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 76100 of 620 papers

TitleStatusHype
Annotating FrameNet via Structure-Conditioned Language GenerationCode0
Frame- and Entity-Based Knowledge for Common-Sense Argumentative ReasoningCode0
High-order Semantic Role LabelingCode0
Enhancing Opinion Role Labeling with Semantic-Aware Word Representations from Semantic Role LabelingCode0
Encoder-decoder based unified semantic role labeling with label-aware syntaxCode0
Discovering collective narratives shifts in online discussionsCode0
A Unified Syntax-aware Framework for Semantic Role LabelingCode0
Effectively Leveraging CLIP for Generating Situational Summaries of Images and VideosCode0
Extracting Entities of Interest from Comparative Product ReviewsCode0
Encoding Sentences with Graph Convolutional Networks for Semantic Role LabelingCode0
End-to-end Semantic Role Labeling with Neural Transition-based ModelCode0
Demonyms and Compound Relational Nouns in Nominal Open IECode0
Extracting Victim Counts from TextCode0
Deep Semantic Role Labeling: What Works and What's NextCode0
A Full End-to-End Semantic Role Labeler, Syntax-agnostic Over Syntax-aware?Code0
Deep Semantic Role Labeling with Self-AttentionCode0
An Exploration of Arbitrary-Order Sequence Labeling via Energy-Based Inference NetworksCode0
A Novel Workflow for Accurately and Efficiently Crowdsourcing Predicate Senses and Argument LabelsCode0
Glyce: Glyph-vectors for Chinese Character RepresentationsCode0
CSAGN: Conversational Structure Aware Graph Network for Conversational Semantic Role LabelingCode0
A Syntax-aware Multi-task Learning Framework for Chinese Semantic Role LabelingCode0
How to best use Syntax in Semantic Role LabellingCode0
Controlled Crowdsourcing for High-Quality QA-SRL AnnotationCode0
Dependency or Span, End-to-End Uniform Semantic Role LabelingCode0
Constraining Linear-chain CRFs to Regular LanguagesCode0
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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