1 |
Jibes & Delights: A Dataset of Targeted Insults and Compliments to Tackle Online Abuse ...
|
|
|
|
BASE
|
|
Show details
|
|
2 |
ViTA: Visual-Linguistic Translation by Aligning Object Tags ...
|
|
|
|
BASE
|
|
Show details
|
|
3 |
HASOCOne@FIRE-HASOC2020: Using BERT and Multilingual BERT models for Hate Speech Detection ...
|
|
|
|
BASE
|
|
Show details
|
|
4 |
Multilingual Pre-Trained Transformers and Convolutional NN Classification Models for Technical Domain Identification ...
|
|
|
|
BASE
|
|
Show details
|
|
6 |
gundapusunil at SemEval-2020 Task 9: Syntactic Semantic LSTM Architecture for SENTIment Analysis of Code-MIXed Data ...
|
|
|
|
Abstract:
The phenomenon of mixing the vocabulary and syntax of multiple languages within the same utterance is called Code-Mixing. This is more evident in multilingual societies. In this paper, we have developed a system for SemEval 2020: Task 9 on Sentiment Analysis for Code-Mixed Social Media Text. Our system first generates two types of embeddings for the social media text. In those, the first one is character level embeddings to encode the character level information and to handle the out-of-vocabulary entries and the second one is FastText word embeddings for capturing morphology and semantics. These two embeddings were passed to the LSTM network and the system outperformed the baseline model. ... : 6 pages, 2 figures ...
|
|
Keyword:
Computation and Language cs.CL; FOS Computer and information sciences
|
|
URL: https://dx.doi.org/10.48550/arxiv.2010.04395 https://arxiv.org/abs/2010.04395
|
|
BASE
|
|
Hide details
|
|
7 |
A SentiWordNet Strategy for Curriculum Learning in Sentiment Analysis ...
|
|
|
|
BASE
|
|
Show details
|
|
8 |
Word Level Language Identification in English Telugu Code Mixed Data ...
|
|
|
|
BASE
|
|
Show details
|
|
9 |
A Sentiwordnet Strategy for Curriculum Learning in Sentiment Analysis
|
|
|
|
In: Natural Language Processing and Information Systems (2020)
|
|
BASE
|
|
Show details
|
|
10 |
Conversational implicatures in English dialogue: Annotated dataset ...
|
|
|
|
BASE
|
|
Show details
|
|
11 |
BCSAT : A Benchmark Corpus for Sentiment Analysis in Telugu Using Word-level Annotations ...
|
|
|
|
BASE
|
|
Show details
|
|
12 |
Automatic Target Recovery for Hindi-English Code Mixed Puns ...
|
|
|
|
BASE
|
|
Show details
|
|
13 |
Towards Automation of Sense-type Identification of Verbs in OntoSenseNet(Telugu) ...
|
|
|
|
BASE
|
|
Show details
|
|
14 |
Towards Enhancing Lexical Resource and Using Sense-annotations of OntoSenseNet for Sentiment Analysis ...
|
|
|
|
BASE
|
|
Show details
|
|
15 |
Context and Humor: Understanding Amul advertisements of India ...
|
|
|
|
BASE
|
|
Show details
|
|
|
|