# Sentiment Tagging with Partial Labels using Modular Architectures

arXiv: https://arxiv.org/abs/1906.00534 · HTML: https://mlsanity.com/paper/1906.00534/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 3 Jun 2019.

## Built on by (most cited first, 1 of 1)

- [TraceNet: Tracing and Locating the Key Elements in Sentiment Analysis](https://mlsanity.com/paper/2202.13812/) (2022)

## Abstract (arXiv)

Many NLP learning tasks can be decomposed into several distinct sub-tasks, each associated with a partial label. In this paper we focus on a popular class of learning problems, sequence prediction applied to several sentiment analysis tasks, and suggest a modular learning approach in which different sub-tasks are learned using separate functional modules, combined to perform the final task while sharing information. Our experiments show this approach helps constrain the learning process and can alleviate some of the supervision efforts.