Mave: A product dataset for multi-source attribute value extraction
Attribute value extraction refers to the task of identifying values of an attribute of interest from
product information. Product attribute values are essential in many e-commerce scenarios …
product information. Product attribute values are essential in many e-commerce scenarios …
Learning to extract attribute value from product via question answering: A multi-task approach
Attribute value extraction refers to the task of identifying values of an attribute of interest from
product information. It is an important research topic which has been widely studied in e …
product information. It is an important research topic which has been widely studied in e …
Transformer-based models for question answering on covid19
In response to the Kaggle's COVID-19 Open Research Dataset (CORD-19) challenge, we
have proposed three transformer-based question-answering systems using BERT, ALBERT …
have proposed three transformer-based question-answering systems using BERT, ALBERT …
Natural language processing in finance: A survey
This survey presents an in-depth review of the transformative role of Natural Language
Processing (NLP) in finance, highlighting its impact on ten major financial applications:(1) …
Processing (NLP) in finance, highlighting its impact on ten major financial applications:(1) …
PSYCHIC: A Neuro-Symbolic Framework for Knowledge Graph Question-Answering Grounding
HA Akl - arXiv preprint arXiv:2310.12638, 2023 - arxiv.org
The Scholarly Question Answering over Linked Data (Scholarly QALD) at The International
Semantic Web Conference (ISWC) 2023 challenge presents two sub-tasks to tackle …
Semantic Web Conference (ISWC) 2023 challenge presents two sub-tasks to tackle …
A seq2seq-based approach to question answering over knowledge bases
Semantic parsing, as an essential approach to question answering over knowledge bases
KBQA), transforms a question into query graphs for further generating logical queries …
KBQA), transforms a question into query graphs for further generating logical queries …
GISphere Knowledge Graph for Geography Education: Recommending Graduate Geographic Information System/Science Programs
The growing global interest in Geographic Information System/Science (GIS) programs has
led to an increased demand for higher education in this field. However, students often …
led to an increased demand for higher education in this field. However, students often …
Natural language processing based question answering techniques: A survey
A Arbaaeen, A Shah - 2020 IEEE 7th International Conference …, 2020 - ieeexplore.ieee.org
The rapid development in the field of information science and the increase in the usage of
information retrieval strategies have empowered users to retrieve more accurate information …
information retrieval strategies have empowered users to retrieve more accurate information …
A Question Answering Based Pipeline for Comprehensive Chinese EHR Information Extraction
Electronic health records (EHRs) hold significant value for research and applications. As a
new way of information extraction, question answering (QA) can extract more flexible …
new way of information extraction, question answering (QA) can extract more flexible …
Avadhan: System for open-domain telugu question answering
This paper presents the Question Answering (QA) system for a low resource language
like'Telugu'named'AVADHAN'. This work started with preparing a pre-tagged data set for …
like'Telugu'named'AVADHAN'. This work started with preparing a pre-tagged data set for …