mehwishfatimah Goto Github PK
Name: Mehwish FATIMA
Type: User
Company: Heidelberg Institute for Theoretical Studies
Bio: Data & NLP Scientist
Location: Germany
Name: Mehwish FATIMA
Type: User
Company: Heidelberg Institute for Theoretical Studies
Bio: Data & NLP Scientist
Location: Germany
Abstractive summarisation using Bert as encoder and Transformer Decoder
Implementation of stylometery and content based methods using weka
BERT score for text generation
Tool for visualizing attention in the Transformer model (BERT, GPT-2, Albert, XLNet, RoBERTa, CTRL, etc.)
bi-LSTM TAG Supertagging
Modelling discourse coherence with RST structures.
Zero-Shot Cross-Lingual Abstractive Sentence Summarization through Teaching Generation and Attention
Generating Sentences from Disentangled Syntactic and Semantic Spaces
Code for ACL 2019 paper: "Searching for Effective Neural Extractive Summarization: What Works and What's Next"
MoverScore: Text Generation Evaluating with Contextualized Embeddings and Earth Mover Distance
This is the official code for the paper 'Do We Really Need That Many Parameters In Transformer For Extractive Summarization? Discourse Can Help !' (CODI at EMNLP 2020)
This is the official code for Extractive Summarization of Long Documents by Combining Global and Local Context
Calculating ROUGE score between two files (line-by-line)
Finetune GPT2 for text summarization
This is a modification of HipoRank.
Resources for the NAACL 2018 paper "A Discourse-Aware Attention Model for Abstractive Summarization of Long Documents"
Large-scale multi-document summarization dataset and code
I've always been interested in Neural Style Algorithms, these are my implementations of the same.
NeuroSAT: Learning a SAT Solver from Single-Bit Supervision
Code for my senior thesis on natural language paraphrasing.
Pointer Generator Network-- Highly modified code (Pytorch)
code for EMNLP 2019 paper Text Summarization with Pretrained Encoders
The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.
PyTorch1.x tutorials, examples and some books I found 【不定期更新中】整理的PyTorch 1.x 最新版教程、例子和书籍
Code and data accompanying Natural Language Processing with PyTorch published by O'Reilly Media https://nlproc.info
This is the official code for the paper 'Systematically Exploring Redundancy Reduction inSummarizing Long Documents'.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.