Semantic Role Labeling
Semantic role labeling aims to model the predicate-argument structure of a sentence and is often described as answering "Who did what to whom". BIO notation is typically used for semantic role labeling.
Example:
| Housing | starts | are | expected | to | quicken | a | bit | from | August’s | pace | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | B-ARG1 | I-ARG1 | O | O | O | V | B-ARG2 | I-ARG2 | B-ARG3 | I-ARG3 | I-ARG3 |
Papers
Showing 551–560 of 620 papers
Benchmark Results
| # | Model | Metric | Claimed | Verified | Status |
|---|---|---|---|---|---|
| 1 | HeSyFu | F1 | 88.59 | — | Unverified |
| 2 | CRF2o + RoBERTa | F1 | 88.32 | — | Unverified |
| 3 | MRC-SRL | F1 | 88.3 | — | Unverified |
| 4 | ReCAT(pretrained on wikitext103) | F1 | 88 | — | Unverified |
| 5 | SRL-MM + XLNet | F1 | 87.67 | — | Unverified |
| 6 | CRF2o + BERT | F1 | 87.66 | — | Unverified |
| 7 | RoBERTa+RegCCRF | F1 | 87.51 | — | Unverified |
| 8 | RoBERTa+CRF | F1 | 87.27 | — | Unverified |
| 9 | BiLSTM-Span (Ensemble) | F1 | 87 | — | Unverified |
| 10 | BiLSTM-Span | F1 | 86.2 | — | Unverified |
| # | Model | Metric | Claimed | Verified | Status |
|---|---|---|---|---|---|
| 1 | MRC-SRL | F1 | 90 | — | Unverified |
| 2 | SRL-MM + XLNet | F1 | 89.8 | — | Unverified |
| 3 | CRF2o + RoBERTa | F1 | 89.54 | — | Unverified |
| 4 | HeSyFu | F1 | 89.04 | — | Unverified |
| 5 | CRF2o + BERT | F1 | 89.03 | — | Unverified |
| 6 | Mohammadshahi and Henderson (2021) | F1 | 88.93 | — | Unverified |
| 7 | BiLSTM-Span (Ensemble, predicates given) | F1 | 88.5 | — | Unverified |
| 8 | CRF2o | F1 | 87.87 | — | Unverified |
| 9 | Li et al. (2019) (Ensemble) | F1 | 87.7 | — | Unverified |
| 10 | BiLSTM-Span | F1 | 87.6 | — | Unverified |
| # | Model | Metric | Claimed | Verified | Status |
|---|---|---|---|---|---|
| 1 | DeepStruct multi-task w/ finetune | F1 | 92.1 | — | Unverified |
| 2 | DeepStruct multi-task | F1 | 92 | — | Unverified |
| # | Model | Metric | Claimed | Verified | Status |
|---|---|---|---|---|---|
| 1 | DeepStruct multi-task | F1 | 95.5 | — | Unverified |
| 2 | DeepStruct multi-task w/ finetune | F1 | 95.2 | — | Unverified |
| # | Model | Metric | Claimed | Verified | Status |
|---|---|---|---|---|---|
| 1 | DeepStruct multi-task | F1 | 97.2 | — | Unverified |
| 2 | DeepStruct multi-task w/ finetune | F1 | 96 | — | Unverified |
| # | Model | Metric | Claimed | Verified | Status |
|---|---|---|---|---|---|
| 1 | Ours (High-Order model) | F1 (Arg.) | 90.2 | — | Unverified |
| # | Model | Metric | Claimed | Verified | Status |
|---|---|---|---|---|---|
| 1 | HeSyFu | Avg. F1 | 88.59 | — | Unverified |