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 201–225 of 620 papers

TitleStatusHype
Effectiveness and Efficiency of Open Relation Extraction—0
Evaluating automatic cross-domain Dutch semantic role annotation—0
Evaluating distributed word representations for capturing semantics of biomedical concepts—0
Beyond The Text: Analysis of Privacy Statements through Syntactic and Semantic Role Labeling—0
Evaluating Inter-Annotator Agreement on Historical Spelling Normalization—0
Event Detection and Co-reference with Minimal Supervision—0
Dynamic web service deployment in a cloud environment—0
Expanding VerbNet with Sketch Engine—0
Experiencer-Specific Emotion and Appraisal Prediction—0
Experiencers, Stimuli, or Targets: Which Semantic Roles Enable Machine Learning to Infer the Emotions?—0
Duluth: Word Sense Discrimination in the Service of Lexicography—0
Exploiting Mutual Benefits between Syntax and Semantic Roles using Neural Network—0
Better Word Representations with Recursive Neural Networks for Morphology—0
Exploring Deterministic Constraints: from a Constrained English POS Tagger to an Efficient ILP Solution to Chinese Word Segmentation—0
Domain Specific Automatic Question Generation from Text—0
Extra \~ao de Alvos em Coment\'arios de Not\' em Portugu\^es baseada na Teoria da Centraliza \~ao (Target Extraction in News Reviews in Portuguese based on Centering Theory)—0
Annotating the Little Prince with Chinese AMRs—0
Align, Disambiguate and Walk: A Unified Approach for Measuring Semantic Similarity—0
Domain Adaptation of SRL Systems for Biological Processes—0
Facing the most difficult case of Semantic Role Labeling: A collaboration of word embeddings and co-training—0
FACTIFY-5WQA: 5W Aspect-based Fact Verification through Question Answering—0
Docforia: A Multilayer Document Model—0
Fast and Accurate Span-based Semantic Role Labeling as Graph Parsing—0
Feature-based Neural Language Model and Chinese Word Segmentation—0
Distributed Representations for Unsupervised Semantic Role Labeling—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