A Survey on Conversational Search and Applications in Biomedicine
- URL: http://arxiv.org/abs/2211.15328v1
- Date: Mon, 28 Nov 2022 14:08:53 GMT
- Title: A Survey on Conversational Search and Applications in Biomedicine
- Abstract summary: We predominantly focused on the human interactive characteristics of the ConvSearch systems.
We labeled various ConvSearch research problems in knowledge bases, natural language processing, and dialogue management systems.
The application is directed toward biomedical and healthcare fields for the utilization of clinical social technology.
- Score: 0.25782420501870296
- License: http://creativecommons.org/licenses/by/4.0/
- Abstract: This paper aims to provide a radical rundown on Conversation Search
(ConvSearch), an approach to enhance the information retrieval method where
users engage in a dialogue for the information-seeking tasks. In this survey,
we predominantly focused on the human interactive characteristics of the
ConvSearch systems, highlighting the operations of the action modules, likely
the Retrieval system, Question-Answering, and Recommender system. We labeled
various ConvSearch research problems in knowledge bases, natural language
processing, and dialogue management systems along with the action modules. We
further categorized the framework to ConvSearch and the application is directed
toward biomedical and healthcare fields for the utilization of clinical social
technology. Finally, we conclude by talking through the challenges and issues
of ConvSearch, particularly in Bio-Medicine. Our main aim is to provide an
integrated and unified vision of the ConvSearch components from different
fields, which benefit the information-seeking process in healthcare systems.
Related papers
- A Survey of Conversational Search [44.09402706387407]
We explore the recent advancements and potential future directions in conversational search.
We highlight the integration of large language models (LLMs) in enhancing these systems.
We provide insights into real-world applications and robust evaluations of current conversational search systems.
arXiv Detail & Related papers (2024-10-21T01:54:46Z) - Engineering Conversational Search Systems: A Review of Applications, Architectures, and Functional Components [4.262342157729123]
This study investigates the links between theoretical studies and technical implementations of conversational search systems.
We present a layered architecture framework and explain the core functions of conversational search systems.
We reflect on our findings in light of the rapid progress in large language models, discussing their capabilities, limitations, and directions for future research.
arXiv Detail & Related papers (2024-07-01T06:24:11Z) - SurveyAgent: A Conversational System for Personalized and Efficient Research Survey [50.04283471107001]
This paper introduces SurveyAgent, a novel conversational system designed to provide personalized and efficient research survey assistance to researchers.
SurveyAgent integrates three key modules: Knowledge Management for organizing papers, Recommendation for discovering relevant literature, and Query Answering for engaging with content on a deeper level.
Our evaluation demonstrates SurveyAgent's effectiveness in streamlining research activities, showcasing its capability to facilitate how researchers interact with scientific literature.
arXiv Detail & Related papers (2024-04-09T15:01:51Z) - Social Commonsense-Guided Search Query Generation for Open-Domain
Knowledge-Powered Conversations [66.16863141262506]
We present a novel approach that focuses on generating internet search queries guided by social commonsense.
Our proposed framework addresses passive user interactions by integrating topic tracking, commonsense response generation and instruction-driven query generation.
arXiv Detail & Related papers (2023-10-22T16:14:56Z) - A Survey on Proactive Dialogue Systems: Problems, Methods, and Prospects [100.75759050696355]
We provide a comprehensive overview of the prominent problems and advanced designs for conversational agent's proactivity in different types of dialogues.
We discuss challenges that meet the real-world application needs but require a greater research focus in the future.
arXiv Detail & Related papers (2023-05-04T11:38:49Z) - FCC: Fusing Conversation History and Candidate Provenance for Contextual
Response Ranking in Dialogue Systems [53.89014188309486]
We present a flexible neural framework that can integrate contextual information from multiple channels.
We evaluate our model on the MSDialog dataset widely used for evaluating conversational response ranking tasks.
arXiv Detail & Related papers (2023-03-31T23:58:28Z) - Investigating Conversational Search Behavior For Domain Exploration [0.5512295869673147]
This study investigates open-ended search behavior for navigation through unknown information landscapes.
We apply statistical analyses and process mining techniques to uncover general information-seeking patterns across five different domains.
arXiv Detail & Related papers (2023-01-10T17:43:03Z) - A Benchmark for Automatic Medical Consultation System: Frameworks, Tasks
and Datasets [70.32630628211803]
We propose two frameworks to support automatic medical consultation, namely doctor-patient dialogue understanding and task-oriented interaction.
A new large medical dialogue dataset with multi-level fine-grained annotations is introduced.
We report a set of benchmark results for each task, which shows the usability of the dataset and sets a baseline for future studies.
arXiv Detail & Related papers (2022-04-19T16:43:21Z) - Software-Based Dialogue Systems: Survey, Taxonomy and Challenges [4.2763155274587366]
This paper reports a survey of the current state of research of conversational agents through a systematic literature review of secondary studies.
As a result, this research proposes a holistic taxonomy of the different dimensions involved in the conversational agents' field.
arXiv Detail & Related papers (2021-06-21T07:41:44Z) - A New Neural Search and Insights Platform for Navigating and Organizing
AI Research [56.65232007953311]
We introduce a new platform, AI Research Navigator, that combines classical keyword search with neural retrieval to discover and organize relevant literature.
We give an overview of the overall architecture of the system and of the components for document analysis, question answering, search, analytics, expert search, and recommendations.
arXiv Detail & Related papers (2020-10-30T19:12:25Z) - Conversational Search for Learning Technologies [2.3846478553599098]
We discuss the implication of such cooperation with the learning perspective from both user and system side.
We also focus on the stimulation of learning through a key component of conversational search, namely the multimodality of communication way.
arXiv Detail & Related papers (2020-01-09T10:35:27Z)
This list is automatically generated from the titles and abstracts of the papers in this site.
This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.