49 citations · 189 across the 14 of their papers we have counts for
5 papers · 2 filters
Coreference Resolution through a seq2seq Transition-Based System
Bernd Bohnet, Chris Alberti, Michael Collins
Most recent coreference resolution systems use search algorithms over possible spans to identify mentions and resolve coreference. We instead present a coreference resolution syste…
Towards Computationally Verifiable Semantic Grounding for Language Models
Chris Alberti, Kuzman Ganchev, Michael Collins +2
The paper presents an approach to semantic grounding of language models (LMs) that conceptualizes the LM as a conditional model generating text given a desired semantic message for…
Conciseness: An Overlooked Language Task
Felix Stahlberg, Aashish Kumar, Chris Alberti +1
We report on novel investigations into training models that make sentences concise. We define the task and show that it is different from related tasks such as summarization and si…
QAmeleon: Multilingual QA with Only 5 Examples
Priyanka Agrawal, Chris Alberti, Fantine Huot +6
The availability of large, high-quality datasets has been one of the main drivers of recent progress in question answering (QA). Such annotated datasets however are difficult and c…
Simple and Effective Gradient-Based Tuning of Sequence-to-Sequence Models
Jared Lichtarge, Chris Alberti, Shankar Kumar
Recent trends towards training ever-larger language models have substantially improved machine learning performance across linguistic tasks. However, the huge cost of training larg…