Search Results for author:
Found 4 papers, 1 papers with code
Adaptive Cross-lingual Text Classification through In-Context One-Shot Demonstrations
Zero-Shot Cross-lingual Transfer (ZS-XLT) utilizes a model trained in a source language to make predictions in another language, often with a performance loss.
Modeling Noisiness to Recognize Named Entities using Multitask Neural Networks on Social Media
Our systems outperform the current F1 scores of the state of the art on the Workshop on Noisy User-generated Text 2017 dataset by 2. 45% and 3. 69%, establishing a more suitable approach for social media environments.
Ranked #17 on
Named Entity Recognition (NER)
on WNUT 2017
A visual approach for age and gender identification on Twitter
The goal of Author Profiling (AP) is to identify demographic aspects (e. g., age, gender) from a given set of authors by analyzing their written texts.
MPST: A Corpus of Movie Plot Synopses with Tags
In this paper, we set out to the task of collecting a corpus of movie plot synopses and tags.
