The availability of corpora has led to significant advances in training semantic parsers in English.
Biases continue to be prevalent in modern text and media, especially subjective bias – a special type of bias that introduces improper attitudes or presents a statement with the presupposition of truth.
SeqZero achieves SOTA performance of BART-based models on GeoQuery and EcommerceQuery, which are two few-shot datasets with compositional data split.
Existing models for table understanding require linearization of the table structure, where row or column order is encoded as an unwanted bias.
This strengthens the local feature invariance for the resampled features and enables detecting vehicles in an arbitrary orientation.
The availability of corpora to train semantic parsers in English has lead to significant advances in the field.
Identifying implicit discourse relations between text spans is a challenging task because it requires understanding the meaning of the text.