Sarcasm Detection with Transformers: A Cautionary Tale
Learn how dataset bias can lead to misleading results in NLP: a sarcasm detection model that actually learned to …
Natural Language Processing
Analytical Model of Word2Vec and GloVe Statistics
Analytical model of Word2Vec and GloVe statistics. First analytical solution to Word2Vec's softmax skip-gram with bias …...
EigenNoise: Data-Free Word Vector Initialization
Investigation into EigenNoise, a data-free initialization scheme for word vectors that approaches pre-trained model …...
Data-Driven WordNet Construction from Wiktionary
Explores a data-driven approach to construct a WordNet-like semantic network using the entirety of the noisy, …...
QuAC: Question Answering in Context Dataset
Analysis of QuAC's conversational QA through student-teacher interactions, featuring 100K+ context-dependent questions …
CoQA Dataset: Advancing Conversational Question Answering
Analysis of CoQA, a conversational QA dataset with multi-turn dialogue, coreference resolution, and natural answers for …
Count Vectorization with scikit-learn in Python
Learn count vectorization in Python: convert text to numerical vectors using scikit-learn's CountVectorizer with …
Word Embeddings in NLP: An Introduction
Learn about word embeddings in NLP: from basic one-hot encoding to contextual models like ELMo. Guide with examples.