TAG
262 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
Masked Conditional Random Fields for Sequence Labeling
DandyQi/MaskedCRF
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NAACL 2021
Conditional Random Field (CRF) based neural models are among the most performant methods for solving sequence labeling problems.
WarpDrive: Extremely Fast End-to-End Deep Multi-Agent Reinforcement Learning on a GPU
We present WarpDrive, a flexible, lightweight, and easy-to-use open-source RL framework that implements end-to-end deep multi-agent RL on a single GPU (Graphics Processing Unit), built on PyCUDA and PyTorch.
Correlation Networks for Extreme Multi-label Text Classification
XunGuangxu/CorNet
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Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining 2022
This paper develops the Correlation Networks (CorNet) architecture for the extreme multi-label text classification (XMTC) task, where the objective is to tag an input text sequence with the most relevant subset of labels from an extremely large label set.
Toward Universal Text-to-Music Retrieval
seungheondoh/music-text-representation
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This paper introduces effective design choices for text-to-music retrieval systems.
Harnessing Explanations: LLM-to-LM Interpreter for Enhanced Text-Attributed Graph Representation Learning
XiaoxinHe/TAPE
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With the advent of powerful large language models (LLMs) such as GPT or Llama2, which demonstrate an ability to reason and to utilize general knowledge, there is a growing need for techniques which combine the textual modelling abilities of LLMs with the structural learning capabilities of GNNs.
Political Speech Generation
Furthermore, we present a manual and an automated approach to evaluate the quality of generated speeches.
Unsupervised Neural Hidden Markov Models
In this work, we present the first results for neuralizing an Unsupervised Hidden Markov Model.
Recurrent Neural Network based Part-of-Speech Tagger for Code-Mixed Social Media Text
This paper describes Centre for Development of Advanced Computing's (CDACM) submission to the shared task-'Tool Contest on POS tagging for Code-Mixed Indian Social Media (Facebook, Twitter, and Whatsapp) Text', collocated with ICON-2016.
Deep Active Learning for Named Entity Recognition
tonygsw/Joint-Extraction-of-Entities-and-Relations-Based-on-a-Novel-Tagging-Scheme
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WS 2017
In this work, we demonstrate that the amount of labeled training data can be drastically reduced when deep learning is combined with active learning.
Using Posters to Recommend Anime and Mangas in a Cold-Start Scenario
mangaki/balse
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Item cold-start is a classical issue in recommender systems that affects anime and manga recommendations as well.
