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 501525 of 620 papers

TitleStatusHype
Semantic Role Labeling as Dependency Parsing: Exploring Latent Tree Structures Inside Arguments0
Semantic Role Labeling for Knowledge Graph Extraction from Text0
Semantic Role Labeling for Sentiment Inference: A Case Study0
Semantic Role Labeling Guided Multi-turn Dialogue ReWriter0
Semantic Role Labeling Improves Incremental Parsing0
Semantic Role Labeling in Conversational Chat using Deep Bi-Directional Long Short-Term Memory Networks with Attention Mechanism0
Semantic Role Labeling of Emotions in Tweets0
Semantic Role Labeling of Implicit Arguments for Nominal Predicates0
Semantic Role Labeling of NomBank Partitives0
Semantic role labeling tools for biomedical question answering: a study of selected tools on the BioASQ datasets0
Semantic Role Labeling with Neural Network Factors0
Semantic Role Labeling with Pretrained Language Models for Known and Unknown Predicates0
Semantic Role Labeling with the Swedish FrameNet0
Semantic Roles for String to Tree Machine Translation0
Semantics, Discourse and Statistical Machine Translation0
SemEval-2012 Task 5: Chinese Semantic Dependency Parsing0
SemEval-2012 Task 6: A Pilot on Semantic Textual Similarity0
SemEval 2015 Task 18: Broad-Coverage Semantic Dependency Parsing0
Semi-automatically Alignment of Predicates between Speech and OntoNotes data0
Semi-automatic Korean FrameNet Annotation over KAIST Treebank0
Semi-Supervised Semantic Role Labeling: Approaching from an Unsupervised Perspective0
Semi-Supervised Semantic Role Labeling via Structural Alignment0
Semi-Supervised Semantic Role Labeling with Cross-View Training0
SemLink+: FrameNet, VerbNet and Event Ontologies0
Sentence Embedding Evaluation Using Pyramid Annotation0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1HeSyFuF188.59Unverified
2CRF2o + RoBERTaF188.32Unverified
3MRC-SRLF188.3Unverified
4ReCAT(pretrained on wikitext103)F188Unverified
5SRL-MM + XLNetF187.67Unverified
6CRF2o + BERTF187.66Unverified
7RoBERTa+RegCCRFF187.51Unverified
8RoBERTa+CRFF187.27Unverified
9BiLSTM-Span (Ensemble)F187Unverified
10BiLSTM-SpanF186.2Unverified
#ModelMetricClaimedVerifiedStatus
1MRC-SRLF190Unverified
2SRL-MM + XLNetF189.8Unverified
3CRF2o + RoBERTaF189.54Unverified
4HeSyFuF189.04Unverified
5CRF2o + BERTF189.03Unverified
6Mohammadshahi and Henderson (2021)F188.93Unverified
7BiLSTM-Span (Ensemble, predicates given)F188.5Unverified
8CRF2oF187.87Unverified
9Li et al. (2019) (Ensemble)F187.7Unverified
10BiLSTM-SpanF187.6Unverified
#ModelMetricClaimedVerifiedStatus
1DeepStruct multi-task w/ finetuneF192.1Unverified
2DeepStruct multi-taskF192Unverified
#ModelMetricClaimedVerifiedStatus
1DeepStruct multi-taskF195.5Unverified
2DeepStruct multi-task w/ finetuneF195.2Unverified
#ModelMetricClaimedVerifiedStatus
1DeepStruct multi-taskF197.2Unverified
2DeepStruct multi-task w/ finetuneF196Unverified
#ModelMetricClaimedVerifiedStatus
1Ours (High-Order model)F1 (Arg.)90.2Unverified
#ModelMetricClaimedVerifiedStatus
1HeSyFuAvg. F188.59Unverified