Search Results for author:
Found 19 papers, 2 papers with code
InfoForager: Leveraging Semantic Search with AMR for COVID-19 Research
This paper examines how Abstract Meaning Representation (AMR) can be utilized for finding answers to research questions in medical scientific documents, in particular, to advance the study of UV (ultraviolet) inactivation of the novel coronavirus that causes the disease COVID-19.
The Search for Agreement on Logical Fallacy Annotation of an Infodemic
We evaluate an annotation schema for labeling logical fallacy types, originally developed for a crowd-sourcing annotation paradigm, now using an annotation paradigm of two trained linguist annotators.
Navigating to Success in Multi-Modal Human-Robot Collaboration: Analysis and Corpus Release
Human-guided robotic exploration is a useful approach to gathering information at remote locations, especially those that might be too risky, inhospitable, or inaccessible for humans.
Envisioning Narrative Intelligence: A Creative Visual Storytelling Anthology
In this paper, we collect an anthology of 100 visual stories from authors who participated in our systematic creative process of improvised story-building based on image sequences.
Dialogue-AMR: Abstract Meaning Representation for Dialogue
This paper describes a schema that enriches Abstract Meaning Representation (AMR) in order to provide a semantic representation for facilitating Natural Language Understanding (NLU) in dialogue systems.
A Research Platform for Multi-Robot Dialogue with Humans
This paper presents a research platform that supports spoken dialogue interaction with multiple robots.
Augmenting Abstract Meaning Representation for Human-Robot Dialogue
We detail refinements made to Abstract Meaning Representation (AMR) that make the representation more suitable for supporting a situated dialogue system, where a human remotely controls a robot for purposes of search and rescue and reconnaissance.
Visual Understanding and Narration: A Deeper Understanding and Explanation of Visual Scenes
We describe the task of Visual Understanding and Narration, in which a robot (or agent) generates text for the images that it collects when navigating its environment, by answering open-ended questions, such as 'what happens, or might have happened, here?'
Consequences and Factors of Stylistic Differences in Human-Robot Dialogue
This paper identifies stylistic differences in instruction-giving observed in a corpus of human-robot dialogue.
A Pipeline for Creative Visual Storytelling
We have piloted this design for a sequence of images in an annotation task.
ScoutBot: A Dialogue System for Collaborative Navigation
ScoutBot is a dialogue interface to physical and simulated robots that supports collaborative exploration of environments.
Laying Down the Yellow Brick Road: Development of a Wizard-of-Oz Interface for Collecting Human-Robot Dialogue
We describe the adaptation and refinement of a graphical user interface designed to facilitate a Wizard-of-Oz (WoZ) approach to collecting human-robot dialogue data.
Automating Direct Speech Variations in Stories and Games
Dialogue authoring in large games requires not only content creation but the subtlety of its delivery, which can vary from character to character.
PersonaBank: A Corpus of Personal Narratives and Their Story Intention Graphs
We present a new corpus, PersonaBank, consisting of 108 personal stories from weblogs that have been annotated with their Story Intention Graphs, a deep representation of the fabula of a story.
Argument Strength is in the Eye of the Beholder: Audience Effects in Persuasion
Americans spend about a third of their time online, with many participating in online conversations on social and political issues.
Generating Sentence Planning Variations for Story Telling
There has been a recent explosion in applications for dialogue interaction ranging from direction-giving and tourist information to interactive story systems.
Identifying Subjective and Figurative Language in Online Dialogue
More and more of the information on the web is dialogic, from Facebook newsfeeds, to forum conversations, to comment threads on news articles.
Generating Different Story Tellings from Semantic Representations of Narrative
In order to tell stories in different voices for different audiences, interactive story systems require: (1) a semantic representation of story structure, and (2) the ability to automatically generate story and dialogue from this semantic representation using some form of Natural Language Generation (NLG).
Narrative Variations in a Virtual Storyteller
Research on storytelling over the last 100 years has distinguished at least two levels of narrative representation (1) story, or fabula; and (2) discourse, or sujhet.
