--- title: "Aram Galstyan — papers and cards" description: "Aram Galstyan: 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/aram-galstyan/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/aram-galstyan/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Aram Galstyan # Aram Galstyan 2 paper cards in the Research library · 2022–2023 Aram Galstyan wrote 2 of the papers Mova reads, in 2022–2023, most of them on [Machine translation](https://md.research.elamur.ai/free/en/topics/machine-translation/); often with [Anoop Kumar](https://md.research.elamur.ai/free/en/authors/anoop-kumar/), [Kai-Wei Chang](https://md.research.elamur.ai/free/en/authors/kai-wei-chang/), [Kuan-Hao Huang](https://md.research.elamur.ai/free/en/authors/kuan-hao-huang/). [OpenAlex](https://openalex.org/A5101715504) · [ORCID](https://orcid.org/0000-0003-4215-0886) · [**h-index 41**](https://openalex.org/authors/A5101715504) · [11532 citations](https://openalex.org/authors/A5101715504) · [297 works](https://openalex.org/works?filter=author.id:A5101715504) — 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=Aram+Galstyan) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Aram+Galstyan) · [dblp](https://dblp.org/search?q=Aram+Galstyan) · [ACL Anthology](https://aclanthology.org/search/?q=Aram+Galstyan) · [ORCID](https://orcid.org/orcid-search/search?searchQuery=Aram+Galstyan) Topics: [Machine translation](https://md.research.elamur.ai/free/en/topics/machine-translation/) 2 ## 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 - [Kai-Wei Chang](https://md.research.elamur.ai/free/en/authors/kai-wei-chang/) ×2 - [Kuan-Hao Huang](https://md.research.elamur.ai/free/en/authors/kuan-hao-huang/) ×2 - [Varun Iyer](https://md.research.elamur.ai/free/en/authors/varun-iyer/) ×2 - I-Hung Hsu - Sriram Venkatapathy ## More papers in the library (2) Pages of the Research library: our summary, the ideas, references and who cites each. - [SWAN: Semantic Watermarking with Abstract Meaning Representation](https://md.research.elamur.ai/free/en/papers/ye-2026-swan-semantic-watermarking-abstract-meaning/) — Ziping Ye, Gourab Dey, Christos Christodoulopoulos, et al. · 2026 - [A Survey on Bias and Fairness in Machine Learning](https://md.research.elamur.ai/free/en/papers/mehrabi-2019-survey-bias-fairness-machine-learning/) — Ninareh Mehrabi, Fred Morstatter, Nripsuta Saxena, et al. · 2019