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 301350 of 620 papers

TitleStatusHype
Docforia: A Multilayer Document Model0
Improving Implicit Semantic Role Labeling by Predicting Semantic Frame Arguments0
Automatic semantic role labeling on non-revised syntactic trees of journalistic texts0
Syntax Aware LSTM Model for Chinese Semantic Role Labeling0
Inducing Script Structure from Crowdsourced Event Descriptions via Semi-Supervised Clustering0
Assessing SRL Frameworks with Automatic Training Data Expansion0
Legal NERC with ontologies, Wikipedia and curriculum learning0
Integer Linear Programming formulations in Natural Language Processing0
Understanding the Semantics of Narratives of Interpersonal Violence through Reader Annotations and Physiological Reactions0
The Semantic Proto-Role Linking Model0
Resource-Lean Modeling of Coherence in Commonsense Stories0
Paraphrasing Revisited with Neural Machine Translation0
Out-of-domain FrameNet Semantic Role Labeling0
Bilingual Lexicon Induction by Learning to Combine Word-Level and Character-Level Representations0
Improving Chinese Semantic Role Labeling using High-quality Surface and Deep Case Frames0
End-to-End Learning for Structured Prediction Energy Networks0
Encoding Sentences with Graph Convolutional Networks for Semantic Role LabelingCode0
Improving Chinese SRL with Heterogeneous Annotations0
Feature Generation for Robust Semantic Role Labeling0
A Simple and Accurate Syntax-Agnostic Neural Model for Dependency-based Semantic Role LabelingCode0
Graph Convolutional Networks for Named Entity RecognitionCode0
The Treebanked Conspiracy. Actors and Actions in Bellum Catilinae0
Skip-Prop: Representing Sentences with One Vector Per Proposition0
An Evaluation of PredPatt and Open IE via Stage 1 Semantic Role LabelingCode0
Negation and Modality in Machine Translation0
Multilingual Supervision of Semantic Annotation0
Multilingual Aliasing for Auto-Generating Proposition Banks0
Modeling Context-sensitive Selectional Preference with Distributed Representations0
Deeper syntax for better semantic parsing0
Parallel Sentence Compression0
Korean FrameNet Expansion Based on Projection of Japanese FrameNet0
Improving Statistical Machine Translation with Selectional Preferences0
Facing the most difficult case of Semantic Role Labeling: A collaboration of word embeddings and co-training0
K-SRL: Instance-based Learning for Semantic Role Labeling0
Better call Saul: Flexible Programming for Learning and Inference in NLPCode0
Langforia: Language Pipelines for Annotating Large Collections of Documents0
A Unified Architecture for Semantic Role Labeling and Relation Classification0
BioMedLAT Corpus: Annotation of the Lexical Answer Type for Biomedical QuestionsCode0
Statistical Script Learning with Recurrent Neural Networks0
Cross Sentence Inference for Process Knowledge0
Neural Headline Generation on Abstract Meaning Representation0
A Study of Imitation Learning Methods for Semantic Role Labeling0
Visualizing the Content of a Children's Story in a Virtual World: Lessons Learned0
Exploiting Mutual Benefits between Syntax and Semantic Roles using Neural Network0
Capturing Argument Relationship for Chinese Semantic Role Labeling0
Event Detection and Co-reference with Minimal Supervision0
Computational linking theory0
Retrieval Term Prediction Using Deep Learning Methods0
Recurrent Neural Network Based Loanwords Identification in Uyghur0
Good Automatic Authentication Question Generation0
Show:102550
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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