1 code implementation • 14 Feb 2023 • Hossein Rajaby Faghihi, Parisa Kordjamshidi, Choh Man Teng, James Allen
In this paper, we investigate whether symbolic semantic representations, extracted from deep semantic parsers, can help reasoning over the states of involved entities in a procedural text.
no code implementations • LREC 2020 • James Allen, Hannah An, Ritwik Bose, Will de Beaumont, Choh Man Teng
Progress on deep language understanding is inhibited by the lack of a broad coverage lexicon that connects linguistic behavior to ontological concepts and axioms.
no code implementations • 29 Jun 2020 • Ritwik Bose, Siddharth Vashishtha, James Allen
The task of Semantic Parsing can be approximated as a transformation of an utterance into a logical form graph where edges represent semantic roles and nodes represent word senses.
no code implementations • WS 2018 • Lucian Galescu, Choh Man Teng, James Allen, Ian Perera
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.
no code implementations • WS 2018 • Ian Perera, James Allen, Choh Man Teng, Lucian Galescu
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.
no code implementations • ACL 2018 • Rishi Sharma, James Allen, Bakhsh, Omid eh, Nasrin Mostafazadeh
The Story Cloze Test (SCT) is a recent framework for evaluating story comprehension and script learning.
no code implementations • WS 2018 • Ian Perera, James Allen, Choh Man Teng, Lucian Galescu
We demonstrate a system for understanding natural language utterances for structure description and placement in a situated blocks world context.
no code implementations • SEMEVAL 2018 • James Allen, Choh Man Teng
While there have been many proposals for theories of semantic roles over the years, these models are mostly justified by intuition and the only evaluation methods have been inter-annotator agreement.
no code implementations • ACL 2017 • Bakhsh, Omid eh, James Allen
The semantic-driven approach outperforms the neural models, however, the results indicate that the task is very challenging across the models.
no code implementations • WS 2017 • Nasrin Mostafazadeh, Michael Roth, Annie Louis, Nathanael Chambers, James Allen
The LSDSem{'}17 shared task is the Story Cloze Test, a new evaluation for story understanding and script learning.
no code implementations • WS 2017 • Archna Bhatia, Choh Man Teng, James Allen
We are developing a broad-coverage deep semantic lexicon for a system that parses sentences into a logical form expressed in a rich ontology that supports reasoning.
no code implementations • 6 Apr 2016 • Nasrin Mostafazadeh, Nathanael Chambers, Xiaodong He, Devi Parikh, Dhruv Batra, Lucy Vanderwende, Pushmeet Kohli, James Allen
We created a new corpus of ~50k five-sentence commonsense stories, ROCStories, to enable this evaluation.
2 code implementations • 22 Jun 2012 • Naushad UzZaman, Hector Llorens, James Allen, Leon Derczynski, Marc Verhagen, James Pustejovsky
We describe the TempEval-3 task which is currently in preparation for the SemEval-2013 evaluation exercise.
no code implementations • LREC 2012 • Mehdi Manshadi, James Allen, Mary Swift
Annotating natural language sentences with quantifier scoping has proved to be very hard.