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title: "Johns Hopkins University — works, page 2"
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# Works of Johns Hopkins University

151 works · page 2 of 2 · the most cited first · [← Johns Hopkins University](https://md.research.elamur.ai/free/en/universities/johns-hopkins-university/)

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101. [**Don't Take the Premise for Granted: Mitigating Artifacts in Natural Language Inference**Yonatan Belinkov, Adam Poliak, Stuart Shieber, et al.*2019 · 121 citations*](https://md.research.elamur.ai/free/en/papers/belinkov-2019-don-t-take-premise-granted/)
102. [**Constructing Corpora for the Development and Evaluation of Paraphrase Systems**Trevor Cohn, Chris Callison-Burch, Mirella Lapata*2008 · 118 citations*](https://md.research.elamur.ai/free/en/papers/cohn-2008-constructing-corpora-development-evaluation-paraphrase/)
103. [**The Johns Hopkins University Bible Corpus: 1600+ Tongues for Typological Exploration**Arya D. McCarthy, Rachel Wicks, Dylan Lewis, et al.*2020 · 115 citations*](https://md.research.elamur.ai/free/en/papers/mccarthy-2020-johns-hopkins-university-bible-corpus/)
104. [**Coreference Resolution with Reconcile**Veselin Stoyanov, Claire Cardie, Nathan Gilbert, et al.*2010 · 114 citations*](https://md.research.elamur.ai/free/en/papers/stoyanov-2010-coreference-resolution-reconcile/)
105. [**Neural Models of Factuality**Rachel Rudinger, Aaron Steven White, Benjamin Van Durme*2018 · 111 citations*](https://md.research.elamur.ai/free/en/papers/rudinger-2018-neural-models-factuality/)
106. [**Low-Resource Corpus Filtering Using Multilingual Sentence Embeddings**Vishrav Chaudhary, Yuqing Tang, Francisco Guzmán, et al.*2019 · 110 citations*](https://md.research.elamur.ai/free/en/papers/chaudhary-2019-low-resource-corpus-filtering-multilingual/)
107. [**Inference is Everything: Recasting Semantic Resources into a Unified Evaluation Framework**Aaron Steven White, Pushpendre Rastogi, Kevin Duh, et al.*2017 · 110 citations*](https://md.research.elamur.ai/free/en/papers/white-2017-inference-is-everything-recasting-semantic/)
108. [**Measuring Machine Translation Errors in New Domains**Ann Irvine, John Morgan, Marine Carpuat, et al.*2013 · 104 citations*](https://md.research.elamur.ai/free/en/papers/irvine-2013-measuring-machine-translation-errors-new/)
109. [**Very-large Scale Parsing and Normalization of Wiktionary Morphological Paradigms**Christo Kirov, John Sylak-Glassman, Roger Que, et al.*2016 · 104 citations*](https://md.research.elamur.ai/free/en/papers/kirov-2016-wiktionary-paradigms/)
110. [**Uncertain Natural Language Inference**Tongfei Chen, Zhengping Jiang, Adam Poliak, et al.*2020 · 103 citations*](https://md.research.elamur.ai/free/en/papers/chen-2020-uncertain-natural-language-inference/)
111. [**Findings of the WMT 2020 Shared Task on Parallel Corpus Filtering and Alignment**Philipp Koehn, Vishrav Chaudhary, Ahmed El-Kishky, et al.*2020 · 100 citations*](https://md.research.elamur.ai/free/en/papers/koehn-2020-findings-wmt-2020-shared-task/)
112. [**Inverse Scaling: When Bigger Isn't Better**Ian R. McKenzie, Alexander Lyzhov, Michael Pieler, et al.*2023 · 99 citations*](https://md.research.elamur.ai/free/en/papers/mckenzie-2023-inverse-scaling-bigger-isn-t/)
113. [**The Galactic Dependencies Treebanks: Getting More Data by Synthesizing New Languages**Dingquan Wang, Jason Eisner*2016 · 98 citations*](https://md.research.elamur.ai/free/en/papers/wang-2016-galactic-dependencies-treebanks-getting-more/)
114. [**PreCo: A Large-scale Dataset in Preschool Vocabulary for Coreference Resolution**Hong Chen, Zhenhua Fan, Hao Lu, et al.*2018 · 84 citations*](https://md.research.elamur.ai/free/en/papers/chen-2018-preco-large-scale-dataset-preschool/)
115. [**Language Modeling for Morphologically Rich Languages: Character-Aware Modeling for Word-Level Prediction**Daniela Gerz, Ivan Vulić, Edoardo Ponti, et al.*2018 · 82 citations*](https://md.research.elamur.ai/free/en/papers/gerz-2018-language-modeling-morphologically-rich-languages/)
116. [**UniMorph 4.0: Universal Morphology**Khuyagbaatar Batsuren, Omer Goldman, Salam Khalifa*2022 · 82 citations*](https://md.research.elamur.ai/free/en/papers/batsuren-2022-unimorph-4/)
117. [**Modality and Negation in SIMT Use of Modality and Negation in Semantically-Informed Syntactic MT**Kathryn Baker, Michael Bloodgood, Bonnie J. Dorr, et al.*2012 · 77 citations*](https://md.research.elamur.ai/free/en/papers/baker-2012-modality-negation-simt-use-modality/)
118. [**MLQE-PE: A Multilingual Quality Estimation and Post-Editing Dataset**Marina Fomicheva, Shuo Sun, Erick Fonseca, et al.*2022 · 76 citations*](https://md.research.elamur.ai/free/en/papers/fomicheva-2022-mlqe-pe-multilingual-quality-estimation/)
119. [**FrameNet+: Fast Paraphrastic Tripling of FrameNet**Ellie Pavlick, Travis Wolfe, Pushpendre Rastogi, et al.*2015 · 75 citations*](https://md.research.elamur.ai/free/en/papers/pavlick-2015-framenet-fast-paraphrastic-tripling-framenet/)
120. [**Findings of the WMT25 General Machine Translation Shared Task: Time to Stop Evaluating on Easy Test Sets**Tom Kocmi, Ekaterina Artemova, Eleftherios Avramidis, et al.*2025 · 73 citations*](https://md.research.elamur.ai/free/en/papers/kocmi-2025-findings-wmt25-general-machine-translation/)
121. [**Implicit Discourse Relation Classification: We Need to Talk about Evaluation**Najoung Kim, Song Feng, Chulaka Gunasekara, et al.*2020 · 69 citations*](https://md.research.elamur.ai/free/en/papers/kim-2020-implicit-discourse-relation-classification-we/)
122. [**Streaming Cross Document Entity Coreference Resolution**Delip Rao, Paul McNamee, Mark Dredze*2010 · 67 citations*](https://md.research.elamur.ai/free/en/papers/rao-2010-streaming-cross-document-entity-coreference/)
123. [**Which Linguist Invented the Lightbulb? Presupposition Verification for Question-Answering**Najoung Kim, Ellie Pavlick, Burcu Karagol Ayan, et al.*2021 · 63 citations*](https://md.research.elamur.ai/free/en/papers/kim-2021-which-linguist-invented-lightbulb-presupposition/)
124. [**On Generalization in Coreference Resolution**Shubham Toshniwal, Patrick Xia, Sam Wiseman, et al.*2021 · 62 citations*](https://md.research.elamur.ai/free/en/papers/toshniwal-2021-generalization-coreference-resolution/)
125. [**Temporal Reasoning in Natural Language Inference**Siddharth Vashishtha, Adam Poliak, Yash Kumar Lal, et al.*2020 · 57 citations*](https://md.research.elamur.ai/free/en/papers/vashishtha-2020-temporal-reasoning-natural-language-inference/)
126. [**Paraphrase Generation as Zero-Shot Multilingual Translation: Disentangling Semantic Similarity from Lexical and Syntactic Diversity**Brian Thompson, Matt Post*2020 · 55 citations*](https://md.research.elamur.ai/free/en/papers/thompson-2020-paraphrase-generation-as-zero-shot/)
127. [**Incremental Neural Coreference Resolution in Constant Memory**Patrick Xia, João Sedoc, Benjamin Van Durme*2020 · 55 citations*](https://md.research.elamur.ai/free/en/papers/xia-2020-incremental-neural-coreference-resolution-constant/)
128. [**Marrying Universal Dependencies and Universal Morphology**Arya D. McCarthy, Miikka Silfverberg, Ryan Cotterell, et al.*2018 · 48 citations*](https://md.research.elamur.ai/free/en/papers/mccarthy-2018-marrying-universal-dependencies-universal-morphology/)
129. [**A Simple Joint Model for Improved Contextual Neural Lemmatization**Chaitanya Malaviya, Shijie Wu, Ryan Cotterell*2019 · 39 citations*](https://md.research.elamur.ai/free/en/papers/malaviya-2019-simple-joint-model-improved-contextual/)
130. [**A unified approach to sentence segmentation of punctuated text in many languages**Rachel Wicks, Matt Post*2021 · 38 citations*](https://md.research.elamur.ai/free/en/papers/wicks-2021-unified-approach-sentence-segmentation-punctuated/)
131. [**Adapting Coreference Resolution Models through Active Learning**Michelle Yuan, Patrick Xia, Chandler May, et al.*2022 · 35 citations*](https://md.research.elamur.ai/free/en/papers/yuan-2022-adapting-coreference-resolution-models-through/)
132. [**Construction of English MWE Dictionary and its Application to POS Tagging**Yutaro Shigeto, Ai Azuma, Sorami Hisamoto, et al.*2013 · 34 citations*](https://md.research.elamur.ai/free/en/papers/shigeto-2013-construction-english-mwe-dictionary-its/)
133. [**Morphological Word Embeddings for Arabic Neural Machine Translation in Low-Resource Settings**Pamela Shapiro, Kevin Duh*2018 · 25 citations*](https://md.research.elamur.ai/free/en/papers/shapiro-2018-morphological-word-embeddings-arabic-neural/)
134. [**Creating a Translation Matrix of the Bible's Names Across 591 Languages**Winston Wu, Nidhi Vyas, David Yarowsky*2018 · 25 citations*](https://md.research.elamur.ai/free/en/papers/wu-2018-creating-translation-matrix-bible-s/)
135. [**Low-Resource Authorship Style Transfer: Can Non-Famous Authors Be Imitated?**Ajay Patel, Nicholas Andrews, Chris Callison-Burch*2022 · 24 citations*](https://md.research.elamur.ai/free/en/papers/patel-2022-low-resource-authorship-style-transfer/)
136. [**A Rich Morphological Tagger for English: Exploring the Cross-Linguistic Tradeoff Between Morphology and Syntax**Christo Kirov, John Sylak-Glassman, Rebecca Knowles, et al.*2017 · 21 citations*](https://md.research.elamur.ai/free/en/papers/kirov-2017-rich-morphological-tagger-english-exploring/)
137. [**What Helps Transformers Recognize Conversational Structure? Importance of Context, Punctuation, and Labels in Dialog Act Recognition**Piotr Żelasko, Raghavendra Pappagari, Najim Dehak*2021 · 19 citations*](https://md.research.elamur.ai/free/en/papers/zelasko-2021-what-helps-transformers-recognize-conversational/)
138. [**Augmenting FrameNet Via PPDB**Pushpendre Rastogi, Benjamin Van Durme*2014 · 17 citations*](https://md.research.elamur.ai/free/en/papers/rastogi-2014-augmenting-framenet-ppdb/)
139. [**Joint Universal Syntactic and Semantic Parsing**Elias Stengel-Eskin, Kenton Murray, Sheng Zhang, et al.*2021 · 15 citations*](https://md.research.elamur.ai/free/en/papers/eskin-2021-joint-universal-syntactic-semantic-parsing/)
140. [**Unsupervised Syntactically Controlled Paraphrase Generation with Abstract Meaning Representations**Kuan-Hao Huang, Varun Iyer, Anoop Kumar, et al.*2022 · 15 citations*](https://md.research.elamur.ai/free/en/papers/huang-2022-unsupervised-syntactically-controlled-paraphrase-generation/)
141. [**Wiktionary Normalization of Translations and Morphological Information**Winston Wu, David Yarowsky*2020 · 12 citations*](https://md.research.elamur.ai/free/en/papers/wu-2020-wiktionary-normalization/)
142. [**Multilingual Coreference Resolution in Multiparty Dialogue**Boyuan Zheng, Patrick Xia, Mahsa Yarmohammadi, et al.*2023 · 11 citations*](https://md.research.elamur.ai/free/en/papers/zheng-2023-multilingual-coreference-resolution-multiparty-dialogue/)
143. [**Modelling the Usage of Discourse Connectives as Rational Speech Acts**Frances Yung, Kevin Duh, Taku Komura, et al.*2016 · 5 citations*](https://md.research.elamur.ai/free/en/papers/yung-2016-modelling-usage-discourse-connectives-as/)
144. [**Detecting Narrative Patterns in Biblical Hebrew and Greek**Hope McGovern, Hale Sirin, Tom Lippincott, et al.*2024 · 3 citations*](https://md.research.elamur.ai/free/en/papers/mcgovern-2024-detecting-narrative-patterns-biblical-hebrew/)
145. [**Generation in Machine Translation from Deep Syntactic Trees**Keith Hall, Petr Němec*2007 · 3 citations*](https://md.research.elamur.ai/free/en/papers/hall-2007-generation-machine-translation-deep-syntactic/)
146. [**Parser combinators for Tigrinya and Oromo morphology**Patrick Littell, Tom McCoy, Na-Rae Han, et al.*2018 · 2 citations*](https://md.research.elamur.ai/free/en/papers/littell-2018-parser-combinators-tigrinya-oromo-morphology/)
147. [**Graph convolutional networks for exploring authorship hypotheses**Tom Lippincott*2019 · 1 citation*](https://md.research.elamur.ai/free/en/papers/lippincott-2019-graph-convolutional-networks-exploring-authorship/)
148. [**AMIYA Shared Task: Arabic Modeling In Your Accent at VarDial 2026**Nathaniel R. Robinson, Shahd Abdelmoneim, Anjali Kantharuban, et al.*2026 · 1 citation*](https://md.research.elamur.ai/free/en/papers/robinson-2026-amiya-shared-task-arabic-modeling/)
149. [**A Survey of Qualitative Error Analysis for Neural Machine Translation Systems**Denise Díaz, James Cross, Vishrav Chaudhary, et al.*2020*](https://md.research.elamur.ai/free/en/papers/diaz-2020-survey-qualitative-error-analysis-neural/)
150. [**Beyond Poetry: Can Large Language Models Generate Classical Arabic Maqamat?**AbdulRahman A. Morsy, Aya Zirikly Department of Computer Science, School of Engineering, et al.*2026*](https://md.research.elamur.ai/free/en/papers/morsy-2026-poetry-large-language-models-generate/)
151. [**A Transparent Model of Syntactic and Semantic Cue-based Retrieval**Shisen Yue, John T. Hale*2026*](https://md.research.elamur.ai/free/en/papers/yue-2026-transparent-model-syntactic-semantic-cue/)

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