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Negation

Papers

Showing 151175 of 608 papers

TitleStatusHype
Cross-lingual Cross-temporal Summarization: Dataset, Models, EvaluationCode0
Analyzing Semantic Faithfulness of Language Models via Input Intervention on Question AnsweringCode0
Evaluating shallow and deep learning strategies for the 2018 n2c2 shared task on clinical text classificationCode0
Investigating associative, switchable and negatable Winograd items on renewed French data setsCode0
A review of Spanish corpora annotated with negationCode0
Decomposing Natural Logic Inferences in Neural NLICode0
Language models are not naysayers: An analysis of language models on negation benchmarksCode0
Larger Probes Tell a Different Story: Extending Psycholinguistic Datasets Via In-Context LearningCode0
Enhancing magic sets with an application to ontological reasoningCode0
Efficient Model Editing with Task-Localized Sparse Fine-tuningCode0
MazeBase: A Sandbox for Learning from GamesCode0
Dialogue Meaning Representation for Task-Oriented Dialogue SystemsCode0
Disambiguation of Verbal ShiftersCode0
Efficient Model Editing with Task Vector Bases: A Theoretical Framework and Scalable ApproachCode0
Multi-task Learning of Negation and Speculation for Targeted Sentiment ClassificationCode0
ETPC - A Paraphrase Identification Corpus Annotated with Extended Paraphrase Typology and NegationCode0
Evaluating the Robustness of Adverse Drug Event Classification Models Using TemplatesCode0
Negation detection in Dutch clinical texts: an evaluation of rule-based and machine learning methodsCode0
Don't Let Notes Be Misunderstood: A Negation Detection Method for Assessing Risk of Suicide in Mental Health RecordsCode0
Automatically Creating a Lexicon of Verbal Polarity Shifters: Mono- and Cross-lingual Methods for GermanCode0
FLEX: Feature-Logic Embedding Framework for CompleX Knowledge Graph ReasoningCode0
Composing Conversational Negation0
Completeness, Recall, and Negation in Open-World Knowledge Bases: A Survey0
Compiling Combinatorial Prediction Games0
ARB-SEN at SemEval-2018 Task1: A New Set of Features for Enhancing the Sentiment Intensity Prediction in Arabic Tweets0
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