SOTAVerified

Chunking

Chunking, also known as shallow parsing, identifies continuous spans of tokens that form syntactic units such as noun phrases or verb phrases.

Example:

| Vinken | , | 61 | years | old | | --- | ---| --- | --- | --- | | B-NLP| I-NP | I-NP | I-NP | I-NP |

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 301–325 of 447 papers

TitleStatusHype
Segment-Level Sequence Modeling using Gated Recursive Semi-Markov Conditional Random Fields—0
Incorporating Relational Knowledge into Word Representations using Subspace Regularization—0
Decomposing Bilexical Dependencies into Semantic and Syntactic Vectors—0
Recurrent Support Vector Machines For Slot Tagging In Spoken Language Understanding—0
DTSim at SemEval-2016 Task 1: Semantic Similarity Model Including Multi-Level Alignment and Vector-Based Compositional Semantics—0
Learning Distributed Word Representations For Bidirectional LSTM Recurrent Neural Network—0
Dependency Based Embeddings for Sentence Classification Tasks—0
DTSim at SemEval-2016 Task 2: Interpreting Similarity of Texts Based on Automated Chunking, Chunk Alignment and Semantic Relation Prediction—0
iUBC at SemEval-2016 Task 2: RNNs and LSTMs for interpretable STS—0
Coreference Resolution for the Basque Language with BART—0
Inspire at SemEval-2016 Task 2: Interpretable Semantic Textual Similarity Alignment based on Answer Set Programming—0
BIRA: Improved Predictive Exchange Word ClusteringCode0
IKE - An Interactive Tool for Knowledge Extraction—0
Weak Semi-Markov CRFs for Noun Phrase Chunking in Informal Text—0
Scaling Up Word Clustering—0
South African Language Resources: Phrase Chunking—0
Multi-Task Cross-Lingual Sequence Tagging from Scratch—0
Noun Phrase Chunking for Marathi using Distant Supervision—0
A Unified Tagging Solution: Bidirectional LSTM Recurrent Neural Network with Word Embedding—0
The influence of Chunking on Dependency Crossing and Distance—0
Hierarchical Recurrent Neural Network for Document Modeling—0
Evaluation of Word Vector Representations by Subspace AlignmentCode0
Joint Entity Recognition and Disambiguation—0
Domain Adaptation with Filtering for Named Entity Extraction of Japanese Anime-Related Words—0
Bidirectional LSTM-CRF Models for Sequence TaggingCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ACEExact Span F197.3—Unverified
2BERT-CRF (Replicated in AdaSeq)Exact Span F197.18—Unverified
3ELMo + MAT + Multi-TaskExact Span F197.04—Unverified
4CVT+Multi-Task+LargeExact Span F196.98—Unverified
5ELMo + Multi-TaskExact Span F196.83—Unverified
6FlairExact Span F196.72—Unverified
7SeqVATExact Span F195.45—Unverified
8Adversarial TrainingExact Span F195.25—Unverified
9BiLSTM-CRFExact Span F195.18—Unverified
#ModelMetricClaimedVerifiedStatus
1ACEF1 score97.3—Unverified
2Flair embeddingsF1 score96.72—Unverified
3JMTF1 score95.77—Unverified
4Low supervisionF1 score95.57—Unverified
5IntNet + BiLSTM-CRFF1 score95.29—Unverified
6Suzuki and IsozakiF1 score95.15—Unverified
7NCRF++F1 score95.06—Unverified
8BI-LSTM-CRF (Senna) (ours)F1 score94.46—Unverified
#ModelMetricClaimedVerifiedStatus
1ACEF195—Unverified
2Wang et al., 2020F194.4—Unverified
3AINF194.04—Unverified
#ModelMetricClaimedVerifiedStatus
1Wang et al., 2020F192—Unverified
2AINF191.71—Unverified
#ModelMetricClaimedVerifiedStatus
1Def2VecAUC93.07—Unverified