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20032026
most citedA Multi-task Approach for Named Entity Recognition in Social Media Data

150 citations · 457 across the 69 of their papers we have counts for

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Showing 2020 · cs.CLShow all

6 papers · 2 filters

cs.CL2020

Char2Subword: Extending the Subword Embedding Space Using Robust Character Compositionality

Gustavo Aguilar, Bryan McCann, Tong Niu +3

Byte-pair encoding (BPE) is a ubiquitous algorithm in the subword tokenization process of language models as it provides multiple benefits. However, this process is solely based on…

cs.CL2020

Can images help recognize entities? A study of the role of images for Multimodal NER

Shuguang Chen, Gustavo Aguilar, Leonardo Neves +1

Multimodal named entity recognition (MNER) requires to bridge the gap between language understanding and visual context. While many multimodal neural techniques have been proposed…

cs.CL2020★ 1 cited

SemEval-2020 Task 9: Overview of Sentiment Analysis of Code-Mixed Tweets

Parth Patwa, Gustavo Aguilar, Sudipta Kar +6

In this paper, we present the results of the SemEval-2020 Task 9 on Sentiment Analysis of Code-Mixed Tweets (SentiMix 2020). We also release and describe our Hinglish (Hindi-Englis…

cs.CL2020

SemEval-2020 Task 10: Emphasis Selection for Written Text in Visual Media

Amirreza Shirani, Franck Dernoncourt, Nedim Lipka +3

In this paper, we present the main findings and compare the results of SemEval-2020 Task 10, Emphasis Selection for Written Text in Visual Media. The goal of this shared task is to…

cs.CL2020★ 4 cited

LinCE: A Centralized Benchmark for Linguistic Code-switching Evaluation

Gustavo Aguilar, Sudipta Kar, Thamar Solorio

Recent trends in NLP research have raised an interest in linguistic code-switching (CS); modern approaches have been proposed to solve a wide range of NLP tasks on multiple languag…

cs.CL2020

Let Me Choose: From Verbal Context to Font Selection

Amirreza Shirani, Franck Dernoncourt, Jose Echevarria +3

In this paper, we aim to learn associations between visual attributes of fonts and the verbal context of the texts they are typically applied to. Compared to related work leveragin…