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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 501–525 of 620 papers

TitleStatusHype
UTD-SpRL: A Joint Approach to Spatial Role Labeling—0
SpRL-CWW: Spatial Relation Classification with Independent Multi-class Models—0
A Fine-grained Large-scale Analysis of Coreference Projection—0
Affordance Extraction and Inference based on Semantic Role Labeling—0
SRTube: Video-Language Pre-Training with Action-Centric Video Tube Features and Semantic Role Labeling—0
Statistical Metaphor Processing—0
Statistical Models for Frame-Semantic Parsing—0
Statistical Script Learning with Recurrent Neural Networks—0
Structural Alignment for Comparison Detection—0
Structural Representations for Learning Relations between Pairs of Texts—0
Structured Belief Propagation for NLP—0
Advancements in Reordering Models for Statistical Machine Translation—0
A Dual-Layer Semantic Role Labeling System—0
Subword ELMo—0
Supersense Embeddings: A Unified Model for Supersense Interpretation, Prediction, and Utilization—0
Supervised Model Learning with Feature Grouping based on a Discrete Constraint—0
Supervised Open Information Extraction—0
Syntax-Aware Graph-to-Graph Transformer for Semantic Role Labelling—0
Syntax Aware LSTM Model for Chinese Semantic Role Labeling—0
Syntax Aware LSTM model for Semantic Role Labeling—0
Verbal Valency Frame Detection and Selection in Czech and English—0
VerbAtlas: a Novel Large-Scale Verbal Semantic Resource and Its Application to Semantic Role Labeling—0
VerbLexPor: um recurso l\'exico com anota \~ao de pap\'eis sem\^anticos para o portugu\^es (VerbLexPor: a lexical resource annotated with semantic roles for Portuguese)—0
Visualizing the Content of a Children's Story in a Virtual World: Lessons Learned—0
Adapting Discriminative Reranking to Grounded Language Learning—0
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All datasetsOntoNotesCoNLL 2005CoNLL05 BrownCoNLL05 WSJCoNLL12CoNLL-2009CoNLL-2012

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