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Applied Sciences, 2023 Sentiment analysis is considered one of the significant trends of the recent few years. Due to the high importance and increasing use of social media and electronic services, the need for reviewing and enhancing the provided services has become crucial ...
A. M. Mostafa +4 more
semanticscholar +1 more source
Compositionality in Different Modalities: A View from Usage-Based Linguistics
International journal of primatology, 2022 The field of linguistics concerns itself with understanding the human capacity for language. Compositionality is a key notion in this research tradition. Compositionality refers to the notion that the meaning of a complex linguistic unit is a function of
M. Pleyer, R. Lepic, S. Hartmann
semanticscholar +1 more source
Helpful Neighbors: Leveraging Neighbors in Geographic Feature Pronunciation [PDF]
Transactions of the Association for Computational Linguistics, 2022 If one sees the place name Houston Mercer Dog Run in New York, how does one know how to pronounce it? Assuming one knows that Houston in New York is pronounced /ˈhaʊstən/ and not like the Texas city (/ˈhjuːstən/), then one can probably guess that ...
Llion Jones +3 more
semanticscholar +1 more source
Geospatial distributions reflect temperatures of linguistic features [PDF]
Science Advances, 2021 The geographical distributions of features of language contain a footprint of the cultural evolutionary dynamics of language.
Henri Kauhanen +4 more
openaire +6 more sources
Simple and Accurate Dependency Parsing Using Bidirectional LSTM Feature Representations [PDF]
Transactions of the Association for Computational Linguistics, 2016 We present a simple and effective scheme for dependency parsing which is based on bidirectional-LSTMs (BiLSTMs). Each sentence token is associated with a BiLSTM vector representing the token in its sentential context, and feature vectors are constructed ...
E. Kiperwasser, Yoav Goldberg
semanticscholar +1 more source
A Complete and Recursive Feature Theory [PDF]
, 1992 Various feature descriptions are being employed in logic programming languages and constrained-based grammar formalisms. The common notational primitive of these descriptions are functional attributes called features.
Deutsches Forschungszentrum +9 more
core +7 more sources
Integrated Directional Gradients: Feature Interaction Attribution for Neural NLP Models
Annual Meeting of the Association for Computational Linguistics, 2021 In this paper, we introduce Integrated Directional Gradients (IDG), a method for attributing importance scores to groups of features, indicating their relevance to the output of a neural network model for a given input.
Sandipan Sikdar +2 more
semanticscholar +1 more source
Cross-disciplinary variation in metadiscourse: A corpus-based analysis of Russian-authored research article abstracts [PDF]
Training, Language and Culture, 2022 The article deals with metadiscourse variation in academic texts across disciplinary boundaries. Its main focus is on the distribution of metadiscourse markers in Russian-authored academic prose in the field of applied linguistics and engineering.
Olga A. Boginskaya
doaj +1 more source
A Multimodal Model for College English Teaching Using Text and Image Feature Extraction
Computational Intelligence and Neuroscience, 2022 The rapid development of the internet and multimedia technology in recent years has continued to push foreign language education in the direction of modern education.
Dan Zhao, Yafang Liu
semanticscholar +1 more source
Knowledge Base Population using Semantic Label Propagation [PDF]
, 2016 A crucial aspect of a knowledge base population system that extracts new facts from text corpora, is the generation of training data for its relation extractors.
Deleu, Johannes +3 more
core +4 more sources