Nikos Papasarantopoulos
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Senior Data Scientist in Priceline, working on Maching Learning and NLP. I have experience in natural language processing, machine learning, web development, and teaching.

In the past, I have worked on NLP and machine learning research and engineering, in Huawei UK R&D Edinburgh Research Centre, and Institute for Language and Speech Processing, RC "Athena".

I completed a PhD in the EdinburghNLP group of the School of Informatics, University of Edinburgh, working within the the cohort NLP lab and being supervised by Shay Cohen. My PhD research focused on multimodal applications and multi-view representation learning.

I am also an aspiring musician and I am very curious about computational musicology!

You can view a full resume here.



Pavlos Vougiouklis, Nikos Papasarantopoulos, Danna Zheng, David Tuckey, Chenxin Diao, Zhili Shen and Jeff Pan
FastRAT: Fast and Efficient Cross-lingual Text-to-SQL Semantic Parsing AACL 2023
Tianyi Li, Wenyu Huang, Nikos Papasarantopoulos, Pavlos Vougiouklis, and Jeff Z. Pan
Retrieval Augmented Generation with Rich Answer Encoding AACL 2023
Tianyi Li, Wenyu Huang, Nikos Papasarantopoulos, Pavlos Vougiouklis, and Jeff Z. Pan
Task-specific Pre-training and Prompt Decomposition for Knowledge Graph Population with Language Models In arXiv, 2208.12539 (preprint)
Georgios Stoilos, Nikos Papasarantopoulos, Pavlos Vougiouklis, and Patrik Bansky
Type Linking for Query Understanding and Semantic Search KDD Applied Data Science Track 2022
Nikos Papasarantopoulos and Shay B. Cohen
Narration Generation for Cartoon Videos In arXiv, 2101.06803 (preprint)
Nikos Papasarantopoulos, Lea Frermann, Mirella Lapata and Shay B. Cohen
Partners in Crime: Multi-view Sequential Inference for Movie Understanding EMNLP-IJCNLP 2019
Shashi Narayan, Ronald Cardenas, Nikos Papasarantopoulos, Shay B. Cohen, Mirella Lapata, Jiangsheng Yu and Yi Chang
Document Modeling with External Attention for Sentence Extraction. In ACL 2018
Nikos Papasarantopoulos, Helen Jiang, and Shay B. Cohen
Canonical Correlation Inference for Mapping Abstract Scenes to Text. In AAAI 2018
Shashi Narayan, Nikos Papasarantopoulos, Shay B. Cohen, and Mirella Lapata
Neural Extractive Summarization with Side Information. In arXiv, 1704.04530 (preprint)
Renars Liepins et al.
The SUMMA Platform Prototype. In EACL 2017 (demo track)
Konstantina Papanikolaou, Haris Papageorgiou, Nikos Papasarantopoulos, Theoni Stathopoulou, and George Papastefanatos
Just the facts with PALOMAR: Detecting protest events in media outlets and Twitter. In Social Media in the Newsroom (SMnews 2016), ICWSM, 2016
Nikos Papasarantopoulos, Nick Poulakis, and Christina Anagnostopoulou
A computational analysis of children's songs from different countries. In ESCOM (European Society for the Cognitive Sciences of Music), 2015
Georgios Stratogiannis, Nikos Papasarantopoulos, Maria Pontiki, Giorgos Siolas, Dimitris Galanis, Andreas Stafylopatis and Haris Papageorgiou
NTUA ILSP in the TAC KBP 2014 Entity Linking Challenge. In TAC (Text Analysis Conference), 2014


nikos [dot] papasa [at] gmail [dot] com