Search Results - "Pilehvar, Mohammad Taher"

From Word To Sense Embeddings: A Survey on Vector Representations of Meaning by Camacho-Collados, Jose, Pilehvar, Mohammad Taher

“…Over the past years, distributed semantic representations have proved to be effective and flexible keepers of prior knowledge to be integrated into downstream…”
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What's missing in geographical parsing? by Gritta, Milan, Pilehvar, Mohammad Taher, Limsopatham, Nut, Collier, Nigel

“…Geographical data can be obtained by converting place names from free-format text into geographical coordinates. The ability to geo-locate events in textual…”
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Analysis and Evaluation of Language Models for Word Sense Disambiguation by Loureiro, Daniel, Rezaee, Kiamehr, Pilehvar, Mohammad Taher, Camacho-Collados, Jose

“…Transformer-based language models have taken many fields in NLP by storm. BERT and its derivatives dominate most of the existing evaluation benchmarks,…”
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Pars-OFF: A Benchmark for Offensive Language Detection on Farsi Social Media by Ataei, Taha Shangipour, Darvishi, Kamyar, Javdan, Soroush, Pourdabiri, Amin, Minaei-Bidgoli, Behrouz, Pilehvar, Mohammad Taher

“…With the increasing use of social media with its ability for users to share comments immediately, the extent of a system to identify offensive content has…”
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From senses to texts: An all-in-one graph-based approach for measuring semantic similarity by Pilehvar, Mohammad Taher, Navigli, Roberto

“…Quantifying semantic similarity between linguistic items lies at the core of many applications in Natural Language Processing and Artificial Intelligence. It…”
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A pragmatic guide to geoparsing evaluation: Toponyms, Named Entity Recognition and pragmatics by Gritta, Milan, Pilehvar, Mohammad Taher, Collier, Nigel

“…Empirical methods in geoparsing have thus far lacked a standard evaluation framework describing the task, metrics and data used to compare state-of-the-art…”
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Nasari: Integrating explicit knowledge and corpus statistics for a multilingual representation of concepts and entities by Camacho-Collados, José, Pilehvar, Mohammad Taher, Navigli, Roberto

“…Owing to the need for a deep understanding of linguistic items, semantic representation is considered to be one of the fundamental components of several…”
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PheneBank: a literature-based database of phenotypes by Pilehvar, Mohammad Taher, Bernard, Adam, Smedley, Damian, Collier, Nigel

“…Abstract Motivation Significant effort has been spent by curators to create coding systems for phenotypes such as the Human Phenotype Ontology, as well as…”
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A pragmatic guide to geoparsing evaluation by Gritta Milan, Pilehvar Mohammad Taher, Collier, Nigel

“…Empirical methods in geoparsing have thus far lacked a standard evaluation framework describing the task, metrics and data used to compare state-of-the-art…”
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Towards a Seamless Integration of Word Senses into Downstream NLP Applications by Pilehvar, Mohammad Taher, Camacho-Collados, Jose, Navigli, Roberto, Collier, Nigel

“…Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), Vancouver, Canada (2017), pages 1857-1869…”
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Cross level semantic similarity: an evaluation framework for universal measures of similarity by Jurgens, David, Pilehvar, Mohammad Taher, Navigli, Roberto

“…Semantic similarity has typically been measured across items of approximately similar sizes. As a result, similarity measures have largely ignored the fact…”
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Vafa spell-checker for detecting spelling, grammatical, and real-word errors of Persian language by Faili, Heshaam, Ehsan, Nava, Montazery, Mortaza, Pilehvar, Mohammad Taher

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An Isotropy Analysis in the Multilingual BERT Embedding Space by Rajaee, Sara, Pilehvar, Mohammad Taher

“…Several studies have explored various advantages of multilingual pre-trained models (such as multilingual BERT) in capturing shared linguistic knowledge…”
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How Does Fine-tuning Affect the Geometry of Embedding Space: A Case Study on Isotropy by Rajaee, Sara, Pilehvar, Mohammad Taher

“…It is widely accepted that fine-tuning pre-trained language models usually brings about performance improvements in downstream tasks. However, there are…”
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Don't Discard All the Biased Instances: Investigating a Core Assumption in Dataset Bias Mitigation Techniques by Amirkhani, Hossein, Pilehvar, Mohammad Taher

“…Existing techniques for mitigating dataset bias often leverage a biased model to identify biased instances. The role of these biased instances is then reduced…”
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RepMatch: Quantifying Cross-Instance Similarities in Representation Space by Modarres, Mohammad Reza, Abbasi, Sina, Pilehvar, Mohammad Taher

“…Advances in dataset analysis techniques have enabled more sophisticated approaches to analyzing and characterizing training data instances, often categorizing…”
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Guide the Learner: Controlling Product of Experts Debiasing Method Based on Token Attribution Similarities by Modarressi, Ali, Amirkhani, Hossein, Pilehvar, Mohammad Taher

“…Several proposals have been put forward in recent years for improving out-of-distribution (OOD) performance through mitigating dataset biases. A popular…”
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A Cluster-based Approach for Improving Isotropy in Contextual Embedding Space by Rajaee, Sara, Pilehvar, Mohammad Taher

“…The representation degeneration problem in Contextual Word Representations (CWRs) hurts the expressiveness of the embedding space by forming an anisotropic…”
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Looking at the Overlooked: An Analysis on the Word-Overlap Bias in Natural Language Inference by Rajaee, Sara, Yaghoobzadeh, Yadollah, Pilehvar, Mohammad Taher

“…It has been shown that NLI models are usually biased with respect to the word-overlap between premise and hypothesis; they take this feature as a primary cue…”
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SkipPLUS: Skip the First Few Layers to Better Explain Vision Transformers by Mehri, Faridoun, Fayyaz, Mohsen, Baghshah, Mahdieh Soleymani, Pilehvar, Mohammad Taher

“…Despite their remarkable performance, the explainability of Vision Transformers (ViTs) remains a challenge. While forward attention-based token attribution…”
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