A RelEntLess Benchmark for Modelling Graded Relations between Named Entities
Paper
• 2305.15002 • Published
• 1
pairs sequence | scores_all sequence | scores_mean sequence | relation_type stringclasses 5 values | prototypical_examples sequence | ranks sequence |
|---|---|---|---|---|---|
[
[
"Nadal",
"Federer"
],
[
"Virgin Media",
"BT"
],
[
"UNIQLO",
"ZARA"
],
[
"The Notorious B.I.G.",
"2Pac"
],
[
"AC Milan",
"Juventus"
],
[
"University of Oxford",
"University of Cambridge"
],
[
"Red Hat",
"Ubuntu"
],
[
"Borussia ... | [
[
5,
4,
5,
5,
4,
4,
5
],
[
5,
5,
4,
4,
5,
5,
5
],
[
4,
4,
5,
3,
5,
3,
4
],
[
4,
1,
5,
5,
4,
4,
5
],
[
5,
5,
5,
5,
5,
4,
5
],
[
4,
5,
4,
4,
... | [
4.571428571428571,
4.714285714285714,
4,
4,
4.857142857142857,
4.285714285714286,
4,
4,
4.714285714285714,
3.5714285714285716,
2.857142857142857,
4,
1,
4.285714285714286,
4.571428571428571,
3,
4.857142857142857,
1.1428571428571428,
3,
5
] | competitor/rival of | [
[
"Dell",
"HP"
],
[
"Sprite",
"7 Up"
],
[
"Israel",
"Palestine"
],
[
"Liverpool FC",
"Manchester United"
],
[
"Microsoft Teams",
"Slack"
]
] | [
6,
4,
12,
12,
2,
8,
12,
12,
4,
15,
18,
12,
20,
8,
6,
16,
2,
19,
16,
1
] |
[
[
"Owain Glyndwr",
"Charles VI of France"
],
[
"United States",
"European Union"
],
[
"UK",
"USA"
],
[
"Thomas Carlyle",
"Charles Dickens"
],
[
"Abraham Lincoln",
"George McLellan"
],
[
"Ukraine",
"Russia"
],
[
"Russia",
"Belarus"
],
... | [
[
4,
5,
5,
3,
3,
5,
4
],
[
4,
4,
5,
4,
5,
5,
4
],
[
4,
5,
5,
5,
5,
5,
5
],
[
4,
4,
5,
5,
4,
3,
4
],
[
2,
1,
2,
2,
2,
1,
2
],
[
1,
1,
1,
1,
... | [
4.142857142857143,
4.428571428571429,
4.857142857142857,
4.142857142857143,
1.7142857142857142,
1,
5,
1.7142857142857142,
3,
4.428571428571429,
3.7142857142857144,
2.5714285714285716,
4,
3.857142857142857,
1.4285714285714286,
3,
4.571428571428571,
1.2857142857142858,
1.4285714285... | friend/ally of | [
[
"Australia",
"New Zealand"
],
[
"Aznar",
"Bush"
],
[
"Extinction Rebellion",
"Greta Thunberg"
],
[
"Elsa",
"Anna"
],
[
"CIA",
"MI6"
]
] | [
6,
4,
2,
6,
14,
19,
1,
14,
11,
4,
10,
13,
8,
9,
16,
11,
3,
18,
16
] |
[
[
"Oasis",
"Beatles"
],
[
"Vincent van gogh",
"Bipolar disorder"
],
[
"UK",
"Winston Churchill"
],
[
"The Hunger Games",
"1984"
],
[
"Acer",
"Asus"
],
[
"Vape",
"cigarette"
],
[
"Pulp",
"Beatles"
],
[
"Buckingham Palace",
"A... | [
[
4,
4,
5,
5,
5,
4,
5
],
[
4,
1,
2,
4,
5,
4,
5
],
[
4,
5,
3,
5,
5,
4,
5
],
[
4,
5,
3,
4,
4,
4,
4
],
[
4,
5,
3,
4,
5,
3,
5
],
[
4,
5,
3,
5,
... | [
4.571428571428571,
3.5714285714285716,
4.428571428571429,
4,
4.142857142857143,
4.571428571428571,
3.2857142857142856,
1,
1.4285714285714286,
4.142857142857143,
1,
4.571428571428571,
3.857142857142857,
4.571428571428571,
4.714285714285714,
4.285714285714286,
4.571428571428571,
3,
... | influenced by | [
[
"Europe",
"European Union"
],
[
"Plato",
"Socrates"
],
[
"Ethereum",
"Bitcoin"
],
[
"Messi",
"Maradona"
],
[
"Impressionism",
"Edouard Manet"
]
] | [
4,
13,
7,
11,
9,
4,
14,
18,
16,
9,
18,
4,
12,
4,
1,
8,
4,
15,
17
] |
[
[
"Le Corbusier",
"purism art"
],
[
"Sean Connery",
"Finding Forrester"
],
[
"Qualcomm",
"smartphones"
],
[
"Adam Driver",
"Hannibal Lecter"
],
[
"Scotland",
"bagpipes"
],
[
"Mount Everest",
"New Testament"
],
[
"Bosch",
"dishwasher"
... | [
[
4,
5,
3,
4,
5,
3,
5
],
[
4,
5,
2,
5,
5,
4,
2
],
[
3,
3,
2,
3,
2,
2,
2
],
[
1,
5,
1,
2,
1,
3,
1
],
[
4,
5,
5,
5,
5,
5,
5
],
[
2,
1,
1,
1,
... | [
4.142857142857143,
3.857142857142857,
2.4285714285714284,
2,
4.857142857142857,
1.1428571428571428,
3,
1.4285714285714286,
4,
5,
1.7142857142857142,
4.857142857142857,
1.8571428571428572,
4.857142857142857,
1.2857142857142858,
4.857142857142857,
3.2857142857142856,
4.14285714285714... | known for | [
[
"Russell Crowe",
"Gladiator"
],
[
"Cadbury",
"chocolate"
],
[
"Paris",
"Eiffel Tower"
],
[
"Leonardo Da Vinci",
"Mona Lisa"
],
[
"Apple",
"iPhone"
]
] | [
6,
9,
12,
13,
3,
18,
11,
16,
8,
1,
15,
3,
14,
3,
17,
3,
10,
6
] |
[
[
"NATO",
"United Nations"
],
[
"Surrey",
"Essex"
],
[
"Squid Game",
"Physical: 100"
],
[
"Adele",
"Ed Sheeran"
],
[
"Sweden",
"Finland"
],
[
"Prada",
"Versace"
],
[
"Champions League",
"Primavera Sound"
],
[
"Christianity",
... | [
[
4,
5,
3,
5,
5,
5,
4
],
[
4,
5,
5,
4,
4,
4,
5
],
[
4,
4,
3,
4,
5,
4,
5
],
[
4,
2,
4,
2,
4,
3,
4
],
[
5,
4,
5,
4,
5,
5,
2
],
[
4,
5,
5,
4,
... | [
4.428571428571429,
4.428571428571429,
4.142857142857143,
3.2857142857142856,
4.285714285714286,
4.571428571428571,
1.2857142857142858,
3.5714285714285716,
4.857142857142857,
2.857142857142857,
3.857142857142857,
3.857142857142857,
4.857142857142857,
1.8571428571428572,
1.1428571428571428... | similar to | [
[
"Coca-Cola",
"Pepsi"
],
[
"Ligue 1",
"Bundesliga"
],
[
"Australia",
"New Zealand"
],
[
"The Avengers",
"The Justice League"
],
[
"Tesco",
"Sainsburys"
]
] | [
4,
4,
7,
13,
6,
3,
17,
12,
1,
14,
10,
10,
1,
16,
19,
17,
9,
7,
15
] |
RelEntLess is a new benchmark, in which entity pairs have to be ranked according to how much they satisfy a given graded relation. Essentially, the task is a ranking task where we provide five prototypical examples to each relation. Following brief description of each relation type is used in our baseline in addition to the prototypical examples. Please check our paper "A RelEntLess Benchmark for Modelling Graded Relations between Named Entities" for more detail.
{
"friend/ally of": "entities that are friends or allies",
"competitor/rival of": "entities that are competitors or rivals",
"known for": "examples of what entities are known for",
"influenced by": "what has influenced different entities",
"similar to": "examples of entities that are similar"
}
| relation_type | val. | test |
|---|---|---|
| competitor/rival of | 20 | 84 |
| friend/ally of | 19 | 88 |
| influenced by | 19 | 90 |
| known for | 18 | 105 |
| similar to | 19 | 89 |
{
"pairs": [["Le Corbusier", "purism art"], ["Sean Connery", "Finding Forrester"], ...],
"scores_all": [[4.0, 5.0, 3.0, 4.0, 5.0, 3.0, 5.0], [4.0, 5.0, 2, 5.0, 5.0, 4.0, 2], ...],
"scores_mean": [4.142857142857143, 3.857142857142857, 4.857142857142857, ...],
"relation_type": "known for",
"ranks": [8.5, 11, 5, 14, 15, 5, 20, 13, 1.5, 18, 10, 1.5, 17, ...],
"prototypical_examples": [ [ "Russell Crowe", "Gladiator" ], [ "Cadbury", "chocolate" ],...]
}
@misc{ushio2023relentless,
title={A RelEntLess Benchmark for Modelling Graded Relations between Named Entities},
author={Asahi Ushio and Jose Camacho Collados and Steven Schockaert},
year={2023},
eprint={2305.15002},
archivePrefix={arXiv},
primaryClass={cs.CL}
}