no code implementations • LREC 2012 • Ver{\'o}nica P{\'e}rez-Rosas, Carmen Banea, Rada Mihalcea
In this paper we present a framework to derive sentiment lexicons in a target language by using manually or automatically annotated data available in an electronic resource rich language, such as English.
no code implementations • SEMEVAL 2015 • Eneko Agirre, Carmen Banea, Claire Cardie, Daniel Cer, Mona Diab, Aitor Gonzalez-Agirre, Weiwei Guo, I{\~n}igo Lopez-Gazpio, Montse Maritxalar, Rada Mihalcea, German Rigau, Larraitz Uria, Janyce Wiebe
no code implementations • LREC 2016 • Carmen Banea, Xi Chen, Rada Mihalcea
Just as industrialization matured from mass production to customization and personalization, so has the Web migrated from generic content to public disclosures of one{'}s most intimately held thoughts, opinions and beliefs.
no code implementations • EMNLP 2017 • Aparna Garimella, Carmen Banea, Rada Mihalcea
Variations of word associations across different groups of people can provide insights into people{'}s psychologies and their world views.
no code implementations • ACL 2019 • Aparna Garimella, Carmen Banea, Dirk Hovy, Rada Mihalcea
Several linguistic studies have shown the prevalence of various lexical and grammatical patterns in texts authored by a person of a particular gender, but models for part-of-speech tagging and dependency parsing have still not adapted to account for these differences.
no code implementations • 31 May 2020 • Aparna Garimella, Carmen Banea, Nabil Hossain, Rada Mihalcea
The subjective nature of humor makes computerized humor generation a challenging task.
no code implementations • COLING 2020 • Aparna Garimella, Carmen Banea, Nabil Hossain, Rada Mihalcea
The subjective nature of humor makes computerized humor generation a challenging task.
no code implementations • Asian Chapter of the Association for Computational Linguistics 2020 • Laura Biester, Carmen Banea, Rada Mihalcea
Word embedding methods have become the de-facto way to represent words, having been successfully applied to a wide array of natural language processing tasks.