1 code implementation • sdp (COLING) 2022 • Yuan Zhuang, Ellen Riloff, Kiri L. Wagstaff, Raymond Francis, Matthew P. Golombek, Leslie K. Tamppari
Relation extraction models typically cast the problem of determining whether there is a relation between a pair of entities as a single decision.
Ranked #1 on Relation Extraction on LPSC-hasproperty
1 code implementation • EMNLP 2020 • Yuan Zhuang, Tianyu Jiang, Ellen Riloff
First, we present a BERT-based model for affective event classification and show that the classifier achieves substantially better performance than a large affective event knowledge base.
no code implementations • 19 Sep 2023 • Tianyu Jiang, Sonia Vinogradova, Nathan Stringham, E. Louise Earl, Allan D. Hollander, Patrick R. Huber, Ellen Riloff, R. Sandra Schillo, Giorgio A. Ubbiali, Matthew Lange
Our research explores the use of natural language processing (NLP) methods to automatically classify entities for the purpose of knowledge graph population and integration with food system ontologies.
1 code implementation • ACL 2021 • Tianyu Jiang, Ellen Riloff
We use frames from FrameNet to represent a set of common functions for objects, and describe a manually annotated data set of physical objects labeled with their prototypical function.
1 code implementation • EACL 2021 • Tianyu Jiang, Ellen Riloff
Frame identification is one of the key challenges for frame-semantic parsing.
no code implementations • WS 2020 • Christian Felt, Ellen Riloff
Euphemisms soften references to topics that are sensitive, disagreeable, or taboo.
no code implementations • ACL 2020 • Yuan Zhuang, Ellen Riloff
Social media posts often contain questions, but many of the questions are rhetorical and do not seek information.
no code implementations • SEMEVAL 2019 • Haibo Ding, Ellen Riloff, Zhe Feng
Human Needs categories have been used to characterize the reason why an affective event is positive or negative.
no code implementations • WS 2018 • Ellen Riloff
Many events have a positive or negative impact on our lives (e. g., {``}I bought a house{''} is typically good news, but {''}My house burned down{''} is bad news).
no code implementations • ACL 2018 • Tianyu Jiang, Ellen Riloff
People go to different places to engage in activities that reflect their goals.
no code implementations • NAACL 2018 • Haibo Ding, Ellen Riloff
We often talk about events that impact us positively or negatively.
no code implementations • WS 2016 • Shereen Oraby, Vrindavan Harrison, Lena Reed, Ernesto Hernandez, Ellen Riloff, Marilyn Walker
The use of irony and sarcasm in social media allows us to study them at scale for the first time.
no code implementations • WS 2015 • Shereen Oraby, Lena Reed, Ryan Compton, Ellen Riloff, Marilyn Walker, Steve Whittaker
We investigate the characteristics of factual and emotional argumentation styles observed in online debates.
no code implementations • WS 2017 • Shereen Oraby, Vrindavan Harrison, Amita Misra, Ellen Riloff, Marilyn Walker
We present experiments to distinguish between these uses of RQs using SVM and LSTM models that represent linguistic features and post-level context, achieving results as high as 0. 76 F1 for "sarcastic" and 0. 77 F1 for "other" in forums, and 0. 83 F1 for both "sarcastic" and "other" in tweets.