activity
20182024
most citedA Multi-task Approach for Named Entity Recognition in Social Media Data

150 citations · 261 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CL2024★ 24 cited

DAIC-WOZ: On the Validity of Using the Therapist's prompts in Automatic Depression Detection from Clinical Interviews

Sergio Burdisso, Ernesto Reyes-Ramírez, Esaú Villatoro-Tello +3

Automatic depression detection from conversational data has gained significant interest in recent years. The DAIC-WOZ dataset, interviews conducted by a human-controlled virtual ag…

cs.CL2019★ 150 cited

A Multi-task Approach for Named Entity Recognition in Social Media Data

Gustavo Aguilar, Suraj Maharjan, Adrian Pastor López-Monroy +1

Named Entity Recognition for social media data is challenging because of its inherent noisiness. In addition to improper grammatical structures, it contains spelling inconsistencie…

cs.CL2019★ 53 cited

Modeling Noisiness to Recognize Named Entities using Multitask Neural Networks on Social Media

Gustavo Aguilar, A. Pastor López-Monroy, Fabio A. González +1

Recognizing named entities in a document is a key task in many NLP applications. Although current state-of-the-art approaches to this task reach a high performance on clean text (e…

cs.CL2018★ 15 cited

A visual approach for age and gender identification on Twitter

Miguel A. Alvarez-Carmona, Luis Pellegrin, Manuel Montes-y-Gómez +5

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. Recently, the AP task has gai…

cs.CL2018★ 19 cited

MPST: A Corpus of Movie Plot Synopses with Tags

Sudipta Kar, Suraj Maharjan, A. Pastor López-Monroy +1

Social tagging of movies reveals a wide range of heterogeneous information about movies, like the genre, plot structure, soundtracks, metadata, visual and emotional experiences. Su…