--- title: "Amir Pouran Ben Veyseh — papers and cards" description: "Amir Pouran Ben Veyseh: 2 paper cards in the Research library (2019–2021), with what each paper is about, the ideas Mova took from it, and the co-authors." canonical: "https://research.elamur.ai/free/en/authors/amir-pouran-ben-veyseh/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/amir-pouran-ben-veyseh/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Amir Pouran Ben Veyseh # Amir Pouran Ben Veyseh 2 paper cards in the Research library · 2019–2021 Amir Pouran Ben Veyseh wrote 2 of the papers Mova reads, in 2019–2021, most of them on [Treebanks](https://md.research.elamur.ai/free/en/topics/treebanks/); often with [Thien Huu Nguyen](https://md.research.elamur.ai/free/en/authors/thien-huu-nguyen/), Dejing Dou, Minh Van Nguyen. [OpenAlex](https://openalex.org/A5027729448) · [ORCID](https://orcid.org/0000-0002-6826-8113) · [**h-index 17**](https://openalex.org/authors/A5027729448) · [2336 citations](https://openalex.org/authors/A5027729448) · [45 works](https://openalex.org/works?filter=author.id:A5027729448) — 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=Amir+Pouran+Ben+Veyseh) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Amir+Pouran+Ben+Veyseh) · [dblp](https://dblp.org/search?q=Amir+Pouran+Ben+Veyseh) · [ACL Anthology](https://aclanthology.org/search/?q=Amir+Pouran+Ben+Veyseh) · [ORCID](https://orcid.org/orcid-search/search?searchQuery=Amir+Pouran+Ben+Veyseh) Topics: [Treebanks](https://md.research.elamur.ai/free/en/topics/treebanks/) 1 ## Papers 1. **[Trankit: A Light-Weight Transformer-based Toolkit for Multilingual Natural Language Processing](https://md.research.elamur.ai/free/en/papers/ud-2021-nguyen-trankit-light-weight-transformer-based/)** *(2021)* Trankit is a toolkit for many languages built on one shared XLM-RoBERTa encoder, with small language-specific adapters plugged into each layer, so that each language or task changes only its adapter and its output layers. 2. **[Graph based Neural Networks for Event Factuality Prediction using Syntactic and Semantic Structures](https://md.research.elamur.ai/free/en/papers/veyseh-2019-graph-based-neural-networks-event/)** *(2019)* Event factuality prediction gives a real score in [−3, +3] for an event mention. Cue words that set the factuality can be far from the event word in the sentence, and a dependency tree can reach them while a sequential model can weigh them by meaning. The model has three parts: BERT and two BiLSTM layers for the… ## Co-authors (4) - [Thien Huu Nguyen](https://md.research.elamur.ai/free/en/authors/thien-huu-nguyen/) ×2 - Dejing Dou - Minh Van Nguyen - Viet Dac Lai ## More papers in the library (2) Pages of the Research library: our summary, the ideas, references and who cites each. - [ChatGPT Beyond English: Towards a Comprehensive Evaluation of Large Language Models in Multilingual Learning](https://md.research.elamur.ai/free/en/papers/lai-2023-chatgpt-beyond-english-comprehensive-evaluation/) — Viet Dac Lai, Nghia Ngo, Amir Pouran Ben Veyseh, et al. · 2023 - [Recent Advances in Natural Language Processing via Large Pre-Trained Language Models: A Survey](https://md.research.elamur.ai/free/en/papers/min-2021-recent-advances-natural-language-processing/) — Bonan Min, Hayley Ross, Elior Sulem, et al. · 2021