Treeback

The wait is over! After a very exciting competition throughout this past year, the results for the 2024 Startups of the Year, North America are here!

Startups of The Year 2024 Winners: North America

Meet the Education pioneers who are making knowledge more accessible in the Startups of The Year 2024 awards.

Startups of The Year 2024 Winners: Education

Check out the Startup of The Year 2024 winners in the Emerging Tech industry!

Startups of The Year 2024 Winners: Emerging Tech

ZKBase is a high-performance ZK-Rollup that enhances transaction processing capability and provides a cost-effective network experience.

Technical Analysis on ZKBase: A High-Performance ZK-Rollup for Scalable and Secure ETH Transactions

Dive into the complexities of parsing Terraform variable types and transforming them into JSON schemas in this article. 

Parsing Terraform for Forms: Transforming Variable Types into JSON Schema for Frontend Apps

How it can give us something we hitherforto though cobblers: a computer-you-can-ask-anything! 

Natural Language Inference and NLP

Back in Sept 2016, just when Angular team bit the bullet and <a href="http://angularjs.blogspot.in/2016/09/angular2-final.html" target="_blank">released Angular2 Final</a>, I was able to convince my customer to use Angular2 for it’s one of bigger applications.

Best-practices learnt from delivering a quality Angular4 application

Stanford's TreeHacks is the Glastonbury of them all, drawing the brightest minds and wildest ideas from Silicon Valley and around the world.

Charting New Horizons: Exploring AI Innovation at TreeHacks 2024

TnT-LLM automates text mining, enabling efficient taxonomy generation, LLM-augmented classification, and democratized access to text insights

TnT-LLM: Democratizing Text Mining with Automated Taxonomy and Scalable Classification

Learn how dimension reduction improves text classification by optimizing feature clustering using scatter matrices. 

A Mathematical Overview of Dimension Reduction in Text Classification

This study leverages statistical parsing and syntactic structures from the Penn Treebank to refine authorship detection using the Stanford Parser.

Can AI Tell Who Wrote Something Just by Analyzing Grammar?

Researchers in Poland have developed an open-source tool that improves the evaluation and comparison of AI used in natural language preprocessing.

New Open-Source Platform Is Letting AI Researchers Crack Tough Languages

Researchers Pit GPT-3.5 Against Classic Language Tools in Polish Text Analysis

Researchers Create Plug-and-Play System to Test Language AI Across the Globe

New Framework Simplifies Comparison of Language Processing Tools Across Multiple Languages

This study proposes a set of carefully curated linguistic features for shallow machine learning methods and compares their performance with deep language models

Comparison of Machine Learning Methods: Discussion and Qualitative Analysis

This project aims to create a data-driven ESG evaluation system that can provide better guidance and more systemized scores by incorporating social sentiment.

Creating a Systematic ESG Scoring System: Methods

In this study, researchers exploit rich, naturally-occurring structures on Wikipedia for various NLP tasks.

Learning Discourse-Aware Sentence Representations from Document Structures

In this study, researchers disentangle latent representations using naturally-occurring structures of paired data.

Disentangling Semantics and Syntax in Sentence Representations

In this study, researchers describe three lines of work that seek to improve the training and evaluation of neural models using naturally-occurring supervision.

Leveraging Natural Supervision: Appendix A - Appendix to Chapter 3

Enhance sentiment analysis accuracy and interpretability with a role-flipping multi-LLM negotiation method. 

Enhance Sentiment Analysis with Role-Flipping Multi-LLM Negotiation

This paper presents a scheme for annotating coreference across news articles, extending beyond traditional identity relations.

Code Book for Annotation of Diverse Cross-Document Coreference: Conclusion and Future Work

Sentiment Analysis through LLM Negotiations: Conclusion and References

Analyzing codemixed Hindi-English memes: Memotion 3 paper presents AI sentiment, emotion, and intensity detection methods.

Overview of Memotion 3: Sentiment & Emotion
Analysis of Codemixed Hinglish - Conclusion

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We are a Brazilian startup focused on reforesting the Amazon. Born in Rorai...

TREEBACK

https://treeback.eco.br

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Treeback's stories on HackerNoon

Startups of The Year 2024 Winners: North America

Startups of The Year 2024 Winners: Education

Startups of The Year 2024 Winners: Emerging Tech

Technical Analysis on ZKBase: A High-Performance ZK-Rollup for Scalable and Secure ETH Transactions

Parsing Terraform for Forms: Transforming Variable Types into JSON Schema for Frontend Apps

Natural Language Inference and NLP

Best-practices learnt from delivering a quality Angular4 application

Charting New Horizons: Exploring AI Innovation at TreeHacks 2024

TnT-LLM: Democratizing Text Mining with Automated Taxonomy and Scalable Classification

A Mathematical Overview of Dimension Reduction in Text Classification

Can AI Tell Who Wrote Something Just by Analyzing Grammar?

New Open-Source Platform Is Letting AI Researchers Crack Tough Languages

Researchers Pit GPT-3.5 Against Classic Language Tools in Polish Text Analysis

Researchers Create Plug-and-Play System to Test Language AI Across the Globe

New Framework Simplifies Comparison of Language Processing Tools Across Multiple Languages

Comparison of Machine Learning Methods: Discussion and Qualitative Analysis

Creating a Systematic ESG Scoring System: Methods

Learning Discourse-Aware Sentence Representations from Document Structures

Disentangling Semantics and Syntax in Sentence Representations

Leveraging Natural Supervision: Appendix A - Appendix to Chapter 3

Enhance Sentiment Analysis with Role-Flipping Multi-LLM Negotiation

Code Book for Annotation of Diverse Cross-Document Coreference: Conclusion and Future Work

Sentiment Analysis through LLM Negotiations: Conclusion and References

Overview of Memotion 3: Sentiment & Emotion Analysis of Codemixed Hinglish - Conclusion

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