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 451–475 of 620 papers

TitleStatusHype
Persian Discourse Treebank and coreference corpus—0
Persian Proposition Bank—0
Persian Semantic Role Labeling Using Transfer Learning and BERT-Based Models—0
Phrase Representations for Multiword Expressions—0
POLYGLOT: Multilingual Semantic Role Labeling with Unified Labels—0
Polyglot Semantic Role Labeling—0
Populating Legal Ontologies using Semantic Role Labeling—0
Post-hoc Manipulations of Vector Space Models with Application to Semantic Role Labeling—0
Potential and Limitations of LLMs in Capturing Structured Semantics: A Case Study on SRL—0
Predicate Argument Structure Analysis using Partially Annotated Corpora—0
Predicate-Argument Structure Analysis with Zero-Anaphora Resolution for Dialogue Systems—0
Predicate Matrix: extending SemLink through WordNet mappings—0
Predicate-specific Annotations for Implicit Role Binding: Corpus Annotation, Data Analysis and Evaluation Experiments—0
Predicting Fine-grained Social Roles with Selectional Preferences—0
Predicting Structures in NLP: Constrained Conditional Models and Integer Linear Programming in NLP—0
Predicting the Argumenthood of English Prepositional Phrases—0
Prediction of Frame-to-Frame Relations in the FrameNet Hierarchy with Frame Embeddings—0
Priberam: A Turbo Semantic Parser with Second Order Features—0
Probabilistic Models of Cross-Lingual Semantic Similarity in Context Based on Latent Cross-Lingual Concepts Induced from Comparable Data—0
Problems in Current Text Simplification Research: New Data Can Help—0
Processing modality and negation—0
Propbank-Br: a Brazilian Treebank annotated with semantic role labels—0
PropBank Comes of Age—Larger, Smarter, and more Diverse—0
Pushing the Limits of ChatGPT on NLP Tasks—0
Question-Answer Driven Semantic Role Labeling: Using Natural Language to Annotate Natural Language—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