V. Prokhorov, M. T. Pilehvar, D. Kartsaklis, P. Lio, and N. Collier
Unseen Word Representation by Aligning Heterogeneous Lexical Semantic Spaces.
AAAI 2019, Hawaii, USA.
M. T. Pilehvar and J. Camacho-Collados
WiC: the Word-in-Context Dataset for Evaluating Context-Sensitive Meaning Representations.
NAACL 2019, Minneapolis, USA.
M. T. Pilehvar
On the Importance of Distinguishing Word Meaning Representations: A Case Study on Reverse Dictionary Mapping.
NAACL 2019, Minneapolis, USA.
V. Prokhorov, M. T. Pilehvar, and N. Collier
Generating Knowledge Graph Paths from Textual Definitions using Sequence-to-Sequence Models.
NAACL 2019, Minneapolis, USA.
M. T. Pilehvar, D. Kartsaklis, V. Prokhorov and N. Collier
Card-660: Cambridge Rare Word Dataset - a Reliable Benchmark for Infrequent Word Representation Models.
EMNLP 2018, Brussels, Belgium.
D. Kartsaklis, M. T. Pilehvar and N. Collier
Mapping Text to Knowledge Graph Entities using Multi-Sense LSTMs.
EMNLP 2018, Brussels, Belgium.
H. Le, D. Can, S. T. Vu, T. H. Dang, M. T. Pilehvar and N. Collier
Large-scale Exploration of Neural Relation Classification Architectures.
EMNLP 2018, Brussels, Belgium.
M. Gritta, M. T. Pilehvar, and N. Collier
Which Melbourne? Augmenting Geocoding with Maps.
ACL 2018, Melbourne, Australia.
J. Camacho-Collados and M. T. Pilehvar
From Word to Sense Embeddings: A Survey on Vector Representations of Meaning.
Journal of Artificial Intelligence Research, 2018.
Milan Gritta, Mohammad Taher Pilehvar, Nut Limsopatham, and Nigel Collier
What’s missing in geographical parsing?
Language Resources and Evaluation, pp 1-21, Springer, 2018.
M. T. Pilehvar, J. Camacho-Collados, R. Navigli, and N. Collier.
Towards a Seamless Integration of Word Senses into Downstream NLP Applications.
ACL 2017, Vancouver, Canada.
M. Gritta, M. T. Pilehvar, N. Limsopatham, and N. Collier
Vancouver Welcomes You! Minimalist Location Metonymy Resolution.
ACL 2017, Vancouver, Canada.
Selected as an ACL 2017
Outstanding Paper
J. Camacho-Collados, M. T. Pilehvar, N. Collier, and R. Navigli.
SemEval-2017 Task 2: Multilingual and Cross-lingual Semantic Word Similarity.
SemEval 2017, Vancouver, Canada.
M. T. Pilehvar and N. Collier
Inducing Embeddings for Rare and Unseen Words by Leveraging Lexical Resources.
EACL 2017, pp 388-393, Valencia, Spain.
J. Camacho-Collados, M. T. Pilehvar, and R. Navigli.
Nasari: Integrating explicit knowledge and corpus statistics for a multilingual representation of concepts and entities.
Artificial Intelligence, 240, pp 36-64, Elsevier, 2016.
M. T. Pilehvar and N. Collier
De-Conflated Semantic Representations.
EMNLP 2016, pp 1680-1690, Austin, TX.
I. Iacobacci, M. T. Pilehvar, and R. Navigli
Embeddings for Word Sense Disambiguation: An Evaluation Study.
ACL 2016, Berlin, Germany.
M. T. Pilehvar and N. Collier
Improved Semantic Representation for Domain-Specific Entities.
BioNLP, ACL 2016, Berlin, Germany.
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D. Jurgens and M. T. Pilehvar
SemEval-2016 Task 14: Semantic Taxonomy Enrichment.
SemEval 2016, San Diego, California.
D. Jurgens, M. T. Pilehvar, and R. Navigli.
Cross Level Semantic Similarity: A Evaluation Framework for Universal Measures of Similarity.
Language Resources and Evaluation, 50(1), pp. 5-33, Springer, 2016.
M. T. Pilehvar and R. Navigli.
From Senses to Texts: An All-in-one Graph-based Approach for Measuring Semantic Similarity.
Artificial Intelligence, 228, pp. 95-128, Elsevier, 2015.
I. Iacobacci, M. T. Pilehvar, and R. Navigli.
SensEmbed: Enhancing Word Embeddings for Semantic Similarity and Relatedness.
ACL 2015, Beijing, China.
J. Camacho-Collados, M. T. Pilehvar, and R. Navigli.
A Framework for the Construction of Monolingual and Cross-lingual Semantic Similarity Datasets.
ACL 2015 (short), Beijing, China.
J. Camacho-Collados, M. T. Pilehvar, and R. Navigli.
A Unified Multilingual Semantic Representation of Concepts.
ACL 2015, Beijing, China.
M. T. Pilehvar, R. Navigli.
An Open-source Framework for Multi-level Semantic Similarity Measurement.
NAACL 2015 (demo), Denver, USA.
D. Jurgens and M. T. Pilehvar.
Reserating the awesometastic: An automatic extension of the WordNet taxonomy for novel terms.
NAACL 2015 (short), Denver, USA.
J. Camacho-Collados, M. T. Pilehvar, and R. Navigli.
NASARI: a Novel Approach to a Semantically-Aware Representation of Items.
NAACL 2015, Denver, USA.
M. T. Pilehvar, and R. Navigli.
A Large-scale Pseudoword-based Evaluation Framework for State-of-the-Art Word Sense Disambiguation.
Computational Linguistics, 40(4), pp. 837-881, MIT Press, 2014.
D. Jurgens, M. T. Pilehvar, R. Navigli.
SemEval-2014 Task 3: Cross-Level Semantic Similarity.
SemEval 2014, Dublin, Ireland, 2014.
M. T. Pilehvar, and R. Navigli.
A Robust Approach to Aligning Heterogeneous Lexical Resources.
ACL 2014, Baltimore, USA, 2014.
M. T. Pilehvar, D. Jurgens and R. Navigli.
Align, Disambiguate and Walk: A Unified Approach for Measuring Semantic Similarity.
ACL 2013, Sofia, Bulgaria, 2013.
Nominated for ACL 2013 best paper award.
M. T. Pilehvar and R. Navigli.
Paving the Way to a Large-scale Pseudosense-annotated Dataset.
NAACL 2013, Atlanta, USA, 2013.
M. T. Pilevar, A. H. Pilevar and Heshaam Faili.
TEP: Tehran English-Persian parallel corpus.
CICLING 2011, Tokyo, Japan, 2011.