Papers by Todd Shore

3 papers
Using Lexical Alignment and Referring Ability to Address Data Sparsity in Situated Dialog Reference Resolution (D18-1)

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Challenge: Existing work on exophoric reference resolution for situated dialogs is limited to a literary model . et al., 2010) showed that it is possible to improve dialogic reference resolving by incrementally adapting word semantic model parameters to idiosyncratic language use by dyad partners.
Approach: They propose to use a logistic regression model to adapt a model to idiosyncratic language . they first train a log regression model and then use it to learn the general referring ability of each word .
Outcome: The proposed methods improve dialogic reference resolution without annotation of referring expressions even with little background data.
KTH Tangrams: A Dataset for Research on Alignment and Conceptual Pacts in Task-Oriented Dialogue (L18-1)

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Challenge: Existing studies on instructor-manipulator dialogue use disparate but similar datasets . a recent study examined the alignment of referring expressions (RL) in situated dialogue .
Approach: They propose to use a corpus of referring expressions in a relatively free dialogue with physical features generated in simulated situations to study alignment in referring language.
Outcome: The proposed datasets facilitate analysis of dialogic linguistic phenomena regarding alignment in the formation of referring expressions known as conceptual pacts.
FARMI: A FrAmework for Recording Multi-Modal Interactions (L18-1)

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Challenge: a new framework for recording multi-modal data is needed to capture multi-party, richly recorded corpora and perform real-time processing of such data.
Approach: They propose an open-source processing architecture for corpora and real-time processing . they deploy the architecture in a multi-party deception game with six humans and one robot .
Outcome: The proposed architecture is agnostic to hardware and programming languages, although it's mostly written in Python.

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