We evaluate the ability of semantic parsers based on large language mode...
Natural language interfaces often require supervised data to translate u...
Building pretrained language models is considered expensive and
data-int...
Existing multiparty dialogue datasets for coreference resolution are nas...
The sizes of pretrained language models make them challenging and expens...
While coreference resolution is defined independently of dataset domain,...
Academic neural models for coreference resolution are typically trained ...
Training coreference resolution models require comprehensively labeled d...
We present LOME, a system for performing multilingual information extrac...
Copy mechanisms are employed in sequence to sequence models (seq2seq) to...
Pretrained contextualized text encoders are now a staple of the NLP
comm...
We explore the task of coreference resolution under fixed memory by exte...
We introduce a dataset with annotated Roles Across Multiple Sentences (R...
Contextualized representation models such as ELMo (Peters et al., 2018a)...
We introduce a set of nine challenge tasks that test for the understandi...
Work on the problem of contextualized word representation -- the develop...
The Universal Morphology UniMorph project is a collaborative effort to
i...
The CoNLL-SIGMORPHON 2017 shared task on supervised morphological genera...
We present a dataset of manually annotated relationships between charact...