Categorizing Comparative Sentences

Code

• github.com/uhh-lt/comparative
  OfficialIn papernone★ 0
• github.com/zyli93/saecon
  pytorch★ 4
• github.com/ablx/comparative-arguments-thesis
  none★ 0

Abstract

We tackle the tasks of automatically identifying comparative sentences and categorizing the intended preference (e.g., "Python has better NLP libraries than MATLAB" => (Python, better, MATLAB). To this end, we manually annotate 7,199 sentences for 217 distinct target item pairs from several domains (27% of the sentences contain an oriented comparison in the sense of "better" or "worse"). A gradient boosting model based on pre-trained sentence embeddings reaches an F1 score of 85% in our experimental evaluation. The model can be used to extract comparative sentences for pro/con argumentation in comparative / argument search engines or debating technologies.

Tasks

Reproductions