News Annotation

2 papers with code • 0 benchmarks • 2 datasets

Assigning the appropriate labels to a news text based on a set of pre-defined labels.

Datasets


Most implemented papers

AttentionXML: Label Tree-based Attention-Aware Deep Model for High-Performance Extreme Multi-Label Text Classification

yourh/AttentionXML NeurIPS 2019

We propose a new label tree-based deep learning model for XMTC, called AttentionXML, with two unique features: 1) a multi-label attention mechanism with raw text as input, which allows to capture the most relevant part of text to each label; and 2) a shallow and wide probabilistic label tree (PLT), which allows to handle millions of labels, especially for "tail labels".

Automatic Annotation and Evaluation of Error Types for Grammatical Error Correction

chrisjbryant/errant ACL 2017

Until now, error type performance for Grammatical Error Correction (GEC) systems could only be measured in terms of recall because system output is not annotated.