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Question answering survey: Directions, challenges, datasets, evaluation matrices
HA Pandya, BS Bhatt - arxiv preprint arxiv:2112.03572, 2021 - arxiv.org
The usage and amount of information available on the internet increase over the past
decade. This digitization leads to the need for automated answering system to extract fruitful …
decade. This digitization leads to the need for automated answering system to extract fruitful …
A survey on chat-bot system for agriculture domain
Chat-Bot system is a part of natural language processing, where it requires system to be
trained as per the human language, so that it can satisfy the needs of the user. Agriculture …
trained as per the human language, so that it can satisfy the needs of the user. Agriculture …
GrapeQA: Graph augmentation and pruning to enhance question-answering
Commonsense question-answering (QA) methods combine the power of pre-trained
Language Models (LM) with the reasoning provided by Knowledge Graphs (KG). A typical …
Language Models (LM) with the reasoning provided by Knowledge Graphs (KG). A typical …
Question classification on question-answer system using bidirectional-LSTM
The first step in the question-answer system is question analysis. This step was carried out
with various processes, one of them was question classification. The question classification …
with various processes, one of them was question classification. The question classification …
MOLI: Smart conversation agent for mobile customer service
Human agents in technical customer support provide users with instructional answers to
solve a task that would otherwise require a lot of time, money, energy, physical costs …
solve a task that would otherwise require a lot of time, money, energy, physical costs …
FactQA: question answering over domain knowledge graph based on two-level query expansion
X Zhang, M Meng, X Sun, Y Bai - Data Technologies and Applications, 2020 - emerald.com
Purpose With the advent of the era of Big Data, the scale of knowledge graph (KG) in various
domains is growing rapidly, which holds huge amount of knowledge surely benefiting the …
domains is growing rapidly, which holds huge amount of knowledge surely benefiting the …
Agriculture Chatbot (AGRIBOT) using natural language processing
C Chathurya, D Sachdeva… - 2023 14th International …, 2023 - ieeexplore.ieee.org
Agri-bot is a text-to-text chatbot which will help the farmers in answering the queries posed
by them, in text form. Through text-to-text communication, farmers can interact with the …
by them, in text form. Through text-to-text communication, farmers can interact with the …
Perturbation-based Active Learning for Question Answering
Building a question answering (QA) model with less annotation costs can be achieved by
utilizing active learning (AL) training strategy. It selects the most informative unlabeled …
utilizing active learning (AL) training strategy. It selects the most informative unlabeled …
Question answering system for agriculture domain using machine learning techniques: literature survey and challenges
Natural language processing (NLP) is a part of artificial intelligence and computer science.
Question answering system that provides an interaction between computers and human …
Question answering system that provides an interaction between computers and human …
An analysis of question answering system for education empowered by crowdsourcing
TA Gautre, TH Khan - … on Inventive Systems and Control (ICISC …, 2018 - ieeexplore.ieee.org
In today's world scenario, individual or organization needs sourcing model that facilitates
and fulfillment services that are in demand. Modern search engines have created dramatic …
and fulfillment services that are in demand. Modern search engines have created dramatic …