About
I'm Hosein Rezaei, a third year PhD student at the University of York.
My research area is Natural Language Processing (NLP) in general and
Grounded Language Learning in particular.
I have been also a web developer since 2013. But start of my journey with computer and programming
dates back to 2004 or so.
The art of photographer in putting the crowd behind trees! Guess the well-smelling place and get an Amazon gift card! :)
In the world of NLP:
I am interested mostly in Grounded Language Learning. An approach to semantics in which "meaning" of a word is considered as a form of agreement between speakers of that language on how to use that word. This is in contrast with GOFAI approaches to semantics where meaning of a word comes from an expert-curated lexicon like Wordnet. It is also in a fundamental contrast with Distributional approaches to semantics where meaning of a word comes from the collections of words accompanying it.
When people start to use a word for a new meaning (imagine the early days people started to use the word "google" as a verb), a chat bot equipped with Grounded Language Learning will be able to learn that meaning via interaction without requireing us to train it on huge amounts of text. With such a long-term goal, I'm interested in studying and developing this capability in Large Language Models(LLMs). In my current project we put LLMs as agents into text-based games, and study if and how they can learn language via grounding it in action and perception.
Resume
Summary
Blockchain developer
2021 - 2022
RedAcre, Remote
- Development of web services to provide cryptographic operations such as signing and publishing transactions for downstream blockchain applications.
- Contributing to several cryptographic libraries written with Rust to improve their functionality with regard to threshold signature scheme (TSS) using HD on the curves Secp256k1 and Curve25519 to support various cryptocoins that use ECDSA and EdDSA.
- Developing a fiat payment gateway in a microservice structure to support seamless integration with various payment service providers.
Education
Master of Science & Computer Engineering, Software
2016 - 2018
Isfahan University of Technology, Iran
GPA 16.42 out of 20. Best scores in Data Mining, Text mining, and Statistical Pattern Recognition courses. Six projects are done, one in Databases, one for Word Sense Disambiguation (WSD), and others for Text summarization.
Bachelor of Science & Computer Science
2004 - 2011
Payam-e Noor University of Shahreza, Isfahan, Iran
GPA 14.12 out of 20. Best scores in Data Structures and Algorithms, Algorithm Design and Analysis, General Mathemeatics, Linear Algebra, and Theory of Computattion.
Part-time distant education, simultaneous with serveral part-time jobs. It was a hell of time really!
Professional Experience
Research Collaborator
July 2017 - December 2017
IT Center of Isfahan University of Technology, Iran
- R&D about data integration from various resources of the university into a central data warehouse for facilitating reporting and data analysis for high-level decision-makers.
- R&D about automatic software and hardware inventory, to help IT managers in the center having an updated, overall, and yet detailed view of the latest software and hardware in use all over the university.
- Worked with: Pentaho Business Analysis platform, PostgreSQL, OCSInventory, Drupal, etc.
Research collaborator
2016 - 2017
NLP Institute of Shahid Beheshti University, Tehran, Iran
Senior Web Developer
2013 - 2016 & 2018 - 2021
Partotech.com, Isfahan, Iran
- Development of several enterprise web applications in the brand-monitoring business. Our mission was to extract text, image, video, etc from web, social networks (e.g. Telegram, Twitter, and Instagram), TV signals, and newspapers and to inform our customers as immediately as possible whenever any content related to them are published.
- Maintenance of Khabarfarsi.com -- the first of its kind news search engine(just for Persian so far)-- and its backend projects including web crawler, news storage, and image storage. The latter is implemented by me from ground up.
Publications
Large Language Models
Interactive Text Games: Lookahead Is All You Need! Introducing three variations of LLMs that predict not only the next immidiate token but also the second, third, ... up to K future tokens. Read more
Text Classification
Improving performance by incorporating structural information of the texts using Graph Neural Networks (GNNs) and graph representations like AMR.
Extractive Text Summarization
Features in extractive supervised single-document summarization: case of Persian news.View on LREV
Word Embeddings
Word Embeddings Are Capable of Capturing Rhythmic Similarity of Words. View on Arxiv
Contact
Location:
Department of Computer Science
University of York
York, YO10 5GH
United Kingdom
Call:
+44 777 763 4222
+98 938 300 4107
Email:
[email protected]