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 401–425 of 620 papers

TitleStatusHype
Latent Structure Perceptron with Feature Induction for Unrestricted Coreference Resolution—0
Learning Disentangled Representations in Natural Language Definitions with Semantic Role Labeling Supervision—0
Learning Hidden Markov Models with Distributed State Representations for Domain Adaptation—0
Legal NERC with ontologies, Wikipedia and curriculum learning—0
Leveraging VerbNet to build Corpus-Specific Verb Clusters—0
LIMIT-BERT : Linguistic Informed Multi-Task BERT—0
Linguistically-Informed Self-Attention for Semantic Role Labeling—0
Linguistic Considerations in Automatic Question Generation—0
Local String Transduction as Sequence Labeling—0
Low-Resource Semantic Role Labeling—0
Machine Translation by Modeling Predicate-Argument Structure Transformation—0
MaltOptimizer: An Optimization Tool for MaltParser—0
Margin-based Decomposed Amortized Inference—0
MCTest: A Challenge Dataset for the Open-Domain Machine Comprehension of Text—0
MEANT 2.0: Accurate semantic MT evaluation for any output language—0
MEANTIME, the NewsReader Multilingual Event and Time Corpus—0
Memory-Based Acquisition of Argument Structures and its Application to Implicit Role Detection—0
Meta Sequence Learning for Generating Adequate Question-Answer Pairs—0
Micro blogs Oriented Word Segmentation System—0
Modality and Negation: An Introduction to the Special Issue—0
Modeling and Learning Semantic Co-Compositionality through Prototype Projections and Neural Networks—0
Modeling Context-sensitive Selectional Preference with Distributed Representations—0
Multi-document Summarization using Semantic Role Labeling and Semantic Graph for Indonesian News Article—0
Multilingual Aliasing for Auto-Generating Proposition Banks—0
Multilingual Supervision of Semantic Annotation—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