2017-neural-amr-sequence-sequence-models/) — Who cites «Neural AMR: Sequence-to-Sequence Models for Parsing and Generation» - [konstas-2017-neural-amr-sequence-sequence-models-2](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/konstas-2017-neural-amr-sequence-sequence-models-2/) — Who cites «Neural AMR: Sequence-to-Sequence Models for Parsing and Generation» · page 2 - [koyama-2025-targeted-syntactic-evaluation-grammatical-error](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/koyama-2025-targeted-syntactic-evaluation-grammatical-error/) — Who cites «Targeted Syntactic Evaluation for Grammatical Error Correction» - [krause-2024-gricean-maxims-nlp-survey](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/krause-2024-gricean-maxims-nlp-survey/) — Who cites «The Gricean Maxims in NLP — A Survey» - [krishna-2020-reformulating-unsupervised-style-transfer-as](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/krishna-2020-reformulating-unsupervised-style-transfer-as/) — Who cites «Reformulating Unsupervised Style Transfer as Paraphrase Generation» - [krishna-2020-reformulating-unsupervised-style-transfer-as-2](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/krishna-2020-reformulating-unsupervised-style-transfer-as-2/) — Who cites «Reformulating Unsupervised Style Transfer as Paraphrase Generation» · page 2 [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**[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/)