Yadollah Yaghoobzadeh
Cited by
Cited by
Corpus-level fine-grained entity typing using contextual information
Y Yaghoobzadeh, H Schütze
The 2015 Conference on Empirical Methods in Natural Language Processing …, 2015
Noise Mitigation for Neural Entity Typing and Relation Extraction
Y Yaghoobzadeh, H Adel, H Schütze
EACL (1), 1183-1194, 2017
Intrinsic subspace evaluation of word embedding representations
Y Yaghoobzadeh, H Schütze
ACL, 2016
Multi-level representations for fine-grained typing of knowledge base entities
Y Yaghoobzadeh, H Schütze
EACL (1), 578–589, 2017
Corpus-level fine-grained entity typing
Y Yaghoobzadeh, H Adel, H Schütze
Journal of Artificial Intelligence Research 61, 835-862, 2018
Probing for Semantic Classes: Diagnosing the Meaning Content of Word Embeddings
Y Yaghoobzadeh, K Kann, TJ Hazen, E Agirre, H Schütze
ACL 2019, 2019
Recurrent One-Hop Predictions for Reasoning over Knowledge Graphs
W Yin, Y Yaghoobzadeh, H Schütze
COLING 2018, 2018
Increasing Robustness to Spurious Correlations using Forgettable Examples
Y Yaghoobzadeh, S Mehri, R Tachet, TJ Hazen, A Sordoni
EACL 2021, 2021
Parsinlu: a suite of language understanding challenges for persian
D Khashabi, A Cohan, S Shakeri, P Hosseini, P Pezeshkpour, M Alikhani, ...
TACL, 2021
Robust natural language inference models with example forgetting
Y Yaghoobzadeh, R Tachet, TJ Hazen, A Sordoni
arXiv e-prints, arXiv: 1911.03861, 2019
ISO-TimeML Event Extraction in Persian Text
Y Yaghoobzadeh, G Ghassem-san, M Eshaghzadeh, SA Mirroshandel
COLING, 2931–2944, 2012
Quantifying the Contextualization of Word Representations with Semantic Class Probing
M Zhao, P Dufter, Y Yaghoobzadeh, H Schütze
EMNLP (Findings), 2020
Method and system for automatically extracting relevant tax terms from forms and instructions
S Mukherjee, Y Yaghoobzadeh
US Patent App. 15/488,052, 2018
Loss-aware pattern inference: A correction on the wrongly claimed limitations of embedding models
M Nayyeri, C Xu, Y Yaghoobzadeh, S Vahdati, MM Alam, HS Yazdi, ...
Pacific-Asia Conference on Knowledge Discovery and Data Mining, 77-89, 2021
Multi-Multi-View Learning: Multilingual and Multi-Representation Entity Typing
Y Yaghoobzadeh, H Schütze
EMNLP, 3060–3066, 2018
Unsupervised Domain Adaptation of Contextual Embeddings for Low-Resource Duplicate Question Detection
A Rochette, Y Yaghoobzadeh, TJ Hazen
life-long-learning@ASRU19, 2019
Evaluating Word Embeddings in Multi-label Classification Using Fine-grained Name Typing
Y Yaghoobzadeh, K Kann, H Schütze
The Third Workshop on Representation Learning for NLP, 2018
Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models
A Srivastava, A Rastogi, A Rao, AAM Shoeb, A Abid, A Fisch, AR Brown, ...
arXiv preprint arXiv:2206.04615, 2022
Temporal relation classification in Persian and English contexts
ME Torbati, G Ghassem-Sani, SA Mirroshandel, Y Yaghoobzadeh, ...
Proceedings of the International Conference Recent Advances in Natural …, 2013
GlobEnc: Quantifying Global Token Attribution by Incorporating the Whole Encoder Layer in Transformers
A Modarressi, M Fayyaz, Y Yaghoobzadeh, MT Pilehvar
NAACL 2022, 2022
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