---
title: "The University of Melbourne — works"
description: "47 works by researchers of The University of Melbourne in our library, the most cited first."
canonical: "https://research.elamur.ai/free/en/universities/the-university-of-melbourne/works/"
---
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# Works of The University of Melbourne

47 works · the most cited first · [← The University of Melbourne](https://md.research.elamur.ai/free/en/universities/the-university-of-melbourne/)

1. [**Explanation in Artificial Intelligence: Insights from the Social Sciences**Tim Miller*2017 · 5,362 citations*](https://md.research.elamur.ai/free/en/papers/miller-2017-explanation-artificial-intelligence-insights-social/)
2. [**NLTK: The Natural Language Toolkit**Steven Bird*2006 · 1,372 citations*](https://md.research.elamur.ai/free/en/papers/bird-2006-nltk-natural-language-toolkit/)
3. [**A Comprehensive Overview of Large Language Models**Humza Naveed, Asad Ullah Khan, Shi Qiu, et al.*2023 · 1,286 citations*](https://md.research.elamur.ai/free/en/papers/naveed-2023-comprehensive-overview-large-language-models/)
4. [**BERTweet: A pre-trained language model for English Tweets**Dat Quoc Nguyen, Thanh Vu, Anh Tuan Nguyen*2020 · 1,139 citations*](https://md.research.elamur.ai/free/en/papers/nguyen-2020-bertweet-pre-trained-language-model/)
5. [**A Novel Embedding Model for Knowledge Base Completion Based on Convolutional Neural Network**Dai Quoc Nguyen, Tu Dinh Nguyen, Dat Quoc Nguyen, et al.*2018 · 944 citations*](https://md.research.elamur.ai/free/en/papers/nguyen-2018-novel-embedding-model-knowledge-base/)
6. [**Findings of the 2016 Conference on Machine Translation**Ondřej Bojar, Rajen Chatterjee, Christian Federmann, et al.*2016 · 936 citations*](https://md.research.elamur.ai/free/en/papers/bojar-2016-findings-2016-conference-machine-translation/)
7. [**Automatic Evaluation of Topic Coherence**David Newman, Jey Han Lau, Karl Grieser, et al.*2010 · 823 citations*](https://md.research.elamur.ai/free/en/papers/newman-2010-automatic-evaluation-topic-coherence/)
8. [**langid.py: An Off-the-shelf Language Identification Tool**Marco Lui, Timothy Baldwin*2012 · 695 citations*](https://md.research.elamur.ai/free/en/papers/lui-2012-langid-py-off-shelf-language/)
9. [**Lexical Normalisation of Short Text Messages: Makn Sens a #twitter**Bo Han, Timothy Baldwin*2011 · 586 citations*](https://md.research.elamur.ai/free/en/papers/han-2011-lexical-normalisation-short-text-messages/)
10. [**PhoBERT: Pre-trained language models for Vietnamese**Dat Quoc Nguyen, Anh Tuan Nguyen*2020 · 571 citations*](https://md.research.elamur.ai/free/en/papers/nguyen-2020-phobert-pre-trained-language-models/)
11. [**SemEval-2010 Task 5 : Automatic Keyphrase Extraction from Scientific Articles**Su Nam Kim, Olena Medelyan, Min-Yen Kan, et al.*2010 · 459 citations*](https://md.research.elamur.ai/free/en/papers/kim-2010-semeval-2010-task-5-automatic/)
12. [**Graph-to-Sequence Learning using Gated Graph Neural Networks**Daniel Beck, Gholamreza Haffari, Trevor Cohn*2018 · 456 citations*](https://md.research.elamur.ai/free/en/papers/beck-2018-graph-sequence-learning-gated-graph/)
13. [**GPT-NER: Named Entity Recognition via Large Language Models**Shuhe Wang, Xiaofei Sun, Xiaoya Li, et al.*2025 · 436 citations*](https://md.research.elamur.ai/free/en/papers/wang-2025-gpt-ner-named-entity-recognition/)
14. [**Iterative Back-Translation for Neural Machine Translation**Vu Cong Duy Hoang, Philipp Koehn, Gholamreza Haffari, et al.*2018 · 420 citations*](https://md.research.elamur.ai/free/en/papers/hoang-2018-iterative-back-translation-neural-machine/)
15. [**Tangled up in BLEU: Reevaluating the Evaluation of Automatic Machine Translation Evaluation Metrics**Nitika Mathur, Timothy Baldwin, Trevor Cohn*2020 · 385 citations*](https://md.research.elamur.ai/free/en/papers/mathur-2020-tangled-up-bleu-reevaluating-evaluation/)
16. [**CMMLU: Measuring massive multitask language understanding in Chinese**Haonan Li, Yixuan Zhang, Fajri Koto, et al.*2023 · 384 citations*](https://md.research.elamur.ai/free/en/papers/li-2023-cmmlu-measuring-massive-multitask-language/)
17. [**The ACL Anthology Reference Corpus: A Reference Dataset for Bibliographic Research in Computational Linguistics**Steven Bird, Robert Dale, Bonnie Dorr, et al.*2008 · 364 citations*](https://md.research.elamur.ai/free/en/papers/bird-2008-acl-anthology-reference-corpus-reference/)
18. [**Massively Multilingual Transfer for NER**Afshin Rahimi, Yuan Li, Trevor Cohn*2019 · 328 citations*](https://md.research.elamur.ai/free/en/papers/rahimi-2019-massively-multilingual-transfer-ner/)
19. [**Automatic Language Identification in Texts: A Survey**Tommi Jauhiainen, Marco Lui, Marcos Zampieri, et al.*2019 · 277 citations*](https://md.research.elamur.ai/free/en/papers/jauhiainen-2019-automatic-language-identification-texts/)
20. [**How Noisy Social Media Text, How Diffrnt Social Media Sources?**Timothy Baldwin, Paul Cook, Marco Lui, et al.*2013 · 275 citations*](https://md.research.elamur.ai/free/en/papers/baldwin-2013-how-noisy-social-media-text/)
21. [**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/)
22. [**Towards Robust and Privacy-preserving Text Representations**Yitong Li, Timothy Baldwin, Trevor Cohn*2018 · 233 citations*](https://md.research.elamur.ai/free/en/papers/li-2018-robust-privacy-preserving-text-representations/)
23. [**Results of the WMT20 Metrics Shared Task**Nitika Mathur, Johnny Wei, Markus Freitag, et al.*2020 · 195 citations*](https://md.research.elamur.ai/free/en/papers/mathur-2020-results-wmt20-metrics-shared-task/)
24. [**Word Sense Induction for Novel Sense Detection**Jey Han Lau, Paul Cook, Diana McCarthy, et al.*2012 · 187 citations*](https://md.research.elamur.ai/free/en/papers/lau-2012-word-sense-induction-novel-sense/)
25. [**Results of the WMT21 Metrics Shared Task: Evaluating Metrics with Expert-based Human Evaluations on TED and News Domain**Markus Freitag, Ricardo Rei, Nitika Mathur, et al.*2021 · 169 citations*](https://md.research.elamur.ai/free/en/papers/freitag-2021-results-wmt21-metrics-shared-task/)
26. [**Automatic Detection and Language Identification of Multilingual Documents**Marco Lui, Jey Han Lau, Timothy Baldwin*2014 · 157 citations*](https://md.research.elamur.ai/free/en/papers/lui-2014-automatic-detection-language-identification-multilingual/)
27. [**Accurate Evaluation of Segment-level Machine Translation Metrics**Yvette Graham, Timothy Baldwin, Nitika Mathur*2015 · 155 citations*](https://md.research.elamur.ai/free/en/papers/graham-2015-accurate-evaluation-segment-level-machine/)
28. [**Automatic Interpretation of Noun Compounds Using WordNet Similarity**Su Nam Kim, Timothy Baldwin*2005 · 134 citations*](https://md.research.elamur.ai/free/en/papers/kim-2005-automatic-interpretation-noun-compounds-wordnet/)
29. [**Classifying Dialogue Acts in One-on-One Live Chats**Su Nam Kim, Lawrence Cavedon, Timothy Baldwin*2010 · 125 citations*](https://md.research.elamur.ai/free/en/papers/kim-2010-classifying-dialogue-acts-one-one/)
30. [**UniMorph 3.0: Universal Morphology**Arya D. McCarthy, Christo Kirov, Matteo Grella, et al.*2020 · 122 citations*](https://md.research.elamur.ai/free/en/papers/mccarthy-2020-unimorph-3-0-universal-morphology/)
31. [**ArabicMMLU: Assessing Massive Multitask Language Understanding in Arabic**Fajri Koto, Haonan Li, Sara Shatnawi, et al.*2024 · 116 citations*](https://md.research.elamur.ai/free/en/papers/koto-2024-arabicmmlu-assessing-massive-multitask-language/)
32. [**Data Engineering for Scaling Language Models to 128K Context**Yao Fu, Rameswar Panda, Xinyao Niu, et al.*2024 · 107 citations*](https://md.research.elamur.ai/free/en/papers/fu-2024-data-engineering-scaling-language-models/)
33. [**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/)
34. [**The SIGMORPHON 2022 Shared Task on Morpheme Segmentation**Khuyagbaatar Batsuren, Gabor Bella, Aryaman Arora*2022 · 71 citations*](https://md.research.elamur.ai/free/en/papers/batsuren-2022-morpheme-segmentation/)
35. [**Findings of the WMT 2017 Biomedical Translation Shared Task**Antonio Jimeno Yepes, Aurélie Névéol, Mariana Neves, et al.*2017 · 69 citations*](https://md.research.elamur.ai/free/en/papers/yepes-2017-findings-wmt-2017-biomedical-translation/)
36. [**Dialogue Act Tagging for Instant Messaging Chat Sessions**Edward Ivanovic*2005 · 57 citations*](https://md.research.elamur.ai/free/en/papers/ivanovic-2005-dialogue-act-tagging-instant-messaging/)
37. [**Findings of the WMT 2019 Biomedical Translation Shared Task: Evaluation for MEDLINE Abstracts and Biomedical Terminologies**Rachel Bawden, Kevin Bretonnel Cohen, Cristian Grozea, et al.*2019 · 54 citations*](https://md.research.elamur.ai/free/en/papers/bawden-2019-findings-wmt-2019-biomedical-translation/)
38. [**Top-down Discourse Parsing via Sequence Labelling**Fajri Koto, Jey Han Lau, Timothy Baldwin*2021 · 37 citations*](https://md.research.elamur.ai/free/en/papers/koto-2021-top-down-discourse-parsing-sequence/)
39. [**Classifying Dialogue Acts in Multi-party Live Chats**Su Nam Kim, Lawrence Cavedon, Timothy Baldwin*2012 · 34 citations*](https://md.research.elamur.ai/free/en/papers/kim-2012-classifying-dialogue-acts-multi-party/)
40. [**What does it take to bake a cake? The RecipeRef corpus and anaphora resolution in procedural text**Biaoyan Fang, Timothy Baldwin, Karin Verspoor*2022 · 32 citations*](https://md.research.elamur.ai/free/en/papers/fang-2022-what-does-it-take-bake/)
41. [**The Referential Reader: A Recurrent Entity Network for Anaphora Resolution**Fei Liu, Luke Zettlemoyer, Jacob Eisenstein*2019 · 31 citations*](https://md.research.elamur.ai/free/en/papers/liu-2019-referential-reader-recurrent-entity-network/)
42. [**ChEMU-Ref: A Corpus for Modeling Anaphora Resolution in the Chemical Domain**Biaoyan Fang, Christian Druckenbrodt, Saber A Akhondi, et al.*2021 · 27 citations*](https://md.research.elamur.ai/free/en/papers/fang-2021-chemu-ref-corpus-modeling-anaphora/)
43. [**Incorporating Syntax and Semantics in Coreference Resolution with Heterogeneous Graph Attention Network**Fan Jiang, Trevor Cohn*2021 · 23 citations*](https://md.research.elamur.ai/free/en/papers/jiang-2021-incorporating-syntax-semantics-coreference-resolution/)
44. [**A Language-agnostic Model of Child Language Acquisition**Louis Mahon, Omri Abend, Uri Berger, et al.*2024 · 3 citations*](https://md.research.elamur.ai/free/en/papers/mahon-2024-language-agnostic-model-child-language/)
45. [**Pragmatic information extraction from subject ellipsis in informal English**Shigeko Nariyama*2006 · 3 citations*](https://md.research.elamur.ai/free/en/papers/nariyama-2006-pragmatic-information-extraction-subject-ellipsis/)
46. [**Context Volume Drives Performance: Tackling Domain Shift in Extremely Low-Resource Translation via RAG**David Samuel Setiawan, Raphaël Merx, Jey Han Lau*2026 · 1 citation*](https://md.research.elamur.ai/free/en/papers/setiawan-2026-context-volume-drives-performance-tackling/)
47. [**A Fusion-Aware Two-Stage Framework for Mispronunciation Detection and Diagnosis in Low-Resource Modern Standard Arabic**Jing Yang, Shuqing Zhang, Yongyi Deng, et al.*2026*](https://md.research.elamur.ai/free/en/papers/yang-2026-fusion-aware-two-stage-framework/)
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