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 326–350 of 620 papers

TitleStatusHype
KeLP: a Kernel-based Learning Platform for Natural Language Processing—0
Key2Vec: Automatic Ranked Keyphrase Extraction from Scientific Articles using Phrase Embeddings—0
Knowledge Graph Anchored Information-Extraction for Domain-Specific Insights—0
Knowledge Representation and Extraction at Scale—0
KOI at SemEval-2018 Task 5: Building Knowledge Graph of Incidents—0
Korean FrameNet Expansion Based on Projection of Japanese FrameNet—0
Korean Treebank Transformation for Parser Training—0
KrakeN: N-ary Facts in Open Information Extraction—0
K-SRL: Instance-based Learning for Semantic Role Labeling—0
UMCC\_DLSI: Textual Similarity based on Lexical-Semantic features—0
Langforia: Language Pipelines for Annotating Large Collections of Documents—0
Language Identification and Named Entity Recognition in Hinglish Code Mixed Tweets—0
Language Processing Infrastructure in the XLike Project—0
Um reposit\'orio de verbos para a anota \~ao de pap\'eis sem\^anticos dispon\' na web (A Verb Repository for Semantic Role Labeling Available in the Web) [in Portuguese]—0
Latent Structure Perceptron with Feature Induction for Unrestricted Coreference Resolution—0
Learning Disentangled Representations in Natural Language Definitions with Semantic Role Labeling Supervision—0
Learning Hidden Markov Models with Distributed State Representations for Domain Adaptation—0
Understanding the Semantics of Narratives of Interpersonal Violence through Reader Annotations and Physiological Reactions—0
Legal NERC with ontologies, Wikipedia and curriculum learning—0
XLike Project Language Analysis Services—0
Leveraging VerbNet to build Corpus-Specific Verb Clusters—0
LIMIT-BERT : Linguistic Informed Multi-Task BERT—0
Adapting VerbNet to French using existing resources—0
A Bayesian Approach to Unsupervised Semantic Role Induction—0
Linguistically-Informed Self-Attention for Semantic Role Labeling—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