CV of Mohammad Taher Pilehvar

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

Authors: Victor Prokhorov, Mohammad Taher Pilehvar, Nigel Collier

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

Authors: Sara Rajaee, Mohammad Taher Pilehvar

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Improved Semantic Representation for Domain-Specific Entities

Authors: Mohammad Taher Pilehvar, Nigel Collier

Article Title: ACL 2016 (BioNLP)

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Inducing Embeddings for Rare and Unseen Words by Leveraging Lexical Resources

Authors: Mohammad Taher Pilehvar, Nigel Collier

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Large-scale Exploration of Neural Relation Classification Architectures

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

Article Title: EMNLP 2018

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Learning rare word representations using semantic bridging

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

Article Title: arXiv preprint arXiv:1707.07554

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Mapping text to knowledge graph entities using multi-sense LSTMs

Authors: Dimitri Kartsaklis, Mohammad Taher Pilehvar, Nigel Collier

Article Title: EMNLP 2018

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

Authors: Costanza Conforti, Mohammad Taher Pilehvar, Nigel Collier

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

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

Article Title: NAACL 2015

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

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

Article Title: Artificial Intelligence

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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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