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Data from: Wide range screening of algorithmic bias in word embedding models using large sentiment lexicons reveals underreported bias types ...
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Early Vedic – Morphosyntactic structures, Part 3 ... : Word Order, Embedding ...
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Keydana, Götz. - : Georg-August-Universität Göttingen,Sprachwissenschaftliches Seminar, 2020
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COMBINING TEXT EMBEDDING WITH ADDITIONAL KNOWLEDGE FOR INFORMATION EXTRACTION ...
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Roy, Arpita. - : Maryland Shared Open Access Repository, 2020
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Abstract:
Information Extraction (IE) is an essential field of natural language processing (NLP). Over the years, researchers have studied numerous approaches and techniques to meet the challenges of different IE tasks. This dissertation explores various knowledge fusion techniques to combine diverse domain-independent and domain-specific knowledge with multiple text embedding techniques for effective IE. Specifically, this work presents a systematic investigation to combine different types of knowledge (e.g., lexical, syntactic, semantic, and domain knowledge) with different text embedding techniques (e.g., static and contextual embeddings) to achieve the state of the art performance in several IE tasks (e.g., Open IE, malware attribute identification and clinical relation extraction). ...
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Keyword:
Information Extraction; Natural Language Processing; Word Embedding
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URL: https://mdsoar.org/handle/11603/24196
https://dx.doi.org/10.13016/m2tlmg-nlvd
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Assessing Topical Homogeneity with Word Embedding and Distance Matrices
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In: School of Information Studies - Faculty Scholarship (2020)
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Quantum-like generalization of complex word embedding: a lightweight approach for textual classification.
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USE OF WORD EMBEDDING TO GENERATE SIMILAR WORDS AND MISSPELLINGS FOR TRAINING PURPOSE IN CHATBOT DEVELOPMENT
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Ranking comments: An Entropy-based Method with Word Embedding Clustering
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In: Electronic Thesis and Dissertation Repository (2020)
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Prediction of Alzheimer's disease and semantic dementia from scene description: toward better language and topic generalization
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Scalable and Language-Independent Embedding-based Approach for Plagiarism Detection Considering Obfuscation Type: No Training Phase
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A Fine-grained Multilingual Analysis Based on the Appraisal Theory: Application to Arabic and English Videos
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In: ICALP: International Conference on Arabic Language Processing ; https://hal.archives-ouvertes.fr/hal-02314244 ; ICALP: International Conference on Arabic Language Processing, Oct 2019, Nancy, France. pp.49-61, ⟨10.1007/978-3-030-32959-4_4⟩ (2019)
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Modelling the Semantic Change Dynamics using Diachronic Word Embedding
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In: 11th International Conference on Agents and Artificial Intelligence (NLPinAI Special Session) ; https://hal.archives-ouvertes.fr/hal-02048377 ; 11th International Conference on Agents and Artificial Intelligence (NLPinAI Special Session), Feb 2019, Prague, Czech Republic (2019)
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Times Are Changing: Investigating the Pace of Language Change in Diachronic Word Embeddings ...
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SemR-11: a multi-lingual gold-standard for semantic similarity and relatedness for eleven languages
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Cross-lingual embeddings for hate speech detection in comments ...
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Cross-lingual embeddings for hate speech detection in comments ...
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Semantic Frame Embeddings for Detecting Relations between Software Requirements ...
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