Scale: Scaling up the complexity for advanced language model evaluation
Recent strides in Large Language Models (LLMs) have saturated many NLP benchmarks
(even professional domain-specific ones), emphasizing the need for novel, more …
(even professional domain-specific ones), emphasizing the need for novel, more …
A novel methodology for retrieving infographics utilizing structure and message content
Abstract Information graphics (infographics) in popular media are highly structured
knowledge representations that are generally designed to convey an intended message …
knowledge representations that are generally designed to convey an intended message …
Detecting domain-specific information needs in conversational search dialogues
As conversational search becomes more pervasive, it becomes increasingly important to
understand the user's underlying needs when they converse with such systems in diverse …
understand the user's underlying needs when they converse with such systems in diverse …
Query expansion with neural question-to-answer translation for FAQ-based question answering
A Otsuka, K Nishida, K Bessho, H Asano… - … Proceedings of the The …, 2018 - dl.acm.org
We propose a novel Frequently Asked Question (FAQ) retrieval technique with a neural
query expansion model. With the growth in Question Answering systems and mobile …
query expansion model. With the growth in Question Answering systems and mobile …
SMS based FAQ retrieval for Hindi, English and Malayalam
AD Shaikh, RR Shah, R Shaikh - Proceedings of the 4th and 5th Annual …, 2013 - dl.acm.org
This paper presents our approach for the SMS-based FAQ Retrieval monolingual task in
FIRE 2012 and FIRE 2013. Current approach predicts the matching of an SMS and FAQs …
FIRE 2012 and FIRE 2013. Current approach predicts the matching of an SMS and FAQs …
Generate a list of stop words in Moroccan dialect from social network data using word embedding
Natural Language Processing (NLP) is a branch of artificial intelligence AI that helps
computers understand, interpret and manipulate human language. NLP draws from many …
computers understand, interpret and manipulate human language. NLP draws from many …
Improving the Classification of Sentiments Towards Covid-19 Vaccines using Semantic Enrichment and Emojis
KJ Ntwaagae, E Thuma… - … Conference on Next …, 2024 - ieeexplore.ieee.org
In this study we investigate different strategies for enriching tweets (now posts) to improve
tweets classification accuracy. In particular, we investigate the effects of emoji-to-text …
tweets classification accuracy. In particular, we investigate the effects of emoji-to-text …
Extending Koshur Stopwords List using Threshold-based Approach
P Sagar, JR Saini - 2024 5th International Conference on Smart …, 2024 - ieeexplore.ieee.org
The Kashmiri language, known as 'Koshur by its native speakers is written in three different
scripts: Sharda, Perso-Arabic, and Kashmiri-Devanagari. Stopwords removal is an essential …
scripts: Sharda, Perso-Arabic, and Kashmiri-Devanagari. Stopwords removal is an essential …
Smart automated grading system using machine learning algorithm for short answers questions
An automated grading system was developed in this work to help teachers quickly grade
multiple assignments at the same time, with fewer efforts, and especially with the Pandemic …
multiple assignments at the same time, with fewer efforts, and especially with the Pandemic …
Detecting missing content queries in an sms-based hiv/aids faq retrieval system
Abstract Automated Frequently Asked Question (FAQ) answering systems use pre-stored
sets of question-answer pairs as an information source to answer natural language …
sets of question-answer pairs as an information source to answer natural language …