Claire Bonial

Also published as: Claire N. Bonial


2019

pdf bib
Abstract Meaning Representation for Human-Robot Dialogue
Claire N. Bonial | Lucia Donatelli | Jessica Ervin | Clare R. Voss
Proceedings of the Society for Computation in Linguistics (SCiL) 2019

pdf bib
Augmenting Abstract Meaning Representation for Human-Robot Dialogue
Claire Bonial | Lucia Donatelli | Stephanie M. Lukin | Stephen Tratz | Ron Artstein | David Traum | Clare Voss
Proceedings of the First International Workshop on Designing Meaning Representations

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. We propose 36 augmented AMRs that capture speech acts, tense and aspect, and spatial information. This linguistic information is vital for representing important distinctions, for example whether the robot has moved, is moving, or will move. We evaluate two existing AMR parsers for their performance on dialogue data. We also outline a model for graph-to-graph conversion, in which output from AMR parsers is converted into our refined AMRs. The design scheme presented here, though task-specific, is extendable for broad coverage of speech acts using AMR in future task-independent work.

2018

pdf bib
Automatically Extracting Qualia Relations for the Rich Event Ontology
Ghazaleh Kazeminejad | Claire Bonial | Susan Windisch Brown | Martha Palmer
Proceedings of the 27th International Conference on Computational Linguistics

Commonsense, real-world knowledge about the events that entities or “things in the world” are typically involved in, as well as part-whole relationships, is valuable for allowing computational systems to draw everyday inferences about the world. Here, we focus on automatically extracting information about (1) the events that typically bring about certain entities (origins), (2) the events that are the typical functions of entities, and (3) part-whole relationships in entities. These correspond to the agentive, telic and constitutive qualia central to the Generative Lexicon. We describe our motivations and methods for extracting these qualia relations from the Suggested Upper Merged Ontology (SUMO) and show that human annotators overwhelmingly find the information extracted to be reasonable. Because ontologies provide a way of structuring this information and making it accessible to agents and computational systems generally, efforts are underway to incorporate the extracted information to an ontology hub of Natural Language Processing semantic role labeling resources, the Rich Event Ontology.

pdf bib
Proceedings of the Workshop Events and Stories in the News 2018
Tommaso Caselli | Ben Miller | Marieke van Erp | Piek Vossen | Martha Palmer | Eduard Hovy | Teruko Mitamura | David Caswell | Susan W. Brown | Claire Bonial
Proceedings of the Workshop Events and Stories in the News 2018

pdf bib
Can You Spot the Semantic Predicate in this Video?
Christopher Reale | Claire Bonial | Heesung Kwon | Clare Voss
Proceedings of the Workshop Events and Stories in the News 2018

We propose a method to improve human activity recognition in video by leveraging semantic information about the target activities from an expert-defined linguistic resource, VerbNet. Our hypothesis is that activities that share similar event semantics, as defined by the semantic predicates of VerbNet, will be more likely to share some visual components. We use a deep convolutional neural network approach as a baseline and incorporate linguistic information from VerbNet through multi-task learning. We present results of experiments showing the added information has negligible impact on recognition performance. We discuss how this may be because the lexical semantic information defined by VerbNet is generally not visually salient given the video processing approach used here, and how we may handle this in future approaches.

pdf bib
Towards a Computational Lexicon for Moroccan Darija: Words, Idioms, and Constructions
Jamal Laoudi | Claire Bonial | Lucia Donatelli | Stephen Tratz | Clare Voss
Proceedings of the Joint Workshop on Linguistic Annotation, Multiword Expressions and Constructions (LAW-MWE-CxG-2018)

In this paper, we explore the challenges of building a computational lexicon for Moroccan Darija (MD), an Arabic dialect spoken by over 32 million people worldwide but which only recently has begun appearing frequently in written form in social media. We raise the question of what belongs in such a lexicon and start by describing our work building traditional word-level lexicon entries with their English translations. We then discuss challenges in translating idiomatic MD text that led to creating multi-word expression lexicon entries whose meanings could not be fully derived from the individual words. Finally, we provide a preliminary exploration of constructions to be considered for inclusion in an MD constructicon by translating examples of English constructions and examining their MD counterparts.

pdf bib
Constructing an Annotated Corpus of Verbal MWEs for English
Abigail Walsh | Claire Bonial | Kristina Geeraert | John P. McCrae | Nathan Schneider | Clarissa Somers
Proceedings of the Joint Workshop on Linguistic Annotation, Multiword Expressions and Constructions (LAW-MWE-CxG-2018)

This paper describes the construction and annotation of a corpus of verbal MWEs for English, as part of the PARSEME Shared Task 1.1 on automatic identification of verbal MWEs. The criteria for corpus selection, the categories of MWEs used, and the training process are discussed, along with the particular issues that led to revisions in edition 1.1 of the annotation guidelines. Finally, an overview of the characteristics of the final annotated corpus is presented, as well as some discussion on inter-annotator agreement.

pdf bib
Consequences and Factors of Stylistic Differences in Human-Robot Dialogue
Stephanie Lukin | Kimberly Pollard | Claire Bonial | Matthew Marge | Cassidy Henry | Ron Artstein | David Traum | Clare Voss
Proceedings of the 19th Annual SIGdial Meeting on Discourse and Dialogue

This paper identifies stylistic differences in instruction-giving observed in a corpus of human-robot dialogue. Differences in verbosity and structure (i.e., single-intent vs. multi-intent instructions) arose naturally without restrictions or prior guidance on how users should speak with the robot. Different styles were found to produce different rates of miscommunication, and correlations were found between style differences and individual user variation, trust, and interaction experience with the robot. Understanding potential consequences and factors that influence style can inform design of dialogue systems that are robust to natural variation from human users.

pdf bib
Dialogue Structure Annotation for Multi-Floor Interaction
David Traum | Cassidy Henry | Stephanie Lukin | Ron Artstein | Felix Gervits | Kimberly Pollard | Claire Bonial | Su Lei | Clare Voss | Matthew Marge | Cory Hayes | Susan Hill
Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018)

pdf bib
Abstract Meaning Representation of Constructions: The More We Include, the Better the Representation
Claire Bonial | Bianca Badarau | Kira Griffitt | Ulf Hermjakob | Kevin Knight | Tim O’Gorman | Martha Palmer | Nathan Schneider
Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018)

2017

pdf bib
The Rich Event Ontology
Susan Brown | Claire Bonial | Leo Obrst | Martha Palmer
Proceedings of the Events and Stories in the News Workshop

In this paper we describe a new lexical semantic resource, The Rich Event On-tology, which provides an independent conceptual backbone to unify existing semantic role labeling (SRL) schemas and augment them with event-to-event causal and temporal relations. By unifying the FrameNet, VerbNet, Automatic Content Extraction, and Rich Entities, Relations and Events resources, the ontology serves as a shared hub for the disparate annotation schemas and therefore enables the combination of SRL training data into a larger, more diverse corpus. By adding temporal and causal relational information not found in any of the independent resources, the ontology facilitates reasoning on and across documents, revealing relationships between events that come together in temporal and causal chains to build more complex scenarios. We envision the open resource serving as a valuable tool for both moving from the ontology to text to query for event types and scenarios of interest, and for moving from text to the ontology to access interpretations of events using the combined semantic information housed there.

pdf bib
Exploring Variation of Natural Human Commands to a Robot in a Collaborative Navigation Task
Matthew Marge | Claire Bonial | Ashley Foots | Cory Hayes | Cassidy Henry | Kimberly Pollard | Ron Artstein | Clare Voss | David Traum
Proceedings of the First Workshop on Language Grounding for Robotics

Robot-directed communication is variable, and may change based on human perception of robot capabilities. To collect training data for a dialogue system and to investigate possible communication changes over time, we developed a Wizard-of-Oz study that (a) simulates a robot’s limited understanding, and (b) collects dialogues where human participants build a progressively better mental model of the robot’s understanding. With ten participants, we collected ten hours of human-robot dialogue. We analyzed the structure of instructions that participants gave to a remote robot before it responded. Our findings show a general initial preference for including metric information (e.g., move forward 3 feet) over landmarks (e.g., move to the desk) in motion commands, but this decreased over time, suggesting changes in perception.

2016

pdf bib
Multimodal Use of an Upper-Level Event Ontology
Claire Bonial | David Tahmoush | Susan Windisch Brown | Martha Palmer
Proceedings of the Fourth Workshop on Events

pdf bib
Comprehensive and Consistent PropBank Light Verb Annotation
Claire Bonial | Martha Palmer
Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC'16)

Recent efforts have focused on expanding the annotation coverage of PropBank from verb relations to adjective and noun relations, as well as light verb constructions (e.g., make an offer, take a bath). While each new relation type has presented unique annotation challenges, ensuring consistent and comprehensive annotation of light verb constructions has proved particularly challenging, given that light verb constructions are semi-productive, difficult to define, and there are often borderline cases. This research describes the iterative process of developing PropBank annotation guidelines for light verb constructions, the current guidelines, and a comparison to related resources.

2014

pdf bib
The VerbCorner Project: Findings from Phase 1 of crowd-sourcing a semantic decomposition of verbs
Joshua K. Hartshorne | Claire Bonial | Martha Palmer
Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)

pdf bib
PropBank: Semantics of New Predicate Types
Claire Bonial | Julia Bonn | Kathryn Conger | Jena D. Hwang | Martha Palmer
Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14)

pdf bib
An Approach to Take Multi-Word Expressions
Claire Bonial | Meredith Green | Jenette Preciado | Martha Palmer
Proceedings of the 10th Workshop on Multiword Expressions (MWE)

pdf bib
SemLink+: FrameNet, VerbNet and Event Ontologies
Martha Palmer | Claire Bonial | Diana McCarthy
Proceedings of Frame Semantics in NLP: A Workshop in Honor of Chuck Fillmore (1929-2014)

2013

pdf bib
The VerbCorner Project: Toward an Empirically-Based Semantic Decomposition of Verbs
Joshua K. Hartshorne | Claire Bonial | Martha Palmer
Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing

pdf bib
Abstract Meaning Representation for Sembanking
Laura Banarescu | Claire Bonial | Shu Cai | Madalina Georgescu | Kira Griffitt | Ulf Hermjakob | Kevin Knight | Philipp Koehn | Martha Palmer | Nathan Schneider
Proceedings of the 7th Linguistic Annotation Workshop and Interoperability with Discourse

pdf bib
Expanding VerbNet with Sketch Engine
Claire Bonial | Orin Hargraves | Martha Palmer
Proceedings of the 6th International Conference on Generative Approaches to the Lexicon (GL2013)

pdf bib
Renewing and Revising SemLink
Claire Bonial | Kevin Stowe | Martha Palmer
Proceedings of the 2nd Workshop on Linked Data in Linguistics (LDL-2013): Representing and linking lexicons, terminologies and other language data

2011

pdf bib
Incorporating Coercive Constructions into a Verb Lexicon
Claire Bonial | Susan Windisch Brown | Jena D. Hwang | Christopher Parisien | Martha Palmer | Suzanne Stevenson
Proceedings of the ACL 2011 Workshop on Relational Models of Semantics

2010

pdf bib
PropBank Annotation of Multilingual Light Verb Constructions
Jena D. Hwang | Archna Bhatia | Claire Bonial | Aous Mansouri | Ashwini Vaidya | Nianwen Xue | Martha Palmer
Proceedings of the Fourth Linguistic Annotation Workshop

pdf bib
Propbank Frameset Annotation Guidelines Using a Dedicated Editor, Cornerstone
Jinho D. Choi | Claire Bonial | Martha Palmer
Proceedings of the Seventh International Conference on Language Resources and Evaluation (LREC'10)

pdf bib
Propbank Instance Annotation Guidelines Using a Dedicated Editor, Jubilee
Jinho D. Choi | Claire Bonial | Martha Palmer
Proceedings of the Seventh International Conference on Language Resources and Evaluation (LREC'10)

pdf bib
Multilingual Propbank Annotation Tools: Cornerstone and Jubilee
Jinho Choi | Claire Bonial | Martha Palmer
Proceedings of the NAACL HLT 2010 Demonstration Session