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 5175 of 620 papers

TitleStatusHype
Graph Convolutional Networks for Named Entity RecognitionCode0
A Random Walk Approach to Selectional Preferences Based on Preference Ranking and PropagationCode0
Extracting Entities of Interest from Comparative Product ReviewsCode0
A Primal Dual Formulation For Deep Learning With ConstraintsCode0
Enhancing Opinion Role Labeling with Semantic-Aware Word Representations from Semantic Role LabelingCode0
Extracting Victim Counts from TextCode0
Encoder-decoder based unified semantic role labeling with label-aware syntaxCode0
Glyce: Glyph-vectors for Chinese Character RepresentationsCode0
Encoding Sentences with Graph Convolutional Networks for Semantic Role LabelingCode0
Graph Convolutions over Constituent Trees for Syntax-Aware Semantic Role LabelingCode0
Improving Aspect-Based Sentiment with End-to-End Semantic Role Labeling ModelCode0
A Simple and Accurate Syntax-Agnostic Neural Model for Dependency-based Semantic Role LabelingCode0
Effectively Leveraging CLIP for Generating Situational Summaries of Images and VideosCode0
End-to-end Semantic Role Labeling with Neural Transition-based ModelCode0
Jointly Predicting Predicates and Arguments in Neural Semantic Role LabelingCode0
A Novel Workflow for Accurately and Efficiently Crowdsourcing Predicate Senses and Argument LabelsCode0
Demonyms and Compound Relational Nouns in Nominal Open IECode0
Deep Semantic Role Labeling with Self-AttentionCode0
Annotating FrameNet via Structure-Conditioned Language GenerationCode0
Dependency or Span, End-to-End Uniform Semantic Role LabelingCode0
CSAGN: Conversational Structure Aware Graph Network for Conversational Semantic Role LabelingCode0
Deep Semantic Role Labeling: What Works and What's NextCode0
Dict2vec : Learning Word Embeddings using Lexical DictionariesCode0
Context-aware Frame-Semantic Role LabelingCode0
A Full End-to-End Semantic Role Labeler, Syntax-agnostic Over Syntax-aware?Code0
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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