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Found 5 papers, 3 papers with code
Sensing Ambiguity in Henry James' "The Turn of the Screw"
This work brings together computational text analysis and literary analysis to demonstrate the extent to which ambiguity in certain texts plays a key role in shaping meaning and thus requires analysis rather than elimination.
Lessons Learned from Applying off-the-shelf BERT: There is no Silver Bullet
One of the challenges in the NLP field is training large classification models, a task that is both difficult and tedious.
Implicit Dimension Identification in User-Generated Text with LSTM Networks
In the process of online storytelling, individual users create and consume highly diverse content that contains a great deal of implicit beliefs and not plainly expressed narrative.
Choosing the Right Word: Using Bidirectional LSTM Tagger for Writing Support Systems
We use a bidirectional Recurrent Neural Network (RNN) with LSTM for learning the proper word choice based on a word's sentential context.
Language Models with Pre-Trained (GloVe) Word Embeddings
In this work we implement a training of a Language Model (LM), using Recurrent Neural Network (RNN) and GloVe word embeddings, introduced by Pennigton et al. in [1].
