12 citations · 12 across the 5 of their papers we have counts for
6 papers
A Report on the Euphemisms Detection Shared Task
Patrick Lee, Anna Feldman, Jing Peng
This paper presents The Shared Task on Euphemism Detection for the Third Workshop on Figurative Language Processing (FigLang 2022) held in conjunction with EMNLP 2022. Participants…
Searching for PETs: Using Distributional and Sentiment-Based Methods to Find Potentially Euphemistic Terms
Patrick Lee, Martha Gavidia, Anna Feldman +1
This paper presents a linguistically driven proof of concept for finding potentially euphemistic terms, or PETs. Acknowledging that PETs tend to be commonly used expressions for a…
yosm: A new yoruba sentiment corpus for movie reviews
Iyanuoluwa Shode, David Ifeoluwa Adelani, Anna Feldman
A movie that is thoroughly enjoyed and recommended by an individual might be hated by another. One characteristic of humans is the ability to have feelings which could be positive…
Findings of the NLP4IF-2021 Shared Tasks on Fighting the COVID-19 Infodemic and Censorship Detection
Shaden Shaar, Firoj Alam, Giovanni Da San Martino +4
We present the results and the main findings of the NLP4IF-2021 shared tasks. Task 1 focused on fighting the COVID-19 infodemic in social media, and it was offered in Arabic, Bulga…
Linguistic Fingerprints of Internet Censorship: the Case of SinaWeibo
Kei Yin Ng, Anna Feldman, Jing Peng
This paper studies how the linguistic components of blogposts collected from Sina Weibo, a Chinese microblogging platform, might affect the blogposts' likelihood of being censored.…
Classifying Idiomatic and Literal Expressions Using Topic Models and Intensity of Emotions
Jing Peng, Anna Feldman, Ekaterina Vylomova
We describe an algorithm for automatic classification of idiomatic and literal expressions. Our starting point is that words in a given text segment, such as a paragraph, that are…