In-context learning (ICL) i.e. showing LLMs only a few task-specific
dem...
Query-document relevance prediction is a critical problem in Information...
Salient Span Masking (SSM) has shown itself to be an effective strategy ...
One of the challenges of language teaching is how to organize the rules
...
Each language has its own complex systems of word, phrase, and sentence
...
Text generation systems are ubiquitous in natural language processing
ap...
Active learning (AL) uses a data selection algorithm to select useful
tr...
Pre-trained multilingual language models such as mBERT have shown immens...
Typological knowledge bases (KBs) such as WALS (Dryer and Haspelmath, 20...
Creating a descriptive grammar of a language is an indispensable step fo...
Despite recent advances in natural language processing and other languag...
This paper proposes an idea of building an interface to merge the existi...
Most state-of-the-art models for named entity recognition (NER) rely on ...
This paper presents the submissions by Team Dr.Quad to the ACL-BioNLP 20...
This paper presents the submission by the CMU-01 team to the SIGMORPHON ...
This paper describes the ARIEL-CMU submissions to the Low Resource Human...
Motivated by recent evidence pointing out the fragility of high-performi...
Much work in Natural Language Processing (NLP) has been for resource-ric...