We propose Conditional Adapter (CoDA), a parameter-efficient transfer
le...
Many natural language processing tasks benefit from long inputs, but
pro...
Multi-vector retrieval models improve over single-vector dual encoders o...
Transformers allow attention between all pairs of tokens, but there is r...
Deep neural models achieve some of the best results for semantic role
la...
Semantic role labeling (SRL) identifies predicate-argument structure(s) ...
Split and Rephrase is a text simplification task of rewriting a complex
...
In this paper, we investigate how we can leverage Spark platform for
eff...
Highly regularized LSTMs that model the auto-regressive conditional
fact...
We propose a simple model for textual matching problems. Starting from a...
We propose a simple model for textual matching problems. Starting from a...
Computing universal distributed representations of sentences is a fundam...
Recurrent neural networks have become ubiquitous in computing representa...
In many neural models, new features as polynomial functions of existing ...
Computing universal distributed representations of sentences is a fundam...