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 351–375 of 620 papers

TitleStatusHype
Intrinsic Evaluations of Word Embeddings: What Can We Do Better?—0
Whodunit... and to Whom? Subjects, Objects, and Actions in Research Articles on American Labor Unions—0
Phrase Representations for Multiword Expressions—0
Decomposing Bilexical Dependencies into Semantic and Syntactic Vectors—0
An incremental model of syntactic bootstrapping—0
Annotating the Little Prince with Chinese AMRs—0
Evaluating Inter-Annotator Agreement on Historical Spelling Normalization—0
Leveraging VerbNet to build Corpus-Specific Verb Clusters—0
context2vec: Learning Generic Context Embedding with Bidirectional LSTM—0
Implicit Semantic Roles in a Multilingual Setting—0
Supersense Embeddings: A Unified Model for Supersense Interpretation, Prediction, and Utilization—0
Multiplicative Representations for Unsupervised Semantic Role Induction—0
POLYGLOT: Multilingual Semantic Role Labeling with Unified Labels—0
Neural Network-Based Model for Japanese Predicate Argument Structure Analysis—0
Annotating and Predicting Non-Restrictive Noun Phrase Modifications—0
A Data-Driven Approach for Semantic Role Labeling from Induced Grammar Structures in Language—0
Situation Recognition: Visual Semantic Role Labeling for Image UnderstandingCode0
Demonyms and Compound Relational Nouns in Nominal Open IECode0
How can NLP Tasks Mutually Benefit Sentiment Analysis? A Holistic Approach to Sentiment Analysis—0
Cross-lingual alignment transfer: a chicken-and-egg story?—0
Enriching Wikidata with Frame Semantics—0
An Hymn of an even Deeper Sentiment Analysis—0
Multimodal Use of an Upper-Level Event Ontology—0
UTA DLNLP at SemEval-2016 Task 12: Deep Learning Based Natural Language Processing System for Clinical Information Identification from Clinical Notes and Pathology Reports—0
ICL-HD at SemEval-2016 Task 8: Meaning Representation Parsing - Augmenting AMR Parsing with a Preposition Semantic Role Labeling Neural Network—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