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Awesome Law NLP Research Work, Paper, Competition, Onlline System

阿里云天池零基础入门NLP比赛_rank4选手比赛总结: https://tianchi.aliyun.com/competition/entrance/531810/introduction

Different approaches for different Classical Machine Learning, and NLP competitions from Kaggle.

The Summarizer from the Web IR / NLP Group (WING), hence SWING, is a modular, state-of-the-art automatic extractive text summarization system. It is used as the basis for summarization research at the National University of Singapore. It performs as one of the leading automatic summarization systems in the international TAC competition, getting high marks for the ROUGE evaluation measure

NLP中文预训练模型泛化能力挑战赛(https://tianchi.aliyun.com/competition/entrance/531841/introduction?spm=5176.12281957.1004.2.7a883eafYhYhOq)

A list of NLP competitions, including solutions.

Alibaba Cloud TIANCHI NLP Competition

Submission of an in-class NLP sentiment analysis competition held at Microsoft AI Singapore group. This submission entry explores the performance of both lexicon & machine-learning based models

Alibaba Cloud TIANCHI NLP Competition

This repository contains the 2nd place solution for the GIZ NLP word spotter competition organized by Zindi.

Solution to 6th place of audio classification competition (https://zindi.africa/competitions/giz-nlp-agricultural-keyword-spotter/leaderboard)

Competitions cover all popular topics, includes data mining, NLP, CV, recommender system etc. And competitions come from all main platform, includes Kaggle, Aliyun, BaiduAI etc. I might public the score or ranking achieved in these competitions.

Official Contribution for DeftEval 2020, Task 6 Subtask 1 from SemEval 2020 Competition. Solving NLP problem of "extracting term-definition pairs in free text" in multiple approaches ranging from highly simple till very complex modern ones.

Solutions for NLP-related competition

CommonLit Readability Prize 2021. NLP competition hosted at Kaggle: https://www.kaggle.com/c/commonlitreadabilityprize/. Rate the complexity of literary passages for grades 3-12 classroom use

The notebook on famous Kaggle competition : Spooky Author Identification. The task is to identify the authors from their respective texts or work. I have first cleaned and pre-processed the text using standard NLP techniques like tokenization , stemming or lemmatization , stop-word removal etc.... I have also tried to create some meta features or hand-crafted features based on the author writing pattern. Then I have used the traditional BOW approach with TFIDF Vectorizer and the Count Vectorizer and then deployed ML algos like LogisticRegression and Naive Bayes which are well suited for text data. For me tfidf on count vectorizer gave best results till now ; My submission scored a multi-class log loss of 0.46 on kaggle private LB which is quite decent.

Kaggle NLP competition：https://www.kaggle.com/c/spooky-author-identification

TechOlympics AI NLP competition hosted on Quera, where I ranked 50th out of 400 participants. The competition consisted of five challenging problems related to Natural Language Processing (NLP)

Simple colab notebooks that achieve high scores in NLP competitions

some nlp competition solutions in kaggle, tianchi, flyai, atec,daguan etc

AI-powered educational platform that uses speech recognition and NLP to recommend relevant videos based on teacher lectures. Helps students expand their knowledge with personalized learning resources. Top-10 @ 2021 TSA National Competition. 3x Hackathon Winner.

Winning team notebooks during TIL-AI Advanced Category Competition 2024 comprising Vision Language Models, NLP Question Answering and Speech to Text

This repository is a program about rumor detection ,which is a field of NLP, also Natural Language Processing ，the dataset of this program is originated from: https://www.datafountain.cn/competitions/422/datasets，We expect this program to be the Homework for the course which is named “The Basic Course of Information Security” ending,which is advised by Prof. Tie gang Gao, Nankai University.

Zindi nlp competition , ranked 4/429

Kaggle NLP competition - Top 2% solution (36/2060)

NLP course project. A solution to a Kaggle competition (https://www.kaggle.com/competitions/nbme-score-clinical-patient-notes/overview)

A platform that checks if similar products exist in the market and provides information on consumer acceptance. Users can filter positive and negative reviews and use NLP methods for deeper understanding. Helps new businesses study consumer reactions and existing businesses check out competition

Project for Kaggle competition on spotting cancer by NLP - coworking with Rafi Zonenashvili

End-to-end NLP pipeline for detecting factuality in AI-generated educational answers, built for the Data4Good 2025 competition (Purdue x Johns Hopkins x INFORMS).