Title :
Interpreting or Describing? Measuring Verb Abstraction
Author :
Rogozinska, Dominika ; Wawer, Aleksander
Author_Institution :
Inst. of Comput. Sci., Warsaw, Poland
Abstract :
The paper describes the results of machine learning experiments with verb classification according to the Linguistic Category Model (LCM). The LCM typology is a well-established tool to measure language abstraction, linked to sentiment and applicable in sentiment-analysis related areas. Our goal is to create automated methods of recognizing LCM verb classes. The method, demonstrated in the Polish language, turns out to be very promising, especially given the upper bounds set by inter-annotator agreement.
Keywords :
learning (artificial intelligence); linguistics; natural language processing; LCM typology; Polish language; interannotator agreement; language abstraction; linguistic category model; machine learning experiment; verb abstraction; verb classification; Abstracts; Context; Feature extraction; Pragmatics; Semantics; Syntactics; Taxonomy; language abstraction; linguistic category model;
Conference_Titel :
Data Mining Workshops (ICDMW), 2013 IEEE 13th International Conference on
Conference_Location :
Dallas, TX
Print_ISBN :
978-1-4799-3143-9
DOI :
10.1109/ICDMW.2013.92
