Textual Analogy Parsing

1 papers with code · Natural Language Processing

Textual Analogy Parsing (TAP) is the task of identifying analogy frames from text.

( Image credit: Textual Analogy Parsing: What’s Shared and What’s Compared among Analogous Facts )

Leaderboards

No evaluation results yet. Help compare methods by submit evaluation metrics.

Greatest papers with code

Textual Analogy Parsing: What's Shared and What's Compared among Analogous Facts

EMNLP 2018 leduoyang/IRIE_project_2018_relation_extraction

To understand a sentence like "whereas only 10% of White Americans live at or below the poverty line, 28% of African Americans do" it is important not only to identify individual facts, e. g., poverty rates of distinct demographic groups, but also the higher-order relations between them, e. g., the disparity between them.

TEXTUAL ANALOGY PARSING