🧑‍🔬 Hongzhi Xu

🏛️ Affiliations

🎓Shanghai International Studies UniversityShanghai · China2020–2026 · 19 paperscurrent🎓Hong Kong Polytechnic UniversityHong Kong · Hong Kong2010–2018 · 15 papers🎓Tsinghua UniversityBeijing · China2007–2016 · 6 papers🎓University of PennsylvaniaPhiladelphia · United States2017–2020 · 4 papers🔬State Key Laboratory of Power System and Generation EquipmentBeijing2012–2016 · 3 papers🎓Jishou UniversityZhangjiajie · China2011–2017 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine.

🧭 Concepts, shelves and topics

Of its works in our library: the number of works on each and its rating among them.

📅 Works by year

2020s

2010s

📄 Papers

The most cited first (OpenAlex and our library).

1. LLT-PolyU: Identifying Sentiment Intensity in Ironic Tweets (2015 · 19 citations)
   The paper presents the LLT-PolyU entry to SemEval-2015 Task 11, which asks systems to predict a fine-grained sentiment intensity score for tweets that use figurative language: irony, sarcasm and metaphor.
2. Sentiment Analyzer with Rich Features for Ironic and Sarcastic Tweets (2015 · 3 citations)
   Tweets are hard to score for sentiment, and figurative language makes it harder because the literal wording often points the opposite way from the attitude the writer means.
3. Encoding Logical Relations of Chinese Complex Sentences within the Universal Dependencies Framework (2026)
   Clauses inside Chinese complex sentences stand in logical relations such as cause, concession or conjunction, which are often left unmarked by connectives and can nest hierarchically.

All works

4 works of theirs in our library, the most cited first; 3 with a page here, the others link their original until we summarise them.

1. LLT-PolyU: Identifying Sentiment Intensity in Ironic TweetsInternational Workshop on Semantic Evaluation (SemEval)Hongzhi Xu, Enrico Santus, Anna Laszlo, et al.2015 · 19 citations
2. How Grammatical Features Impact Machine Translation: A New Test Suite for Chinese-English MT EvaluationProceedings of the Ninth Conference on Machine Translation · original ↗ · no summary yetHuacheng Song et al.2024 · 3 citations
3. Sentiment Analyzer with Rich Features for Ironic and Sarcastic TweetsPacific Asia Conference on Language, Information and Computation (PACLIC)Piyoros Tungthamthiti, Enrico Santus, Hongzhi Xu, et al.2015 · 3 citations
4. Encoding Logical Relations of Chinese Complex Sentences within the Universal Dependencies FrameworkHongpu Zhu, Hongzhi XuMova's core list

🤝 Co-authors here

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

• Chu-Ren Huang ×2
• Enrico Santus ×2
• Kiyoaki Shirai
• Piyoros Tungthamthiti

Venues

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

• Language Resources and Evaluation Conference (LREC): LREC 2026
• Pacific Asia Conference on Language, Information and Computation (PACLIC): PACLIC 2015
• International Workshop on Semantic Evaluation (SemEval): SemEval 2015
• Proceedings of the Ninth Conference on Machine Translation

🔗 Cited by

Papers of our library cite their works 6 times (of the 141,840 papers whose bibliographies we read); 2 citing papers with a page here →.

Updated 24 October 2026

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