activity
20162025
most citedSentiment Identification in Code-Mixed Social Media Text

36 citations · 45 across the 6 of their papers we have counts for

collaborators

7 papers

cs.CE2025

Preference Learning from Physics-Based Feedback: Tuning Language Models to Design BCC/B2 Superalloys

Satanu Ghosh, Collin Holgate, Neal R. Brodnik +4

We apply preference learning to the task of language model-guided design of novel structural alloys. In contrast to prior work that focuses on generating stable inorganic crystals,…

cs.CL2024★ 4 cited

Toward Reliable Ad-hoc Scientific Information Extraction: A Case Study on Two Materials Datasets

Satanu Ghosh, Neal R. Brodnik, Carolina Frey +4

We explore the ability of GPT-4 to perform ad-hoc schema based information extraction from scientific literature. We assess specifically whether it can, with a basic prompting appr…

cs.HC2023

Toward Connecting Speech Acts and Search Actions in Conversational Search Tasks

Souvick Ghosh, Satanu Ghosh, Chirag Shah

Conversational search systems can improve user experience in digital libraries by facilitating a natural and intuitive way to interact with library content. However, most conversat…

cs.IR2019

Exploring the Ideal Depth of Neural Network when Predicting Question Deletion on Community Question Answering

Souvick Ghosh, Satanu Ghosh

In recent years, Community Question Answering (CQA) has emerged as a popular platform for knowledge curation and archival. An interesting aspect of question answering is that it co…

cs.CL2017★ 36 cited

Sentiment Identification in Code-Mixed Social Media Text

Souvick Ghosh, Satanu Ghosh, Dipankar Das

Sentiment analysis is the Natural Language Processing (NLP) task dealing with the detection and classification of sentiments in texts. While some tasks deal with identifying the pr…

cs.CL2017

Complexity Metric for Code-Mixed Social Media Text

Souvick Ghosh, Satanu Ghosh, Dipankar Das

An evaluation metric is an absolute necessity for measuring the performance of any system and complexity of any data. In this paper, we have discussed how to determine the level of…

cs.IR2016★ 5 cited

Labeling of Query Words using Conditional Random Field

Satanu Ghosh, Souvick Ghosh, Dipankar Das

This paper describes our approach on Query Word Labeling as an attempt in the shared task on Mixed Script Information Retrieval at Forum for Information Retrieval Evaluation (FIRE)…