Lucian Galescu


2023

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Reranking for Natural Language Generation from Logical Forms: A Study based on Large Language Models
Levon Haroutunian | Zhuang Li | Lucian Galescu | Philip Cohen | Raj Tumuluri | Gholamreza Haffari
Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)

2018

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Building and Learning Structures in a Situated Blocks World Through Deep Language Understanding
Ian Perera | James Allen | Choh Man Teng | Lucian Galescu
Proceedings of the First International Workshop on Spatial Language Understanding

We demonstrate a system for understanding natural language utterances for structure description and placement in a situated blocks world context. By relying on a rich, domain-specific adaptation of a generic ontology and a logical form structure produced by a semantic parser, we obviate the need for an intermediate, domain-specific representation and can produce a reasoner that grounds and reasons over concepts and constraints with real-valued data. This linguistic base enables more flexibility in interpreting natural language expressions invoking intrinsic concepts and features of structures and space. We demonstrate some of the capabilities of a system grounded in deep language understanding and present initial results in a structure learning task.

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A Situated Dialogue System for Learning Structural Concepts in Blocks World
Ian Perera | James Allen | Choh Man Teng | Lucian Galescu
Proceedings of the 19th Annual SIGdial Meeting on Discourse and Dialogue

We present a modular, end-to-end dialogue system for a situated agent to address a multimodal, natural language dialogue task in which the agent learns complex representations of block structure classes through assertions, demonstrations, and questioning. The concept to learn is provided to the user through a set of positive and negative visual examples, from which the user determines the underlying constraints to be provided to the system in natural language. The system in turn asks questions about demonstrated examples and simulates new examples to check its knowledge and verify the user’s description is complete. We find that this task is non-trivial for users and generates natural language that is varied yet understood by our deep language understanding architecture.

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Cogent: A Generic Dialogue System Shell Based on a Collaborative Problem Solving Model
Lucian Galescu | Choh Man Teng | James Allen | Ian Perera
Proceedings of the 19th Annual SIGdial Meeting on Discourse and Dialogue

The bulk of current research in dialogue systems is focused on fairly simple task models, primarily state-based. Progress on developing dialogue systems for more complex tasks has been limited by the lack generic toolkits to build from. In this paper we report on our development from the ground up of a new dialogue model based on collaborative problem solving. We implemented the model in a dialogue system shell (Cogent) that al-lows developers to plug in problem-solving agents to create dialogue systems in new domains. The Cogent shell has now been used by several independent teams of researchers to develop dialogue systems in different domains, with varied lexicons and interaction style, each with their own problem-solving back-end. We believe this to be the first practical demonstration of the feasibility of a CPS-based dialogue system shell.

2015

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Complex Event Extraction using DRUM
James Allen | Will de Beaumont | Lucian Galescu | Choh Man Teng
Proceedings of BioNLP 15

2013

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Automatically Deriving Event Ontologies for a CommonSense Knowledge Base
James Allen | Will de Beaumont | Lucian Galescu | Jansen Orfan | Mary Swift | Choh Man Teng
Proceedings of the 10th International Conference on Computational Semantics (IWCS 2013) – Long Papers

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Automatic Metaphor Detection using Large-Scale Lexical Resources and Conventional Metaphor Extraction
Yorick Wilks | Adam Dalton | James Allen | Lucian Galescu
Proceedings of the First Workshop on Metaphor in NLP

2012

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Street-level Geolocation from Natural Language Descriptions
Nate Blaylock | James Allen | William de Beaumont | Lucian Galescu | Hyuckchul Jung
Traitement Automatique des Langues, Volume 53, Numéro 2 : Traitement automatique des informations temporelles et spatiales en langage naturel [Automatic Processing for Temporal and Spatial Information in Natural Language]

2011

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Building Timelines from Narrative Clinical Records: Initial Results Based-on Deep Natural Language Understanding
Hyuckchul Jung | James Allen | Nate Blaylock | William de Beaumont | Lucian Galescu | Mary Swift
Proceedings of BioNLP 2011 Workshop

2009

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Extending Pronunciation Lexicons via Non-phonemic Respellings
Lucian Galescu
Proceedings of Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics, Companion Volume: Short Papers

2007

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Demonstration of PLOW: A Dialogue System for One-Shot Task Learning
James Allen | Nathanael Chambers | George Ferguson | Lucian Galescu | Hyuckchul Jung | Mary Swift | William Taysom
Proceedings of Human Language Technologies: The Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL-HLT)

2005

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Two Diverse Systems Built using Generic Components for Spoken Dialogue (Recent Progress on TRIPS)
James Allen | George Ferguson | Amanda Stent | Scott Stoness | Mary Swift | Lucian Galescu | Nathan Chambers | Ellen Campana | Gregory Aist
Proceedings of the ACL Interactive Poster and Demonstration Sessions

2000

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TRIPS- 911 System Demonstration
James Allen | Donna Byron | Dave Costello | Myroslava Dzikovska | George Ferguson | Lucian Galescu | Amanda Stent
ANLP-NAACL 2000 Workshop: Conversational Systems