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Multilingual Entity and Relation Extraction Dataset and Model

2021-04-01 · EACL 2021 2 · Alessandro Seganti, Klaudia Firl{\k{a}}g, Helena Skowronska, Micha{\l} Sat{\l}awa, Piotr Andruszkiewicz

We present a novel dataset and model for a multilingual setting to approach the task of Joint Entity and Relation Extraction. The SMiLER dataset consists of 1.1 M annotated sentences, representing 36 relations, and 14 languages. To the best of our knowledge, this is currently both the largest and the most comprehensive dataset of this type. We introduce HERBERTa, a pipeline that combines two independent BERT models: one for sequence classification, and the other for entity tagging. The model achieves micro F1 81.49 for English on this dataset, which is close to the current SOTA on CoNLL, SpERT.

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Code (1)

samsungnlp/smiler 공식 구현

Tasks

Joint Entity and Relation ExtractionmodelRelationRelation Extraction

Methods 이 논문이 사용한 방법론

Linear Layer A Linear Layer is a projection $\mathbf{XW + b}$.

Attention 설명 없음

Adam 설명 없음

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Linear Warmup With Linear Decay Linear Warmup With Linear Decay is a learning rate schedule in which we increase the learning rate linearly for $n$ updates and then linearly decay afterwards.

Residual Connection 설명 없음

WordPiece 설명 없음

Attention Dropout Attention Dropout is a type of dropout used in attention-based architectures, where elements are randomly dropped out of the…

Multilingual Entity and Relation Extraction from Unified to Language-specific Training

2023-01-11 · Zixiang Wang, Jian Yang, Tongliang Li, Jiaheng Liu 외

Entity and relation extraction is a key task in information extraction, where the output can be used for downstream NLP tasks. Existing approaches for entity and relation extraction tasks mainly focus on the English corp…

Relation Relation Extraction Sentence

LOME: Large Ontology Multilingual Extraction

2021-01-28 · EACL 2021 2 · Patrick Xia, Guanghui Qin, Siddharth Vashishtha, Yunmo Chen 외

We present LOME, a system for performing multilingual information extraction. Given a text document as input, our core system identifies spans of textual entity and event mentions with a FrameNet (Baker et al., 1998) par…

coreference-resolution Coreference Resolution Entity Typing Relation+3

RED$^{\rm FM}$: a Filtered and Multilingual Relation Extraction Dataset

2023-06-16 · Pere-Lluís Huguet Cabot, Simone Tedeschi, Axel-Cyrille Ngonga Ngomo, Roberto Navigli

Relation Extraction (RE) is a task that identifies relationships between entities in a text, enabling the acquisition of relational facts and bridging the gap between natural language and structured knowledge. However, c…

Relation Relation Extraction Triplet

Multilingual Entity, Relation, Event and Human Value Extraction

2019-06-01 · NAACL 2019 6 · Manling Li, Ying Lin, Joseph Hoover, Spencer Whitehead 외

This paper demonstrates a state-of-the-art end-to-end multilingual (English, Russian, and Ukrainian) knowledge extraction system that can perform entity discovery and linking, relation extraction, event extraction, and c…

Event Extraction Relation Relation Extraction

DiS-ReX: A Multilingual Dataset for Distantly Supervised Relation Extraction

2021-04-17 · ACL 2022 5 · Abhyuday Bhartiya, Kartikeya Badola, Mausam

Distant supervision (DS) is a well established technique for creating large-scale datasets for relation extraction (RE) without using human annotations. However, research in DS-RE has been mostly limited to the English l…

Relation Relation Extraction