Zahed Rahmati

BERT-DRE: BERT with Deep Recursive Encoder for Natural Language Sentence\n Matching

2021 · arXiv (Cornell University)

This paper presents a deep neural architecture, for Natural Language Sentence\nMatching (NLSM) by adding a deep recursive encoder to BERT so called BERT with\nDeep Recursive Encoder (BERT-DRE). Our analysis of model behavior shows that\nBERT still …

Relational Graph Convolutional Networks for Sentiment Analysis

2024 · arXiv (Cornell University)

With the growth of textual data across online platforms, sentiment analysis has become crucial for extracting insights from user-generated content. While traditional approaches and deep learning models have shown promise, they cannot often capture complex …