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 501–525 of 620 papers

TitleStatusHype
Language Processing Infrastructure in the XLike Project—0
Image Annotation with ISO-Space: Distinguishing Content from Structure—0
Post-hoc Manipulations of Vector Space Models with Application to Semantic Role Labeling—0
XLike Project Language Analysis Services—0
Some Issues on the Normalization of a Corpus of Products Reviews in Portuguese—0
A System for Building FrameNet-like Corpus for the Biomedical Domain—0
Encoding of Compounds in Swedish FrameNet—0
First steps towards a Predicate Matrix—0
Textual Inference and Meaning Representation in Human Robot Interaction—0
Computational Frameworks for Supporting Textual Inference—0
Deep Learning for Chinese Word Segmentation and POS Tagging—0
Predicate Argument Structure Analysis using Partially Annotated Corpora—0
Using Shallow Semantic Parsing and Relation Extraction for Finding Contradiction in Text—0
Detection of Product Comparisons - How Far Does an Out-of-the-Box Semantic Role Labeling System Take You?—0
Modeling and Learning Semantic Co-Compositionality through Prototype Projections and Neural Networks—0
MCTest: A Challenge Dataset for the Open-Domain Machine Comprehension of Text—0
Deriving Adjectival Scales from Continuous Space Word Representations—0
Effectiveness and Efficiency of Open Relation Extraction—0
Feature-based Neural Language Model and Chinese Word Segmentation—0
What Information is Helpful for Dependency Based Semantic Role Labeling—0
Exploiting Zero Pronouns to Improve Chinese Coreference Resolution—0
A Study on Bootstrapping Bilingual Vector Spaces from Non-Parallel Data (and Nothing Else)—0
Expanding VerbNet with Sketch Engine—0
Unsupervised structured semantic inference for spoken dialog reservation tasks—0
From Natural Language Specifications to Program Input Parsers—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