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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 176–200 of 620 papers

TitleStatusHype
DFKI: Multi-objective Optimization for the Joint Disambiguation of Entities and Nouns \& Deep Verb Sense Disambiguation—0
Automatic word alignment tools to scale production of manually aligned parallel texts—0
Dijkstra-WSA: A Graph-Based Approach to Word Sense Alignment—0
Event Detection and Co-reference with Minimal Supervision—0
Distributed Representations for Unsupervised Semantic Role Labeling—0
Docforia: A Multilayer Document Model—0
Domain Adaptation of SRL Systems for Biological Processes—0
Cross-lingual Semantic Role Labeling with Model Transfer—0
A Study of Imitation Learning Methods for Semantic Role Labeling—0
Duluth: Word Sense Discrimination in the Service of Lexicography—0
Dynamic web service deployment in a cloud environment—0
Beyond The Text: Analysis of Privacy Statements through Syntactic and Semantic Role Labeling—0
Effectiveness and Efficiency of Open Relation Extraction—0
Efficient Inference and Structured Learning for Semantic Role Labeling—0
Cross-Lingual Part-of-Speech Tagging through Ambiguous Learning—0
Cross-lingual Model Transfer Using Feature Representation Projection—0
A New Method for Cross-Lingual-based Semantic Role Labeling—0
Encoding of Compounds in Swedish FrameNet—0
An Unsupervised Model for Instance Level Subcategorization Acquisition—0
Encoding Syntactic Constituency Paths for Frame-Semantic Parsing with Graph Convolutional Networks—0
End-to-End Learning for Structured Prediction Energy Networks—0
End-to-end learning of semantic role labeling using recurrent neural networks—0
Bootstrapping Semantic Role Labelers from Parallel Data—0
Crosslingual Induction of Semantic Roles—0
Cross-lingual Discourse Relation Analysis: A corpus study and a semi-supervised classification system—0
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All datasetsOntoNotesCoNLL 2005CoNLL05 BrownCoNLL05 WSJCoNLL12CoNLL-2009CoNLL-2012

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1HeSyFuF188.59—Unverified
2CRF2o + RoBERTaF188.32—Unverified
3MRC-SRLF188.3—Unverified
4ReCAT(pretrained on wikitext103)F188—Unverified
5SRL-MM + XLNetF187.67—Unverified
6CRF2o + BERTF187.66—Unverified
7RoBERTa+RegCCRFF187.51—Unverified
8RoBERTa+CRFF187.27—Unverified
9BiLSTM-Span (Ensemble)F187—Unverified
10BiLSTM-SpanF186.2—Unverified
#ModelMetricClaimedVerifiedStatus
1MRC-SRLF190—Unverified
2SRL-MM + XLNetF189.8—Unverified
3CRF2o + RoBERTaF189.54—Unverified
4HeSyFuF189.04—Unverified
5CRF2o + BERTF189.03—Unverified
6Mohammadshahi and Henderson (2021)F188.93—Unverified
7BiLSTM-Span (Ensemble, predicates given)F188.5—Unverified
8CRF2oF187.87—Unverified
9Li et al. (2019) (Ensemble)F187.7—Unverified
10BiLSTM-SpanF187.6—Unverified
#ModelMetricClaimedVerifiedStatus
1DeepStruct multi-task w/ finetuneF192.1—Unverified
2DeepStruct multi-taskF192—Unverified
#ModelMetricClaimedVerifiedStatus
1DeepStruct multi-taskF195.5—Unverified
2DeepStruct multi-task w/ finetuneF195.2—Unverified
#ModelMetricClaimedVerifiedStatus
1DeepStruct multi-taskF197.2—Unverified
2DeepStruct multi-task w/ finetuneF196—Unverified
#ModelMetricClaimedVerifiedStatus
1Ours (High-Order model)F1 (Arg.)90.2—Unverified
#ModelMetricClaimedVerifiedStatus
1HeSyFuAvg. F188.59—Unverified