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Mohammad Taher Pilehvar
Mohammad Taher Pilehvar
Tehran Institute for Advanced Studies (TeIAS) and University of Cambridge
Verified email at cam.ac.uk - Homepage
Title
Cited by
Cited by
Year
From Word to Sense Embeddings: A Survey on Vector Representations of Meaning
J Camacho-Collados, MT Pilehvar
Journal of Artificial Intelligence Research (JAIR), 2018
3972018
Embeddings for Word Sense Disambiguation: An Evaluation Study
I Iacobacci, MT Pilehvar, R Navigli
ACL 2016, 2016
3582016
WiC: the Word-in-Context Dataset for Evaluating Context-Sensitive Meaning Representations
MT Pilehvar, J Camacho-Collados
NAACL 2019, 2019
3562019
SensEmbed: Learning Sense Embeddings for Word and Relational Similarity
I Iacobacci, MT Pilehvar, R Navigli
ACL 2015, 2015
3552015
Align, Disambiguate and Walk: A Unified Approach for Measuring Semantic Similarity
MT Pilehvar, D Jurgens, R Navigli
ACL 2013, 2013
2482013
NASARI: Integrating explicit knowledge and corpus statistics for a multilingual representation of concepts and entities
J Camacho-Collados, MT Pilehvar, R Navigli
Artificial Intelligence (AIJ) 240, 2016
2382016
On the Role of Text Preprocessing in Neural Network Architectures: An Evaluation Study on Text Categorization and Sentiment Analysis
J Camacho-Collados, MT Pilehvar
BlackboxNLP (EMNLP 2018), 2018
1902018
Semeval-2017 Task 2: Multilingual and Cross-Lingual Semantic Word Similarity
J Camacho-Collados, MT Pilehvar, N Collier, R Navigli
SemEval 2017, 2017
1792017
What’s missing in geographical parsing?
M Gritta, MT Pilehvar, N Limsopatham, N Collier
Language Resources and Evaluation 52 (2), 2018
1292018
NASARI: a novel approach to a semantically-aware representation of items
J Camacho-Collados, MT Pilehvar, R Navigli
NAACL 2015, 2015
1292015
From senses to texts: An all-in-one graph-based approach for measuring semantic similarity
MT Pilehvar, R Navigli
Artificial Intelligence (AIJ) 228, 2015
1272015
De-Conflated Semantic Representations
MT Pilehvar, N Collier
EMNLP 2016, 2016
1102016
Embeddings in Natural Language Processing: Theory and Advances in Vector Representations of Meaning
MT Pilehvar, J Camacho-Collados
Synthesis Lectures on Human Language Technologies, 2020
912020
SemEval-2014 Task 3: Cross-Level Semantic Similarity
D Jurgens, MT Pilehvar, R Navigli
SemEval 2014, 2014
862014
Will-They-Won't-They: A Very Large Dataset for Stance Detection on Twitter
C Conforti, J Berndt, MT Pilehvar, C Giannitsarou, F Toxvaerd, N Collier
ACL 2020, 2020
752020
A Framework for the Construction of Monolingual and Cross-lingual Word Similarity Datasets
J Camacho-Collados, MT Pilehvar, R Navigli
ACL 2015, 2015
722015
Mapping text to knowledge graph entities using multi-sense LSTMs
D Kartsaklis, MT Pilehvar, N Collier
EMNLP 2018, 2018
712018
SemEval-2016 Task 14: Semantic Taxonomy Enrichment
D Jurgens, MT Pilehvar
SemEval 2016, 2016
712016
A Large-scale Pseudoword-based Evaluation Framework for State-of-the-Art Word Sense Disambiguation
MT Pilehvar, R Navigli
Computational Linguistics 40 (4), 2014
692014
A Unified Multilingual Semantic Representation of Concepts
J Camacho-Collados, MT Pilehvar, R Navigli
ACL 2015, 2015
642015
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