joint extraction

DataFunTalk

Jan 9, 2022 · Artificial Intelligence

Information Extraction for Unstructured Text: From Closed to Open

This presentation reviews the concepts, tasks, and challenges of information extraction from unstructured text, covering closed and open settings, relation extraction, joint extraction, and open extraction methods, and discusses recent advances such as segment‑attention, global‑rationale models, ETL, TPLinker, and maximal‑clique based approaches with experimental results.

Information ExtractionKnowledge GraphRelation Extraction

0 likes · 18 min read

Information Extraction for Unstructured Text: From Closed to Open

DataFunSummit

Oct 2, 2021 · Artificial Intelligence

Joint Entity and Relation Extraction: Methods and Document‑Level Approaches

This presentation reviews the importance of entity‑relation extraction for knowledge‑graph construction, compares sentence‑level and complex contexts, and surveys joint extraction techniques—including sequence labeling, table filling, and seq2seq models—as well as document‑level graph‑based methods and future research directions.

Graph Neural NetworksKnowledge GraphNLP

0 likes · 15 min read

Joint Entity and Relation Extraction: Methods and Document‑Level Approaches