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PurdueNLP at SemEval-2017 Task 1: Predicting Semantic Textual Similarity with Paraphrase and Event Embeddings.

, , , , , , , and . SemEval@ACL, page 198-202. Association for Computational Linguistics, (2017)

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Analyzing Museum Visitors' Behavior Patterns., , , , and . User Modeling, volume 4511 of Lecture Notes in Computer Science, page 238-246. Springer, (2007)Leveraging Textual Specifications for Grammar-based Fuzzing of Network Protocols., , , and . CoRR, (2018)A Holistic Framework for Analyzing the COVID-19 Vaccine Debate., , , , , , and . NAACL-HLT, page 5821-5839. Association for Computational Linguistics, (2022)Introducing DRAIL - a Step Towards Declarative Deep Relational Learning., , , and . SPNLP@EMNLP, page 54-62. Association for Computational Linguistics, (2016)Identifying Morality Frames in Political Tweets using Relational Learning., , and . EMNLP (1), page 9939-9958. Association for Computational Linguistics, (2021)Towards Explaining Subjective Ground of Individuals on Social Media., and . EMNLP (Findings), page 1752-1766. Association for Computational Linguistics, (2022)Understanding Politics via Contextualized Discourse Processing., and . CoRR, (2020)Better Together: Combining Language and Social Interactions into a Shared Representation., , , and . TextGraphs@NAACL-HLT, page 29-33. The Association for Computer Linguistics, (2016)Sentiment Tagging with Partial Labels using Modular Architectures., and . ACL (1), page 579-590. Association for Computational Linguistics, (2019)Improving Natural Language Interaction with Robots Using Advice., and . NAACL-HLT (1), page 1962-1967. Association for Computational Linguistics, (2019)