Department of Theoretical and Applied Linguistics English Faculty Building University of Cambridge 9 West Road Cambridge CB3 9DP United Kingdom
Taher is an Assistant Professor at the Tehran Institute for Advanced Studies (TeIAS) and an Affiliated Lecturer at the University of Cambridge. Taher's research is primarily in Lexical Semantics with a special focus on representation learning for word senses. Taher has contributed to the field with several publications, including two best paper nominees at ACL 2013 and ACL 2017 and a synthesis book on Embeddings in NLP.
Natural Language Processing Lexical semantics Semantic representation Word Sense Disambiguation
- PheneBank: a literature-based database of phenotypes. MT Pilehvar, D Smedley, A Bernard, N Collier, Bioinformatics, 2021.
- How Does Fine-tuning Affect the Geometry of Embedding Space: A Case Study on Isotropy. S Rajaee, MT Pilehvar, EMNLP 2021.
- Don't Discard All the Biased Instances: Investigating a Core Assumption in Dataset Bias Mitigation Techniques. H Amirkhani, MT Pilehvar, EMNLP 2021.
- Analysis and Evaluation of Language Models for Word Sense Disambiguation. D Loureiro, K Rezaee, MT Pilehvar, J Camacho-Collados, Computational Linguistics, 2021.
- A Cluster-based Approach for Improving Isotropy in Contextual Embedding Space. S Rajaee, MT Pilehvar, ACL 2021.
- Exploring the Role of BERT Token Representations to Explain Sentence Probing Results. H Mohebbi, A Modarressi, MT Pilehvar, EMNLP 2021.
- WiC-TSV: An Evaluation Benchmark for Target Sense Verification of Words in Context. A Breit, A Revenko, K Rezaee, MT Pilehvar, J Camacho-Collados, EACL 2021.
- WiC: the Word-in-Context Dataset for Evaluating Context-Sensitive Meaning Representations, MT Pilehvar, J Camacho-Collados, NAACL 2019.
- From Word to Sense Embeddings: A Survey on Vector Representations of Meaning, J Camacho-Collados, MT Pilehvar, JAIR, 2018.
- Align, Disambiguate and Walk: A Unified Approach for Measuring Semantic Similarity, MT Pilehvar, D Jurgens, R Navigli, ACL 2013.