SOTAVerified

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 76–100 of 620 papers

TitleStatusHype
AMR Parsing with Instruction Fine-tuned Pre-trained Language Models—0
Assorted, Archetypal and Annotated Two Million (3A2M) Cooking Recipes Dataset based on Active Learning—0
Automatic Generation of Multiple-Choice Questions—0
Extracting Victim Counts from TextCode0
The Role of Semantic Parsing in Understanding Procedural TextCode0
Friend-training: Learning from Models of Different but Related Tasks—0
Characterizing the Entities in Harmful Memes: Who is the Hero, the Villain, the Victim?—0
Influence Functions for Sequence Tagging ModelsCode0
Experiencer-Specific Emotion and Appraisal Prediction—0
Tag-Set-Sequence Learning for Generating Question-Answer Pairs—0
PriMeSRL-Eval: A Practical Quality Metric for Semantic Role Labeling Systems EvaluationCode0
Conversational Semantic Role Labeling with Predicate-Oriented Latent Graph—0
Iterative Span Selection: Self-Emergence of Resolving Orders in Semantic Role Labeling—0
“Kanglish alli names!” Named Entity Recognition for Kannada-English Code-Mixed Social Media Data—0
Semantic Role Labeling for Sentiment Inference: A Case Study—0
Heterogeneous Line Graph Transformer for Math Word Problems—0
Label Definitions Improve Semantic Role LabelingCode0
PropBank Comes of Age—Larger, Smarter, and more Diverse—0
The Robotic Surgery Procedural FramebankCode0
Universal Proposition Bank 2.0—0
Using Semantic Role Labeling to Improve Neural Machine Translation—0
Syntax-driven Approach for Semantic Role LabelingCode0
Universal Semantic Annotator: the First Unified API for WSD, SRL and Semantic Parsing—0
Transition-based Semantic Role Labeling with Pointer NetworksCode0
MuCPAD: A Multi-Domain Chinese Predicate-Argument DatasetCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1HeSyFuF188.59—Unverified
2CRF2o + RoBERTaF188.32—Unverified
3MRC-SRLF188.3—Unverified
4ReCAT(pretrained on wikitext103)F188—Unverified
5SRL-MM + XLNetF187.67—Unverified
6CRF2o + BERTF187.66—Unverified
7RoBERTa+RegCCRFF187.51—Unverified
8RoBERTa+CRFF187.27—Unverified
9BiLSTM-Span (Ensemble)F187—Unverified
10BiLSTM-SpanF186.2—Unverified
#ModelMetricClaimedVerifiedStatus
1MRC-SRLF190—Unverified
2SRL-MM + XLNetF189.8—Unverified
3CRF2o + RoBERTaF189.54—Unverified
4HeSyFuF189.04—Unverified
5CRF2o + BERTF189.03—Unverified
6Mohammadshahi and Henderson (2021)F188.93—Unverified
7BiLSTM-Span (Ensemble, predicates given)F188.5—Unverified
8CRF2oF187.87—Unverified
9Li et al. (2019) (Ensemble)F187.7—Unverified
10BiLSTM-SpanF187.6—Unverified
#ModelMetricClaimedVerifiedStatus
1DeepStruct multi-task w/ finetuneF192.1—Unverified
2DeepStruct multi-taskF192—Unverified
#ModelMetricClaimedVerifiedStatus
1DeepStruct multi-taskF195.5—Unverified
2DeepStruct multi-task w/ finetuneF195.2—Unverified
#ModelMetricClaimedVerifiedStatus
1DeepStruct multi-taskF197.2—Unverified
2DeepStruct multi-task w/ finetuneF196—Unverified
#ModelMetricClaimedVerifiedStatus
1Ours (High-Order model)F1 (Arg.)90.2—Unverified
#ModelMetricClaimedVerifiedStatus
1HeSyFuAvg. F188.59—Unverified