---
title: "University of Cambridge — works"
description: "119 works by researchers of University of Cambridge in our library · page 1 of 2, the most cited first."
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---
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# Works of University of Cambridge

119 works · page 1 of 2 · the most cited first · [← University of Cambridge](https://md.research.elamur.ai/free/en/universities/university-of-cambridge/)

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1. [**SciPy 1.0 — Fundamental Algorithms for Scientific Computing in Python**Pauli Virtanen, Ralf Gommers, Travis E. Oliphant, et al.*2019 · 38,317 citations*](https://md.research.elamur.ai/free/en/papers/virtanen-2019-scipy-1-0-fundamental-algorithms/)
2. [**Array Programming with NumPy**Charles R. Harris, K. Jarrod Millman, Stéfan J. van der Walt, et al.*2020 · 23,591 citations*](https://md.research.elamur.ai/free/en/papers/harris-2020-array-programming-numpy/)
3. [**Graph Attention Networks**Petar Veličkovic, Guillem Cucurull, Arantxa Casanova, et al.*2017 · 8,996 citations*](https://md.research.elamur.ai/free/en/papers/veli-vckovic-2017-graph-attention-networks/)
4. [**What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?**Alex Kendall, Yarin Gal*2017 · 2,844 citations*](https://md.research.elamur.ai/free/en/papers/kendall-2017-uncertainties-need-bayesian-deep-learning/)
5. [**FEVER: a Large-scale Dataset for Fact Extraction and VERification**James Thorne, Andreas Vlachos, Christos Christodoulopoulos, et al.*2018 · 2,205 citations*](https://md.research.elamur.ai/free/en/papers/thorne-2018-fever-large-scale-dataset-fact/)
6. [**Universal Dependencies v1: A Multilingual Treebank Collection**Joakim Nivre, Marie-Catherine de Marneffe, Filip Ginter, et al.*2016 · 1,739 citations*](https://md.research.elamur.ai/free/en/papers/nivre-2016-universal-dependencies-v1-multilingual-treebank/)
7. [**SimLex-999: Evaluating Semantic Models With (Genuine) Similarity Estimation**Felix Hill, Roi Reichart, Anna Korhonen*2015 · 1,622 citations*](https://md.research.elamur.ai/free/en/papers/hill-2015-simlex-999-evaluating-semantic-models/)
8. [**Multiword Expressions: A Pain in the Neck for NLP**Ivan A. Sag, Timothy Baldwin, Francis Bond, et al.*2002 · 1,497 citations*](https://md.research.elamur.ai/free/en/papers/sag-2002-multiword-expressions-pain-neck-nlp/)
9. [**Semantically Conditioned LSTM-based Natural Language Generation for Spoken Dialogue Systems**Tsung-Hsien Wen, Milica Gašić, Nikola Mrkšić, et al.*2015 · 1,192 citations*](https://md.research.elamur.ai/free/en/papers/wen-2015-semantically-conditioned-lstm-based-natural/)
10. [**StereoSet: Measuring stereotypical bias in pretrained language models**Moin Nadeem, Anna Bethke, Siva Reddy*2021 · 1,131 citations*](https://md.research.elamur.ai/free/en/papers/nadeem-2021-stereoset-measuring-stereotypical-bias-pretrained/)
11. [**A Theoretically Grounded Application of Dropout in Recurrent Neural Networks**Yarin Gal, Zoubin Ghahramani*2015 · 1,001 citations*](https://md.research.elamur.ai/free/en/papers/gal-2015-theoretically-grounded-application-dropout-recurrent/)
12. [**Siren's Song in the AI Ocean: A Survey on Hallucination in Large Language Models**Yue Zhang, Yafu Li, Leyang Cui, et al.*2023 · 962 citations*](https://md.research.elamur.ai/free/en/papers/zhang-2023-siren-s-song-ai-ocean/)
13. [**MAD-X: An Adapter-Based Framework for Multi-Task Cross-Lingual Transfer**Jonas Pfeiffer, Ivan Vulić, Iryna Gurevych, et al.*2020 · 831 citations*](https://md.research.elamur.ai/free/en/papers/pfeiffer-2020-mad-x-adapter-based-framework/)
14. [**A New Dataset and Method for Automatically Grading ESOL Texts**Helen Yannakoudakis, Ted Briscoe, Ben Medlock*2011 · 813 citations*](https://md.research.elamur.ai/free/en/papers/yannakoudakis-2011-new-dataset-method-automatically-grading/)
15. [**Supervised Learning of Universal Sentence Representations from Natural Language Inference Data**Alexis Conneau, Douwe Kiela, Holger Schwenk, et al.*2017 · 777 citations*](https://md.research.elamur.ai/free/en/papers/conneau-2017-supervised-learning-universal-sentence-representations/)
16. [**Summarizing Scientific Articles: Experiments with Relevance and Rhetorical Status**Simone Teufel, Marc Moens*2002 · 775 citations*](https://md.research.elamur.ai/free/en/papers/teufel-2002-summarizing-scientific-articles-experiments-relevance/)
17. [**Learning Distributed Representations of Sentences from Unlabelled Data**Felix Hill, Kyunghyun Cho, Anna Korhonen*2016 · 756 citations*](https://md.research.elamur.ai/free/en/papers/hill-2016-learning-distributed-representations-sentences-unlabelled/)
18. [**Crosslingual Generalization through Multitask Finetuning**Niklas Muennighoff, Thomas Wang, Lintang Sutawika, et al.*2022 · 692 citations*](https://md.research.elamur.ai/free/en/papers/muennighoff-2022-crosslingual-generalization-through-multitask-finetuning/)
19. [**KILT: a Benchmark for Knowledge Intensive Language Tasks**Fabio Petroni, Aleksandra Piktus, Angela Fan, et al.*2020 · 663 citations*](https://md.research.elamur.ai/free/en/papers/petroni-2020-kilt-benchmark-knowledge-intensive-language/)
20. [**A Survey on Automated Fact-Checking**Zhijiang Guo, Michael Schlichtkrull, Andreas Vlachos*2022 · 646 citations*](https://md.research.elamur.ai/free/en/papers/guo-2022-survey-automated-fact-checking/)
21. [**CoNLL 2017 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies**Daniel Zeman, Martin Popel, Milan Straka, et al.*2017 · 604 citations*](https://md.research.elamur.ai/free/en/papers/zeman-2017-conll-2017-shared-task-multilingual/)
22. [**MetaMath: Bootstrap Your Own Mathematical Questions for Large Language Models**Longhui Yu, Weisen Jiang, Han Shi, et al.*2023 · 556 citations*](https://md.research.elamur.ai/free/en/papers/yu-2023-metamath-bootstrap-your-own-mathematical/)
23. [**Automatic Annotation and Evaluation of Error Types for Grammatical Error Correction**Christopher Bryant, Mariano Felice, Ted Briscoe*2017 · 534 citations*](https://md.research.elamur.ai/free/en/papers/bryant-2017-automatic-annotation-evaluation-error-types/)
24. [**Automatic classification of citation function**Simone Teufel, Advaith Siddharthan, Dan Tidhar*2006 · 516 citations*](https://md.research.elamur.ai/free/en/papers/teufel-2006-automatic-classification-citation-function/)
25. [**The Second Release of the RASP System**Ted Briscoe, John Carroll, Rebecca Watson*2006 · 503 citations*](https://md.research.elamur.ai/free/en/papers/briscoe-2006-second-release-rasp-system/)
26. [**Gender Bias in Contextualized Word Embeddings**Jieyu Zhao, Tianlu Wang, Mark Yatskar, et al.*2019 · 503 citations*](https://md.research.elamur.ai/free/en/papers/zhao-2019-gender-bias-contextualized-word-embeddings/)
27. [**XCOPA: A Multilingual Dataset for Causal Commonsense Reasoning**Edoardo Maria Ponti, Goran Glavaš, Olga Majewska, et al.*2020 · 465 citations*](https://md.research.elamur.ai/free/en/papers/ponti-2020-xcopa-multilingual-dataset-causal-commonsense/)
28. [**Agenda-Based User Simulation for Bootstrapping a POMDP Dialogue System**Jost Schatzmann, Blaise Thomson, Karl Weilhammer, et al.*2007 · 452 citations*](https://md.research.elamur.ai/free/en/papers/schatzmann-2007-agenda-based-user-simulation-bootstrapping/)
29. [**How Good is Your Tokenizer? On the Monolingual Performance of Multilingual Language Models**Phillip Rust, Jonas Pfeiffer, Ivan Vulić, et al.*2021 · 444 citations*](https://md.research.elamur.ai/free/en/papers/rust-2021-how-good-is-your-tokenizer/)
30. [**Self-Alignment Pretraining for Biomedical Entity Representations**Fangyu Liu, Ehsan Shareghi, Zaiqiao Meng, et al.*2021 · 432 citations*](https://md.research.elamur.ai/free/en/papers/liu-2021-self-alignment-pretraining-biomedical-entity/)
31. [**Word-Based Dialog State Tracking with Recurrent Neural Networks**Matthew Henderson, Blaise Thomson, Steve Young*2014 · 431 citations*](https://md.research.elamur.ai/free/en/papers/henderson-2014-word-based-dialog-state-tracking/)
32. [**Offline bilingual word vectors, orthogonal transformations and the inverted softmax**Samuel L. Smith, David H. P. Turban, Steven Hamblin, et al.*2017 · 426 citations*](https://md.research.elamur.ai/free/en/papers/smith-2017-offline-bilingual-word-vectors-orthogonal/)
33. [**A Stochastic Finite-State Word-Segmentation Algorithm for Chinese**Richard W. Sproat, Chilin Shih, William Gale, et al.*1996 · 410 citations*](https://md.research.elamur.ai/free/en/papers/sproat-1996-stochastic-finite-state-word-segmentation/)
34. [**MEAD - A Platform for Multidocument Multilingual Text Summarization**Dragomir Radev, Timothy Allison, Sasha Blair-Goldensohn, et al.*2004 · 400 citations*](https://md.research.elamur.ai/free/en/papers/radev-2004-mead-platform-multidocument-multilingual-text/)
35. [**On the Limitations of Unsupervised Bilingual Dictionary Induction**Anders Søgaard, Sebastian Ruder, Ivan Vulić*2018 · 396 citations*](https://md.research.elamur.ai/free/en/papers/sogaard-2018-limitations-unsupervised-bilingual-dictionary-induction/)
36. [**Automatic Extraction of Subcategorization from Corpora**Ted Briscoe, John Carroll*1997 · 385 citations*](https://md.research.elamur.ai/free/en/papers/briscoe-1997-automatic-extraction-subcategorization-corpora/)
37. [**Representing Discourse Coherence: A Corpus-Based Study**Florian Wolf, Edward Gibson*2005 · 377 citations*](https://md.research.elamur.ai/free/en/papers/wolf-2005-representing-discourse-coherence-corpus-based/)
38. [**Counterfactual Data Augmentation for Mitigating Gender Stereotypes in Languages with Rich Morphology**Ran Zmigrod, Sabrina J. Mielke, Hanna Wallach, et al.*2019 · 371 citations*](https://md.research.elamur.ai/free/en/papers/zmigrod-2019-counterfactual-data-augmentation-mitigating-gender/)
39. [**SemEval-2020 Task 1: Unsupervised Lexical Semantic Change Detection**Dominik Schlechtweg, Barbara McGillivray, Simon Hengchen, et al.*2020 · 351 citations*](https://md.research.elamur.ai/free/en/papers/schlechtweg-2020-semeval-2020-task-1-unsupervised/)
40. [**Robust Accurate Statistical Annotation of General Text**Ted Briscoe, John Carroll*2002 · 350 citations*](https://md.research.elamur.ai/free/en/papers/briscoe-2002-robust-accurate-statistical-annotation-general/)
41. [**Teaching Small Language Models to Reason**Lucie Charlotte Magister, Jonathan Mallinson, Jakub Adamek, et al.*2023 · 340 citations*](https://md.research.elamur.ai/free/en/papers/magister-2023-teaching-small-language-models-reason/)
42. [**Probing Pretrained Language Models for Lexical Semantics**Ivan Vulić, Edoardo Maria Ponti, Robert Litschko, et al.*2020 · 320 citations*](https://md.research.elamur.ai/free/en/papers/vulic-2020-probing-pretrained-language-models-lexical/)
43. [**SimVerb-3500: A Large-Scale Evaluation Set of Verb Similarity**Daniela Gerz, Ivan Vulić, Felix Hill, et al.*2016 · 315 citations*](https://md.research.elamur.ai/free/en/papers/gerz-2016-simverb-3500-large-scale-evaluation/)
44. [**Automated Fact Checking: Task Formulations, Methods and Future Directions**James Thorne, Andreas Vlachos*2018 · 303 citations*](https://md.research.elamur.ai/free/en/papers/thorne-2018-automated-fact-checking-task-formulations/)
45. [**Challenges and Applications of Large Language Models**Jean Kaddour, Joshua Harris, Maximilian Mozes, et al.*2023 · 300 citations*](https://md.research.elamur.ai/free/en/papers/kaddour-2023-challenges-applications-large-language-models/)
46. [**AdapterDrop: On the Efficiency of Adapters in Transformers**Andreas Rücklé, Gregor Geigle, Max Glockner, et al.*2021 · 294 citations*](https://md.research.elamur.ai/free/en/papers/ruckle-2021-adapterdrop-efficiency-adapters-transformers/)
47. [**Information-Theoretic Probing for Linguistic Structure**Tiago Pimentel, Josef Valvoda, Rowan Hall Maudslay, et al.*2020 · 293 citations*](https://md.research.elamur.ai/free/en/papers/pimentel-2020-information-theoretic-probing-linguistic-structure/)
48. [**Black Holes and White Rabbits: Metaphor Identification with Visual Features**Ekaterina Shutova, Douwe Kiela, Jean Maillard*2016 · 292 citations*](https://md.research.elamur.ai/free/en/papers/shutova-2016-black-holes-white-rabbits-metaphor/)
49. [**Metaphor as a Medium for Emotion: An Empirical Study**Saif Mohammad, Ekaterina Shutova, Peter Turney*2016 · 285 citations*](https://md.research.elamur.ai/free/en/papers/mohammad-2016-metaphor-as-medium-emotion-empirical/)
50. [**Llemma: An Open Language Model For Mathematics**Zhangir Azerbayev, Hailey Schoelkopf, Keiran Paster, et al.*2023 · 275 citations*](https://md.research.elamur.ai/free/en/papers/azerbayev-2023-llemma-open-language-model-mathematics/)
51. [**ConveRT: Efficient and Accurate Conversational Representations from Transformers**Matthew Henderson, Iñigo Casanueva, Nikola Mrkšić, et al.*2020 · 267 citations*](https://md.research.elamur.ai/free/en/papers/henderson-2020-convert-efficient-accurate-conversational-representations/)
52. [**Weakly Supervised Learning for Hedge Classification in Scientific Literature**Ben Medlock, Ted Briscoe*2007 · 266 citations*](https://md.research.elamur.ai/free/en/papers/medlock-2007-weakly-supervised-learning-hedge-classification/)
53. [**Automatic Text Scoring Using Neural Networks**Dimitrios Alikaniotis, Helen Yannakoudakis, Marek Rei*2016 · 257 citations*](https://md.research.elamur.ai/free/en/papers/alikaniotis-2016-automatic-text-scoring-neural-networks/)
54. [**BPEmb: Tokenization-free Pre-trained Subword Embeddings in 275 Languages**Benjamin Heinzerling, Michael Strube*2018 · 256 citations*](https://md.research.elamur.ai/free/en/papers/heinzerling-2018-bpemb-tokenization-free-pre-trained/)
55. [**Personality Traits in Large Language Models**Greg Serapio-Garcia, Mustafa Safdari, Clement Crepy, et al.*2023 · 251 citations*](https://md.research.elamur.ai/free/en/papers/serapio-garcia-2023-personality-traits-large-language-models/)
56. [**The Curse of Recursion: Training on Generated Data Makes Models Forget**Ilia Shumailov, Zakhar Shumaylov, Yiren Zhao, et al.*2023 · 250 citations*](https://md.research.elamur.ai/free/en/papers/shumailov-2023-curse-recursion-training-generated-data/)
57. [**Metaphor Identification Using Verb and Noun Clustering**Ekaterina Shutova, Lin Sun, Anna Korhonen*2010 · 250 citations*](https://md.research.elamur.ai/free/en/papers/shutova-2010-metaphor-identification-verb-noun-clustering/)
58. [**Multimodal Few-Shot Learning with Frozen Language Models**Maria Tsimpoukelli, Jacob Menick, Serkan Cabi, et al.*2021 · 238 citations*](https://md.research.elamur.ai/free/en/papers/tsimpoukelli-2021-multimodal-few-shot-learning-frozen/)
59. [**Humanity's Last Exam**Long Phan, Alice Gatti, Ziwen Han, et al.*2025 · 235 citations*](https://md.research.elamur.ai/free/en/papers/phan-2025-humanity-s-last-exam/)
60. [**Learning to Understand Phrases by Embedding the Dictionary**Felix Hill, Kyunghyun Cho, Anna Korhonen, et al.*2016 · 234 citations*](https://md.research.elamur.ai/free/en/papers/hill-2016-learning-understand-phrases-embedding-dictionary/)
61. [**An Empirical Study on Compositionality in Compound Nouns**Siva Reddy, Diana McCarthy, Suresh Manandhar*2011 · 233 citations*](https://md.research.elamur.ai/free/en/papers/reddy-2011-empirical-study-compositionality-compound-nouns/)
62. [**TrustLLM: Trustworthiness in Large Language Models**Yue Huang, Lichao Sun, Haoran Wang, et al.*2024 · 226 citations*](https://md.research.elamur.ai/free/en/papers/huang-2024-trustllm-trustworthiness-large-language-models/)
63. [**Text Readability Assessment for Second Language Learners**Menglin Xia, Ekaterina Kochmar, Ted Briscoe*2016 · 222 citations*](https://md.research.elamur.ai/free/en/papers/xia-2016-text-readability-assessment-second-language/)
64. [**Modeling Language Variation and Universals: A Survey on Typological Linguistics for Natural Language Processing**Edoardo Maria Ponti, Helen O'Horan, Yevgeni Berzak, et al.*2019 · 217 citations*](https://md.research.elamur.ai/free/en/papers/ponti-2019-modeling-language-variation-universals-survey/)
65. [**Stochastic Language Generation in Dialogue using Recurrent Neural Networks with Convolutional Sentence Reranking**Tsung-Hsien Wen, Milica Gašić, Dongho Kim, et al.*2015 · 212 citations*](https://md.research.elamur.ai/free/en/papers/wen-2015-stochastic-language-generation-dialogue-recurrent/)
66. [**Autoformalization with Large Language Models**Yuhuai Wu, Albert Q. Jiang, Wenda Li, et al.*2022 · 202 citations*](https://md.research.elamur.ai/free/en/papers/wu-2022-autoformalization-large-language-models/)
67. [**On NMT Search Errors and Model Errors: Cat Got Your Tongue?**Felix Stahlberg, Bill Byrne*2019 · 197 citations*](https://md.research.elamur.ai/free/en/papers/stahlberg-2019-nmt-search-errors-model-errors/)
68. [**Reducing Gender Bias in Neural Machine Translation as a Domain Adaptation Problem**Danielle Saunders, Bill Byrne*2020 · 196 citations*](https://md.research.elamur.ai/free/en/papers/saunders-2020-reducing-gender-bias-neural-machine/)
69. [**Statistical Metaphor Processing**Ekaterina Shutova, Simone Teufel, Anna Korhonen*2013 · 196 citations*](https://md.research.elamur.ai/free/en/papers/shutova-2013-statistical-metaphor-processing/)
70. [**An Algebra for Semantic Construction in Constraint-based Grammars**Ann Copestake, Alex Lascarides, Dan Flickinger*2001 · 180 citations*](https://md.research.elamur.ai/free/en/papers/copestake-2001-algebra-semantic-construction-constraint-based/)
71. [**Knowledge Conflicts for LLMs: A Survey**Rongwu Xu, Zehan Qi, Zhijiang Guo, et al.*2024 · 179 citations*](https://md.research.elamur.ai/free/en/papers/xu-2024-knowledge-conflicts-llms-survey/)
72. [**The Fact Extraction and VERification Over Unstructured and Structured information (FEVEROUS) Shared Task**Rami Aly, Zhijiang Guo, Michael Sejr Schlichtkrull, et al.*2021 · 178 citations*](https://md.research.elamur.ai/free/en/papers/aly-2021-fact-extraction-verification-over-unstructured/)
73. [**Draft, Sketch, and Prove: Guiding Formal Theorem Provers with Informal Proofs**Albert Q. Jiang, Sean Welleck, Jin Peng Zhou, et al.*2022 · 175 citations*](https://md.research.elamur.ai/free/en/papers/jiang-2022-draft-sketch-prove-guiding-formal/)
74. [**UNKs Everywhere: Adapting Multilingual Language Models to New Scripts**Jonas Pfeiffer, Ivan Vulić, Iryna Gurevych, et al.*2021 · 174 citations*](https://md.research.elamur.ai/free/en/papers/pfeiffer-2021-unks-everywhere-adapting-multilingual-language/)
75. [**Neural Machine Translation Decoding with Terminology Constraints**Eva Hasler, Adrià de Gispert, Gonzalo Iglesias, et al.*2018 · 170 citations*](https://md.research.elamur.ai/free/en/papers/hasler-2018-neural-machine-translation-decoding-terminology/)
76. [**Metaphor Corpus Annotated for Source - Target Domain Mappings**Ekaterina Shutova, Simone Teufel*2010 · 164 citations*](https://md.research.elamur.ai/free/en/papers/shutova-2010-metaphor-corpus-annotated-source-target/)
77. [**Testing the Predictions of Surprisal Theory in 11 Languages**Ethan G. Wilcox, Tiago Pimentel, Clara Meister, et al.*2023 · 158 citations*](https://md.research.elamur.ai/free/en/papers/wilcox-2023-testing-predictions-surprisal-theory-11/)
78. [**Locally Typical Sampling**Clara Meister, Tiago Pimentel, Gian Wiher, et al.*2023 · 152 citations*](https://md.research.elamur.ai/free/en/papers/meister-2023-locally-typical-sampling/)
79. [**Will-They-Won't-They: A Very Large Dataset for Stance Detection on Twitter**Costanza Conforti, Jakob Berndt, Mohammad Taher Pilehvar, et al.*2020 · 151 citations*](https://md.research.elamur.ai/free/en/papers/conforti-2020-will-they-won-t-they/)
80. [**Transition-Based Parsing of the Chinese Treebank using a Global Discriminative Model**Yue Zhang, Stephen Clark*2009 · 151 citations*](https://md.research.elamur.ai/free/en/papers/zhang-2009-transition-based-parsing-chinese-treebank/)
81. [**OpenWebMath: An Open Dataset of High-Quality Mathematical Web Text**Keiran Paster, Marco Dos Santos, Zhangir Azerbayev, et al.*2023 · 124 citations*](https://md.research.elamur.ai/free/en/papers/paster-2023-openwebmath-open-dataset-high-quality/)
82. [**Parsing Tweets into Universal Dependencies**Yijia Liu, Yi Zhu, Wanxiang Che, et al.*2018 · 121 citations*](https://md.research.elamur.ai/free/en/papers/liu-2018-parsing-tweets-into-universal-dependencies/)
83. [**Corpus Annotation for Parser Evaluation**John Carroll, Guido Minnen, Ted Briscoe*1999 · 111 citations*](https://md.research.elamur.ai/free/en/papers/carroll-1999-corpus-annotation-parser-evaluation/)
84. [**Identifying the Information Structure of Scientific Abstracts: An Investigation of Three Different Schemes**Yufan Guo, Anna Korhonen, Maria Liakata, et al.*2010 · 93 citations*](https://md.research.elamur.ai/free/en/papers/guo-2010-identifying-information-structure-scientific-abstracts/)
85. [**Unbounded Dependency Recovery for Parser Evaluation**Laura Rimell, Stephen Clark, Mark Steedman*2009 · 86 citations*](https://md.research.elamur.ai/free/en/papers/rimell-2009-unbounded-dependency-recovery-parser-evaluation/)
86. [**Evaluation of Dependency Parsers on Unbounded Dependencies**Joakim Nivre, Laura Rimell, Ryan McDonald, et al.*2010 · 85 citations*](https://md.research.elamur.ai/free/en/papers/nivre-2010-evaluation-dependency-parsers-unbounded-dependencies/)
87. [**Processing Dictionary Definitions with Phrasal Pattern Hierarchies**Hiyan Alshawi*1987 · 84 citations*](https://md.research.elamur.ai/free/en/papers/alshawi-1987-processing-dictionary-definitions-phrasal-pattern/)
88. [**The Derivation of a Grammatically Indexed Lexicon from the Longman Dictionary of Contemporary English**Bran Boguraev, Ted Briscoe, John Carroll, et al.*1987 · 84 citations*](https://md.research.elamur.ai/free/en/papers/boguraev-1987-derivation-grammatically-indexed-lexicon-longman/)
89. [**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/)
90. [**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/)
91. [**Artificial Error Generation with Machine Translation and Syntactic Patterns**Marek Rei, Mariano Felice, Zheng Yuan, et al.*2017 · 82 citations*](https://md.research.elamur.ai/free/en/papers/rei-2017-artificial-error-generation-machine-translation/)
92. [**Multiword expressions: linguistic precision and reusability**Ann Copestake, Fabre Lambeau, Aline Villavicencio, et al.*2002 · 80 citations*](https://md.research.elamur.ai/free/en/papers/copestake-2002-multiword-expressions-linguistic-precision-reusability/)
93. [**The Tiberian Pronunciation Tradition of Biblical Hebrew**Geoffrey Khan*2020 · 75 citations*](https://md.research.elamur.ai/free/en/papers/khan-2020-tiberian-pronunciation-tradition-biblical/)
94. [**Statistical Anaphora Resolution in Biomedical Texts**Caroline Gasperin, Ted Briscoe*2008 · 66 citations*](https://md.research.elamur.ai/free/en/papers/gasperin-2008-statistical-anaphora-resolution-biomedical-texts/)
95. [**Semantic Composition with (Robust) Minimal Recursion Semantics**Ann Copestake*2007 · 63 citations*](https://md.research.elamur.ai/free/en/papers/copestake-2007-semantic-composition-robust-minimal-recursion/)
96. [**Multi-Tape Two-Level Morphology: A Case Study in Semitic Non-Linear Morphology**George Anton Kiraz*1994 · 62 citations*](https://md.research.elamur.ai/free/en/papers/kiraz-1994-multi-tape-two-level-morphology/)
97. [**The Unreasonable Effectiveness of Transformer Language Models in Grammatical Error Correction**Dimitris Alikaniotis, Vipul Raheja*2019 · 52 citations*](https://md.research.elamur.ai/free/en/papers/alikaniotis-2019-unreasonable-effectiveness-transformer-language-models/)
98. [**The Hebrew of the Dead Sea Scrolls and the Tiberian Reading Tradition**Aaron D. Hornkohl*2020 · 40 citations*](https://md.research.elamur.ai/free/en/papers/hornkohl-2020-hebrew-dead-sea-scrolls-tiberian/)
99. [**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/)
100. [**Left Dislocation in North-Eastern Neo-Aramaic dialects**Geoffrey Khan*2016 · 34 citations*](https://md.research.elamur.ai/free/en/papers/khan-2016-left-dislocation-north-eastern-neo/)

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