Entity Linking for Short Text Using Structured Knowledge Graph via Multi-Grained Text Matching

Huang, Binxuan; Wang, Han; Wang, Tong; Liu, Yue; Liu, Yang

doi:10.21437/interspeech.2020-1934

Cited by 2 publications

(11 citation statements)

References 12 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The vast majority of methods is using machine learning to solve the EL task [8,15,16,18,24,53,60,65,77,78,86,89,105]. Some of those approaches solve the ER and EL jointly as an end-to-end task.…”

Section: Approachesmentioning

confidence: 99%

“…The approach designed by Huang et al [53] is specialized in short texts, mainly questions. The ER is performed via a pre-trained BERT model [26] with a single classification layer on top, determining if a token belongs to an entity mention.…”

Section: Language Model-based Approachesmentioning

confidence: 99%

“…Of all approaches, only two algorithms [8,53] use descriptions explicitly. Others incorporate them through triples too, but more on the side [77].…”

Section: Utilization Of Wikidata Characteristicsmentioning

confidence: 99%

“…The rule-based approach Falcon 2.0 [100] is not affected by a developing knowledge graph but only usable for correctly-stated questions. Methods only working on text information [16,53,77,78,89] like labels, descriptions or aliases do not need to be updated if Wikidata changes,…”

Section: Utilization Of Wikidata Characteristicsmentioning

confidence: 99%

“…The other approaches still need to be evaluated on the zero-shot EL task to be certain. For approaches [46,53,60] that rely on statistics over Wikipedia, new entities in Wikidata may sometimes not exist in Wikipedia to a satisfying degree. As a consequence, only a subset of all entities in Wikidata is supported.…”

Section: Utilization Of Wikidata Characteristicsmentioning

confidence: 99%

See 4 more Smart Citations

Survey on English Entity Linking on Wikidata: Datasets and approaches

Cedric

Lehmann

Usbeck

2022

View full text Add to dashboard Cite

Wikidata is a frequently updated, community-driven, and multilingual knowledge graph. Hence, Wikidata is an attractive basis for Entity Linking, which is evident by the recent increase in published papers. This survey focuses on four subjects: (1) Which Wikidata Entity Linking datasets exist, how widely used are they and how are they constructed? (2) Do the characteristics of Wikidata matter for the design of Entity Linking datasets and if so, how? (3) How do current Entity Linking approaches exploit the specific characteristics of Wikidata? (4) Which Wikidata characteristics are unexploited by existing Entity Linking approaches? This survey reveals that current Wikidata-specific Entity Linking datasets do not differ in their annotation scheme from schemes for other knowledge graphs like DBpedia. Thus, the potential for multilingual and time-dependent datasets, naturally suited for Wikidata, is not lifted. Furthermore, we show that most Entity Linking approaches use Wikidata in the same way as any other knowledge graph missing the chance to leverage Wikidata-specific characteristics to increase quality. Almost all approaches employ specific properties like labels and sometimes descriptions but ignore characteristics such as the hyper-relational structure. Hence, there is still room for improvement, for example, by including hyper-relational graph embeddings or type information. Many approaches also include information from Wikipedia, which is easily combinable with Wikidata and provides valuable textual information, which Wikidata lacks.

show abstract

Section: Approachesmentioning

confidence: 99%

Section: Language Model-based Approachesmentioning

confidence: 99%

“…Of all approaches, only two algorithms [8,53] use descriptions explicitly. Others incorporate them through triples too, but more on the side [77].…”

Section: Utilization Of Wikidata Characteristicsmentioning

confidence: 99%

Section: Utilization Of Wikidata Characteristicsmentioning

confidence: 99%

Section: Utilization Of Wikidata Characteristicsmentioning

confidence: 99%

See 3 more Smart Citations

Survey on English Entity Linking on Wikidata: Datasets and approaches

Cedric

Lehmann

Usbeck

2022

View full text Add to dashboard Cite

show abstract

Survey on English Entity Linking on Wikidata

Cedric¹,

Lehmann²,

Usbeck³

2021

Preprint

View full text Add to dashboard Cite

Wikidata is a frequently updated, community-driven, and multilingual knowledge graph. Hence, Wikidata is an attractive basis for Entity Linking, which is evident by the recent increase in published papers. This survey focuses on four subjects:(1) Which Wikidata Entity Linking datasets exist, how widely used are they and how are they constructed? (2) Do the characteristics of Wikidata matter for the design of Entity Linking datasets and if so, how? (3) How do current Entity Linking approaches exploit the specific characteristics of Wikidata? (4) Which Wikidata characteristics are unexploited by existing Entity Linking approaches? This survey reveals that current Wikidata-specific Entity Linking datasets do not differ in their annotation scheme from schemes for other knowledge graphs like DBpedia. Thus, the potential for multilingual and time-dependent datasets, naturally suited for Wikidata, is not lifted. Furthermore, we show that most Entity Linking approaches use Wikidata in the same way as any other knowledge graph missing the chance to leverage Wikidata-specific characteristics to increase quality. Almost all approaches employ specific properties like labels and sometimes descriptions but ignore characteristics such as the hyperrelational structure. Hence, there is still room for improvement, for example, by including hyper-relational graph embeddings or type information. Many approaches also include information from Wikipedia, which is easily combinable with Wikidata and provides valuable textual information, which Wikidata lacks.

show abstract

Entity Linking for Short Text Using Structured Knowledge Graph via Multi-Grained Text Matching

Cited by 2 publications

References 12 publications

Survey on English Entity Linking on Wikidata: Datasets and approaches

Survey on English Entity Linking on Wikidata: Datasets and approaches

Survey on English Entity Linking on Wikidata

Contact Info

Product

Resources

About