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 476–500 of 620 papers

TitleStatusHype
Question Answering is a Format; When is it Useful?—0
QuickView: NLP-based Tweet Search—0
Reasoning Over Semantic-Level Graph for Fact Checking—0
Recognizing Implied Predicate-Argument Relationships in Textual Inference—0
Recognizing Spatial Containment Relations between Event Mentions—0
Recurrent Neural Network Based Loanwords Identification in Uyghur—0
RED: A Reference Dependency Based MT Evaluation Metric—0
Reducing Approximation and Estimation Errors for Chinese Lexical Processing with Heterogeneous Annotations—0
REFRACTIVE: An Open Source Tool to Extract Knowledge from Syntactic and Semantic Relations—0
Remove Noise and Keep Truth: A Noisy Channel Model for Semantic Role Labeling—0
Representation Learning Using Multi-Task Deep Neural Networks for Semantic Classification and Information Retrieval—0
Resource-Lean Modeling of Coherence in Commonsense Stories—0
Retrieval Term Prediction Using Deep Learning Methods—0
Revisiting Arabic Semantic Role Labeling using SVM Kernel Methods—0
Right-truncatable Neural Word Embeddings—0
Robust Part-of-speech Tagging of Arabic Text—0
Robust Semantic Parsing with Adversarial Learning for Domain Generalization—0
Scaling Semantic Frame Annotation—0
Selectional Preferences for Semantic Role Classification—0
Semantic-aware Dynamic Retrospective-Prospective Reasoning for Event-level Video Question Answering—0
Semantic Cohesion Model for Phrase-Based SMT—0
Semantic Frame Identification with Distributed Word Representations—0
Semantic Framework for Comparison Structures in Natural Language—0
Semantic Proto-Roles—0
Semantic Role Labeling—0
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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