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 251275 of 620 papers

TitleStatusHype
A Fine-grained Large-scale Analysis of Coreference Projection0
KOI at SemEval-2018 Task 5: Building Knowledge Graph of Incidents0
Multimodal Frame Identification with Multilingual Evaluation0
Key2Vec: Automatic Ranked Keyphrase Extraction from Scientific Articles using Phrase Embeddings0
Supervised Open Information Extraction0
Character-Level Models versus Morphology in Semantic Role LabelingCode0
Polyglot Semantic Role Labeling0
Large-Scale QA-SRL ParsingCode0
Jointly Predicting Predicates and Arguments in Neural Semantic Role LabelingCode0
Deep RNNs Encode Soft Hierarchical Syntax0
Persian Discourse Treebank and coreference corpus0
Neural Models of Selectional Preferences for Implicit Semantic Role LabelingCode0
The Circumstantial Event Ontology (CEO) and ECB+/CEO: an Ontology and Corpus for Implicit Causal Relations between Events0
Creation of a Balanced State-of-the-Art Multilayer Corpus for NLUCode0
The New Propbank: Aligning Propbank with AMR through POS Unification0
CogCompNLP: Your Swiss Army Knife for NLPCode0
Integrating Generative Lexicon Event Structures into VerbNet0
The ACoLi CoNLL Libraries: Beyond Tab-Separated ValuesCode0
Transfer of Frames from English FrameNet to Construct Chinese FrameNet: A Bilingual Corpus-Based Approach0
Annotating Temporally-Anchored Spatial Knowledge by Leveraging Syntactic Dependencies0
Semi-automatic Korean FrameNet Annotation over KAIST Treebank0
Towards AMR-BR: A SemBank for Brazilian Portuguese Language0
Linguistically-Informed Self-Attention for Semantic Role LabelingCode0
Linguistically-Informed Self-Attention for Semantic Role Labeling0
AllenNLP: A Deep Semantic Natural Language Processing PlatformCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1HeSyFuF188.59Unverified
2CRF2o + RoBERTaF188.32Unverified
3MRC-SRLF188.3Unverified
4ReCAT(pretrained on wikitext103)F188Unverified
5SRL-MM + XLNetF187.67Unverified
6CRF2o + BERTF187.66Unverified
7RoBERTa+RegCCRFF187.51Unverified
8RoBERTa+CRFF187.27Unverified
9BiLSTM-Span (Ensemble)F187Unverified
10BiLSTM-SpanF186.2Unverified
#ModelMetricClaimedVerifiedStatus
1MRC-SRLF190Unverified
2SRL-MM + XLNetF189.8Unverified
3CRF2o + RoBERTaF189.54Unverified
4HeSyFuF189.04Unverified
5CRF2o + BERTF189.03Unverified
6Mohammadshahi and Henderson (2021)F188.93Unverified
7BiLSTM-Span (Ensemble, predicates given)F188.5Unverified
8CRF2oF187.87Unverified
9Li et al. (2019) (Ensemble)F187.7Unverified
10BiLSTM-SpanF187.6Unverified
#ModelMetricClaimedVerifiedStatus
1DeepStruct multi-task w/ finetuneF192.1Unverified
2DeepStruct multi-taskF192Unverified
#ModelMetricClaimedVerifiedStatus
1DeepStruct multi-taskF195.5Unverified
2DeepStruct multi-task w/ finetuneF195.2Unverified
#ModelMetricClaimedVerifiedStatus
1DeepStruct multi-taskF197.2Unverified
2DeepStruct multi-task w/ finetuneF196Unverified
#ModelMetricClaimedVerifiedStatus
1Ours (High-Order model)F1 (Arg.)90.2Unverified
#ModelMetricClaimedVerifiedStatus
1HeSyFuAvg. F188.59Unverified