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ORCIDMohammad Taher Pilehvar
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- affiliation: University of Cambridge, UK
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2020 – today
- 2024
[c62]Zahra Delbari, Nafise Sadat Moosavi, Mohammad Taher Pilehvar:
Spanning the Spectrum of Hatred Detection: A Persian Multi-Label Hate Speech Dataset with Annotator Rationales. AAAI 2024: 17889-17897- [c61]Kiamehr Rezaee, José Camacho-Collados, Mohammad Taher Pilehvar:
TweetTER: A Benchmark for Target Entity Retrieval on Twitter without Knowledge Bases. LREC/COLING 2024: 16890-16896 - [c60]Faridoun Mehri, Mohsen Fayyaz, Mahdieh Soleymani Baghshah, Mohammad Taher Pilehvar:
SkipPLUS: Skip the First Few Layers to Better Explain Vision Transformers. CVPR Workshops 2024: 204-215 - [i35]Majid Zarharan, Pascal Wullschleger, Babak Behkam Kia, Mohammad Taher Pilehvar, Jennifer Foster:
Tell Me Why: Explainable Public Health Fact-Checking with Large Language Models. CoRR abs/2405.09454 (2024) - [i34]Junho Myung, Nayeon Lee, Yi Zhou, Jiho Jin, Rifki Afina Putri, Dimosthenis Antypas, Hsuvas Borkakoty, Eunsu Kim, Carla Pérez-Almendros, Abinew Ali Ayele, Víctor Gutiérrez-Basulto, Yazmín Ibáñez-García, Hwaran Lee, Shamsuddeen Hassan Muhammad, Ki-Woong Park, Anar Sabuhi Rzayev, Nina White, Seid Muhie Yimam, Mohammad Taher Pilehvar, Nedjma Ousidhoum, José Camacho-Collados, Alice Oh:
BLEnD: A Benchmark for LLMs on Everyday Knowledge in Diverse Cultures and Languages. CoRR abs/2406.09948 (2024) - 2023
- [j11]Taha Shangipour Ataei
, Kamyar Darvishi, Soroush Javdan, Amin Pourdabiri, Behrouz Minaei-Bidgoli, Mohammad Taher Pilehvar:
Pars-OFF: A Benchmark for Offensive Language Detection on Farsi Social Media. IEEE Trans. Affect. Comput. 14(4): 2787-2795 (2023) - [c59]Ali Modarressi, Mohsen Fayyaz, Ehsan Aghazadeh, Yadollah Yaghoobzadeh, Mohammad Taher Pilehvar:
DecompX: Explaining Transformers Decisions by Propagating Token Decomposition. ACL (1) 2023: 2649-2664 - [c58]Ali Modarressi, Hossein Amirkhani, Mohammad Taher Pilehvar:
Guide the Learner: Controlling Product of Experts Debiasing Method Based on Token Attribution Similarities. EACL 2023: 1946-1951 - [c57]Mahdi Zakizadeh, Kaveh Eskandari Miandoab, Mohammad Taher Pilehvar:
DiFair: A Benchmark for Disentangled Assessment of Gender Knowledge and Bias. EMNLP (Findings) 2023: 1897-1914 - [c56]Alessandro Raganato, Iacer Calixto, Asahi Ushio, José Camacho-Collados, Mohammad Taher Pilehvar:
SemEval-2023 Task 1: Visual Word Sense Disambiguation. SemEval@ACL 2023: 2227-2234 - [i33]Mohammad Akbar-Tajari, Sara Rajaee, Mohammad Taher Pilehvar:
An Empirical Study on the Transferability of Transformer Modules in Parameter-Efficient Fine-Tuning. CoRR abs/2302.00378 (2023) - [i32]Ali Modarressi, Hossein Amirkhani, Mohammad Taher Pilehvar:
Guide the Learner: Controlling Product of Experts Debiasing Method Based on Token Attribution Similarities. CoRR abs/2302.02852 (2023) - [i31]Ali Modarressi, Mohsen Fayyaz, Ehsan Aghazadeh, Yadollah Yaghoobzadeh, Mohammad Taher Pilehvar:
DecompX: Explaining Transformers Decisions by Propagating Token Decomposition. CoRR abs/2306.02873 (2023) - [i30]Mahdi Zakizadeh, Kaveh Eskandari Miandoab, Mohammad Taher Pilehvar:
DiFair: A Benchmark for Disentangled Assessment of Gender Knowledge and Bias. CoRR abs/2310.14329 (2023) - 2022
- [j10]Mohammad Taher Pilehvar, Adam Bernard, Damian Smedley, Nigel Collier:
PheneBank: a literature-based database of phenotypes. Bioinform. 38(4): 1179-1180 (2022) - [c55]Ali Modarressi, Hosein Mohebbi, Mohammad Taher Pilehvar:
AdapLeR: Speeding up Inference by Adaptive Length Reduction. ACL (1) 2022: 1-15 - [c54]Houman Mehrafarin, Sara Rajaee, Mohammad Taher Pilehvar:
On the Importance of Data Size in Probing Fine-tuned Models. ACL (Findings) 2022: 228-238 - [c53]Mohsen Tabasi, Kiamehr Rezaee, Mohammad Taher Pilehvar:
Exploiting Language Model Prompts Using Similarity Measures: A Case Study on the Word-in-Context Task. ACL (2) 2022: 325-332 - [c52]Sara Rajaee, Mohammad Taher Pilehvar:
An Isotropy Analysis in the Multilingual BERT Embedding Space. ACL (Findings) 2022: 1309-1316 - [c51]Costanza Conforti, Jakob Berndt, Mohammad Taher Pilehvar, Chryssi Giannitsarou, Flavio Toxvaerd, Nigel Collier:
Incorporating Stock Market Signals for Twitter Stance Detection. ACL (1) 2022: 4074-4091 - [c50]Sara Rajaee, Yadollah Yaghoobzadeh, Mohammad Taher Pilehvar:
Looking at the Overlooked: An Analysis on the Word-Overlap Bias in Natural Language Inference. EMNLP 2022: 10605-10616 - [c49]Mohammad Akbar-Tajari, Sara Rajaee, Mohammad Taher Pilehvar:
An Empirical Study on the Transferability of Transformer Modules in Parameter-efficient Fine-tuning. EMNLP 2022: 10617-10625 - [c48]Ali Modarressi, Mohsen Fayyaz, Yadollah Yaghoobzadeh, Mohammad Taher Pilehvar:
GlobEnc: Quantifying Global Token Attribution by Incorporating the Whole Encoder Layer in Transformers. NAACL-HLT 2022: 258-271 - [e2]Vivi Nastase, Ellie Pavlick, Mohammad Taher Pilehvar, José Camacho-Collados, Alessandro Raganato:
Proceedings of the 11th Joint Conference on Lexical and Computational Semantics, *SEM@NAACL-HLT 2022, Seattle, WA, USA, July 14-15, 2022. Association for Computational Linguistics 2022, ISBN 978-1-955917-98-8 [contents] - [i29]Ali Modarressi, Hosein Mohebbi, Mohammad Taher Pilehvar:
AdapLeR: Speeding up Inference by Adaptive Length Reduction. CoRR abs/2203.08991 (2022) - [i28]Houman Mehrafarin, Sara Rajaee, Mohammad Taher Pilehvar:
On the Importance of Data Size in Probing Fine-tuned Models. CoRR abs/2203.09627 (2022) - [i27]Ali Modarressi, Mohsen Fayyaz, Yadollah Yaghoobzadeh, Mohammad Taher Pilehvar:
GlobEnc: Quantifying Global Token Attribution by Incorporating the Whole Encoder Layer in Transformers. CoRR abs/2205.03286 (2022) - [i26]Sara Rajaee, Yadollah Yaghoobzadeh, Mohammad Taher Pilehvar:
Looking at the Overlooked: An Analysis on the Word-Overlap Bias in Natural Language Inference. CoRR abs/2211.03862 (2022) - [i25]Mohsen Fayyaz, Ehsan Aghazadeh, Ali Modarressi, Mohammad Taher Pilehvar, Yadollah Yaghoobzadeh, Samira Ebrahimi Kahou:
BERT on a Data Diet: Finding Important Examples by Gradient-Based Pruning. CoRR abs/2211.05610 (2022) - 2021
- [j9]Daniel Loureiro, Kiamehr Rezaee, Mohammad Taher Pilehvar, José Camacho-Collados:
Analysis and Evaluation of Language Models for Word Sense Disambiguation. Comput. Linguistics 47(2): 387-443 (2021) - [c47]Sara Rajaee, Mohammad Taher Pilehvar:
A Cluster-based Approach for Improving Isotropy in Contextual Embedding Space. ACL/IJCNLP (2) 2021: 575-584 - [c46]Mohsen Fayyaz, Ehsan Aghazadeh, Ali Modarressi, Hosein Mohebbi, Mohammad Taher Pilehvar:
Not All Models Localize Linguistic Knowledge in the Same Place: A Layer-wise Probing on BERToids' Representations. BlackboxNLP@EMNLP 2021: 375-388 - [c45]Costanza Conforti, Jakob Berndt, Marco Basaldella, Mohammad Taher Pilehvar, Chryssi Giannitsarou, Flavio Toxvaerd, Nigel Collier:
Adversarial Training for News Stance Detection: Leveraging Signals from a Multi-Genre Corpus. EACL (Hackashop) 2021: 1-7 - [c44]Anna Breit, Artem Revenko, Kiamehr Rezaee, Mohammad Taher Pilehvar, José Camacho-Collados:
WiC-TSV: An Evaluation Benchmark for Target Sense Verification of Words in Context. EACL 2021: 1635-1645 - [c43]Hosein Mohebbi, Ali Modarressi, Mohammad Taher Pilehvar:
Exploring the Role of BERT Token Representations to Explain Sentence Probing Results. EMNLP (1) 2021: 792-806 - [c42]Sara Rajaee, Mohammad Taher Pilehvar:
How Does Fine-tuning Affect the Geometry of Embedding Space: A Case Study on Isotropy. EMNLP (Findings) 2021: 3042-3049 - [c41]Hossein Amirkhani, Mohammad Taher Pilehvar:
Don't Discard All the Biased Instances: Investigating a Core Assumption in Dataset Bias Mitigation Techniques. EMNLP (Findings) 2021: 4720-4728 - [c40]Majid Zarharan, Mahsa Ghaderan, Amin Pourdabiri, Zahra Sayedi, Behrouz Minaei-Bidgoli, Sauleh Eetemadi, Mohammad Taher Pilehvar:
ParsFEVER: a Dataset for Farsi Fact Extraction and Verification. *SEM 2021: 99-104 - [c39]Costanza Conforti, Jakob Berndt, Mohammad Taher Pilehvar, Chryssi Giannitsarou, Flavio Toxvaerd, Nigel Collier:
Synthetic Examples Improve Cross-Target Generalization: A Study on Stance Detection on a Twitter corpus. WASSA@EACL 2021: 181-187 - [i24]Hosein Mohebbi, Ali Modarressi, Mohammad Taher Pilehvar:
Exploring the Role of BERT Token Representations to Explain Sentence Probing Results. CoRR abs/2104.01477 (2021) - [i23]Sara Rajaee, Mohammad Taher Pilehvar:
A Cluster-based Approach for Improving Isotropy in Contextual Embedding Space. CoRR abs/2106.01183 (2021) - [i22]Hossein Amirkhani, Mohammad Taher Pilehvar:
Don't Discard All the Biased Instances: Investigating a Core Assumption in Dataset Bias Mitigation Techniques. CoRR abs/2109.00521 (2021) - [i21]Sara Rajaee, Mohammad Taher Pilehvar:
How Does Fine-tuning Affect the Geometry of Embedding Space: A Case Study on Isotropy. CoRR abs/2109.04740 (2021) - [i20]Mohsen Fayyaz, Ehsan Aghazadeh, Ali Modarressi, Hosein Mohebbi, Mohammad Taher Pilehvar:
Not All Models Localize Linguistic Knowledge in the Same Place: A Layer-wise Probing on BERToids' Representations. CoRR abs/2109.05958 (2021) - [i19]Sara Rajaee, Mohammad Taher Pilehvar:
An Isotropy Analysis in the Multilingual BERT Embedding Space. CoRR abs/2110.04504 (2021) - 2020
- [b1]Mohammad Taher Pilehvar, José Camacho-Collados:
Embeddings in Natural Language Processing: Theory and Advances in Vector Representations of Meaning. Synthesis Lectures on Human Language Technologies, Morgan & Claypool Publishers 2020, ISBN 978-3-031-01049-1 - [j8]Milan Gritta, Mohammad Taher Pilehvar, Nigel Collier:
A pragmatic guide to geoparsing evaluation. Lang. Resour. Evaluation 54(3): 683-712 (2020) - [c38]Costanza Conforti, Jakob Berndt, Mohammad Taher Pilehvar, Chryssi Giannitsarou, Flavio Toxvaerd, Nigel Collier:
Will-They-Won't-They: A Very Large Dataset for Stance Detection on Twitter. ACL 2020: 1715-1724 - [c37]José Camacho-Collados, Mohammad Taher Pilehvar:
Embeddings in Natural Language Processing. COLING (Tutorial) 2020: 10-15 - [c36]Costanza Conforti, Jakob Berndt, Mohammad Taher Pilehvar, Chryssi Giannitsarou, Flavio Toxvaerd, Nigel Collier:
STANDER: An Expert-Annotated Dataset for News Stance Detection and Evidence Retrieval. EMNLP (Findings) 2020: 4086-4101 - [c35]Alessandro Raganato, Tommaso Pasini, José Camacho-Collados, Mohammad Taher Pilehvar:
XL-WiC: A Multilingual Benchmark for Evaluating Semantic Contextualization. EMNLP (1) 2020: 7193-7206 - [c34]Carlos Santos Armendariz, Matthew Purver, Senja Pollak, Nikola Ljubesic, Matej Ulcar, Ivan Vulic, Mohammad Taher Pilehvar:
SemEval-2020 Task 3: Graded Word Similarity in Context. SemEval@COLING 2020: 36-49 - [d6]Mohammad Taher Pilehvar, Nigel Collier, Adam Bernard, Damian Smedley:
PheneBank: Processed Medline Abstracts and PMC full articles + Phenotype-Disease Associations. Zenodo, 2020
- [d5]Mohammad Taher Pilehvar, Nigel Collier, Adam Bernard, Damian Smedley:
PheneBank: Processed Medline Abstracts and PMC full articles + Phenotype-Disease Associations. Zenodo, 2020 - [i18]Anna Breit, Artem Revenko, Kiamehr Rezaee, Mohammad Taher Pilehvar, José Camacho-Collados:
WiC-TSV: An Evaluation Benchmark for Target Sense Verification of Words in Context. CoRR abs/2004.15016 (2020) - [i17]Costanza Conforti, Jakob Berndt, Mohammad Taher Pilehvar, Chryssi Giannitsarou, Flavio Toxvaerd, Nigel Collier:
Will-They-Won't-They: A Very Large Dataset for Stance Detection on Twitter. CoRR abs/2005.00388 (2020) - [i16]Daniel Loureiro, Kiamehr Rezaee, Mohammad Taher Pilehvar, José Camacho-Collados:
Language Models and Word Sense Disambiguation: An Overview and Analysis. CoRR abs/2008.11608 (2020) - [i15]Alessandro Raganato, Tommaso Pasini, José Camacho-Collados, Mohammad Taher Pilehvar:
XL-WiC: A Multilingual Benchmark for Evaluating Semantic Contextualization. CoRR abs/2010.06478 (2020)
2010 – 2019
- 2019
- [c33]Victor Prokhorov, Mohammad Taher Pilehvar, Dimitri Kartsaklis, Pietro Liò, Nigel Collier:
Unseen Word Representation by Aligning Heterogeneous Lexical Semantic Spaces. AAAI 2019: 6900-6907 - [c32]Victor Prokhorov, Ehsan Shareghi, Yingzhen Li, Mohammad Taher Pilehvar, Nigel Collier:
On the Importance of the Kullback-Leibler Divergence Term in Variational Autoencoders for Text Generation. NGT@EMNLP-IJCNLP 2019: 118-127 - [c31]Mohammad Taher Pilehvar, José Camacho-Collados:
WiC: the Word-in-Context Dataset for Evaluating Context-Sensitive Meaning Representations. NAACL-HLT (1) 2019: 1267-1273 - [c30]Victor Prokhorov, Mohammad Taher Pilehvar, Nigel Collier:
Generating Knowledge Graph Paths from Textual Definitions using Sequence-to-Sequence Models. NAACL-HLT (1) 2019: 1968-1976 - [c29]Mohammad Taher Pilehvar:
On the Importance of Distinguishing Word Meaning Representations: A Case Study on Reverse Dictionary Mapping. NAACL-HLT (1) 2019: 2151-2156 - [e1]Luis Espinosa Anke, Thierry Declerck, Dagmar Gromann, José Camacho-Collados, Mohammad Taher Pilehvar:
Proceedings of the 5th Workshop on Semantic Deep Learning, SemDeep@IJCAI 2019, Macau, China, August 12, 2019. Association for Computational Linguistics 2019, ISBN 978-1-950737-19-2 [contents] - [i14]Victor Prokhorov, Mohammad Taher Pilehvar, Nigel Collier:
Generating Knowledge Graph Paths from Textual Definitions using Sequence-to-Sequence Models. CoRR abs/1904.02996 (2019) - [i13]Victor Prokhorov, Ehsan Shareghi, Yingzhen Li, Mohammad Taher Pilehvar, Nigel Collier:
On the Importance of the Kullback-Leibler Divergence Term in Variational Autoencoders for Text Generation. CoRR abs/1909.13668 (2019) - 2018
- [j7]José Camacho-Collados, Mohammad Taher Pilehvar:
From Word To Sense Embeddings: A Survey on Vector Representations of Meaning. J. Artif. Intell. Res. 63: 743-788 (2018) - [j6]Milan Gritta, Mohammad Taher Pilehvar, Nut Limsopatham, Nigel Collier:
What's missing in geographical parsing? Lang. Resour. Evaluation 52(2): 603-623 (2018) - [c28]Milan Gritta, Mohammad Taher Pilehvar, Nigel Collier:
Which Melbourne? Augmenting Geocoding with Maps. ACL (1) 2018: 1285-1296 - [c27]Costanza Conforti, Mohammad Taher Pilehvar, Nigel Collier:
Modeling the Fake News Challenge as a Cross-Level Stance Detection Task. CIKM Workshops 2018 - [c26]José Camacho-Collados, Mohammad Taher Pilehvar:
On the Role of Text Preprocessing in Neural Network Architectures: An Evaluation Study on Text Categorization and Sentiment Analysis. BlackboxNLP@EMNLP 2018: 40-46 - [c25]Costanza Conforti, Mohammad Taher Pilehvar, Nigel Collier:
Towards Automatic Fake News Detection: Cross-Level Stance Detection in News Articles. FEVER@EMNLP 2018: 40-49 - [c24]Mohammad Taher Pilehvar, Dimitri Kartsaklis, Victor Prokhorov, Nigel Collier:
Card-660: A Reliable Evaluation Framework for Rare Word Representation Models. EMNLP 2018: 1391-1401 - [c23]Dimitri Kartsaklis, Mohammad Taher Pilehvar, Nigel Collier:
Mapping Text to Knowledge Graph Entities using Multi-Sense LSTMs. EMNLP 2018: 1959-1970 - [c22]Hoang-Quynh Le, Duy-Cat Can, Sinh T. Vu, Thanh Hai Dang, Mohammad Taher Pilehvar, Nigel Collier:
Large-scale Exploration of Neural Relation Classification Architectures. EMNLP 2018: 2266-2277 - [c21]José Camacho-Collados, Luis Espinosa Anke, Mohammad Taher Pilehvar:
The interplay between lexical resources and Natural Language Processing. NAACL-HLT (Tutorial Abstracts) 2018: 17-23 - [d4]Nigel Collier, Mohammad Taher Pilehvar, Adam Bernard, Damian Smedley:
PheneBank: Processed Medline Abstracts. Zenodo, 2018 - [d3]Nigel Collier, Mohammad Taher Pilehvar, Adam Bernard, Damian Smedley:
PheneBank: Processed Medline Abstracts and PMC full articles. Zenodo, 2018 - [d2]Nigel Collier, Mohammad Taher Pilehvar, Adam Bernard, Damian Smedley:
PheneBank: Processed Medline Abstracts and PMC full articles. Zenodo, 2018 - [d1]Nigel Collier, Mohammad Taher Pilehvar, Adam Bernard, Damian Smedley:
PheneBank: Processed Medline Abstracts and PMC full articles. Zenodo, 2018 - [i12]José Camacho-Collados, Mohammad Taher Pilehvar:
From Word to Sense Embeddings: A Survey on Vector Representations of Meaning. CoRR abs/1805.04032 (2018) - [i11]José Camacho-Collados, Luis Espinosa Anke, Mohammad Taher Pilehvar:
The Interplay between Lexical Resources and Natural Language Processing. CoRR abs/1807.00571 (2018) - [i10]Dimitri Kartsaklis, Mohammad Taher Pilehvar, Nigel Collier:
Mapping Text to Knowledge Graph Entities using Multi-Sense LSTMs. CoRR abs/1808.07724 (2018) - [i9]Mohammad Taher Pilehvar, José Camacho-Collados:
WiC: 10, 000 Example Pairs for Evaluating Context-Sensitive Representations. CoRR abs/1808.09121 (2018) - [i8]Mohammad Taher Pilehvar, Dimitri Kartsaklis, Victor Prokhorov, Nigel Collier:
Card-660: Cambridge Rare Word Dataset - a Reliable Benchmark for Infrequent Word Representation Models. CoRR abs/1808.09308 (2018) - [i7]Milan Gritta, Mohammad Taher Pilehvar, Nigel Collier:
A Pragmatic Guide to Geoparsing Evaluation. CoRR abs/1810.12368 (2018) - [i6]Victor Prokhorov, Mohammad Taher Pilehvar, Dimitri Kartsaklis, Pietro Liò, Nigel Collier:
Unseen Word Representation by Aligning Heterogeneous Lexical Semantic Spaces. CoRR abs/1811.04983 (2018) - 2017
- [c20]Milan Gritta, Mohammad Taher Pilehvar, Nut Limsopatham, Nigel Collier:
Vancouver Welcomes You! Minimalist Location Metonymy Resolution. ACL (1) 2017: 1248-1259 - [c19]Mohammad Taher Pilehvar, José Camacho-Collados, Roberto Navigli, Nigel Collier:
Towards a Seamless Integration of Word Senses into Downstream NLP Applications. ACL (1) 2017: 1857-1869 - [c18]Mohammad Taher Pilehvar, Nigel Collier:
Inducing Embeddings for Rare and Unseen Words by Leveraging Lexical Resources. EACL (2) 2017: 388-393 - [c17]José Camacho-Collados, Mohammad Taher Pilehvar, Nigel Collier, Roberto Navigli:
SemEval-2017 Task 2: Multilingual and Cross-lingual Semantic Word Similarity. SemEval@ACL 2017: 15-26 - [i5]José Camacho-Collados, Mohammad Taher Pilehvar:
On the Role of Text Preprocessing in Neural Network Architectures: An Evaluation Study on Text Categorization and Sentiment Analysis. CoRR abs/1707.01780 (2017) - [i4]Victor Prokhorov, Mohammad Taher Pilehvar, Dimitri Kartsaklis, Pietro Liò, Nigel Collier:
Learning Rare Word Representations using Semantic Bridging. CoRR abs/1707.07554 (2017) - [i3]Mohammad Taher Pilehvar, José Camacho-Collados, Roberto Navigli, Nigel Collier:
Towards a Seamless Integration of Word Senses into Downstream NLP Applications. CoRR abs/1710.06632 (2017) - 2016
- [j5]José Camacho-Collados, Mohammad Taher Pilehvar, Roberto Navigli:
Nasari: Integrating explicit knowledge and corpus statistics for a multilingual representation of concepts and entities. Artif. Intell. 240: 36-64 (2016) - [j4]Heshaam Faili, Nava Ehsan, Mortaza Montazery, Mohammad Taher Pilehvar:
Vafa spell-checker for detecting spelling, grammatical, and real-word errors of Persian language. Digit. Scholarsh. Humanit. 31(1): 95-117 (2016) - [j3]David Jurgens, Mohammad Taher Pilehvar, Roberto Navigli:
Cross level semantic similarity: an evaluation framework for universal measures of similarity. Lang. Resour. Evaluation 50(1): 5-33 (2016) - [c16]Ignacio Iacobacci, Mohammad Taher Pilehvar, Roberto Navigli:
Embeddings for Word Sense Disambiguation: An Evaluation Study. ACL (1) 2016 - [c15]Mohammad Taher Pilehvar, Nigel Collier:
Improved Semantic Representation for Domain-Specific Entities. BioNLP@ACL 2016: 12-16 - [c14]Mohammad Taher Pilehvar, Nigel Collier:
De-Conflated Semantic Representations. EMNLP 2016: 1680-1690 - [c13]David Jurgens, Mohammad Taher Pilehvar:
SemEval-2016 Task 14: Semantic Taxonomy Enrichment. SemEval@NAACL-HLT 2016: 1092-1102 - [i2]José Camacho-Collados, Ignacio Iacobacci, Roberto Navigli, Mohammad Taher Pilehvar:
Semantic Representations of Word Senses and Concepts. CoRR abs/1608.00841 (2016) - [i1]Mohammad Taher Pilehvar, Nigel Collier:
De-Conflated Semantic Representations. CoRR abs/1608.01961 (2016) - 2015
- [j2]Mohammad Taher Pilehvar, Roberto Navigli:
From senses to texts: An all-in-one graph-based approach for measuring semantic similarity. Artif. Intell. 228: 95-128 (2015) - [c12]José Camacho-Collados, Mohammad Taher Pilehvar, Roberto Navigli:
A Framework for the Construction of Monolingual and Cross-lingual Word Similarity Datasets. ACL (2) 2015: 1-7 - [c11]Ignacio Iacobacci, Mohammad Taher Pilehvar, Roberto Navigli:
SensEmbed: Learning Sense Embeddings for Word and Relational Similarity. ACL (1) 2015: 95-105 - [c10]José Camacho-Collados, Mohammad Taher Pilehvar, Roberto Navigli:
A Unified Multilingual Semantic Representation of Concepts. ACL (1) 2015: 741-751 - [c9]Mohammad Taher Pilehvar, Roberto Navigli:
An Open-source Framework for Multi-level Semantic Similarity Measurement. HLT-NAACL 2015: 76-80 - [c8]José Camacho-Collados, Mohammad Taher Pilehvar, Roberto Navigli:
NASARI: a Novel Approach to a Semantically-Aware Representation of Items. HLT-NAACL 2015: 567-577 - [c7]David Jurgens, Mohammad Taher Pilehvar:
Reserating the awesometastic: An automatic extension of the WordNet taxonomy for novel terms. HLT-NAACL 2015: 1459-1465 - 2014
- [j1]Mohammad Taher Pilehvar, Roberto Navigli:
A Large-Scale Pseudoword-Based Evaluation Framework for State-of-the-Art Word Sense Disambiguation. Comput. Linguistics 40(4): 837-881 (2014) - [c6]Mohammad Taher Pilehvar, Roberto Navigli:
A Robust Approach to Aligning Heterogeneous Lexical Resources. ACL (1) 2014: 468-478 - [c5]David Jurgens, Mohammad Taher Pilehvar, Roberto Navigli:
SemEval-2014 Task 3: Cross-Level Semantic Similarity. SemEval@COLING 2014: 17-26 - 2013
- [c4]Mohammad Taher Pilehvar, David Jurgens, Roberto Navigli:
Align, Disambiguate and Walk: A Unified Approach for Measuring Semantic Similarity. ACL (1) 2013: 1341-1351 - [c3]Mohammad Taher Pilehvar, Roberto Navigli:
Paving the Way to a Large-scale Pseudosense-annotated Dataset. HLT-NAACL 2013: 1100-1109 - 2011
- [c2]Mohammad Taher Pilehvar, Heshaam Faili, Abdol Hamid Pilevar:
TEP: Tehran English-Persian Parallel Corpus. CICLing (2) 2011: 68-79
2000 – 2009
- 2009
- [c1]Mohammad Taher Pilehvar, Heshaam Feili, Mahmood Soltani:
Classification of Persian textual documents using learning vector quantization. NLPKE 2009: 1-6
Coauthor Index
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last updated on 2024-10-11 17:29 CEST by the dblp team
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