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# papers/cited-by/

1934 pages

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- [roy-2015-solving-general-arithmetic-word-problems-2](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/roy-2015-solving-general-arithmetic-word-problems-2/) — Who cites «Solving General Arithmetic Word Problems» · page 2
- [roy-2015-solving-general-arithmetic-word-problems-3](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/roy-2015-solving-general-arithmetic-word-problems-3/) — Who cites «Solving General Arithmetic Word Problems» · page 3
- [roy-2015-solving-general-arithmetic-word-problems-4](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/roy-2015-solving-general-arithmetic-word-problems-4/) — Who cites «Solving General Arithmetic Word Problems» · page 4
- [roy-2017-unit-dependency-graph-arithmetic](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/roy-2017-unit-dependency-graph-arithmetic/) — Who cites «Unit Dependency Graph and its Application to Arithmetic Word Problem Solving»
- [roy-2018-mapping-declarative-knowledge-word-problem](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/roy-2018-mapping-declarative-knowledge-word-problem/) — Who cites «Mapping to Declarative Knowledge for Word Problem Solving»
- [rubino-2024-normalizing-without-modernizing-keeping-historical](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/rubino-2024-normalizing-without-modernizing-keeping-historical/) — Who cites «Normalizing without Modernizing: Keeping Historical Wordforms of Middle French while Reducing Spelling Variants»
- [rudinger-2018-neural-models-factuality](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/rudinger-2018-neural-models-factuality/) — Who cites «Neural Models of Factuality»
- [rudzicz-2010-towards-heuristic-categorization-prepositional-phrases](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/rudzicz-2010-towards-heuristic-categorization-prepositional-phrases/) — Who cites «Towards a Heuristic Categorization of Prepositional Phrases in English with WordNet»
- [russell-1986-dictionary-morphological-analyser-english](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/russell-1986-dictionary-morphological-analyser-english/) — Who cites «A Dictionary and Morphological Analyser for English»
- [sadler-1991-structural-non-correspondence-translation](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/sadler-1991-structural-non-correspondence-translation/) — Who cites «Structural Non-Correspondence in Translation»
- [sakaguchi-2012-joint-english-spelling-error-correction](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/sakaguchi-2012-joint-english-spelling-error-correction/) — Who cites «Joint English Spelling Error Correction and POS Tagging for Language Learners Writing»
- [sanagavarapu-2022-disentangling-indirect-answers-yes-no](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/sanagavarapu-2022-disentangling-indirect-answers-yes-no/) — Who cites «Disentangling Indirect Answers to Yes-No Questions in Real Conversations»
- [sanchez-2006-opentrad-apertium-open-source-machine](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/sanchez-2006-opentrad-apertium-open-source-machine/) — Who cites «Opentrad Apertium Open-Source Machine Translation System: an Opportunity for Business and Research»
- [santorini-1990-part-of-speech-tagging-guidelines-penn-treebank](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/santorini-1990-part-of-speech-tagging-guidelines-penn-treebank/) — Who cites «Part-of-Speech Tagging Guidelines for the Penn Treebank Project (3rd Revision)»
- [santorio-2017-probability-implicatures-unified-account-scalar](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/santorio-2017-probability-implicatures-unified-account-scalar/) — Who cites «Probability and implicatures: A unified account of the scalar effects of disjunction under modals»
- [schenk-1986-idioms-rosetta-machine-translation-system](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/schenk-1986-idioms-rosetta-machine-translation-system/) — Who cites «Idioms in the Rosetta Machine Translation System»
- [schmitt-2019-sherliic-typed-event-focused-lexical](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/schmitt-2019-sherliic-typed-event-focused-lexical/) — Who cites «SherLIiC: A Typed Event-Focused Lexical Inference Benchmark for Evaluating Natural Language Inference»
- [schneider-2017-adposition-case-supersenses-v2-6](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/schneider-2017-adposition-case-supersenses-v2-6/) — Who cites «Adposition and Case Supersenses v2.6: Guidelines for English»
- [schneider-2017-comparing-rule-based-smt-based](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/schneider-2017-comparing-rule-based-smt-based/) — Who cites «Comparing Rule-based and SMT-based Spelling Normalisation for English Historical Texts»
- [schneider-2021-mischievous-nominal-constructions-universal-dependencies](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/schneider-2021-mischievous-nominal-constructions-universal-dependencies/) — Who cites «Mischievous nominal constructions in Universal Dependencies»
- [scholman-2016-categories-coherence-relations-discourse-annotation](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/scholman-2016-categories-coherence-relations-discourse-annotation/) — Who cites «Categories of coherence relations in discourse annotation»
- [scholman-2022-discogem-crowdsourced-corpus-genre-mixed](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/scholman-2022-discogem-crowdsourced-corpus-genre-mixed/) — Who cites «DiscoGeM: A Crowdsourced Corpus of Genre-Mixed Implicit Discourse Relations»
- [schubert-2003-extracting-evaluating-general-world-knowledge](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/schubert-2003-extracting-evaluating-general-world-knowledge/) — Who cites «Extracting and evaluating general world knowledge from the Brown Corpus»
- [schuster-2020-harnessing-linguistic-signal-predict-scalar](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/schuster-2020-harnessing-linguistic-signal-predict-scalar/) — Who cites «Harnessing the linguistic signal to predict scalar inferences»
- [scivetti-2023-meaning-representation-english-prepositional-phrase](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/scivetti-2023-meaning-representation-english-prepositional-phrase/) — Who cites «Meaning Representation of English Prepositional Phrase Roles: SNACS Supersenses vs. Tectogrammatical Functors»
- [scontras-2021-practical-introduction-rational-speech-act](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/scontras-2021-practical-introduction-rational-speech-act/) — Who cites «A practical introduction to the Rational Speech Act modeling framework»
- [searle-1969-speech-acts](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/searle-1969-speech-acts/) — Who cites «Speech Acts: An Essay in the Philosophy of Language»
- [serasset-1999-unl-french-deconversion-as-transfer](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/serasset-1999-unl-french-deconversion-as-transfer/) — Who cites «UNL-French deconversion as transfer & generation from an interlingua with possible quality enhancement through offline human interaction»
- [setiawan-2009-topological-ordering-function-words-hierarchical](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/setiawan-2009-topological-ordering-function-words-hierarchical/) — Who cites «Topological Ordering of Function Words in Hierarchical Phrase-based Translation»
- [shafaei-2022-bajestan-semantic-properties-english-nominal-pluralization](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/shafaei-2022-bajestan-semantic-properties-english-nominal-pluralization/) — Who cites «Semantic properties of English nominal pluralization: Insights from word embeddings»
- [shahmohammadi-2023-encoding-discourse-structure-comparison-rst](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/shahmohammadi-2023-encoding-discourse-structure-comparison-rst/) — Who cites «Encoding Discourse Structure: Comparison of RST and QUD»
- [shen-2008-new-string-dependency-machine-translation](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/shen-2008-new-string-dependency-machine-translation/) — Who cites «A New String-to-Dependency Machine Translation Algorithm with a Target Dependency Language Model»
- [shen-2008-new-string-dependency-machine-translation-2](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/shen-2008-new-string-dependency-machine-translation-2/) — Who cites «A New String-to-Dependency Machine Translation Algorithm with a Target Dependency Language Model» · page 2
- [shen-2017-style-transfer-non-parallel-text](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/shen-2017-style-transfer-non-parallel-text/) — Who cites «Style Transfer from Non-Parallel Text by Cross-Alignment»
- [shen-2017-style-transfer-non-parallel-text-2](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/shen-2017-style-transfer-non-parallel-text-2/) — Who cites «Style Transfer from Non-Parallel Text by Cross-Alignment» · page 2
- [shen-2017-style-transfer-non-parallel-text-3](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/shen-2017-style-transfer-non-parallel-text-3/) — Who cites «Style Transfer from Non-Parallel Text by Cross-Alignment» · page 3
- [shen-2017-style-transfer-non-parallel-text-4](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/shen-2017-style-transfer-non-parallel-text-4/) — Who cites «Style Transfer from Non-Parallel Text by Cross-Alignment» · page 4
- [shen-2019-pragmatically-informative-text-generation](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/shen-2019-pragmatically-informative-text-generation/) — Who cites «Pragmatically Informative Text Generation»
- [shen-2026-children-s-english-reading-story](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/shen-2026-children-s-english-reading-story/) — Who cites «Children's English Reading Story Generation via Supervised Fine-Tuning of Compact LLMs with Controllable Difficulty and Safety»
- [shi-2020-semantic-role-labeling-as-syntactic](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/shi-2020-semantic-role-labeling-as-syntactic/) — Who cites «Semantic Role Labeling as Syntactic Dependency Parsing»
- [shi-2022-stepgame-new-benchmark-robust-multi](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/shi-2022-stepgame-new-benchmark-robust-multi/) — Who cites «StepGame: A New Benchmark for Robust Multi-Hop Spatial Reasoning in Texts»
- [shi-2023-amr-tst-abstract-meaning-representation](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/shi-2023-amr-tst-abstract-meaning-representation/) — Who cites «AMR-TST: Abstract Meaning Representation-based Text Style Transfer»
- [shieber-2004-synchronous-grammars-as-tree-transducers](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/shieber-2004-synchronous-grammars-as-tree-transducers/) — Who cites «Synchronous Grammars as Tree Transducers»
- [shieber-2014-bimorphisms-synchronous-grammars](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/shieber-2014-bimorphisms-synchronous-grammars/) — Who cites «Bimorphisms and synchronous grammars»
- [shigeto-2013-construction-english-mwe-dictionary-its](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/shigeto-2013-construction-english-mwe-dictionary-its/) — Who cites «Construction of English MWE Dictionary and its Application to POS Tagging»
- [shimorina-2021-error-analysis-framework-shallow-surface](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/shimorina-2021-error-analysis-framework-shallow-surface/) — Who cites «An Error Analysis Framework for Shallow Surface Realization»
- [siddharthan-2011-text-simplification-typed-dependencies-comparision](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/siddharthan-2011-text-simplification-typed-dependencies-comparision/) — Who cites «Text Simplification using Typed Dependencies: A Comparision of the Robustness of Different Generation Strategies»
- [siddharthan-2014-hybrid-text-simplification-synchronous-dependency](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/siddharthan-2014-hybrid-text-simplification-synchronous-dependency/) — Who cites «Hybrid text simplification using synchronous dependency grammars with hand-written and automatically harvested rules»
- [sieker-2023-when-your-language-model-cannot](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/sieker-2023-when-your-language-model-cannot/) — Who cites «When Your Language Model Cannot Even Do Determiners Right: Probing for Anti-Presuppositions and the Maximize Presupposition! Principle»
- [silcock-2023-massive-scale-semantic-similarity-dataset](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/silcock-2023-massive-scale-semantic-similarity-dataset/) — Who cites «A Massive Scale Semantic Similarity Dataset of Historical English»
- [silveira-2015-does-universal-dependencies-need-parsing](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/silveira-2015-does-universal-dependencies-need-parsing/) — Who cites «Does Universal Dependencies need a parsing representation? An investigation of English»
- [slocum-1985-survey-machine-translation-its-history](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/slocum-1985-survey-machine-translation-its-history/) — Who cites «A Survey of Machine Translation: Its History, Current Status and Future Prospects»
- [smets-2003-high-quality-machine-translation-machine](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/smets-2003-high-quality-machine-translation-machine/) — Who cites «High quality machine translation using a machine-learned sentence realization component»
- [smith-2006-quasi-synchronous-grammars-alignment-soft](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/smith-2006-quasi-synchronous-grammars-alignment-soft/) — Who cites «Quasi-Synchronous Grammars: Alignment by Soft Projection of Syntactic Dependencies»
- [snover-2006-study-translation-edit-rate-targeted](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/snover-2006-study-translation-edit-rate-targeted/) — Who cites «A Study of Translation Edit Rate with Targeted Human Annotation»
- [snover-2006-study-translation-edit-rate-targeted-10](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/snover-2006-study-translation-edit-rate-targeted-10/) — Who cites «A Study of Translation Edit Rate with Targeted Human Annotation» · page 10
- [snover-2006-study-translation-edit-rate-targeted-11](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/snover-2006-study-translation-edit-rate-targeted-11/) — Who cites «A Study of Translation Edit Rate with Targeted Human Annotation» · page 11
- [snover-2006-study-translation-edit-rate-targeted-12](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/snover-2006-study-translation-edit-rate-targeted-12/) — Who cites «A Study of Translation Edit Rate with Targeted Human Annotation» · page 12
- [snover-2006-study-translation-edit-rate-targeted-13](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/snover-2006-study-translation-edit-rate-targeted-13/) — Who cites «A Study of Translation Edit Rate with Targeted Human Annotation» · page 13
- [snover-2006-study-translation-edit-rate-targeted-14](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/snover-2006-study-translation-edit-rate-targeted-14/) — Who cites «A Study of Translation Edit Rate with Targeted Human Annotation» · page 14
- [snover-2006-study-translation-edit-rate-targeted-15](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/snover-2006-study-translation-edit-rate-targeted-15/) — Who cites «A Study of Translation Edit Rate with Targeted Human Annotation» · page 15
- [snover-2006-study-translation-edit-rate-targeted-16](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/snover-2006-study-translation-edit-rate-targeted-16/) — Who cites «A Study of Translation Edit Rate with Targeted Human Annotation» · page 16
- [snover-2006-study-translation-edit-rate-targeted-2](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/snover-2006-study-translation-edit-rate-targeted-2/) — Who cites «A Study of Translation Edit Rate with Targeted Human Annotation» · page 2
- [snover-2006-study-translation-edit-rate-targeted-3](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/snover-2006-study-translation-edit-rate-targeted-3/) — Who cites «A Study of Translation Edit Rate with Targeted Human Annotation» · page 3
- [snover-2006-study-translation-edit-rate-targeted-4](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/snover-2006-study-translation-edit-rate-targeted-4/) — Who cites «A Study of Translation Edit Rate with Targeted Human Annotation» · page 4
- [snover-2006-study-translation-edit-rate-targeted-5](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/snover-2006-study-translation-edit-rate-targeted-5/) — Who cites «A Study of Translation Edit Rate with Targeted Human Annotation» · page 5
- [snover-2006-study-translation-edit-rate-targeted-6](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/snover-2006-study-translation-edit-rate-targeted-6/) — Who cites «A Study of Translation Edit Rate with Targeted Human Annotation» · page 6
- [snover-2006-study-translation-edit-rate-targeted-7](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/snover-2006-study-translation-edit-rate-targeted-7/) — Who cites «A Study of Translation Edit Rate with Targeted Human Annotation» · page 7
- [snover-2006-study-translation-edit-rate-targeted-8](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/snover-2006-study-translation-edit-rate-targeted-8/) — Who cites «A Study of Translation Edit Rate with Targeted Human Annotation» · page 8
- [snover-2006-study-translation-edit-rate-targeted-9](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/snover-2006-study-translation-edit-rate-targeted-9/) — Who cites «A Study of Translation Edit Rate with Targeted Human Annotation» · page 9
- [somers-1990-machine-translation-without-source-text](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/somers-1990-machine-translation-without-source-text/) — Who cites «Machine Translation without a source text»
- [song-2017-amr-text-generation-synchronous-node](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/song-2017-amr-text-generation-synchronous-node/) — Who cites «AMR-to-text Generation with Synchronous Node Replacement Grammar»
- [song-2019-semantic-neural-machine-translation-amr](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/song-2019-semantic-neural-machine-translation-amr/) — Who cites «Semantic Neural Machine Translation Using AMR»
- [soon-2001-machine-learning-approach-coreference-resolution](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/soon-2001-machine-learning-approach-coreference-resolution/) — Who cites «A Machine Learning Approach to Coreference Resolution of Noun Phrases»
- [soon-2001-machine-learning-approach-coreference-resolution-2](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/soon-2001-machine-learning-approach-coreference-resolution-2/) — Who cites «A Machine Learning Approach to Coreference Resolution of Noun Phrases» · page 2
- [soon-2001-machine-learning-approach-coreference-resolution-3](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/soon-2001-machine-learning-approach-coreference-resolution-3/) — Who cites «A Machine Learning Approach to Coreference Resolution of Noun Phrases» · page 3
- [soon-2001-machine-learning-approach-coreference-resolution-4](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/soon-2001-machine-learning-approach-coreference-resolution-4/) — Who cites «A Machine Learning Approach to Coreference Resolution of Noun Phrases» · page 4
- [soricut-2003-sentence-level-discourse-parsing-syntactic](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/soricut-2003-sentence-level-discourse-parsing-syntactic/) — Who cites «Sentence Level Discourse Parsing using Syntactic and Lexical Information»
- [soricut-2003-sentence-level-discourse-parsing-syntactic-2](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/soricut-2003-sentence-level-discourse-parsing-syntactic-2/) — Who cites «Sentence Level Discourse Parsing using Syntactic and Lexical Information» · page 2
- [sravanthi-2024-pub-pragmatics-understanding-benchmark-assessing](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/sravanthi-2024-pub-pragmatics-understanding-benchmark-assessing/) — Who cites «PUB: A Pragmatics Understanding Benchmark for Assessing LLMs' Pragmatics Capabilities»
- [stajner-2011-better-exploitation-brown-family-corpora](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/stajner-2011-better-exploitation-brown-family-corpora/) — Who cites «Towards a Better Exploitation of the Brown 'Family' Corpora in Diachronic Studies of British and American English Language Varieties»
- [stajner-2012-diachronic-changes-text-complexity-20th](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/stajner-2012-diachronic-changes-text-complexity-20th/) — Who cites «Diachronic Changes in Text Complexity in 20th Century English Language: An NLP Approach»
- [starr-2020-preference-semantics-imperatives](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/starr-2020-preference-semantics-imperatives/) — Who cites «A preference semantics for imperatives»
- [stephenson-2022-bert-he-predict-contrastive-focus](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/stephenson-2022-bert-he-predict-contrastive-focus/) — Who cites «BERT, can HE predict contrastive focus? Predicting and controlling prominence in neural TTS using a language model»
- [stowe-2021-semlink-2-0-chasing-lexical](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/stowe-2021-semlink-2-0-chasing-lexical/) — Who cites «SemLink 2.0: Chasing Lexical Resources»
- [stowe-2022-impli-investigating-nli-models-performance](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/stowe-2022-impli-investigating-nli-models-performance/) — Who cites «IMPLI: Investigating NLI Models' Performance on Figurative Language»
- [stoyanov-2009-conundrums-noun-phrase-coreference-resolution](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/stoyanov-2009-conundrums-noun-phrase-coreference-resolution/) — Who cites «Conundrums in Noun Phrase Coreference Resolution: Making Sense of the State-of-the-Art»
- [stymne-2011-blast-tool-error-analysis-machine](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/stymne-2011-blast-tool-error-analysis-machine/) — Who cites «Blast: A Tool for Error Analysis of Machine Translation Output»
- [suhr-2019-corpus-reasoning-natural-language-grounded](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/suhr-2019-corpus-reasoning-natural-language-grounded/) — Who cites «A Corpus for Reasoning About Natural Language Grounded in Photographs (NLVR2)»
- [suhr-2019-corpus-reasoning-natural-language-grounded-2](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/suhr-2019-corpus-reasoning-natural-language-grounded-2/) — Who cites «A Corpus for Reasoning About Natural Language Grounded in Photographs (NLVR2)» · page 2
- [sukhareva-2014-diachronic-proximity-vs-data-sparsity](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/sukhareva-2014-diachronic-proximity-vs-data-sparsity/) — Who cites «Diachronic proximity vs. data sparsity in cross-lingual parser projection. A case study on Germanic»
- [sulem-2018-semantic-structural-evaluation-text-simplification](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/sulem-2018-semantic-structural-evaluation-text-simplification/) — Who cites «Semantic Structural Evaluation for Text Simplification»
- [sulem-2018-simple-effective-text-simplification-semantic](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/sulem-2018-simple-effective-text-simplification-semantic/) — Who cites «Simple and Effective Text Simplification Using Semantic and Neural Methods»
- [surdeanu-2008-conll-2008-shared-task-joint](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/surdeanu-2008-conll-2008-shared-task-joint/) — Who cites «The CoNLL 2008 Shared Task on Joint Parsing of Syntactic and Semantic Dependencies»
- [surdeanu-2008-conll-2008-shared-task-joint-2](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/surdeanu-2008-conll-2008-shared-task-joint-2/) — Who cites «The CoNLL 2008 Shared Task on Joint Parsing of Syntactic and Semantic Dependencies» · page 2
- [surdeanu-2008-conll-2008-shared-task-joint-3](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/surdeanu-2008-conll-2008-shared-task-joint-3/) — Who cites «The CoNLL 2008 Shared Task on Joint Parsing of Syntactic and Semantic Dependencies» · page 3
- [syn-1998-netzer-generation-noun-compounds-hebrew-can](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/syn-1998-netzer-generation-noun-compounds-hebrew-can/) — Who cites «Generation of Noun Compounds in Hebrew: Can Syntactic Knowledge Be Fully Encapsulated?»
- [szubert-2018-structured-syntax-semantics-interface-english](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/szubert-2018-structured-syntax-semantics-interface-english/) — Who cites «A Structured Syntax-Semantics Interface for English-AMR Alignment»
- [tacl-2014-belinkov-exploring-compositional-architectures-word-vector](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/tacl-2014-belinkov-exploring-compositional-architectures-word-vector/) — Who cites «Exploring Compositional Architectures and Word Vector Representations for Prepositional Phrase Attachment»
- [tacl-2015-seeker-graph-based-lattice-dependency-parser](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/tacl-2015-seeker-graph-based-lattice-dependency-parser/) — Who cites «A Graph-based Lattice Dependency Parser for Joint Morphological Segmentation and Syntactic Analysis»

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