Feng Yunlong

Harbin, China ยท ylfeng@ir.hit.edu.cn

Hi there ๐Ÿ‘‹ I'm Yunlong Feng. A PhD student in Harbin Institute of Technology.

Stat Top-Langs

Certifications

Socialization

skills

Languages, Operating Systems & Tools

Cplusplus Rust Java Python git linux bash javascript

Platform Development & Administration

NGINX MySQL Slurm

Data Management

MySQL/MariaDB Sqlite

Architecture

IP Networking DNS Firewalls Load Balancing Microservices RESTful APIs

Containers & Cloud

Docker Aliyun

projects

A collection of projects authored by ylfeng, and likely shared out with the community as an open source project.

An open-source neural language technology platform supporting six fundamental Chinese NLP tasks:

  • lexical analysis (Chinese word segmentation, part-of-speech tagging, and named entity recognition)
  • syntactic parsing (dependency parsing)
  • semantic parsing (semantic dependency parsing and semantic role labeling)

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An RSS reader running entirely from your GitHub repo.

  • Free hosting on GitHub Pages. No ads. No third party tracking.
  • No need for backend. Content updates via GitHub Actions.
  • Customizable layouts and styles via templating and theming API. Just bring your HTML and CSS.
  • Free and open source. No third-party tracking.

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Wait! There's more..

opensource

A collection of efforts to which I contributed, but did not create. Contributing back to Open Source projects is a strong passion of mine, and requires a considerate approach to learn norms, standards and approach for each community for a successful merge!

๐Ÿค— The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools

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publications

A collection of articles, presentations or talks, most likely on NLP

An open-source neural language technology platform supporting six fundamental Chinese NLP tasks:

  • lexical analysis (Chinese word segmentation, part-of-speech tagging, and named entity recognition)
  • syntactic parsing (dependency parsing)
  • semantic parsing (semantic dependency parsing and semantic role labeling)

Read More

This paper describes our submission system (HIT-SCIR) for the CoNLL 2020 shared task: Cross-Framework and Cross-Lingual Meaning Representation Parsing.
Our solution consists of two sub-systems:

  • transition-based parser for Flavor (1) frameworks (UCCA, EDS, PTG)
  • and iterative inference parser for Flavor (2) frameworks (DRG, AMR)
In the final evaluation, our system is ranked 3rd among the seven team both in Cross-Framework Track and Cross-Lingual Track, with the macro-averaged MRP F1 score of 0.81/0.69.

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experience

Yunfutech

Developmet a collections of nlp tools

HIT Web Intellegence Lab

Implemented English part and management Tool of WI IME

education

Computer Science and Technology

Linear algebra, Multivariable calculus, Algorithm
Bachelor of Engineering

Computer Science and Technology

Natural language processing
Master of Engineering & PhD