A metaverse: Taxonomy, components, applications, and open challenges
SM Park, YG Kim - IEEE access, 2022 - ieeexplore.ieee.org
Unlike previous studies on the Metaverse based on Second Life, the current Metaverse is
based on the social value of Generation Z that online and offline selves are not different …
based on the social value of Generation Z that online and offline selves are not different …
A frustratingly easy approach for entity and relation extraction
End-to-end relation extraction aims to identify named entities and extract relations between
them. Most recent work models these two subtasks jointly, either by casting them in one …
them. Most recent work models these two subtasks jointly, either by casting them in one …
Span-based joint entity and relation extraction with transformer pre-training
M Eberts, A Ulges - ECAI 2020, 2020 - ebooks.iospress.nl
We introduce SpERT, an attention model for span-based joint entity and relation extraction.
Our key contribution is a light-weight reasoning on BERT embeddings, which features entity …
Our key contribution is a light-weight reasoning on BERT embeddings, which features entity …
Multi-task identification of entities, relations, and coreference for scientific knowledge graph construction
We introduce a multi-task setup of identifying and classifying entities, relations, and
coreference clusters in scientific articles. We create SciERC, a dataset that includes …
coreference clusters in scientific articles. We create SciERC, a dataset that includes …
Onerel: Joint entity and relation extraction with one module in one step
Joint entity and relation extraction is an essential task in natural language processing and
knowledge graph construction. Existing approaches usually decompose the joint extraction …
knowledge graph construction. Existing approaches usually decompose the joint extraction …
Entity-relation extraction as multi-turn question answering
In this paper, we propose a new paradigm for the task of entity-relation extraction. We cast
the task as a multi-turn question answering problem, ie, the extraction of entities and …
the task as a multi-turn question answering problem, ie, the extraction of entities and …
Extracting relational facts by an end-to-end neural model with copy mechanism
The relational facts in sentences are often complicated. Different relational triplets may have
overlaps in a sentence. We divided the sentences into three types according to triplet …
overlaps in a sentence. We divided the sentences into three types according to triplet …
A general framework for information extraction using dynamic span graphs
We introduce a general framework for several information extraction tasks that share span
representations using dynamically constructed span graphs. The graphs are constructed by …
representations using dynamically constructed span graphs. The graphs are constructed by …
A survey on semantic processing techniques
Semantic processing is a fundamental research domain in computational linguistics. In the
era of powerful pre-trained language models and large language models, the advancement …
era of powerful pre-trained language models and large language models, the advancement …
UniRE: A unified label space for entity relation extraction
Many joint entity relation extraction models setup two separated label spaces for the two sub-
tasks (ie, entity detection and relation classification). We argue that this setting may hinder …
tasks (ie, entity detection and relation classification). We argue that this setting may hinder …