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 76–100 of 620 papers

TitleStatusHype
Align, Disambiguate and Walk: A Unified Approach for Measuring Semantic Similarity—0
Annotating the Little Prince with Chinese AMRs—0
Adaptive Convolution for Semantic Role Labeling—0
A Data-Driven Approach for Semantic Role Labeling from Induced Grammar Structures in Language—0
A Joint Sequential and Relational Model for Frame-Semantic Parsing—0
Chinese Semantic Role Labeling using High-quality Syntactic Knowledge—0
Chinese Semantic Role Labeling with Bidirectional Recurrent Neural Networks—0
Automatic semantic role labeling in Ancient Greek using distributional semantic modeling—0
Automatic Propbank Generation for Turkish—0
Annotating and Predicting Non-Restrictive Noun Phrase Modifications—0
Automatic Morphological Enrichment of a Morphologically Underspecified Treebank—0
Automatic semantic role labeling on non-revised syntactic trees of journalistic texts—0
Automatic word alignment tools to scale production of manually aligned parallel texts—0
Automatic Generation of Multiple-Choice Questions—0
Annotating Temporally-Anchored Spatial Knowledge by Leveraging Syntactic Dependencies—0
An MRC Framework for Semantic Role Labeling—0
Better Word Representations with Recursive Neural Networks for Morphology—0
Beyond The Text: Analysis of Privacy Statements through Syntactic and Semantic Role Labeling—0
Bilingual English-Czech Valency Lexicon Linked to a Parallel Corpus—0
Bilingual Lexicon Induction by Learning to Combine Word-Level and Character-Level Representations—0
An Unsupervised Model for Instance Level Subcategorization Acquisition—0
Book Reviews: Ontology-Based Interpretation of Natural Language by Philipp Cimiano, Christina Unger and John McCrae—0
Bootstrapping Semantic Role Labelers from Parallel Data—0
Automatic Generation of a Lexical Resource to support Semantic Role Labeling in Portuguese—0
Automatically Identifying Implicit Arguments to Improve Argument Linking and Coherence Modeling—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