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 526–550 of 620 papers

TitleStatusHype
Syntax-Enhanced Self-Attention-Based Semantic Role Labeling—0
Adapting a part-of-speech tagset to non-standard text: The case of STTS—0
Syntax Helps ELMo Understand Semantics: Is Syntax Still Relevant in a Deep Neural Architecture for SRL?—0
Syntax in End-to-End Natural Language Processing—0
Syntax Role for Neural Semantic Role Labeling—0
Tag-Set-Sequence Learning for Generating Question-Answer Pairs—0
Active Data Sampling and Generation for Bias Remediation—0
Textual Entailment based Question Generation—0
Textual Inference and Meaning Representation in Human Robot Interaction—0
What Information is Helpful for Dependency Based Semantic Role Labeling—0
The Case for Scalable, Data-Driven Theory: A Paradigm for Scientific Progress in NLP—0
The Circumstantial Event Ontology (CEO) and ECB+/CEO: an Ontology and Corpus for Implicit Causal Relations between Events—0
The CoNLL-2013 Shared Task on Grammatical Error Correction—0
Argument Linking: A Survey and Forecast—0
A Robust Approach to Aligning Heterogeneous Lexical Resources—0
A Semantic Approach to Summarization—0
A Semantic Role-based Approach to Open-Domain Automatic Question Generation—0
A Semantics-based Approach to Disclosure Classification in User-Generated Online Content—0
A Sequence-to-Sequence Model for Semantic Role Labeling—0
A Shortest-path Method for Arc-factored Semantic Role Labeling—0
A Distant Supervision Approach to Semantic Role Labeling—0
The C-Score -- Proposing a Reading Comprehension Metrics as a Common Evaluation Measure for Text Simplification—0
Assessing SRL Frameworks with Automatic Training Data Expansion—0
Assessing the performance of Olelo, a real-time biomedical question answering application—0
Associative and Semantic Features Extracted From Web-Harvested Corpora—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