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 601620 of 620 papers

TitleStatusHype
The Netlog Corpus. A Resource for the Study of Flemish Dutch Internet Language0
UBY-LMF -- A Uniform Model for Standardizing Heterogeneous Lexical-Semantic Resources in ISO-LMF0
Empty Argument Insertion in the Hindi PropBank0
Evaluating automatic cross-domain Dutch semantic role annotation0
The Dependency-Parsed FrameNet Corpus0
Semantic Role Labeling with the Swedish FrameNet0
Dynamic web service deployment in a cloud environment0
Concept-based Selectional Preferences and Distributional Representations from Wikipedia Articles0
Automatic word alignment tools to scale production of manually aligned parallel texts0
Associative and Semantic Features Extracted From Web-Harvested Corpora0
Improving the Recall of a Discourse Parser by Constraint-based Postprocessing0
A Bayesian Approach to Unsupervised Semantic Role Induction0
Framework of Semantic Role Assignment based on Extended Lexical Conceptual Structure: Comparison with VerbNet and FrameNet0
Inferring Selectional Preferences from Part-Of-Speech N-grams0
UBY - A Large-Scale Unified Lexical-Semantic Resource Based on LMF0
MaltOptimizer: An Optimization Tool for MaltParser0
Semantic Role Labeling of Implicit Arguments for Nominal Predicates0
Semi-Supervised Semantic Role Labeling via Structural Alignment0
Modality and Negation: An Introduction to the Special Issue0
Natural Language Processing (almost) from ScratchCode0
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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