TAG
280 papers with code • 2 benchmarks • 2 datasets
Benchmarks
These leaderboards are used to track progress in TAG
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Libraries
Use these libraries to find TAG models and implementations
MNIST
Universal Dependencies
Most implemented papers
Bidirectional LSTM-CRF Models for Sequence Tagging
It can also use sentence level tag information thanks to a CRF layer.
MULAN: Multitask Universal Lesion Analysis Network for Joint Lesion Detection, Tagging, and Segmentation
When reading medical images such as a computed tomography (CT) scan, radiologists generally search across the image to find lesions, characterize and measure them, and then describe them in the radiological report.
Temporal Action Detection with Structured Segment Networks
open-mmlab/mmaction
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ICCV 2017
Detecting actions in untrimmed videos is an important yet challenging task.
Encode, Tag, Realize: High-Precision Text Editing
google-research/lasertagger
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IJCNLP 2019
We propose LaserTagger - a sequence tagging approach that casts text generation as a text editing task.
Metadata Embeddings for User and Item Cold-start Recommendations
I present a hybrid matrix factorisation model representing users and items as linear combinations of their content features' latent factors.
LiDARTag: A Real-Time Fiducial Tag System for Point Clouds
Because of the LiDAR sensors' nature, rapidly changing ambient lighting will not affect the detection of a LiDARTag; hence, the proposed fiducial marker can operate in a completely dark environment.
LINSPECTOR: Multilingual Probing Tasks for Word Representations
We present a reusable methodology for creation and evaluation of such tests in a multilingual setting.
Nested Named Entity Recognition via Second-best Sequence Learning and Decoding
yahshibu/nested-ner-tacl2020-transformers
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When an entity name contains other names within it, the identification of all combinations of names can become difficult and expensive.
Toward Tag-free Aspect Based Sentiment Analysis: A Multiple Attention Network Approach
qiangyao1988/Toward-tag-free-ABSA
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Existing aspect based sentiment analysis (ABSA) approaches leverage various neural network models to extract the aspect sentiments via learning aspect-specific feature representations.
GECToR -- Grammatical Error Correction: Tag, Not Rewrite
In this paper, we present a simple and efficient GEC sequence tagger using a Transformer encoder.
