0% Complete
فارسی
Home
/
یازدهمین کنفرانس بین المللی فناوری اطلاعات و دانش
Open-domain question classification and completion in conversational information search
Authors :
Omid Mohammadi Kia
1
Mahmood Neshati
2
Mahsa Soudi Alamdari
3
1- دانشگاه شهید بهشتی
2- دانشگاه شهید بهشتی
3- دانشگاه تهران
Keywords :
information retrieval, conversational search, classification
Abstract :
Searching for new information requires talking to the system. In this research, an Open-domain Conversational information search system has been developed. This system has been implemented using the TREC CAsT 2019 track, which is one of the first attempts to build a framework in this area. According to the user's previous questions, the system firstly completes the question (using the first and the previous question in each turn) and then classifies it (based on the question words). This system extracts the related answers according to the rules of each question. In this research, a simple yet effective method with high performance has been used, which on average, extracts 20% more relevant results than the baseline.
Papers List
List of archived papers
استخراج موارد آزمون سطح برونمتد و درونکلاس از برنامههای شئگرا
محمد قرشی - حسن حقیقی
Design and Simulation of a New Multiplexer with Energy Analysis in Quantum Cellular Automata Technology
- - -
Enhancing Software Effort Estimation with an Integrated Approach of Particle Swarm Optimization and Genetic Algorithms in Analogy-based Method
Ehsan Nasr - Keyvan Mohebbi
Open-domain question classification and completion in conversational information search
Omid Mohammadi Kia - Mahmood Neshati - Mahsa Soudi Alamdari
Real-Time EEG-Based Analysis Of Stress-Inducing Stimuli
Mohsen Mahmoudi - Fattaneh Taghiyareh - Yasamin Akhavein - Elnaz Ghorbani
SecVanet: provably secure authentication protocol for sending emergency events in VANET
Seyed Amir Mousavi - Mohammad Sadeq Sirjani - Seyyed Javad Bozorg zadeh Razavi - Morteza Nikooghadam
بهبود کارایی بارسپاری در شبکه های سلولی با استفاده از ارتباطات مشارکتی در لایه MAC
نبیل الراشدی - رسول صادقی - وائل حسین اللامی - مهدی حمیدخانی
Ensemble Model Based on an Improved Convolutional Neural Network with a Domain-agnostic Data Augmentation Technique
Faraz Fatahnaie - Armin Azhdehnia - Seyyed Amir Asghari - Mohammadreza Binesh Marvasti
A Hybrid Method to Reduce the Voltage Consumption in the Spiking Neural Networks
Shaghayegh Mehdizadeh saraj - Seyyed Amir Asghari - Mohammadreza Binesh Marvasti
An Improved Image Classification Based In Feature Extraction From Convolutional Neural Network: Application To Flower Classification
Faeze Sadati - Dr Behrooz Rezaie
more
Samin Hamayesh - Version 41.3.1