A deep dive into applying deep learning techniques to Natural Language Processing (NLP), covering word vectors and research paper summaries.
Explains the word2vec algorithm and the famous 'king - man + woman = queen' analogy using vector arithmetic and word co-occurrences.
Explores Visual Question Answering (VQA) as an alternative Turing Test, detailing neural network approaches using Python and Keras.
A blog post sharing the author's cover letter for an internship at iHub Research, focusing on their interest in automating hate speech detection using AI and NLP.
Explains the meaning of ACL 2014 peer review scores and criteria for natural language processing papers.
Authors respond to critique of their computational linguistics paper on analyzing movie characters, discussing interdisciplinary research methods.
An intuitive, probabilistic explanation of the B3 coreference resolution metric, focusing on precision and recall calculations for clustering evaluation.
A participant's experience at Tokyo BarCamp 2009, covering discussions on mobile browsers, natural language parsing, and the hacker space movement.
