Қатынастарды оқытусыз шығару

method ID: zeroshotrelationextraction

Related Papers

ZeroShotCeres: Zero-Shot Relation Extraction from Semi-Structured Webpages

Authors: nan

Publication: TIPSTER (2020)

DOI: nan

AbstractIn many documents, such as semi-structured webpages, textual semantics are augmented with additional information conveyed using visual elements including layout, font size, and color. Prior work on information extraction from …...

37250

An Exploration of Prompt-Based Zero-Shot Relation Extraction Method

Authors: nan

Publication: TIPSTER (2022)

DOI: nan

Abstract“Zero-shot relation extraction is an important method for dealing with the newly emerging relations in the real world which lacks labeled data. However, the mainstream two-tower zero-shot methods usually rely …...

5528

Pre-training to Match for Unified Low-shot Relation Extraction

Authors: nan

Publication: TIPSTER (2022)

DOI: nan

AbstractLow-shot relation extraction (RE) aims to recognize novel relations with very few or even no samples, which is critical in real scenario application. Few-shot and zero-shot RE are two representative …...

38984

RE-Matching: A Fine-Grained Semantic Matching Method for Zero-Shot Relation Extraction

Authors: nan

Publication: TIPSTER (2023)

DOI: nan

AbstractSemantic matching is a mainstream paradigm of zero-shot relation extraction, which matches a given input with a corresponding label description. The entities in the input should exactly match their hypernyms …...

38494

Weakly-Supervised Questions for Zero-Shot Relation Extraction

Authors: nan

Publication: TIPSTER (2023)

DOI: nan

AbstractZero-Shot Relation Extraction (ZRE) is the task of Relation Extraction where the training and test sets have no shared relation types. This very challenging domain is a good test of …...

42809