Results 11 to 20 of about 12,045,326 (363)
GoLLIE: Annotation Guidelines improve Zero-Shot Information-Extraction [PDF]
International Conference on Learning Representations, 2023 Large Language Models (LLMs) combined with instruction tuning have made significant progress when generalizing to unseen tasks. However, they have been less successful in Information Extraction (IE), lagging behind task-specific models.
Oscar Sainz +5 more
semanticscholar +1 more source
Universal Information Extraction as Unified Semantic Matching [PDF]
AAAI Conference on Artificial Intelligence, 2023 The challenge of information extraction (IE) lies in the diversity of label schemas and the heterogeneity of structures. Traditional methods require task-specific model design and rely heavily on expensive supervision, making them difficult to generalize
Jie Lou +7 more
semanticscholar +1 more source
WebFormer: The Web-page Transformer for Structure Information Extraction [PDF]
The Web Conference, 2022 Structure information extraction refers to the task of extracting structured text fields from web pages, such as extracting a product offer from a shopping page including product title, description, brand and price.
Qifan Wang +5 more
semanticscholar +1 more source
MatSciBERT: A materials domain language model for text mining and information extraction [PDF]
npj Computational Materials, 2021 A large amount of materials science knowledge is generated and stored as text published in peer-reviewed scientific literature. While recent developments in natural language processing, such as Bidirectional Encoder Representations from Transformers ...
Tanishq Gupta +3 more
semanticscholar +1 more source
Weight Annotation in Information Extraction [PDF]
Logical Methods in Computer Science, 2022 The framework of document spanners abstracts the task of information extraction from text as a function that maps every document (a string) into a relation over the document's spans (intervals identified by their start and end indices). For instance, the regular spanners are the closure under the Relational Algebra (RA) of the regular expressions with ...
Doleschal, Johannes +3 more
openaire +8 more sources
The study of the lining layer abrasing wear in the semi-autogenous grinding mill [PDF]
E3S Web of Conferences, 2020 In this work complex investigations of the abrasing wear of lining of self-grinding mills (semiautogenous grinding mills) are carried out with the obtaining of mathematical models of wear-abrasing of elevators in terms of height, weight, volume and worn ...
Sokur Mykola +4 more
doaj +1 more source
Towards Robust Visual Information Extraction in Real World: New Dataset and Novel Solution [PDF]
AAAI Conference on Artificial Intelligence, 2021 Visual Information Extraction (VIE) has attracted considerable attention recently owing to its various advanced applications such as document understanding, automatic marking and intelligent education.
Jiapeng Wang +8 more
semanticscholar +1 more source
Learning from Noisy Labels for Entity-Centric Information Extraction [PDF]
Conference on Empirical Methods in Natural Language Processing, 2021 Recent information extraction approaches have relied on training deep neural models. However, such models can easily overfit noisy labels and suffer from performance degradation. While it is very costly to filter noisy labels in large learning resources,
Wenxuan Zhou, Muhao Chen
semanticscholar +1 more source
A low sidelobe 77 GHz centre‐fed microstrip patch array antenna
IET Microwaves, Antennas & Propagation, 2023 A low sidelobe 77 GHz centre‐fed microstrip patch array antenna is proposed for automotive radar application. The proposed antenna comprises eight linear antenna arrays, each of which is centre‐fed by a coplanar waveguide with ground transmission line at
Qian Chen +7 more
doaj +1 more source
Text-to-Table: A New Way of Information Extraction [PDF]
Annual Meeting of the Association for Computational Linguistics, 2021 We study a new problem setting of information extraction (IE), referred to as text-to-table. In text-to-table, given a text, one creates a table or several tables expressing the main content of the text, while the model is learned from text-table pair ...
Xueqing Wu, Jiacheng Zhang, Hang Li
semanticscholar +1 more source