وب سایت رسمی محمد طاهر پیله ور

Generating Knowledge Graph Paths from Textual Definitions using Sequence-to-Sequence Models

نویسندگان: Victor Prokhorov, Mohammad Taher Pilehvar, Nigel Collier

عنوان مجله:

از صفحه: ۰

تا صفحه: ۰

How Does Fine-tuning Affect the Geometry of Embedding Space: A Case Study on Isotropy

نویسندگان: Sara Rajaee, Mohammad Taher Pilehvar

عنوان مجله:

از صفحه: ۰

تا صفحه: ۰

Improved Semantic Representation for Domain-Specific Entities

نویسندگان: Mohammad Taher Pilehvar, Nigel Collier

عنوان مجله: ACL 2016 (BioNLP)

از صفحه: ۰

تا صفحه: ۰

Inducing Embeddings for Rare and Unseen Words by Leveraging Lexical Resources

نویسندگان: Mohammad Taher Pilehvar, Nigel Collier

عنوان مجله:

از صفحه: ۰

تا صفحه: ۰

Large-scale Exploration of Neural Relation Classification Architectures

نویسندگان: Hoang-Quynh Le, Duy-Cat Can, Sinh T Vu, Thanh Hai Dang, Mohammad Taher Pilehvar, Nigel Collier

عنوان مجله: EMNLP 2018

از صفحه: ۰

تا صفحه: ۰

Learning rare word representations using semantic bridging

نویسندگان: Victor Prokhorov, Mohammad Taher Pilehvar, Dimitri Kartsaklis, Pietro Lió, Nigel Collier

عنوان مجله: arXiv preprint arXiv:1707.07554

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Mapping text to knowledge graph entities using multi-sense LSTMs

نویسندگان: Dimitri Kartsaklis, Mohammad Taher Pilehvar, Nigel Collier

عنوان مجله: EMNLP 2018

از صفحه: ۰

تا صفحه: ۰

Modeling the fake news challenge as a cross-level stance detection task

نویسندگان: Costanza Conforti, Mohammad Taher Pilehvar, Nigel Collier

عنوان مجله:

از صفحه: ۰

تا صفحه: ۰

NASARI: a novel approach to a semantically-aware representation of items

نویسندگان: José Camacho-Collados, Mohammad Taher Pilehvar, Roberto Navigli

عنوان مجله: NAACL 2015

از صفحه: ۰

تا صفحه: ۰

NASARI: Integrating explicit knowledge and corpus statistics for a multilingual representation of concepts and entities

نویسندگان: José Camacho-Collados, Mohammad Taher Pilehvar, Roberto Navigli

عنوان مجله: Artificial Intelligence

از صفحه: ۰

تا صفحه: ۰

Generating Knowledge Graph Paths from Textual Definitions using Sequence-to-Sequence Models

How Does Fine-tuning Affect the Geometry of Embedding Space: A Case Study on Isotropy

Improved Semantic Representation for Domain-Specific Entities

Inducing Embeddings for Rare and Unseen Words by Leveraging Lexical Resources

Large-scale Exploration of Neural Relation Classification Architectures

Learning rare word representations using semantic bridging

Mapping text to knowledge graph entities using multi-sense LSTMs

Modeling the fake news challenge as a cross-level stance detection task

NASARI: a novel approach to a semantically-aware representation of items

NASARI: Integrating explicit knowledge and corpus statistics for a multilingual representation of concepts and entities

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