Kim-Anh Nguyen

Kim-Anh Nguyen
PhD Student

Kim-Anh Nguyen
Phone +49 711 685-81338
University of Stuttgart
Institute of Natural Language Processing (IMS)
Pfaffenwaldring 5B
70569 Stuttgart

I am a PhD student in Distributional Approaches to Semantic Relatedness group headed by PD Dr. Sabine Schulte im Walde; and I am doing collaborative research with group of Junior Professorship Computational Linguistics headed by Jun.-Prof. Dr. Ngoc Thang Vu. My research interests are in the areas of lexical-semantic phenomena, especially in Antonymy and Synonymy. At the moment, I would like to apply my research to both of English and Vietnamese. 


Since April 2015: PhD Student in the project Distributional Approaches to Semantic Relatedness.



1. Kim Anh Nguyen, Sabine Schulte im Walde and Ngoc Thang Vu. Distinguishing Antonyms and Synonyms in a Pattern-based Neural Network. In: Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics (EACL). Valencia, Spain, April 2017. [pdf][code][dataset]


1. Kim Anh Nguyen, Sabine Schulte im Walde and Ngoc Thang Vu. Integrating Distributional Lexical Contrast into Word Embeddings for Antonym-Synonym Distinction. In Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (ACL). Berlin, Germany, August 2016. Outstanding paper award. [pdf][slides][code][data][bib]

2. Kim Anh Nguyen, Sabine Schulte im Walde and Ngoc Thang Vu. Neural-based Noise Filtering from Word Embeddings. In Proceedings of the 26th International Conference on Computational Linguistics (COLING). Osaka, Japan, December 2016. [pdf][poster][code]

Curriculum Vitae


    B.Sc in Information Technology

    Hanoi Pedagogical University II

    Jun - 2013

    M.Sc in Computer Science (International Standard Program)

    University of Engineering and Technology, VNU - Hanoi

    Thesis (in English): Vietnamese Word Clustering and Antonym Identification

    Since Apr - 2015

    PhD Student in Computational Linguistics

    University of Stuttgart

    Thesis: Representing and Distinguishing Semantic Relations by Hierarchical Graphs