Summary of Leveraging Discourse Structure For Extractive Meeting Summarization, by Virgile Rennard et al.
Leveraging Discourse Structure for Extractive Meeting Summarizationby Virgile Rennard, Guokan Shang, Michalis Vazirgiannis, Julie HunterFirst…
Leveraging Discourse Structure for Extractive Meeting Summarizationby Virgile Rennard, Guokan Shang, Michalis Vazirgiannis, Julie HunterFirst…
Facilitating Opinion Diversity through Hybrid NLP Approachesby Michiel van der MeerFirst submitted to arxiv on:…
Optimization Techniques for Sentiment Analysis Based on LLM (GPT-3)by Tong Zhan, Chenxi Shi, Yadong Shi,…
Comparing the Efficacy of GPT-4 and Chat-GPT in Mental Health Care: A Blind Assessment of…
Challenges and Opportunities of NLP for HR Applications: A Discussion Paperby Jochen L. Leidner, Mark…
Challenges and Opportunities in Text Generation Explainabilityby Kenza Amara, Rita Sevastjanova, Mennatallah El-AssadyFirst submitted to…
Opportunities for Persian Digital Humanities Research with Artificial Intelligence Language Models; Case Study: Forough Farrokhzadby…
UniDM: A Unified Framework for Data Manipulation with Large Language Modelsby Yichen Qian, Yongyi He,…
Enhanced Review Detection and Recognition: A Platform-Agnostic Approach with Application to Online Commerceby Priyabrata Karmakar,…
Natural Language Processing RELIES on Linguisticsby Juri Opitz, Shira Wein, Nathan SchneiderFirst submitted to arxiv…