Co-occurring keywords · papers mentioning both
Papers
Intermediate N-Gramming: Deterministic and Fast N-Grams for Large N and Large Datasets
AAAI 2026
How to Synthesize Text Data without Model Collapse?
ICML 2025
Your Large Language Models are Leaving Fingerprints
COLING 2025
Target-Aware Language Modeling via Granular Data Sampling
EMNLP 2024
Implicit n-grams Induced by Recurrence
NAACL 2022
Faheem at NADI shared task: Identifying the dialect of Arabic tweet
COLING 2020
MODE-LSTM: A Parameter-efficient Recurrent Network with Multi-Scale for Sentence Classification
EMNLP 2020
Weighted combination of BERT and N-GRAM features for Nuanced Arabic Dialect Identification
COLING 2020
CECL at SemEval-2019 Task 3: Using Surface Learning for Detecting Emotion in Textual Conversations
SemEval 2019
Clark Kent at SemEval-2019 Task 4: Stylometric Insights into Hyperpartisan News Detection
SemEval 2019
MineriaUNAM at SemEval-2019 Task 5: Detecting Hate Speech in Twitter using Multiple Features in a Combinatorial Framework
SemEval 2019
MNCN: A Multilingual Ngram-Based Convolutional Network for Aspect Category Detection in Online Reviews
AAAI 2019
Densely Connected CNN with Multi-scale Feature Attention for Text Classification
IJCAI 2018
Drug-Use Identification from Tweets with Word and Character N-Grams
EMNLP 2018
Stance Detection in Fake News A Combined Feature Representation
EMNLP 2018
Tübingen-Oslo Team at the VarDial 2018 Evaluation Campaign: An Analysis of N-gram Features in Language Variety Identification
COLING 2018
Unsupervised Learning of Sentence Embeddings Using Compositional n-Gram Features
NAACL 2018
Continuous N-gram Representations for Authorship Attribution
EACL 2017
Convolutional Neural Network with Word Embeddings for Chinese Word Segmentation
IJCNLP 2017
INF-UFRGS at SemEval-2017 Task 5: A Supervised Identification of Sentiment Score in Tweets and Headlines
SemEval 2017
Character-level Convolutional Networks for Text Classification
NeurIPS 2015