143 citations · 150 across the 6 of their papers we have counts for
7 papers
Revisiting Word Embeddings in the LLM Era
Yash Mahajan, Matthew Freestone, Sathyanarayanan Aakur +1
Large Language Models (LLMs) have recently shown remarkable advancement in various NLP tasks. As such, a popular trend has emerged lately where NLP researchers extract word/sentenc…
Joint Upper & Lower Bound Normalization for IR Evaluation
Shubhra Kanti Karmaker Santu, Dongji Feng
In this paper, we present a novel perspective towards IR evaluation by proposing a new family of evaluation metrics where the existing popular metrics (e.g., nDCG, MAP) are customi…
Multi-Narrative Semantic Overlap Task: Evaluation and Benchmark
Naman Bansal, Mousumi Akter, Shubhra Kanti Karmaker Santu
In this paper, we introduce an important yet relatively unexplored NLP task called Multi-Narrative Semantic Overlap (MNSO), which entails generating a Semantic Overlap of multiple…
Towards Automated Sexual Violence Report Tracking
Naeemul Hassan, Amrit Poudel, Jason Hale +4
Tracking sexual violence is a challenging task. In this paper, we present a supervised learning-based automated sexual violence report tracking model that is more scalable, and rel…
MLFriend: Interactive Prediction Task Recommendation for Event-Driven Time-Series Data
Lei Xu, Shubhra Kanti Karmaker Santu, Kalyan Veeramachaneni
Most automation in machine learning focuses on model selection and hyper parameter tuning, and many overlook the challenge of automatically defining predictive tasks. We still heav…
On Application of Learning to Rank for E-Commerce Search
Shubhra Kanti Karmaker Santu, Parikshit Sondhi, ChengXiang Zhai
E-Commerce (E-Com) search is an emerging important new application of information retrieval. Learning to Rank (LETOR) is a general effective strategy for optimizing search engines,…