CV of Mohammad Taher Pilehvar

TEP: Tehran English-Persian parallel corpus

Authors: Mohammad Taher Pilevar, Heshaam Faili, Abdol Hamid Pilevar

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The interplay between lexical resources and Natural Language Processing

Authors: Jose Camacho-Collados, Luis Espinosa-Anke, Mohammad Taher Pilehvar

Article Title: NAACL 2018 Tutorial

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Towards a Seamless Integration of Word Senses into Downstream NLP Applications

Authors: Mohammad Taher Pilehvar, Jose Camacho-Collados, Roberto Navigli, Nigel Collier

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Towards Automatic Fake News Detection: Cross-Level Stance Detection in News Articles

Authors: Costanza Conforti, Mohammad Taher Pilehvar, Nigel Collier

Article Title: First Workshop on Fact Extraction and VERification (FEVER)

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Unseen Word Representation by Aligning Heterogeneous Lexical Semantic Spaces

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

Article Title: AAAI 2019

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Vancouver Welcomes You! Minimalist Location Metonymy Resolution

Authors: Milan Gritta, Mohammad Taher Pilehvar, Nut Limsopatham, Nigel Collier

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What’s missing in geographical parsing?

Authors: Milan Gritta, Mohammad Taher Pilehvar, Nut Limsopatham, Nigel Collier

Article Title: Language Resources and Evaluation

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Which Melbourne? Augmenting Geocoding with Maps

Authors: Milan Gritta, Mohammad Taher Pilehvar, Nigel Collier

Article Title: ACL 2018

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WiC: the Word-in-Context Dataset for Evaluating Context-Sensitive Meaning Representations

Authors: Mohammad Taher Pilehvar, Jose Camacho-Collados

Article Title: NAACL 2019

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WiC-TSV: An Evaluation Benchmark for Target Sense Verification of Words in Context

Authors: Anna Breit, Artem Revenko, Kiamehr Rezaee, Mohammad Taher Pilehvar, Jose Camacho-Collados

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TEP: Tehran English-Persian parallel corpus

The interplay between lexical resources and Natural Language Processing

Towards a Seamless Integration of Word Senses into Downstream NLP Applications

Towards Automatic Fake News Detection: Cross-Level Stance Detection in News Articles

Unseen Word Representation by Aligning Heterogeneous Lexical Semantic Spaces

Vancouver Welcomes You! Minimalist Location Metonymy Resolution

What’s missing in geographical parsing?

Which Melbourne? Augmenting Geocoding with Maps

WiC: the Word-in-Context Dataset for Evaluating Context-Sensitive Meaning Representations

WiC-TSV: An Evaluation Benchmark for Target Sense Verification of Words in Context

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