Search Results for author: Casey Kennington

Found 42 papers, 1 papers with code

Natural Language Processing for Computer Scientists and Data Scientists at a Large State University

no code implementations NAACL (TeachingNLP) 2021 Casey Kennington

The field of Natural Language Processing (NLP) changes rapidly, requiring course offerings to adjust with those changes, and NLP is not just for computer scientists; it’s a field that should be accessible to anyone who has a sufficient background.

Incremental Unit Networks for Multimodal, Fine-grained Information State Representation

no code implementations ACL (mmsr, IWCS) 2021 Casey Kennington, David Schlangen

We offer a fine-grained information state annotation scheme that follows directly from the Incremental Unit abstract model of dialogue processing when used within a multimodal, co-located, interactive setting.

Spellchecking for Children in Web Search: a Natural Language Interface Case-study

no code implementations EACL (HCINLP) 2021 Casey Kennington, Jerry Alan Fails, Katherine Landau Wright, Maria Soledad Pera

Given the more widespread nature of natural language interfaces, it is increasingly important to understand who are accessing those interfaces, and how those interfaces are being used.

Information Retrieval Retrieval

Enriching Language Models with Visually-grounded Word Vectors and the Lancaster Sensorimotor Norms

no code implementations CoNLL (EMNLP) 2021 Casey Kennington

Language models are trained only on text despite the fact that humans learn their first language in a highly interactive and multimodal environment where the first set of learned words are largely concrete, denoting physical entities and embodied states.

Visual Dialog

rrSDS: Towards a Robot-ready Spoken Dialogue System

no code implementations SIGDIAL (ACL) 2020 Casey Kennington, Daniele Moro, Lucas Marchand, Jake Carns, David McNeill

Spoken interaction with a physical robot requires a dialogue system that is modular, multimodal, distributive, incremental and temporally aligned.

Learning Word Groundings from Humans Facilitated by Robot Emotional Displays

no code implementations SIGDIAL (ACL) 2020 David McNeill, Casey Kennington

In working towards accomplishing a human-level acquisition and understanding of language, a robot must meet two requirements: the ability to learn words from interactions with its physical environment, and the ability to learn language from people in settings for language use, such as spoken dialogue.

HADREB: Human Appraisals and (English) Descriptions of Robot Emotional Behaviors

no code implementations LREC 2022 Josue Torres-Fonsesca, Casey Kennington

To address this gap we have collected HADREB, a dataset of human appraisals and English descriptions of robot emotional behaviors collected from over 30 participants.

Attribute Language Modelling

Unsupervised, Bottom-up Category Discovery for Symbol Grounding with a Curious Robot

no code implementations3 Apr 2024 Catherine Henry, Casey Kennington

Towards addressing the Symbol Grounding Problem and motivated by early childhood language development, we leverage a robot which has been equipped with an approximate model of curiosity with particular focus on bottom-up building of unsupervised categories grounded in the physical world.

Understanding Survey Paper Taxonomy about Large Language Models via Graph Representation Learning

no code implementations16 Feb 2024 Jun Zhuang, Casey Kennington

As new research on Large Language Models (LLMs) continues, it is difficult to keep up with new research and models.

Graph Representation Learning

A Multi-Perspective Learning to Rank Approach to Support Children's Information Seeking in the Classroom

no code implementations29 Aug 2023 Garrett Allen, Katherine Landau Wright, Jerry Alan Fails, Casey Kennington, Maria Soledad Pera

We introduce a novel re-ranking model that aims to augment the functionality of standard search engines to support classroom search activities for children (ages 6 to 11).

Learning-To-Rank Re-Ranking

On the Computational Modeling of Meaning: Embodied Cognition Intertwined with Emotion

no code implementations10 Jul 2023 Casey Kennington

This document chronicles this author's attempt to explore how words come to mean what they do, with a particular focus on child language acquisition and what that means for models of language understanding.\footnote{I say \emph{historical} because I synthesize the ideas based on when I discovered them and how those ideas influenced my later thinking.}

Language Acquisition

Vision Language Transformers: A Survey

no code implementations6 Jul 2023 Clayton Fields, Casey Kennington

Vision language tasks, such as answering questions about or generating captions that describe an image, are difficult tasks for computers to perform.

Language Modelling Transfer Learning

Who's in Charge? Roles and Responsibilities of Decision-Making Components in Conversational Robots

no code implementations15 Mar 2023 Pierre Lison, Casey Kennington

Software architectures for conversational robots typically consist of multiple modules, each designed for a particular processing task or functionality.

Decision Making

Conversational Agents and Children: Let Children Learn

no code implementations23 Feb 2023 Casey Kennington, Jerry Alan Fails, Katherine Landau Wright, Maria Soledad Pera

Using online information discovery as a case study, in this position paper we discuss the need to design, develop, and deploy (conversational) agents that can -- non-intrusively -- guide children in their quest for online resources rather than simply finding resources for them.


The State of SLIVAR: What's next for robots, human-robot interaction, and (spoken) dialogue systems?

no code implementations24 Aug 2021 Casey Kennington

We synthesize the reported results and recommendations of recent workshops and seminars that convened to discuss open questions within the important intersection of robotics, human-robot interaction, and spoken dialogue systems research.

Spoken Dialogue Systems

An Analysis of the Recent Visibility of the SigDial Conference

no code implementations30 Jun 2021 Casey Kennington, McKenzie Steenson

Automated speech and text interfaces are continuing to improve, resulting in increased research in the area of dialogue systems.

Language Acquisition is Embodied, Interactive, Emotive: a Research Proposal

no code implementations10 May 2021 Casey Kennington

Humans' experience of the world is profoundly multimodal from the beginning, so why do existing state-of-the-art language models only use text as a modality to learn and represent semantic meaning?

Language Acquisition

CASTing a Net: Supporting Teachers with Search Technology

no code implementations7 May 2021 Garrett Allen, Katherine Landau Wright, Jerry Alan Fails, Casey Kennington, Maria Soledad Pera

In this paper, we argue for the need to broaden the research focus to include teachers and how search technology can aid them.

KidSpell: A Child-Oriented, Rule-Based, Phonetic Spellchecker

no code implementations LREC 2020 Brody Downs, Oghenemaro Anuyah, Aprajita Shukla, Jerry Alan Fails, Sole Pera, Katherine Wright, Casey Kennington

For help with their spelling errors, children often turn to spellcheckers integrated in software applications like word processors and search engines.

Composing and Embedding the Words-as-Classifiers Model of Grounded Semantics

no code implementations8 Nov 2019 Daniele Moro, Stacy Black, Casey Kennington

The words-as-classifiers model of grounded lexical semantics learns a semantic fitness score between physical entities and the words that are used to denote those entities.

Incrementalizing RASA's Open-Source Natural Language Understanding Pipeline

no code implementations11 Jul 2019 Andrew Rafla, Casey Kennington

As spoken dialogue systems and chatbots are gaining more widespread adoption, commercial and open-sourced services for natural language understanding are emerging.

Intent Recognition Natural Language Understanding +1

Predicting Perceived Age: Both Language Ability and Appearance are Important

no code implementations WS 2018 Sarah Plane, Ariel Marvasti, Tyler Egan, Casey Kennington

When interacting with robots in a situated spoken dialogue setting, human dialogue partners tend to assign anthropomorphic and social characteristics to those robots.

Language Acquisition

Symbol, Conversational, and Societal Grounding with a Toy Robot

no code implementations29 Sep 2017 Casey Kennington, Sarah Plane

Essential to meaningful interaction is grounding at the symbolic, conversational, and societal levels.

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