DocumentCode
3439463
Title
Interpreting or Describing? Measuring Verb Abstraction
Author
Rogozinska, Dominika ; Wawer, Aleksander
Author_Institution
Inst. of Comput. Sci., Warsaw, Poland
fYear
2013
fDate
7-10 Dec. 2013
Firstpage
963
Lastpage
966
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Data Mining Workshops (ICDMW), 2013 IEEE 13th International Conference on
Conference_Location
Dallas, TX
Print_ISBN
978-1-4799-3143-9
Type
conf
DOI
10.1109/ICDMW.2013.92
Filename
6754026
Link To Document