---
title: "University of Trento — works"
description: "50 works by researchers of University of Trento in our library, the most cited first."
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---
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# Works of University of Trento

50 works · the most cited first · [← University of Trento](https://md.research.elamur.ai/free/en/universities/university-of-trento/)

1. [**Survey Article: Inter-Coder Agreement for Computational Linguistics**Ron Artstein, Massimo Poesio*2008 · 1,770 citations*](https://md.research.elamur.ai/free/en/papers/artstein-2008-survey-article-inter-coder-agreement/)
2. [**Don't count, predict! A systematic comparison of context-counting vs. context-predicting semantic vectors**Marco Baroni, Georgiana Dinu, Germán Kruszewski*2014 · 1,678 citations*](https://md.research.elamur.ai/free/en/papers/baroni-2014-don-t-count-predict-systematic/)
3. [**A SICK cure for the evaluation of compositional distributional semantic models**Marco Marelli, Stefano Menini, Marco Baroni, et al.*2014 · 1,085 citations*](https://md.research.elamur.ai/free/en/papers/marelli-2014-sick-cure-evaluation-compositional-distributional/)
4. [**CoNLL-2012 Shared Task: Modeling Multilingual Unrestricted Coreference in OntoNotes**Sameer Pradhan, Alessandro Moschitti, Nianwen Xue, et al.*2012 · 1,064 citations*](https://md.research.elamur.ai/free/en/papers/pradhan-2012-conll-2012-shared-task-modeling/)
5. [**Distributional Memory: A General Framework for Corpus-Based Semantics**Marco Baroni, Alessandro Lenci*2010 · 879 citations*](https://md.research.elamur.ai/free/en/papers/baroni-2010-distributional-memory-general-framework-corpus/)
6. [**The CoNLL-2009 Shared Task: Syntactic and Semantic Dependencies in Multiple Languages**Jan Hajič, Massimiliano Ciaramita, Richard Johansson, et al.*2009 · 631 citations*](https://md.research.elamur.ai/free/en/papers/hajic-2009-conll-2009-shared-task-syntactic/)
7. [**SemEval-2014 Task 1: Evaluation of Compositional Distributional Semantic Models on Full Sentences through Semantic Relatedness and Textual Entailment**Marco Marelli, Luisa Bentivogli, Marco Baroni, et al.*2014 · 520 citations*](https://md.research.elamur.ai/free/en/papers/marelli-2014-semeval-2014-task-1-evaluation/)
8. [**The LAMBADA dataset: Word prediction requiring a broad discourse context**Denis Paperno, Germán Kruszewski, Angeliki Lazaridou, et al.*2016 · 506 citations*](https://md.research.elamur.ai/free/en/papers/paperno-2016-lambada-dataset-word-prediction-requiring/)
9. [**Distributional Semantics in Technicolor**Elia Bruni, Gemma Boleda, Marco Baroni, et al.*2012 · 459 citations*](https://md.research.elamur.ai/free/en/papers/bruni-2012-distributional-semantics-technicolor/)
10. [**How we BLESSed distributional semantic evaluation**Marco Baroni, Alessandro Lenci*2011 · 425 citations*](https://md.research.elamur.ai/free/en/papers/baroni-2011-how-we-blessed-distributional-semantic/)
11. [**Combining Language and Vision with a Multimodal Skip-gram Model**Angeliki Lazaridou, Nghia The Pham, Marco Baroni*2015 · 362 citations*](https://md.research.elamur.ai/free/en/papers/lazaridou-2015-combining-language-vision-multimodal-skip/)
12. [**Neural Unsupervised Domain Adaptation in NLP–-A Survey**Alan Ramponi, Barbara Plank*2020 · 334 citations*](https://md.research.elamur.ai/free/en/papers/ramponi-2020-neural-unsupervised-domain-adaptation-nlp/)
13. [**Entailment above the word level in distributional semantics**Marco Baroni, Raffaella Bernardi, Ngoc-Quynh Do, et al.*2012 · 318 citations*](https://md.research.elamur.ai/free/en/papers/baroni-2012-entailment-above-word-level-distributional/)
14. [**Gender Bias in Machine Translation**Beatrice Savoldi, Marco Gaido, Luisa Bentivogli, et al.*2021 · 310 citations*](https://md.research.elamur.ai/free/en/papers/savoldi-2021-gender-bias-machine-translation/)
15. [**Challenges and Strategies in Cross-Cultural NLP**Daniel Hershcovich, Stella Frank, Heather Lent, et al.*2022 · 290 citations*](https://md.research.elamur.ai/free/en/papers/hershcovich-2022-challenges-strategies-cross-cultural-nlp/)
16. [**A distributional similarity approach to the detection of semantic change in the Google Books Ngram corpus.**Kristina Gulordava, Marco Baroni*2011 · 240 citations*](https://md.research.elamur.ai/free/en/papers/gulordava-2011-distributional-similarity-approach-detection-semantic/)
17. [**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/)
18. [**CONAN - COunter NArratives through Nichesourcing: a Multilingual Dataset of Responses to Fight Online Hate Speech**Yi-Ling Chung, Elizaveta Kuzmenko, Serra Sinem Tekiroglu, et al.*2019 · 205 citations*](https://md.research.elamur.ai/free/en/papers/chung-2019-conan-counter-narratives-through-nichesourcing/)
19. [**Tree Kernels for Semantic Role Labeling**Alessandro Moschitti, Daniele Pighin, Roberto Basili*2008 · 202 citations*](https://md.research.elamur.ai/free/en/papers/moschitti-2008-tree-kernels-semantic-role-labeling/)
20. [**Anaphoric Annotation in the ARRAU Corpus**Massimo Poesio, Ron Artstein*2008 · 197 citations*](https://md.research.elamur.ai/free/en/papers/poesio-2008-anaphoric-annotation-arrau-corpus/)
21. [**BART: A Modular Toolkit for Coreference Resolution**Yannick Versley, Simone Paolo Ponzetto, Massimo Poesio, et al.*2008 · 197 citations*](https://md.research.elamur.ai/free/en/papers/versley-2008-bart-modular-toolkit-coreference-resolution/)
22. [**Massive Choice, Ample Tasks (MaChAmp): A Toolkit for Multi-task Learning in NLP**Rob van der Goot, Ahmet Üstün, Alan Ramponi, et al.*2021 · 177 citations*](https://md.research.elamur.ai/free/en/papers/goot-2021-massive-choice-ample-tasks-machamp/)
23. [**Multi-Domain Neural Machine Translation through Unsupervised Adaptation**M. Amin Farajian, Marco Turchi, Matteo Negri, et al.*2017 · 176 citations*](https://md.research.elamur.ai/free/en/papers/farajian-2017-multi-domain-neural-machine-translation/)
24. [**The Parallel Meaning Bank: Towards a Multilingual Corpus of Translations Annotated with Compositional Meaning Representations**Lasha Abzianidze, Johannes Bjerva, Kilian Evang, et al.*2017 · 134 citations*](https://md.research.elamur.ai/free/en/papers/abzianidze-2017-parallel-meaning-bank-multilingual-corpus/)
25. [**Annotation of Discourse Relations for Conversational Spoken Dialogs**Sara Tonelli, Giuseppe Riccardi, Rashmi Prasad, et al.*2010 · 122 citations*](https://md.research.elamur.ai/free/en/papers/tonelli-2010-annotation-discourse-relations-conversational-spoken/)
26. [**Encode, Tag, Realize: High-Precision Text Editing**Eric Malmi, Sebastian Krause, Sascha Rothe, et al.*2019 · 118 citations*](https://md.research.elamur.ai/free/en/papers/malmi-2019-encode-tag-realize-high-precision/)
27. [**A Cross-Lingual ILP Solution to Zero Anaphora Resolution**Ryu Iida, Massimo Poesio*2011 · 110 citations*](https://md.research.elamur.ai/free/en/papers/iida-2011-cross-lingual-ilp-solution-zero/)
28. [**Gender in Danger? Evaluating Speech Translation Technology on the MuST-SHE Corpus**Luisa Bentivogli, Beatrice Savoldi, Matteo Negri, et al.*2020 · 100 citations*](https://md.research.elamur.ai/free/en/papers/bentivogli-2020-gender-danger-evaluating-speech-translation/)
29. [**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/)
30. [**Anaphora Resolution with the ARRAU Corpus**Massimo Poesio, Yulia Grishina, Varada Kolhatkar, et al.*2018 · 81 citations*](https://md.research.elamur.ai/free/en/papers/poesio-2018-anaphora-resolution-arrau-corpus/)
31. [**Shallow Discourse Parsing with Conditional Random Fields**Sucheta Ghosh, Richard Johansson, Giuseppe Riccardi, et al.*2011 · 79 citations*](https://md.research.elamur.ai/free/en/papers/ghosh-2011-shallow-discourse-parsing-conditional-random/)
32. [**Annotating Spoken Dialogs: From Speech Segments to Dialog Acts and Frame Semantics**Marco Dinarelli, Silvia Quarteroni, Sara Tonelli, et al.*2009 · 75 citations*](https://md.research.elamur.ai/free/en/papers/dinarelli-2009-annotating-spoken-dialogs-speech-segments/)
33. [**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/)
34. [**MorphyNet: a Large Multilingual Database of Derivational and Inflectional Morphology**Khuyagbaatar Batsuren, Gabor Bella, Fausto Giunchiglia*2021 · 56 citations*](https://md.research.elamur.ai/free/en/papers/batsuren-2021-morphynet/)
35. [**Anaphoric Annotation of Wikipedia and Blogs in the Live Memories Corpus**Kepa Joseba Rodríguez, Francesca Delogu, Yannick Versley, et al.*2010 · 56 citations*](https://md.research.elamur.ai/free/en/papers/rodriguez-2010-anaphoric-annotation-wikipedia-blogs-live/)
36. [**BART: A Multilingual Anaphora Resolution System**Samuel Broscheit, Massimo Poesio, Simone Paolo Ponzetto, et al.*2010 · 55 citations*](https://md.research.elamur.ai/free/en/papers/broscheit-2010-bart-multilingual-anaphora-resolution-system/)
37. [**Coreference Systems Based on Kernels Methods**Yannick Versley, Alessandro Moschitti, Massimo Poesio, et al.*2008 · 43 citations*](https://md.research.elamur.ai/free/en/papers/versley-2008-coreference-systems-based-kernels-methods/)
38. [**Global Features for Shallow Discourse Parsing**Sucheta Ghosh, Giuseppe Riccardi, Richard Johansson*2012 · 26 citations*](https://md.research.elamur.ai/free/en/papers/ghosh-2012-global-features-shallow-discourse-parsing/)
39. [**The UniTN Discourse Parser in CoNLL 2015 Shared Task: Token-level Sequence Labeling with Argument-specific Models**Evgeny Stepanov, Giuseppe Riccardi, Ali Orkan Bayer*2015 · 25 citations*](https://md.research.elamur.ai/free/en/papers/stepanov-2015-unitn-discourse-parser-conll-2015/)
40. [**Creating a Coreference Resolution System for Italian**Massimo Poesio, Olga Uryupina, Yannick Versley*2010 · 23 citations*](https://md.research.elamur.ai/free/en/papers/poesio-2010-creating-coreference-resolution-system-italian/)
41. [**Transfer of Corpus-Specific Dialogue Act Annotation to ISO Standard: Is it worth it?**Shammur Absar Chowdhury, Evgeny Stepanov, Giuseppe Riccardi*2016 · 18 citations*](https://md.research.elamur.ai/free/en/papers/chowdhury-2016-transfer-corpus-specific-dialogue-act/)
42. [**Multi-metric optimization for coreference: The UniTN / IITP / Essex submission to the 2011 CONLL Shared Task**Olga Uryupina, Sriparna Saha, Asif Ekbal, et al.*2011 · 18 citations*](https://md.research.elamur.ai/free/en/papers/uryupina-2011-multi-metric-optimization-coreference-unitn/)
43. [**Comparative Evaluation of Argument Extraction Algorithms in Discourse Relation Parsing**Evgeny Stepanov, Giuseppe Riccardi*2013 · 17 citations*](https://md.research.elamur.ai/free/en/papers/stepanov-2013-comparative-evaluation-argument-extraction-algorithms/)
44. [**Domain-specific vs. Uniform Modeling for Coreference Resolution**Olga Uryupina, Massimo Poesio*2012 · 17 citations*](https://md.research.elamur.ai/free/en/papers/uryupina-2012-domain-specific-vs-uniform-modeling/)
45. [**Extending BART to Provide a Coreference Resolution System for German**Samuel Broscheit, Simone Paolo Ponzetto, Yannick Versley, et al.*2010 · 15 citations*](https://md.research.elamur.ai/free/en/papers/broscheit-2010-extending-bart-provide-coreference-resolution/)
46. [**Towards Cross-Domain PDTB-Style Discourse Parsing**Evgeny Stepanov, Giuseppe Riccardi*2014 · 15 citations*](https://md.research.elamur.ai/free/en/papers/stepanov-2014-cross-domain-pdtb-style-discourse/)
47. [**ARRAU: Linguistically-Motivated Annotation of Anaphoric Descriptions**Olga Uryupina, Ron Artstein, Antonella Bristot, et al.*2016 · 13 citations*](https://md.research.elamur.ai/free/en/papers/uryupina-2016-arrau-linguistically-motivated-annotation-anaphoric/)
48. [**UniTN End-to-End Discourse Parser for CoNLL 2016 Shared Task**Evgeny Stepanov, Giuseppe Riccardi*2016 · 11 citations*](https://md.research.elamur.ai/free/en/papers/stepanov-2016-unitn-end-end-discourse-parser/)
49. [**SemEval-2022 Task 3: PreTENS — Evaluating Neural Networks on Presuppositional Semantic Knowledge**Roberto Zamparelli, Shammur Chowdhury, Dominique Brunato, et al.*2022 · 8 citations*](https://md.research.elamur.ai/free/en/papers/zamparelli-2022-semeval-2022-task-3-pretens/)
50. [**FBK's Long-form SpeechLLMs for IWSLT 2026 Instruction Following**Zhihang Xie, Marco Gaido, Sara Papi, et al.*2026 · 1 citation*](https://md.research.elamur.ai/free/en/papers/xie-2026-fbk-s-long-form-speechllms/)
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