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Found 5 papers, 2 papers with code
Multi Document Reading Comprehension
Reading Comprehension (RC) is a task of answering a question from a given passage or a set of passages.
A Comparative Study of Transformers on Word Sense Disambiguation
Despite this progress, the NLP community has not witnessed any significant work performing a comparative study on the contextualization power of such architectures.
KARL-Trans-NER: Knowledge Aware Representation Learning for Named Entity Recognition using Transformers
The inception of modeling contextual information using models such as BERT, ELMo, and Flair has significantly improved representation learning for words.
Does BERT Make Any Sense? Interpretable Word Sense Disambiguation with Contextualized Embeddings
Since vectors of the same word type can vary depending on the respective context, they implicitly provide a model for word sense disambiguation (WSD).
IIT (BHU) Varanasi at MSR-SRST 2018: A Language Model Based Approach for Natural Language Generation
This paper describes our submission system for the Shallow Track of Surface Realization Shared Task 2018 (SRST'18).
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