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 376400 of 620 papers

TitleStatusHype
Multi-Predicate Semantic Role Labeling0
Multi-Sentence Argument Linking0
Multi-Task Active Learning for Neural Semantic Role Labeling on Low Resource Conversational Corpus0
Unsupervised frame based Semantic Role Induction: application to French and English0
Negation and Modality in Machine Translation0
Nerdle: Topic-Specific Question Answering Using Wikia Seeds0
Neural Headline Generation on Abstract Meaning Representation0
Unsupervised Induction of a Syntax-Semantics Lexicon Using Iterative Refinement0
Neural Network-Based Model for Japanese Predicate Argument Structure Analysis0
Unsupervised Induction of Frame-Semantic Representations0
Neural Unsupervised Semantic Role Labeling0
NiuParser: A Chinese Syntactic and Semantic Parsing Toolkit0
Aligning Opinions: Cross-Lingual Opinion Mining with Dependencies0
Not an Interlingua, But Close: Comparison of English AMRs to Chinese and Czech0
Obituary: Charles J. Fillmore0
On Amortizing Inference Cost for Structured Prediction0
On the Benefit of Syntactic Supervision for Cross-lingual Transfer in Semantic Role Labeling0
On the reliability and inter-annotator agreement of human semantic MT evaluation via HMEANT0
Open IE as an Intermediate Structure for Semantic Tasks0
Out-of-domain FrameNet Semantic Role Labeling0
Parallel Sentence Compression0
Paraphrasing Revisited with Neural Machine Translation0
Parsing Software Requirements with an Ontology-based Semantic Role Labeler0
Parsing with Compositional Vector Grammars0
Pattern Dictionary of English Prepositions0
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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