Ritwik Bose
2023
Detoxifying Online Discourse: A Guided Response Generation Approach for Reducing Toxicity in User-Generated Text
Ritwik Bose
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Ian Perera
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Bonnie Dorr
Proceedings of the First Workshop on Social Influence in Conversations (SICon 2023)
The expression of opinions, stances, and moral foundations on social media often coincide with toxic, divisive, or inflammatory language that can make constructive discourse across communities difficult. Natural language generation methods could provide a means to reframe or reword such expressions in a way that fosters more civil discourse, yet current Large Language Model (LLM) methods tend towards language that is too generic or formal to seem authentic for social media discussions. We present preliminary work on training LLMs to maintain authenticity while presenting a community’s ideas and values in a constructive, non-toxic manner.
2020
A Broad-Coverage Deep Semantic Lexicon for Verbs
James Allen
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Hannah An
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Ritwik Bose
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Will de Beaumont
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Choh Man Teng
Proceedings of the Twelfth Language Resources and Evaluation Conference
Progress on deep language understanding is inhibited by the lack of a broad coverage lexicon that connects linguistic behavior to ontological concepts and axioms. We have developed COLLIE-V, a deep lexical resource for verbs, with the coverage of WordNet and syntactic and semantic details that meet or exceed existing resources. Bootstrapping from a hand-built lexicon and ontology, new ontological concepts and lexical entries, together with semantic role preferences and entailment axioms, are automatically derived by combining multiple constraints from parsing dictionary definitions and examples. We evaluated the accuracy of the technique along a number of different dimensions and were able to obtain high accuracy in deriving new concepts and lexical entries. COLLIE-V is publicly available.
2011
Learning General Connotation of Words using Graph-based Algorithms
Song Feng
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Ritwik Bose
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Yejin Choi
Proceedings of the 2011 Conference on Empirical Methods in Natural Language Processing
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Co-authors
- James Allen 1
- Hannah An 1
- William de Beaumont 1
- Choh Man Teng 1
- Ian Perera 1
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