Search Results for author:
Found 4 papers, 0 papers with code
Sentimental Poetry Generation
The paper investigates how well poetry can be generated to contain a specific sentiment, and whether readers of the poetry experience the intended sentiment.
Native-Language Identification with Attention
The paper explores how an attention-based approach can increase performance on the task of native-language identification (NLI), i. e., to identify an author’s first language given information expressed in a second language.
Using Transfer-based Language Models to Detect Hateful and Offensive Language Online
Distinguishing hate speech from non-hate offensive language is challenging, as hate speech not always includes offensive slurs and offensive language not always express hate.
SemEval-2020 Task 9: Overview of Sentiment Analysis of Code-Mixed Tweets
In this paper, we present the results of the SemEval-2020 Task 9 on Sentiment Analysis of Code-Mixed Tweets (SentiMix 2020).
