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 …

[HTML][HTML] Opportunities and challenges of text mining in materials research

O Kononova, T He, H Huo, A Trewartha, EA Olivetti… - Iscience, 2021‏ - cell.com
Research publications are the major repository of scientific knowledge. However, their
unstructured and highly heterogenous format creates a significant obstacle to large-scale …

[HTML][HTML] Bridging technology and pedagogy from a global lens: Teachers' perspectives on integrating ChatGPT in English language teaching

MH Al-khresheh - Computers and Education: Artificial Intelligence, 2024‏ - Elsevier
Abstract The rise of Artificial Intelligence in educational contexts has sparked both
excitement and trepidation, highlighting the urgent need to investigate its implications …

Machine learning and deep learning

C Janiesch, P Zschech, K Heinrich - Electronic markets, 2021‏ - Springer
Today, intelligent systems that offer artificial intelligence capabilities often rely on machine
learning. Machine learning describes the capacity of systems to learn from problem-specific …

Parade: Passage representation aggregation fordocument reranking

C Li, A Yates, S MacAvaney, B He, Y Sun - ACM Transactions on …, 2023‏ - dl.acm.org
Pre-trained transformer models, such as BERT and T5, have shown to be highly effective at
ad hoc passage and document ranking. Due to the inherent sequence length limits of these …

Beyond word embeddings: A survey

F Incitti, F Urli, L Snidaro - Information Fusion, 2023‏ - Elsevier
The goal of this paper is to provide an overview of the methods that allow text
representations with a focus on embeddings for text of different lengths, specifically on works …

DOMFN: A divergence-orientated multi-modal fusion network for resume assessment

Y Yang, J Zhang, F Gao, X Gao, H Zhu - Proceedings of the 30th ACM …, 2022‏ - dl.acm.org
In talent management, resume assessment aims to analyze the quality of a job seeker's
resume, which can assist recruiters to discover suitable candidates and benefit job seekers …

Temporal inductive path neural network for temporal knowledge graph reasoning

H Dong, P Wang, M **ao, Z Ning, P Wang, Y Zhou - Artificial Intelligence, 2024‏ - Elsevier
Abstract Temporal Knowledge Graph (TKG) is an extension of traditional Knowledge Graph
(KG) that incorporates the dimension of time. Reasoning on TKGs is a crucial task that aims …

FinBERT–MRC: financial named entity recognition using BERT under the machine reading comprehension paradigm

Y Zhang, H Zhang - Neural Processing Letters, 2023‏ - Springer
Financial named entity recognition (FinNER) is a challenging task in the field of financial text
information extraction, which aims to extract a large amount of financial knowledge from …

D→ k→ i: Data-knowledge-driven group intelligence framework for smart service in education metaverse

W Zheng, L Yan, W Zhang, L Ouyang… - IEEE Transactions on …, 2022‏ - ieeexplore.ieee.org
Metaverse is the fusion of cyber–physical–social intelligence, and the fusion becomes the
core and fundamental property of the metaverse. As an important part of social …