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Xiaochang Peng

Xiaochang Peng has 2 papers in our library, in 2017–2019, most of them on Machine translation, Text generation, Semantic parsing & meaning representation; often with Brian Roark, Daniel Gildea, Felix Stahlberg.

2 papers in our library · 2017–2019

OpenAlex · h-index 11 · 19 works · 539 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 214 times in our library · 5 more in our library without a page yet · ⭐ Paper Stars ranking: #5479

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

🎓University of RochesterRochester · United States2015–2019 · 9 papers🏢MetaMenlo Park · United States2019–2022 · 4 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 2 more institutions on single bylines are not listed.

 Fields, topics and concepts

Of its works in our library, with the number of works on each.

📚 Shelves 4The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksArts and Humanities · 2 worksComputer Science · 2 worksLanguage and Linguistics · 2 works

🧭 Topics 3Research subjects and languages the work is about.Machine translation · 1 workSemantic parsing & meaning representation · 1 workText generation · 1 work

 Works by year

2010s

20191 paper20171 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Neural Models of Text Normalization for Speech Applications (2019 · 115 citations)
    Text normalization for speech converts written forms such as digits, dates, times and measure expressions into the words a text-to-speech (TTS) engine should say.
  2. AMR-to-text Generation with Synchronous Node Replacement Grammar (2017 · 109 citations)
    The paper generates sentences directly from the AMR graph, without first making a spanning tree, so that no information is lost in the graph-to-tree step.

All works

7 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

  1. A Synchronous Hyperedge Replacement Grammar based approach for AMR parsing ↗Proceedings of the Nineteenth Conference on Computational Natural Language Learning · no summary yetXiaochang Peng, Linfeng Song, Daniel Gildea2015 · 139 citations
  2. Addressing the Data Sparsity Issue in Neural AMR Parsing ↗Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers · no summary yetXiaochang Peng et al.2017 · 120 citations
  3. Neural Models of Text Normalization for Speech ApplicationsComputational LinguisticsHao Zhang, Richard Sproat, Axel H. Ng, et al.2019 · 115 citations
  4. AMR-to-text Generation with Synchronous Node Replacement GrammarLinfeng Song, Xiaochang Peng, Yue Zhang, et al.Machine translation · 109 citations
  5. Exploring Deep Multimodal Fusion of Text and Photo for Hate Speech Classification ↗Proceedings of the Third Workshop on Abusive Language Online · no summary yetFan Yang et al.2019 · 106 citations
  6. AMR-to-text generation as a Traveling Salesman Problem ↗Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing · no summary yetLinfeng Song et al.2016 · 48 citations
  7. UofR at SemEval-2016 Task 8: Learning Synchronous Hyperedge Replacement Grammar for AMR Parsing ↗Proceedings of the 10th International Workshop on Semantic Evaluation (SemEval-2016) · no summary yetXiaochang Peng, Daniel Gildea2016 · 22 citations

 Co-authors here

9 co-authors with a page, the most papers together first.

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

 Cited by

Papers of our library cite their works 214 times (of the 149,439 papers whose bibliographies we read); 33 citing papers with a page here →.

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