mlsanityData to 7 Oct 2026

IIITT@LT-EDI-EACL2021-Hope Speech Detection: There is always Hope in Transformers

arXiv 2104.09066 ↗First posted 19 Apr 2021cs.CLcited by 6

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Abstract (arXiv)

In a world filled with serious challenges like climate change, religious and political conflicts, global pandemics, terrorism, and racial discrimination, an internet full of hate speech, abusive and offensive content is the last thing we desire for. In this paper, we work to identify and promote positive and supportive content on these platforms. We work with several transformer-based models to classify social media comments as hope speech or not-hope speech in English, Malayalam and Tamil languages. This paper portrays our work for the Shared Task on Hope Speech Detection for Equality, Diversity, and Inclusion at LT-EDI 2021- EACL 2021.

Key facts. Cited by 6 papers in the map (data through 7 Oct 2026). Builds on 21 of its 49 references that are in the map. First posted on arXiv 19 Apr 2021.

Builds on

21 of 49 references.

References · 21

  1. 2018BERT: Pre-training of Deep Bidirectional Transformers for Language Understandingcited by 40,204
  2. 2019PyTorch: An Imperative Style, High-Performance Deep Learning Librarycited by 20,160
  3. 2019RoBERTa: A Robustly Optimized BERT Pretraining Approachcited by 13,266
  4. 2016Densely Connected Convolutional Networkscited by 6,691
  5. 2019DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lightercited by 4,243
  6. 2015Character-level Convolutional Networks for Text Classificationcited by 2,293
  7. 2018Deep contextualized word representationscited by 2,285
  8. 2016Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translationcited by 1,471
  9. 2019Cross-lingual Language Model Pretrainingcited by 1,088
  10. 2019How multilingual is Multilingual BERT?cited by 642
  11. 2015Bidirectional LSTM-CRF Models for Sequence Taggingcited by 544
  12. 2017Regularizing and Optimizing LSTM Language Modelscited by 205
9 more
  1. 2017Deep Learning for Hate Speech Detection in Tweetscited by 180
  2. 2020CharacterBERT: Reconciling ELMo and BERT for Word-Level Open-Vocabulary Representations From Characterscited by 87
  3. 2020Corpus Creation for Sentiment Analysis in Code-Mixed Tamil-English Textcited by 67
  4. 2020A Sentiment Analysis Dataset for Code-Mixed Malayalam-Englishcited by 50
  5. 2020Deep Learning Models for Multilingual Hate Speech Detectioncited by 49
  6. 2018A Unified Deep Learning Architecture for Abuse Detectioncited by 37
  7. 2020Hostility Detection Dataset in Hindicited by 31
  8. 2020Pretrained Language Model Embryology: The Birth of ALBERTcited by 30
  9. 2019Hope Speech Detection: A Computational Analysis of the Voice of Peacecited by 15

Built on by

Cited by year

Citing papers per year: 2021: 5; 2022: 1.

6 papers.

  1. 2021Hope Speech detection in under-resourced Kannada languagecited by 7
  2. 2021Offensive Language Identification in Low-resourced Code-mixed Dravidian languages using Pseudo-labelingcited by 6
  3. 2021Attentive fine-tuning of Transformers for Translation of low-resourced languages @LoResMT 2021cited by 4
  4. 2021IIITT@Dravidian-CodeMix-FIRE2021: Transliterate or translate? Sentiment analysis of code-mixed text in Dravidian languagescited by 1
  5. 2021Pegasus@Dravidian-CodeMix-HASOC2021: Analyzing Social Media Content for Detection of Offensive Textcited by 0
  6. 2022Overlapping Word Removal is All You Need: Revisiting Data Imbalance in Hope Speech Detectioncited by 0