Attribute Value Extraction
Attribute Value Extraction is the task of extracting values for a given set of attributes of interest from free text input. Attribute value extraction is for example applied in the context of e-commerce where product attribute values are extracted from product offers.
The related task Attribute Mining assume that the target attribute set is unknown, while attribute value extraction assumes that the attribute set is given. Multimodal Attribute Extraction aims at extracting attribute values from multi-modal input such as text plus images.
Papers
Showing 26–35 of 35 papers
Benchmark Results
| # | Model | Metric | Claimed | Verified | Status |
|---|---|---|---|---|---|
| 1 | GPT-4_10_example_values_&_10_demonstrations | F1-Score | 90.54 | — | Unverified |
| 2 | GPT-3.5_10_example_values_&_10_demonstrations | F1-Score | 88.02 | — | Unverified |
| 3 | AVEQA | F1-Score | 80.83 | — | Unverified |
| 4 | MAVEQA | F1-Score | 65.1 | — | Unverified |
| 5 | SU-OpenTag | F1-Score | 60.44 | — | Unverified |
| # | Model | Metric | Claimed | Verified | Status |
|---|---|---|---|---|---|
| 1 | MAVEQA | F1-score | 98.32 | — | Unverified |
| 2 | AVEQA | F1-score | 98.14 | — | Unverified |
| 3 | AD-Opentag | F1-score | 79.73 | — | Unverified |
| # | Model | Metric | Claimed | Verified | Status |
|---|---|---|---|---|---|
| 1 | GPT-4-json-val-10-dem | F1-score | 87.5 | — | Unverified |
| 2 | ft-GPT-3.5-json-val | F1-score | 86 | — | Unverified |
| # | Model | Metric | Claimed | Verified | Status |
|---|---|---|---|---|---|
| 1 | ft-GPT-3.5-json-val | F1-score | 84.5 | — | Unverified |
| 2 | GPT-4-json-val-10-dem | F1-score | 82.2 | — | Unverified |