Search Results for author: James Allen

Found 31 papers, 2 papers with code

The Role of Semantic Parsing in Understanding Procedural Text

1 code implementation14 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.

Semantic Parsing Semantic Role Labeling

A Broad-Coverage Deep Semantic Lexicon for Verbs

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.

Hinting Semantic Parsing with Statistical Word Sense Disambiguation

no code implementations29 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.

Semantic Parsing Word Sense Disambiguation

Cogent: A Generic Dialogue System Shell Based on a Collaborative Problem Solving Model

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.

Dialogue Management Dialogue State Tracking

A Situated Dialogue System for Learning Structural Concepts in Blocks World

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.

Transfer Learning

Putting Semantics into Semantic Roles

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.

Building and Learning Structures in a Situated Blocks World Through Deep Language Understanding

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.

Apples to Apples: Learning Semantics of Common Entities Through a Novel Comprehension Task

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.

Benchmarking Part-Of-Speech Tagging +3

Compositionality in Verb-Particle Constructions

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.

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