--- title: "Kuan-Hao Huang — papers and cards" description: "Kuan-Hao Huang: 2 paper cards in the Research library (2022–2023), with what each paper is about, the ideas Mova took from it, and the co-authors." canonical: "https://research.elamur.ai/free/en/authors/kuan-hao-huang/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/kuan-hao-huang/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Kuan-Hao Huang # Kuan-Hao Huang 2 paper cards in the Research library · 2022–2023 Kuan-Hao Huang wrote 2 of the papers Mova reads, in 2022–2023, most of them on [Semantic parsing & meaning representation](https://md.research.elamur.ai/free/en/topics/semantic-parsing/), [Text generation](https://md.research.elamur.ai/free/en/topics/text-generation/); often with [Anoop Kumar](https://md.research.elamur.ai/free/en/authors/anoop-kumar/), [Aram Galstyan](https://md.research.elamur.ai/free/en/authors/aram-galstyan/), [Kai-Wei Chang](https://md.research.elamur.ai/free/en/authors/kai-wei-chang/). [OpenAlex](https://openalex.org/A5048297682) · [ORCID](https://orcid.org/0000-0002-1634-9237) · [**h-index 14**](https://openalex.org/authors/A5048297682) · [692 citations](https://openalex.org/authors/A5048297682) · [55 works](https://openalex.org/works?filter=author.id:A5048297682) — 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=Kuan-Hao+Huang) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Kuan-Hao+Huang) · [dblp](https://dblp.org/search?q=Kuan-Hao+Huang) · [ACL Anthology](https://aclanthology.org/search/?q=Kuan-Hao+Huang) · [ORCID](https://orcid.org/orcid-search/search?searchQuery=Kuan-Hao+Huang) Topics: [Semantic parsing & meaning representation](https://md.research.elamur.ai/free/en/topics/semantic-parsing/) 2 · [Text generation](https://md.research.elamur.ai/free/en/topics/text-generation/) 1 ## Papers 1. **[ParaAMR: A Large-Scale Syntactically Diverse Paraphrase Dataset by AMR Back-Translation](https://md.research.elamur.ai/free/en/papers/huang-2023-paraamr-large-scale-syntactically-diverse/)** *(2023)* ParaAMR builds about 15 million paraphrase pairs by AMR back-translation. Each source sentence is parsed to an AMR graph; a different node is chosen as the focus (the main assertion); the modified graph is linearised and a sentence is generated from it. Candidates with high perplexity under a language model are… 2. **[Unsupervised Syntactically Controlled Paraphrase Generation with Abstract Meaning Representations](https://md.research.elamur.ai/free/en/papers/huang-2022-unsupervised-syntactically-controlled-paraphrase-generation/)** *(2022)* AMRPG generates a paraphrase that follows a requested syntactic form without any paraphrase pairs. It encodes the input twice: an AMR graph gives a semantic embedding, and the constituency parse gives a syntactic embedding. A decoder learns to reconstruct the input from the two. At test time the syntactic embedding… ## Co-authors (6) - [Anoop Kumar](https://md.research.elamur.ai/free/en/authors/anoop-kumar/) ×2 - [Aram Galstyan](https://md.research.elamur.ai/free/en/authors/aram-galstyan/) ×2 - [Kai-Wei Chang](https://md.research.elamur.ai/free/en/authors/kai-wei-chang/) ×2 - [Varun Iyer](https://md.research.elamur.ai/free/en/authors/varun-iyer/) ×2 - I-Hung Hsu - Sriram Venkatapathy ## More papers in the library (1) Pages of the Research library: our summary, the ideas, references and who cites each. - [DEGREE: A Data-Efficient Generation-Based Event Extraction Model](https://md.research.elamur.ai/free/en/papers/hsu-2022-degree-data-efficient-generation-based/) — I-Hung Hsu, Kuan-Hao Huang, Elizabeth Boschee, et al. · 2022 · 227 citations