Zero-Shot Label Description Aggregation
This repository contains additional material for the Unsupervised Ranking and Aggregation of Label Descriptions for Zero-Shot Models paper.
The file experiments.jsonnet contains all the label descriptions and patterns used for the experiments. To completely populate file, install the jsonnet interpreter and execute it:
jsonnet experiments.jsonnet
Here we list the label descriptions, patterns and null hypothesis (NH) used for the experiments.
labels | manual | |
---|---|---|
0 | Business | ['business', 'markets', 'money'] |
1 | Sci/Tech | ['science and technology', 'technology', 'science'] |
2 | Sports | ['sports', 'fitness', 'races'] |
3 | World | ['world', 'global', 'international'] |
NH: ['business', 'science and technology', 'sports', 'world']
patterns | |
---|---|
0 | It is {} news. |
1 | {} |
2 | Category: {}. |
3 | Section {}. |
labels | manual | |
---|---|---|
0 | acceptable | ['acceptable'] |
1 | unacceptable | ['unacceptable'] |
NH: ['acceptable', 'unacceptable']
patterns | |
---|---|
0 | {} |
1 | It is {}. |
2 | This sentence is {}. |
3 | This sentence is grammatically {}. |
4 | The grammaticality of this sentence is {}. |
labels | manual | |
---|---|---|
0 | neg | ['terrible', 'really terrible', 'awful'] |
1 | pos | ['great', 'really great', 'a masterpiece'] |
NH: ['terrible', 'great']
patterns | |
---|---|
0 | It was {}. |
1 | All in all, it was {}. |
2 | Just {}! |
3 | In summary, the movie is {}. |
4 | {} |
labels | manual | |
---|---|---|
0 | against | ['against', 'negative', 'deny'] |
1 | favor | ['in favor', 'positive', 'support'] |
2 | neutral | ['impartial', 'neutral', 'neutrality'] |
NH: ['against', 'in favor', 'impartial']
patterns | |
---|---|
0 | {} |
1 | {} toward the Catalan independence |
2 | {} the independence |
labels | manual | |
---|---|---|
0 | objective | ['objective', 'neutral', 'detached'] |
1 | subjective | ['subjective', 'biased', 'personal'] |
NH: ['objective', 'subjective']
patterns | |
---|---|
0 | {} |
1 | It is {} |
2 | The text is {} |
labels | manual | |
---|---|---|
0 | 1 | ['terrible', 'awful', 'really bad'] |
1 | 2 | ['great', 'really good', 'excellent'] |
NH: ['terrible', 'great']
patterns | |
---|---|
0 | It was {}. |
1 | All in all, it was {}. |
2 | Just {}! |
3 | In summary, the restaurant is {}. |
labels | manual | |
---|---|---|
0 | 1 star | ['terrible', 'awful', 'really bad'] |
1 | 2 star | ['bad', 'not ok', 'disgusting'] |
2 | 3 stars | ['okay', 'fair', 'ok'] |
3 | 4 stars | ['good', 'nice', 'quite good'] |
4 | 5 stars | ['great', 'really good', 'excellent'] |
NH: ['terrible', 'bad', 'okay', 'good', 'great']
patterns | |
---|---|
0 | It was {}. |
1 | All in all, it was {}. |
2 | Just {}! |
3 | In summary, the restaurant is {}. |