How to approach ambiguous queries in conversational search: A survey of techniques, approaches, tools, and challenges
K Keyvan, JX Huang - ACM Computing Surveys, 2022 - dl.acm.org
The advent of recent Natural Language Processing technology has led human and machine
interactions more toward conversation. In Conversational Search Systems (CSS) like …
interactions more toward conversation. In Conversational Search Systems (CSS) like …
Large language models for information retrieval: A survey
As a primary means of information acquisition, information retrieval (IR) systems, such as
search engines, have integrated themselves into our daily lives. These systems also serve …
search engines, have integrated themselves into our daily lives. These systems also serve …
A review: preprocessing techniques and data augmentation for sentiment analysis
In literature, the machine learning-based studies of sentiment analysis are usually
supervised learning which must have pre-labeled datasets to be large enough in certain …
supervised learning which must have pre-labeled datasets to be large enough in certain …
“Chatting with ChatGPT”: Analyzing the factors influencing users' intention to Use the Open AI's ChatGPT using the UTAUT model
D Menon, K Shilpa - Heliyon, 2023 - cell.com
Open AI's ChatGPT has emerged as a popular AI language model that can engage in
natural language conversations with users. Based on a qualitative research approach using …
natural language conversations with users. Based on a qualitative research approach using …
Simlm: Pre-training with representation bottleneck for dense passage retrieval
In this paper, we propose SimLM (Similarity matching with Language Model pre-training), a
simple yet effective pre-training method for dense passage retrieval. It employs a simple …
simple yet effective pre-training method for dense passage retrieval. It employs a simple …
Artificial intelligence in innovation: how to spot emerging trends and technologies
Firms apply strategic foresight in technology and innovation management to detect
discontinuous changes early, to assess their expected consequences, and to develop a …
discontinuous changes early, to assess their expected consequences, and to develop a …
Transformer models used for text-based question answering systems
The question answering system is frequently applied in the area of natural language
processing (NLP) because of the wide variety of applications. It consists of answering …
processing (NLP) because of the wide variety of applications. It consists of answering …
Mvp-tuning: Multi-view knowledge retrieval with prompt tuning for commonsense reasoning
Recent advances in pre-trained language models (PLMs) have facilitated the development
ofcommonsense reasoning tasks. However, existing methods rely on multi-hop …
ofcommonsense reasoning tasks. However, existing methods rely on multi-hop …
[HTML][HTML] A fuzzy ontology framework in information retrieval using semantic query expansion
Abstract World Wide Web (WWW) constitutes fuzzy information and requires soft computing
techniques to deal context of the query. It works on the principle of keyword matching …
techniques to deal context of the query. It works on the principle of keyword matching …
How to exploit the social Internet of Things: Query generation model and device profiles' dataset
Abstract The future Internet of Things (IoT) will be characterized by an increasing number of
object-to-object interactions for the implementation of distributed applications running in …
object-to-object interactions for the implementation of distributed applications running in …