Many existing chatbots do not effectively support mixed initiative, forcing their users to either respond passively or lead constantly.
We find that unclear user utterances are a major source of generative errors such as ignoring, hallucination, unclearness and repetition.
Information extraction and question answering have the potential to introduce a new paradigm for how machine learning is applied to criminal law.
2 code implementations • 24 Oct 2023 • Moussa Koulako Bala Doumbouya, Baba Mamadi Diané, Solo Farabado Cissé, Djibrila Diané, Abdoulaye Sow, Séré Moussa Doumbouya, Daouda Bangoura, Fodé Moriba Bayo, Ibrahima Sory 2. Condé, Kalo Mory Diané, Chris Piech, Christopher Manning
Currently, there is no usable machine translation system for Nko, a language spoken by tens of millions of people across multiple West African countries, which holds significant cultural and educational value.
While our work, along with previous work, shows that transfer from these models to low-resource languages that are unrelated to languages in their training set is not very effective, we would expect stronger results from transfer to creoles.
Meta-learning promises few-shot learners that can adapt to new distributions by repurposing knowledge acquired from previous training.
To this end, we describe what we deem an ideal methodology for machine learning research on LUIs and categorize five common ways in which recent benchmarks deviate from it.
The Abstract Meaning Representation (AMR) is a representation for open-domain rich semantics, with potential use in fields like event extraction and machine translation.
We present a new publicly available dataset and event extraction task in the plane crash domain based on Wikipedia infoboxes and newswire text.
We present a generative model for the unsupervised learning of dependency structures.
Ranked #5 on Unsupervised Dependency Parsing on Penn Treebank