Tahira Naseem

According to our database, Tahira Naseem authored at least 42 papers between 2007 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Self-Refinement of Language Models from External Proxy Metrics Feedback.

Keshav Ramji, Young-Suk Lee, Ramón Fernandez Astudillo, Md. Arafat Sultan, Tahira Naseem, Asim Munawar, Radu Florian, Salim Roukos

CoRR, 2024

BRAIn: Bayesian Reward-conditioned Amortized Inference for natural language generation from feedback.

Gaurav Pandey, Yatin Nandwani, Tahira Naseem, Mayank Mishra, Guangxuan Xu, Dinesh Raghu, Sachindra Joshi, Asim Munawar, Ramón Fernandez Astudillo

CoRR, 2024

2023

Ensemble-Instruct: Generating Instruction-Tuning Data with a Heterogeneous Mixture of LMs.

Young-Suk Lee, Md. Arafat Sultan, Yousef El-Kurdi, Tahira Naseem, Asim Munawar, Radu Florian, Salim Roukos, Ramón Fernandez Astudillo

CoRR, 2023

Scalable Learning of Latent Language Structure With Logical Offline Cycle Consistency.

Maxwell Crouse, Ramón Fernandez Astudillo, Tahira Naseem, Subhajit Chaudhury, Pavan Kapanipathi, Salim Roukos, Alexander Gray

CoRR, 2023

Slide, Constrain, Parse, Repeat: Synchronous SlidingWindows for Document AMR Parsing.

Sadhana Kumaravel, Tahira Naseem, Ramón Fernandez Astudillo, Radu Florian, Salim Roukos

CoRR, 2023

AMR Parsing with Instruction Fine-tuned Pre-trained Language Models.

Young-Suk Lee, Ramón Fernandez Astudillo, Radu Florian, Tahira Naseem, Salim Roukos

CoRR, 2023

Design of an EnergyPlus Model-Based Smart Controller for Maintaining Thermal Comfortable Environment in Non-Domestic Building.

Tahira Naseem, Abbas Javed, Mirza Tariq Hamayun, Muhammad Jawad, Ejaz Ahmad Ansari, Muhammad A. B. Fayyaz, Ali R. Ansari, Raheel Nawaz

IEEE Access, 2023

Ensemble-Instruct: Instruction Tuning Data Generation with a Heterogeneous Mixture of LMs.

Young-Suk Lee, Md. Arafat Sultan, Yousef El-Kurdi, Tahira Naseem, Asim Munawar, Radu Florian, Salim Roukos, Ramón Fernandez Astudillo

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Alignment via Mutual Information.

Shinjini Ghosh, Yoon Kim, Ramón Fernandez Astudillo, Tahira Naseem, Jacob Andreas

Proceedings of the 27th Conference on Computational Natural Language Learning, 2023

Laziness Is a Virtue When It Comes to Compositionality in Neural Semantic Parsing.

Maxwell Crouse, Pavan Kapanipathi, Subhajit Chaudhury, Tahira Naseem, Ramón Fernandez Astudillo, Achille Fokoue, Tim Klinger

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

CBR-iKB: A Case-Based Reasoning Approach for Question Answering over Incomplete Knowledge Bases.

Dung Thai, Srinivas Ravishankar, Ibrahim Abdelaziz, Mudit Chaudhary, Nandana Mihindukulasooriya, Tahira Naseem, Rajarshi Das, Pavan Kapanipathi, Achille Fokoue, Andrew McCallum

CoRR, 2022

DocAMR: Multi-Sentence AMR Representation and Evaluation.

Tahira Naseem, Austin Blodgett, Sadhana Kumaravel, Tim O'Gorman, Young-Suk Lee, Jeffrey Flanigan, Ramón Fernandez Astudillo, Radu Florian, Salim Roukos, Nathan Schneider

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Maximum Bayes Smatch Ensemble Distillation for AMR Parsing.

Young-Suk Lee, Ramón Fernandez Astudillo, Hoang Thanh Lam, Tahira Naseem, Radu Florian, Salim Roukos

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Inducing and Using Alignments for Transition-based AMR Parsing.

Andrew Drozdov, Jiawei Zhou, Radu Florian, Andrew McCallum, Tahira Naseem, Yoon Kim, Ramón Fernandez Astudillo

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

A Two-Stage Approach towards Generalization in Knowledge Base Question Answering.

Srinivas Ravishankar, Dung Thai, Ibrahim Abdelaziz, Nandana Mihindukulasooriya, Tahira Naseem, Pavan Kapanipathi, Gaetano Rossiello, Achille Fokoue

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

X-FACTOR: A Cross-metric Evaluation of Factual Correctness in Abstractive Summarization.

Subhajit Chaudhury, Sarathkrishna Swaminathan, R. Chulaka Gunasekara, Maxwell Crouse, Srinivas Ravishankar, Daiki Kimura, Keerthiram Murugesan, Ramón Fernandez Astudillo, Tahira Naseem, Pavan Kapanipathi, Alexander Gray

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2021

Learning to Transpile AMR into SPARQL.

Mihaela Bornea, Ramón Fernandez Astudillo, Tahira Naseem, Nandana Mihindukulasooriya, Ibrahim Abdelaziz, Pavan Kapanipathi, Radu Florian, Salim Roukos

CoRR, 2021

A Two-Stage Approach towards Generalization in Knowledge Base Question Answering.

Srinivas Ravishankar, June Thai, Ibrahim Abdelaziz, Nandana Mihindukulasooriya, Tahira Naseem, Pavan Kapanipathi, Gaetano Rossiello, Achille Fokoue

CoRR, 2021

Generative Relation Linking for Question Answering over Knowledge Bases.

Gaetano Rossiello, Nandana Mihindukulasooriya, Ibrahim Abdelaziz, Mihaela A. Bornea, Alfio Gliozzo, Tahira Naseem, Pavan Kapanipathi

Proceedings of the Semantic Web - ISWC 2021 - 20th International Semantic Web Conference, 2021

AMR Parsing with Action-Pointer Transformer.

Jiawei Zhou, Tahira Naseem, Ramón Fernandez Astudillo, Radu Florian

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Structure-aware Fine-tuning of Sequence-to-sequence Transformers for Transition-based AMR Parsing.

Jiawei Zhou, Tahira Naseem, Ramón Fernandez Astudillo, Young-Suk Lee, Radu Florian, Salim Roukos

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Bootstrapping Multilingual AMR with Contextual Word Alignments.

Janaki Sheth, Young-Suk Lee, Ramón Fernandez Astudillo, Tahira Naseem, Radu Florian, Salim Roukos, Todd Ward

Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

Structural Guidance for Transformer Language Models.

Peng Qian, Tahira Naseem, Roger Levy, Ramón Fernandez Astudillo

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

A Semantics-aware Transformer Model of Relation Linking for Knowledge Base Question Answering.

Tahira Naseem, Srinivas Ravishankar, Nandana Mihindukulasooriya, Ibrahim Abdelaziz, Young-Suk Lee, Pavan Kapanipathi, Salim Roukos, Alfio Gliozzo, Alexander G. Gray

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Leveraging Abstract Meaning Representation for Knowledge Base Question Answering.

Pavan Kapanipathi, Ibrahim Abdelaziz, Srinivas Ravishankar, Salim Roukos, Alexander G. Gray, Ramón Fernandez Astudillo, Maria Chang, Cristina Cornelio, Saswati Dana, Achille Fokoue, Dinesh Garg, Alfio Gliozzo, Sairam Gurajada, Hima Karanam, Naweed Khan, Dinesh Khandelwal, Young-Suk Lee, Yunyao Li, Francois P. S. Luus, Ndivhuwo Makondo, Nandana Mihindukulasooriya, Tahira Naseem, Sumit Neelam, Lucian Popa, Revanth Gangi Reddy, Ryan Riegel, Gaetano Rossiello, Udit Sharma, G. P. Shrivatsa Bhargav, Mo Yu

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

2020

Question Answering over Knowledge Bases by Leveraging Semantic Parsing and Neuro-Symbolic Reasoning.

Pavan Kapanipathi, Ibrahim Abdelaziz, Srinivas Ravishankar, Salim Roukos, Alexander G. Gray, Ramón Fernandez Astudillo, Maria Chang, Cristina Cornelio, Saswati Dana, Achille Fokoue, Dinesh Garg, Alfio Gliozzo, Sairam Gurajada, Hima Karanam, Naweed Khan, Dinesh Khandelwal, Young-Suk Lee, Yunyao Li, Francois P. S. Luus, Ndivhuwo Makondo, Nandana Mihindukulasooriya, Tahira Naseem, Sumit Neelam, Lucian Popa, Revanth Gangi Reddy, Ryan Riegel, Gaetano Rossiello, Udit Sharma, G. P. Shrivatsa Bhargav, Mo Yu

CoRR, 2020

Event Presence Prediction Helps Trigger Detection Across Languages.

Parul Awasthy, Tahira Naseem, Jian Ni, Taesun Moon, Radu Florian

CoRR, 2020

Pushing the Limits of AMR Parsing with Self-Learning.

Young-Suk Lee, Ramón Fernandez Astudillo, Tahira Naseem, Revanth Gangi Reddy, Radu Florian, Salim Roukos

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Transition-based Parsing with Stack-Transformers.

Ramón Fernandez Astudillo, Miguel Ballesteros, Tahira Naseem, Austin Blodgett, Radu Florian

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

GPT-too: A Language-Model-First Approach for AMR-to-Text Generation.

Manuel Mager, Ramón Fernandez Astudillo, Tahira Naseem, Md. Arafat Sultan, Young-Suk Lee, Radu Florian, Salim Roukos

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019

Rewarding Smatch: Transition-Based AMR Parsing with Reinforcement Learning.

Tahira Naseem, Abhishek Shah, Hui Wan, Radu Florian, Salim Roukos, Miguel Ballesteros

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018

IBM Research at the CoNLL 2018 Shared Task on Multilingual Parsing.

Hui Wan, Tahira Naseem, Young-Suk Lee, Vittorio Castelli, Miguel Ballesteros

Proceedings of the CoNLL 2018 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies, Brussels, Belgium, October 31, 2018

2014

Linguistically motivated models for lightly-supervised dependency parsing.

Tahira Naseem

PhD thesis, 2014

2012

Selective Sharing for Multilingual Dependency Parsing.

Tahira Naseem, Regina Barzilay, Amir Globerson

Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference, July 8-14, 2012, Jeju Island, Korea, 2012

2011

In-domain Relation Discovery with Meta-constraints via Posterior Regularization.

Harr Chen, Edward Benson, Tahira Naseem, Regina Barzilay

Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, 2011

Using Semantic Cues to Learn Syntax.

Tahira Naseem, Regina Barzilay

Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011

2010

Using Universal Linguistic Knowledge to Guide Grammar Induction.

Tahira Naseem, Harr Chen, Regina Barzilay, Mark Johnson

Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing, 2010

2009

Multilingual Part-of-Speech Tagging: Two Unsupervised Approaches.

Tahira Naseem, Benjamin Snyder, Jacob Eisenstein, Regina Barzilay

J. Artif. Intell. Res., 2009

Adding More Languages Improves Unsupervised Multilingual Part-of-Speech Tagging: a Bayesian Non-Parametric Approach.

Benjamin Snyder, Tahira Naseem, Jacob Eisenstein, Regina Barzilay

Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, Proceedings, May 31, 2009

Unsupervised Multilingual Grammar Induction.

Benjamin Snyder, Tahira Naseem, Regina Barzilay

Proceedings of the ACL 2009, 2009

2008

Unsupervised Multilingual Learning for POS Tagging.

Benjamin Snyder, Tahira Naseem, Jacob Eisenstein, Regina Barzilay

Proceedings of the 2008 Conference on Empirical Methods in Natural Language Processing, 2008

2007

A novel approach for ranking spelling error corrections for Urdu.

Tahira Naseem, Sarmad Hussain

Lang. Resour. Evaluation, 2007