Obserwuj
Mohammad Taher Pilehvar
Mohammad Taher Pilehvar
Cardiff University / Tehran Institute for Advanced Studies
Zweryfikowany adres z cam.ac.uk - Strona główna
Tytuł
Cytowane przez
Cytowane przez
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WiC: the Word-in-Context Dataset for Evaluating Context-Sensitive Meaning Representations
MT Pilehvar, J Camacho-Collados
NAACL 2019, 2019
4362019
From Word to Sense Embeddings: A Survey on Vector Representations of Meaning
J Camacho-Collados, MT Pilehvar
Journal of Artificial Intelligence Research (JAIR), 2018
4282018
SensEmbed: Learning Sense Embeddings for Word and Relational Similarity
I Iacobacci, MT Pilehvar, R Navigli
ACL 2015, 2015
3692015
Embeddings for Word Sense Disambiguation: An Evaluation Study
I Iacobacci, MT Pilehvar, R Navigli
ACL 2016, 2016
3652016
Align, Disambiguate and Walk: A Unified Approach for Measuring Semantic Similarity
MT Pilehvar, D Jurgens, R Navigli
ACL 2013, 2013
2512013
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
2392016
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
2162018
Semeval-2017 Task 2: Multilingual and Cross-Lingual Semantic Word Similarity
J Camacho-Collados, MT Pilehvar, N Collier, R Navigli
SemEval 2017, 2017
1832017
What’s missing in geographical parsing?
M Gritta, MT Pilehvar, N Limsopatham, N Collier
Language Resources and Evaluation 52 (2), 2018
1502018
NASARI: a novel approach to a semantically-aware representation of items
J Camacho-Collados, MT Pilehvar, R Navigli
NAACL 2015, 2015
1312015
From senses to texts: An all-in-one graph-based approach for measuring semantic similarity
MT Pilehvar, R Navigli
Artificial Intelligence (AIJ) 228, 2015
1302015
De-Conflated Semantic Representations
MT Pilehvar, N Collier
EMNLP 2016, 2016
1122016
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
1112020
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
1032020
SemEval-2014 Task 3: Cross-Level Semantic Similarity
D Jurgens, MT Pilehvar, R Navigli
SemEval 2014, 2014
882014
Mapping text to knowledge graph entities using multi-sense LSTMs
D Kartsaklis, MT Pilehvar, N Collier
EMNLP 2018, 2018
802018
SemEval-2016 Task 14: Semantic Taxonomy Enrichment
D Jurgens, MT Pilehvar
SemEval 2016, 2016
762016
Analysis and evaluation of language models for word sense disambiguation
D Loureiro, K Rezaee, MT Pilehvar, J Camacho-Collados
Computational Linguistics 47 (2), 387-443, 2021
75*2021
A Framework for the Construction of Monolingual and Cross-lingual Word Similarity Datasets
J Camacho-Collados, MT Pilehvar, R Navigli
ACL 2015, 2015
73*2015
Which Melbourne? Augmenting Geocoding with Maps
M Gritta, MT Pilehvar, N Collier
ACL 2018, 1285-1296, 2018
702018
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Prace 1–20