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 301–350 of 447 papers

TitleStatusHype
Graph- and surface-level sentence chunking—0
Deep multi-task learning with low level tasks supervised at lower layers—0
Incorporating Relational Knowledge into Word Representations using Subspace Regularization—0
Coreference Resolution for the Basque Language with BART—0
IKE - An Interactive Tool for Knowledge Extraction—0
DTSim at SemEval-2016 Task 1: Semantic Similarity Model Including Multi-Level Alignment and Vector-Based Compositional Semantics—0
Inspire at SemEval-2016 Task 2: Interpretable Semantic Textual Similarity Alignment based on Answer Set Programming—0
iUBC at SemEval-2016 Task 2: RNNs and LSTMs for interpretable STS—0
DTSim at SemEval-2016 Task 2: Interpreting Similarity of Texts Based on Automated Chunking, Chunk Alignment and Semantic Relation Prediction—0
Dependency Based Embeddings for Sentence Classification Tasks—0
Scaling Up Word Clustering—0
Learning Distributed Word Representations For Bidirectional LSTM Recurrent Neural Network—0
Recurrent Support Vector Machines For Slot Tagging In Spoken Language Understanding—0
Weak Semi-Markov CRFs for Noun Phrase Chunking in Informal Text—0
BIRA: Improved Predictive Exchange Word ClusteringCode0
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
Domain Adaptation with Filtering for Named Entity Extraction of Japanese Anime-Related Words—0
Evaluation of Word Vector Representations by Subspace AlignmentCode0
Joint Entity Recognition and Disambiguation—0
Hierarchical Recurrent Neural Network for Document Modeling—0
Bidirectional LSTM-CRF Models for Sequence TaggingCode0
Evaluating distributed word representations for capturing semantics of biomedical concepts—0
Sequential Annotation and Chunking of Chinese Discourse Structure—0
Counting What Counts: Decompounding for Keyphrase Extraction—0
Linguistic Knowledge-driven Approach to Chinese Comparative Elements Extraction—0
A CRF Method of Identifying Prepositional Phrases in Chinese Patent Texts—0
Boosting Named Entity Recognition with Neural Character Embeddings—0
Big Data Small Data, In Domain Out-of Domain, Known Word Unknown Word: The Impact of Word Representations on Sequence Labelling Tasks—0
On the Importance of Ezafe Construction in Persian Parsing—0
Learning Lexical Embeddings with Syntactic and Lexicographic Knowledge—0
NiuParser: A Chinese Syntactic and Semantic Parsing Toolkit—0
Learning Hidden Markov Models with Distributed State Representations for Domain Adaptation—0
Negation and Speculation Identification in Chinese Language—0
Strat\'egies de s\'election des exemples pour l'apprentissage actif avec des champs al\'eatoires conditionnels—0
Relation Extraction: Perspective from Convolutional Neural Networks—0
Semantic Annotation of Japanese Functional Expressions and its Impact on Factuality Analysis—0
Bilingual Word Representations with Monolingual Quality in Mind—0
NeRoSim: A System for Measuring and Interpreting Semantic Textual Similarity—0
Duluth: Word Sense Discrimination in the Service of Lexicography—0
Lean Question Answering over Freebase from Scratch—0
Boosting Named Entity Recognition with Neural Character Embeddings—0
Big Data Small Data, In Domain Out-of Domain, Known Word Unknown Word: The Impact of Word Representation on Sequence Labelling Tasks—0
Preserving Trees in Minimal Automata—0
PaCMan : Parallel Corpus Management Workbench—0
Manipuri Chunking: An Incremental Model with POS and RMWE—0
Visual Chunking: A List Prediction Framework for Region-Based Object Detection—0
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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