--- title: "Nianwen Xue — papers and cards" description: "Nianwen Xue: 9 paper cards in the Research library (2009–2026), with what each paper is about, the ideas Mova took from it, and the co-authors." canonical: "https://research.elamur.ai/free/en/authors/nianwen-xue/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/nianwen-xue/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Nianwen Xue # Nianwen Xue 9 paper cards in the Research library · 2009–2026 Nianwen Xue wrote 9 of the papers Mova reads, in 2009–2026, most of them on [Machine translation](https://md.research.elamur.ai/free/en/topics/machine-translation/), [Coreference resolution](https://md.research.elamur.ai/free/en/topics/coreference-resolution/), [Discourse analysis](https://md.research.elamur.ai/free/en/topics/discourse-analysis/); often with [Jan Hajič](https://md.research.elamur.ai/free/en/authors/jan-hajic/), [Martha Palmer](https://md.research.elamur.ai/free/en/authors/martha-palmer/), [Sameer Pradhan](https://md.research.elamur.ai/free/en/authors/sameer-pradhan/). [OpenAlex](https://openalex.org/A5036715761) · [ORCID](https://orcid.org/0000-0002-4364-3618) · [**h-index 39**](https://openalex.org/authors/A5036715761) · [6528 citations](https://openalex.org/authors/A5036715761) · [179 works](https://openalex.org/works?filter=author.id:A5036715761) — openalex-snapshot, 2026-10-14 The profile is the library's match of the name; two people with one name are not always told apart. Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Nianwen+Xue) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Nianwen+Xue) · [dblp](https://dblp.org/search?q=Nianwen+Xue) · [ACL Anthology](https://aclanthology.org/search/?q=Nianwen+Xue) · [ORCID](https://orcid.org/orcid-search/search?searchQuery=Nianwen+Xue) Topics: [Machine translation](https://md.research.elamur.ai/free/en/topics/machine-translation/) 5 · [Coreference resolution](https://md.research.elamur.ai/free/en/topics/coreference-resolution/) 2 · [Discourse analysis](https://md.research.elamur.ai/free/en/topics/discourse-analysis/) 1 · [Treebanks](https://md.research.elamur.ai/free/en/topics/treebanks/) 1 · [Semantic role labeling](https://md.research.elamur.ai/free/en/topics/semantic-role-labeling/) 1 ## Papers 1. **[First Shared Task on UMR Parsing](https://md.research.elamur.ai/free/en/papers/tepanek-2026-first-shared-task-umr-parsing/)** *(2026)* The paper sets up the first shared task on UMR parsing. A system gets plain text and must return sentence-level graphs, the alignment of each node to tokens, and document-level relations such as coreference, temporal and modal links. Seven languages from four families take part: Indo-European, Sino-Tibetan, Na-Dene… 2. **[Mapping AMR to UMR: Resources for Adapting Existing Corpora for Cross-Lingual Compatibility](https://md.research.elamur.ai/free/en/papers/bonn-2023-mapping-amr-umr-resources-adapting/)** *(2023)* A reference paper that lists how AMR structures map onto UMR, the typologically motivated successor to AMR. 3. **[UMR Annotation of Multiword Expressions](https://md.research.elamur.ai/free/en/papers/bonn-2023-umr-annotation-multiword-expressions/)** *(2023)* This is a guideline paper. It runs no experiment and reports no counts. UMR, which is based on AMR, maps words to concepts. The authors define a multiword expression (MWE) operationally: several words that together form one concept. They sort MWEs into three groups. Fixed MWEs are unmodifiable word sequences, such as… 4. **[Translation Divergences in Chinese–English Machine Translation: An Empirical Investigation](https://md.research.elamur.ai/free/en/papers/deng-2017-translation-divergences-chinese-english-machine/)** *(2017)* The authors take about 10,000 Chinese–English sentence pairs that have manually built parse trees on both sides. 5. **[CoNLL 2016 Shared Task on Multilingual Shallow Discourse Parsing](https://md.research.elamur.ai/free/en/papers/xue-2016-conll-2016-shared-task-multilingual/)** *(2016)* The shared task asks systems to find shallow discourse relations in news text. Each relation has a connective (explicit, such as "because", or implicit, inserted between adjacent sentences), two argument spans (Arg1 and Arg2, defined semantically for Chinese) and a sense (for example Cause, Condition or Contrast).… 6. **[Not an Interlingua, But Close: Comparison of English AMRs to Chinese and Czech](https://md.research.elamur.ai/free/en/papers/xue-2014-not-interlingua-but-close-comparison/)** *(2014)* The authors take 100 English sentences that already have AMR graphs, translate them into Chinese and Czech, and write AMR graphs for the translations. 7. **[CoNLL-2012 Shared Task: Modeling Multilingual Unrestricted Coreference in OntoNotes](https://md.research.elamur.ai/free/en/papers/pradhan-2012-conll-2012-shared-task-modeling/)** *(2012)* The paper describes the CoNLL-2012 shared task: coreference in English, Chinese and Arabic on OntoNotes 5.0. 8. **[CoNLL-2011 Shared Task: Modeling Unrestricted Coreference in OntoNotes](https://md.research.elamur.ai/free/en/papers/pradhan-2011-conll-2011-shared-task-modeling/)** *(2011)* The paper describes the CoNLL-2011 shared task on general coreference in OntoNotes. OntoNotes links identical reference (IDENT) for pronouns, names and definite NPs, and for events, not only NPs or a fixed set of entity types. Appositives are tagged separately as attributes. Singletons are not annotated, so mention… 9. **[The CoNLL-2009 Shared Task: Syntactic and Semantic Dependencies in Multiple Languages](https://md.research.elamur.ai/free/en/papers/hajic-2009-conll-2009-shared-task-syntactic/)** *(2009)* This is the overview of the 2009 CoNLL shared task on joint syntactic dependency parsing and semantic role labelling. ## Co-authors (48) - [Jan Hajič](https://md.research.elamur.ai/free/en/authors/jan-hajic/) ×4 - [Martha Palmer](https://md.research.elamur.ai/free/en/authors/martha-palmer/) ×4 - [Sameer Pradhan](https://md.research.elamur.ai/free/en/authors/sameer-pradhan/) ×3 - [Zdenka Urešová](https://md.research.elamur.ai/free/en/authors/zdenka-uresova/) ×3 - [Alexis Palmer](https://md.research.elamur.ai/free/en/authors/alexis-palmer/) ×2 - [Andrew Cowell](https://md.research.elamur.ai/free/en/authors/andrew-cowell/) ×2 - [James Pustejovsky](https://md.research.elamur.ai/free/en/authors/james-pustejovsky/) ×2 - [Jan Štěpánek](https://md.research.elamur.ai/free/en/authors/jan-stepanek/) ×2 - [Jin Zhao](https://md.research.elamur.ai/free/en/authors/jin-zhao/) ×2 - [Julia Bonn](https://md.research.elamur.ai/free/en/authors/julia-bonn/) ×2 - [Adam Meyers](https://md.research.elamur.ai/free/en/authors/adam-meyers/) - Alessandro Moschitti - [Attapol Rutherford](https://md.research.elamur.ai/free/en/authors/attapol-rutherford/) - [Bonnie Webber](https://md.research.elamur.ai/free/en/authors/bonnie-webber/) - Chuan Wang - Daisuke Kawahara - [Daniel Zeman](https://md.research.elamur.ai/free/en/authors/daniel-zeman/) - Dun Deng - [Federica Gamba](https://md.research.elamur.ai/free/en/authors/federica-gamba/) - Haibo Sun - Hana Hledíková - [Hongmin Wang](https://md.research.elamur.ai/free/en/authors/hongmin-wang/) - [Hwee Tou Ng](https://md.research.elamur.ai/free/en/authors/hwee-tou-ng/) - [James H. Martin](https://md.research.elamur.ai/free/en/authors/james-h-martin/) - Jens E. L. Van Gysel - [Joakim Nivre](https://md.research.elamur.ai/free/en/authors/joakim-nivre/) - Lance Ramshaw - [Lluís Màrquez](https://md.research.elamur.ai/free/en/authors/lluis-marquez/) - Lukas Denk - Maria Antònia Martí - Marketa Lopatkova - [Massimiliano Ciaramita](https://md.research.elamur.ai/free/en/authors/massimiliano-ciaramita/) - Meagan Vigus - [Mihai Surdeanu](https://md.research.elamur.ai/free/en/authors/mihai-surdeanu/) - [Mitchell Marcus](https://md.research.elamur.ai/free/en/authors/mitchell-marcus/) - [Olga Uryupina](https://md.research.elamur.ai/free/en/authors/olga-uryupina/) - [Ondřej Bojar](https://md.research.elamur.ai/free/en/authors/ondrej-bojar/) - Pavel Straňák - [Ralph Weischedel](https://md.research.elamur.ai/free/en/authors/ralph-weischedel/) - [Richard Johansson](https://md.research.elamur.ai/free/en/authors/richard-johansson/) - Rosa Vallejos - [Sebastian Padó](https://md.research.elamur.ai/free/en/authors/sebastian-pado/) - [Shira Wein](https://md.research.elamur.ai/free/en/authors/shira-wein/) - [Skatje Myers](https://md.research.elamur.ai/free/en/authors/skatje-myers/) - [William Croft](https://md.research.elamur.ai/free/en/authors/william-croft/) - [Xiuhong Zhang](https://md.research.elamur.ai/free/en/authors/xiuhong-zhang/) - [Yi Zhang](https://md.research.elamur.ai/free/en/authors/yi-zhang/) - Yuchen Zhang ## More papers in the library (11) Pages of the Research library: our summary, the ideas, references and who cites each. - [A Joint Model for Dropped Pronoun Recovery and Conversational Discourse Parsing in Chinese Conversational Speech](https://md.research.elamur.ai/free/en/papers/yang-2021-joint-model-dropped-pronoun-recovery/) — Jingxuan Yang, Kerui Xu, Jun Xu, et al. · 2021 - [A Systematic Study of Neural Discourse Models for Implicit Discourse Relation](https://md.research.elamur.ai/free/en/papers/rutherford-2017-systematic-study-neural-discourse-models/) — Attapol Rutherford, Vera Demberg, Nianwen Xue · 2017 - [CAMR at SemEval-2016 Task 8: An Extended Transition-based AMR Parser](https://md.research.elamur.ai/free/en/papers/wang-2016-camr-semeval-2016-task-8/) — Chuan Wang, Sameer Pradhan, Xiaoman Pan, et al. · 2016 - [Robust Non-Explicit Neural Discourse Parser in English and Chinese](https://md.research.elamur.ai/free/en/papers/rutherford-2016-robust-non-explicit-neural-discourse/) — Attapol Rutherford, Nianwen Xue · 2016 - [Boosting Transition-based AMR Parsing with Refined Actions and Auxiliary Analyzers](https://md.research.elamur.ai/free/en/papers/wang-2015-boosting-transition-based-amr-parsing/) — Chuan Wang, Nianwen Xue, Sameer Pradhan · 2015 - [Improving the Inference of Implicit Discourse Relations via Classifying Explicit Discourse Connectives](https://md.research.elamur.ai/free/en/papers/rutherford-2015-improving-inference-implicit-discourse-relations/) — Attapol Rutherford, Nianwen Xue · 2015 - [The CoNLL-2015 Shared Task on Shallow Discourse Parsing](https://md.research.elamur.ai/free/en/papers/xue-2015-conll-2015-shared-task-shallow/) — Nianwen Xue, Hwee Tou Ng, Sameer Pradhan, et al. · 2015 - [Discovering Implicit Discourse Relations Through Brown Cluster Pair Representation and Coreference Patterns](https://md.research.elamur.ai/free/en/papers/rutherford-2014-discovering-implicit-discourse-relations-through/) — Attapol Rutherford, Nianwen Xue · 2014 - [OntoNotes: The 90% Solution](https://md.research.elamur.ai/free/en/papers/pradhan-2009-ontonotes-90-solution/) — Sameer S. Pradhan, Nianwen Xue · 2009 - [Annotating Discourse Connectives in the Chinese Treebank](https://md.research.elamur.ai/free/en/papers/xue-2005-annotating-discourse-connectives-chinese-treebank/) — Nianwen Xue · 2005 - [Chinese Word Segmentation as Character Tagging](https://md.research.elamur.ai/free/en/papers/xue-2003-chinese-word-segmentation-as-character/) — Nianwen Xue · 2003