Elizabeth D. Liddy

Also published as: Elizabeth Liddy


2016

pdf bib
EmoTweet-28: A Fine-Grained Emotion Corpus for Sentiment Analysis
Jasy Suet Yan Liew | Howard R. Turtle | Elizabeth D. Liddy
Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC'16)

This paper describes EmoTweet-28, a carefully curated corpus of 15,553 tweets annotated with 28 emotion categories for the purpose of training and evaluating machine learning models for emotion classification. EmoTweet-28 is, to date, the largest tweet corpus annotated with fine-grained emotion categories. The corpus contains annotations for four facets of emotion: valence, arousal, emotion category and emotion cues. We first used small-scale content analysis to inductively identify a set of emotion categories that characterize the emotions expressed in microblog text. We then expanded the size of the corpus using crowdsourcing. The corpus encompasses a variety of examples including explicit and implicit expressions of emotions as well as tweets containing multiple emotions. EmoTweet-28 represents an important resource to advance the development and evaluation of more emotion-sensitive systems.

2009

pdf bib
Towards a Cognitive Approach for the Automated Detection of Connotative Meaning
Jaime Snyder | Michael A. D’Eredita | Ozgur Yilmazel | Elizabeth D. Liddy
Proceedings of the Eight International Conference on Computational Semantics

2006

pdf bib
Modeling Reference Interviews as a Basis for Improving Automatic QA Systems
Nancy J. McCracken | Anne R. Diekema | Grant Ingersoll | Sarah C. Harwell | Eileen E. Allen | Ozgur Yilmazel | Elizabeth D. Liddy
Proceedings of the Interactive Question Answering Workshop at HLT-NAACL 2006

pdf bib
Illuminating Trouble Tickets with Sublanguage Theory
Svetlana Symonenko | Steven Rowe | Elizabeth D. Liddy
Proceedings of the Human Language Technology Conference of the NAACL, Companion Volume: Short Papers

2005

pdf bib
Hands-On NLP for an Interdisciplinary Audience
Elizabeth Liddy | Nancy McCracken
Proceedings of the Second ACL Workshop on Effective Tools and Methodologies for Teaching NLP and CL

2004

pdf bib
Evaluation of Restricted Domain Question-Answering Systems
Anne R. Diekema | Ozgur Yilmazel | Elizabeth D. Liddy
Proceedings of the Conference on Question Answering in Restricted Domains

1998

pdf bib
Dynamic Data Fusion
Ted Diamond | Elizabeth D. Liddy
TIPSTER TEXT PROGRAM PHASE III: Proceedings of a Workshop held at Baltimore, Maryland, October 13-15, 1998

pdf bib
Multiple & Single Document Summarization Using DR-LINK
Mary McKenna | Elizabeth Liddy
TIPSTER TEXT PROGRAM PHASE III: Proceedings of a Workshop held at Baltimore, Maryland, October 13-15, 1998

1993

pdf bib
Development, Implementation and Testing of a Discourse Model for Newspaper Texts
Elizabeth D. Liddy | Kenneth A. McVearry | Woojin Paik | Edmund Yu | Mary McKenna
Human Language Technology: Proceedings of a Workshop Held at Plainsboro, New Jersey, March 21-24, 1993

pdf bib
Interpretation of Proper Nouns for Information Retrieval
Woojin Paik | Elizabeth D. Liddy | Edmund Yu | Mary McKenna
Human Language Technology: Proceedings of a Workshop Held at Plainsboro, New Jersey, March 21-24, 1993

pdf bib
An Overview of DR-LINK and Its Approach to Document Filtering
Elizabeth D. Liddy | Woojin Paik | Edmund S. Yu | Kenneth A. McVearry
Human Language Technology: Proceedings of a Workshop Held at Plainsboro, New Jersey, March 21-24, 1993

pdf bib
DR-LINK: Document Retrieval Using Linguistic Knowledge
Elizabeth D. Liddy | Sung H. Myaeng
Human Language Technology: Proceedings of a Workshop Held at Plainsboro, New Jersey, March 21-24, 1993

pdf bib
DR-LINK System: Phase I Summary
Elizabeth D. Liddy | Sung H. Myaeng
TIPSTER TEXT PROGRAM: PHASE I: Proceedings of a Workshop held at Fredricksburg, Virginia, September 19-23, 1993

pdf bib
Categorization and Standardizing Proper Nouns for Efficient Information Retrieval
Woojin Paik | Elizabeth Liddy | Edmund Yu | Mary McKenna
Acquisition of Lexical Knowledge from Text

pdf bib
Document Filtering using Semantic Information from a Machine Readable Dictionary
Elizabeth D. Liddy | Woojin Paik
Very Large Corpora: Academic and Industrial Perspectives