Measuring Semantic Relations between Human Activities
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Summary
A new phrase-level semantic textual similarity dataset comprised of human activity phrases, providing a testbed for automated systems that analyze relationships between phrasal descriptions of people’s actions, and introduces several new approaches to the phrase- level similarity task in the domain of human activities.
- Type
- article
- Published
- 2017-11-01
- Cited by
- 14
- References
- 33
- OpenAlex
- https://openalex.org/W2773798543
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:30742488
Keywords
Computer science, Semantic similarity, Similarity (geometry), Phrase, Set (abstract data type)
References
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- Non-distributional Word Vector Representations
- Distributed Representations of Sentences and Documents
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- Distributed Representations of Words and Phrases and their Compositionality
- Word Association Norms, Mutual Information, and Lexicography
- Improving Word Representations via Global Context and Multiple Word Prototypes
- Learning Composition Models for Phrase Embeddings
- Towards Universal Paraphrastic Sentence Embeddings
- GloVe: Global Vectors for Word Representation
- A SICK cure for the evaluation of compositional distributional semantic models
- PPDB: The Paraphrase Database
- Dependency-Based Word Embeddings
- SemEval-2012 Task 6: A Pilot on Semantic Textual Similarity
Cited by
- Sequential Network Transfer: Adapting Sentence Embeddings to Human Activities and Beyond
- Multi-Label Transfer Learning for Semantic Similarity
- Direct Network Transfer: Transfer Learning of Sentence Embeddings for Semantic Similarity
- Predicting Human Activities from User-Generated Content
- Multi-Label Transfer Learning for Multi-Relational Semantic Similarity
- Scaled Pearson’s Correlation Coefficient for Evaluating Text Similarity Measures
- Natural Language Processing for Personal Values and Human Activities
- Representing Movie Characters in Dialogues
- To Batch or Not to Batch? Comparing Batching and Curriculum Learning Strategies across Tasks and Datasets
- A Semantic Embedding Enhanced Topic Model For User-Generated Textual Content Modeling In Social Ecosystems
- Human Action Co-occurrence in Lifestyle Vlogs using Graph Link Prediction
- Learning Human Action Representations from Temporal Context in Lifestyle Vlogs
- A Large Scale Analysis of Gender Biases in Text-to-Image Generative Models
- Semantically Guided Representation Learning For Action Anticipation
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