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 351–400 of 447 papers

TitleStatusHype
An Experimental Comparison of Active Learning Strategies for Partially Labeled Sequences—0
Revisiting Embedding Features for Simple Semi-supervised Learning—0
Feature-Frequency--Adaptive On-line Training for Fast and Accurate Natural Language Processing—0
XRCE: Hybrid Classification for Aspect-based Sentiment Analysis—0
SeemGo: Conditional Random Fields Labeling and Maximum Entropy Classification for Aspect Based Sentiment Analysis—0
USF: Chunking for Aspect-term Identification \& Polarity Classification—0
Jargon-Term Extraction by Chunking—0
RelAgent: Entity Detection and Normalization for Diseases in Clinical Records: a Linguistically Driven Approach—0
Substitute Based SCODE Word Embeddings in Supervised NLP TasksCode0
Can we chunk well with bad POS labels? (Peut-on bien chunker avec de mauvaises \'etiquettes POS ?) [in French]—0
Learning to Predict Distributions of Words Across Domains—0
A Recursive Recurrent Neural Network for Statistical Machine Translation—0
Tailoring Continuous Word Representations for Dependency Parsing—0
How much do word embeddings encode about syntax?—0
Application of Prize based on Sentence Length in Chunk-based Automatic Evaluation of Machine Translation—0
Chunking Clinical Text Containing Non-Canonical Language—0
Transforming trees into hedges and parsing with ``hedgebank'' grammars—0
Named Entity Tagging a Very Large Unbalanced Corpus: Training and Evaluating NE Classifiers—0
MADAMIRA: A Fast, Comprehensive Tool for Morphological Analysis and Disambiguation of Arabic—0
Information Extraction from German Patient Records via Hybrid Parsing and Relation Extraction Strategies—0
ClearTK 2.0: Design Patterns for Machine Learning in UIMA—0
Use of unsupervised word classes for entity recognition: Application to the detection of disorders in clinical reports—0
Painless Semi-Supervised Morphological Segmentation using Conditional Random Fields—0
Morfessor 2.0: Toolkit for statistical morphological segmentation—0
Word Embeddings through Hellinger PCA—0
Bootstrapping a historical commodities lexicon with SKOS and DBpedia—0
Learning part-of-speech taggers with inter-annotator agreement loss—0
Passive-Aggressive Sequence Labeling with Discriminative Post-Editing for Recognising Person Entities in Tweets—0
Discriminative Lexical Semantic Segmentation with Gaps: Running the MWE Gamut—0
Factorial Hidden Markov Models for Learning Representations of Natural Language—0
A Quantitative Comparative Study of Prosodic and Discourse Units, the Case of French and Taiwan Mandarin—0
Information Compression, Intelligence, Computing, and Mathematics—0
Modeling and Learning Semantic Co-Compositionality through Prototype Projections and Neural Networks—0
Structured Penalties for Log-Linear Language Models—0
Feature-based Neural Language Model and Chinese Word Segmentation—0
Incremental Segmentation and Decoding Strategies for Simultaneous Translation—0
Capturing Long-distance Dependencies in Sequence Models: A Case Study of Chinese Part-of-speech Tagging—0
Effect of Non-linear Deep Architecture in Sequence Labeling—0
The AI-KU System at the SPMRL 2013 Shared Task : Unsupervised Features for Dependency ParsingCode0
An Online Algorithm for Learning over Constrained Latent Representations using Multiple Views—0
What Information is Helpful for Dependency Based Semantic Role Labeling—0
Efficient Higher-Order CRFs for Morphological Tagging—0
Bayesian Induction of Bracketing Inversion Transduction Grammars—0
Malayalam Clause Boundary Identifier: Annotation and Evaluation—0
A Boosting-based Algorithm for Classification of Semi-Structured Text using the Frequency of Substructures—0
How Symbolic Learning Can Help Statistical Learning (and vice versa)—0
Segmenting vs. Chunking Rules: Unsupervised ITG Induction via Minimum Conditional Description Length—0
Crowd Prefers the Middle Path: A New IAA Metric for Crowdsourcing Reveals Turker Biases in Query Segmentation—0
Learning to lemmatise Polish noun phrases—0
GuiTAR-based Pronominal Anaphora Resolution in Bengali—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