paper-with-me

홈 › Papers

SentMix-3L: A Bangla-English-Hindi Code-Mixed Dataset for Sentiment Analysis

2023-10-27 · Md Nishat Raihan, Dhiman Goswami, Antara Mahmud, Antonios Anastasopoulos, Marcos Zampieri

Code-mixing is a well-studied linguistic phenomenon when two or more languages are mixed in text or speech. Several datasets have been build with the goal of training computational models for code-mixing. Although it is very common to observe code-mixing with multiple languages, most datasets available contain code-mixed between only two languages. In this paper, we introduce SentMix-3L, a novel dataset for sentiment analysis containing code-mixed data between three languages Bangla, English, and Hindi. We carry out a comprehensive evaluation using SentMix-3L. We show that zero-shot prompting with GPT-3.5 outperforms all transformer-based models on SentMix-3L.

📄 PDF Abstract BibTeX arXiv:2310.18023

Code (1)

LanguageTechnologyLab/SentMix-3L 공식 구현

Tasks

Sentiment Analysis

Methods 이 논문이 사용한 방법론

Multi-Head Attention 설명 없음
15 Ways to Contact How can i speak to someone at Delta Airlines 설명 없음
Attention 설명 없음
Cosine Annealing Cosine Annealing is a type of learning rate schedule that has the effect of starting with a large learning rate that is relatively rapidly decreased to a minimum value before…
{Dispute@FaQ-s}How to file a dispute with Expedia? How to file a dispute with Expedia? To file a complaint against Expedia, first try contacting their customer service directly. You can reach them by phone at…
BPE Byte Pair Encoding, or BPE, is a subword segmentation algorithm that encodes rare and unknown words as sequences of subword units. The intuition is that various word…
Weight Decay 설명 없음
Softmax The Softmax output function transforms a previous layer's output into a vector of probabilities. It is commonly used for multiclass classification. Given an input vector $x$…

Similar Papers 제목 키워드 기반

Mixed-Distil-BERT: Code-mixed Language Modeling for Bangla, English, and Hindi

2023-09-19 · Md Nishat Raihan, Dhiman Goswami, Antara Mahmud

One of the most popular downstream tasks in the field of Natural Language Processing is text classification. Text classification tasks have become more daunting when the texts are code-mixed. Though they are not exposed …

Language ModelingLanguage Modellingtext-classificationText Classification+1

BnSentMix: A Diverse Bengali-English Code-Mixed Dataset for Sentiment Analysis

2024-08-16 · Sadia Alam, Md Farhan Ishmam, Navid Hasin Alvee, Md Shahnewaz Siddique 외

The widespread availability of code-mixed data can provide valuable insights into low-resource languages like Bengali, which have limited datasets. Sentiment analysis has been a fundamental text classification task acros…

DiversitySentiment AnalysisSentiment Classificationtext-classification+1

EmoMix-3L: A Code-Mixed Dataset for Bangla-English-Hindi Emotion Detection

2024-05-11 · Nishat Raihan, Dhiman Goswami, Antara Mahmud, Antonios Anastasopoulos 외

Code-mixing is a well-studied linguistic phenomenon that occurs when two or more languages are mixed in text or speech. Several studies have been conducted on building datasets and performing downstream NLP tasks on code…

OffMix-3L: A Novel Code-Mixed Dataset in Bangla-English-Hindi for Offensive Language Identification

2023-10-27 · Dhiman Goswami, Md Nishat Raihan, Antara Mahmud, Antonios Anastasopoulos 외

Code-mixing is a well-studied linguistic phenomenon when two or more languages are mixed in text or speech. Several works have been conducted on building datasets and performing downstream NLP tasks on code-mixed data. A…

Language Identification

Aggression Identification in English, Hindi and Bangla Text using BERT, RoBERTa and SVM

2020-05-01 · LREC 2020 5 · Arup Baruah, Kaushik Das, Ferdous Barbhuiya, Kuntal Dey

This paper presents the results of the classifiers we developed for the shared tasks in aggression identification and misogynistic aggression identification. These two shared tasks were held as part of the second worksho…

Aggression IdentificationMisogynistic Aggression Identification