A novel approach for ranking spelling error corrections for Urdu. - Tahira Naseem; Sarmad Hussain (Lang. Resour. Evaluation, 2007)

Unsupervised Multilingual Learning for POS Tagging. - Benjamin Snyder; Tahira Naseem; Jacob Eisenstein; Regina Barzilay (EMNLP, 2008)

Unsupervised Multilingual Grammar Induction. - Benjamin Snyder; Tahira Naseem; Regina Barzilay (ACL/IJCNLP, 2009)

Adding More Languages Improves Unsupervised Multilingual Part-of-Speech Tagging: a Bayesian Non-Parametric Approach. - Benjamin Snyder; Tahira Naseem; Jacob Eisenstein; Regina Barzilay (HLT-NAACL, 2009)

Multilingual Part-of-Speech Tagging: Two Unsupervised Approaches. - Tahira Naseem; Benjamin Snyder; Jacob Eisenstein; Regina Barzilay (J. Artif. Intell. Res., 2009)

Using Universal Linguistic Knowledge to Guide Grammar Induction. - Tahira Naseem; Harr Chen; Regina Barzilay; Mark Johnson (EMNLP, 2010)

Using Semantic Cues to Learn Syntax. - Tahira Naseem; Regina Barzilay (AAAI, 2011)

In-domain Relation Discovery with Meta-constraints via Posterior Regularization. - Harr Chen; Edward Benson; Tahira Naseem; Regina Barzilay (ACL, 2011)

Selective Sharing for Multilingual Dependency Parsing. - Tahira Naseem; Regina Barzilay; Amir Globerson (ACL (1), 2012)

Linguistically motivated models for lightly-supervised dependency parsing. - Tahira Naseem (2014)

IBM Research at the CoNLL 2018 Shared Task on Multilingual Parsing. - Hui Wan 001; Tahira Naseem; Young-Suk Lee; Vittorio Castelli; Miguel Ballesteros (CoNLL Shared Task (2), 2018)

Rewarding Smatch: Transition-Based AMR Parsing with Reinforcement Learning. - Tahira Naseem; Abhishek Shah; Hui Wan 001; Radu Florian; Salim Roukos; Miguel Ballesteros (ACL (1), 2019)

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 001; Radu Florian; Salim Roukos (ACL, 2020)

Transition-based Parsing with Stack-Transformers. - Ramón Fernandez Astudillo; Miguel Ballesteros; Tahira Naseem; Austin Blodgett; Radu Florian (EMNLP (Findings), 2020)

Pushing the Limits of AMR Parsing with Self-Learning. - Young-Suk Lee 001; Ramón Fernandez Astudillo; Tahira Naseem; Revanth Gangi Reddy; Radu Florian; Salim Roukos (EMNLP (Findings), 2020)

Event Presence Prediction Helps Trigger Detection Across Languages. - Parul Awasthy; Tahira Naseem; Jian Ni; Taesun Moon; Radu Florian (CoRR, 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 001; Cristina Cornelio; Saswati Dana; Achille Fokoue; Dinesh Garg; Alfio Gliozzo; et al. (CoRR, 2020)

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 001; Cristina Cornelio; Saswati Dana; Achille Fokoue; Dinesh Garg; Alfio Gliozzo; et al. (ACL/IJCNLP (Findings), 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 001; Pavan Kapanipathi; Salim Roukos; Alfio Gliozzo; Alexander G. Gray (ACL/IJCNLP (2), 2021)

Structural Guidance for Transformer Language Models. - Peng Qian; Tahira Naseem; Roger Levy; Ramón Fernandez Astudillo (ACL/IJCNLP (1), 2021)

Bootstrapping Multilingual AMR with Contextual Word Alignments. - Janaki Sheth; Young-Suk Lee 001; Ramón Fernandez Astudillo; Tahira Naseem; Radu Florian; Salim Roukos; Todd Ward (EACL, 2021)

Structure-aware Fine-tuning of Sequence-to-sequence Transformers for Transition-based AMR Parsing. - Jiawei Zhou 001; Tahira Naseem; Ramón Fernandez Astudillo; Young-Suk Lee 001; Radu Florian; Salim Roukos (EMNLP (1), 2021)

AMR Parsing with Action-Pointer Transformer. - Jiawei Zhou 001; Tahira Naseem; Ramón Fernandez Astudillo; Radu Florian (NAACL-HLT, 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 (ISWC, 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)

Learning to Transpile AMR into SPARQL. - Mihaela A. Bornea; Ramón Fernandez Astudillo; Tahira Naseem; Nandana Mihindukulasooriya; Ibrahim Abdelaziz; Pavan Kapanipathi; Radu Florian; Salim Roukos (CoRR, 2021)

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 001 (EMNLP, 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 (EMNLP (Findings), 2022)

Inducing and Using Alignments for Transition-based AMR Parsing. - Andrew Drozdov; Jiawei Zhou 001; Radu Florian; Andrew McCallum; Tahira Naseem; Yoon Kim; Ramón Fernandez Astudillo (NAACL-HLT, 2022)

Maximum Bayes Smatch Ensemble Distillation for AMR Parsing. - Young-Suk Lee 001; Ramón Fernandez Astudillo; Hoang Thanh Lam; Tahira Naseem; Radu Florian; Salim Roukos (NAACL-HLT, 2022)

DocAMR: Multi-Sentence AMR Representation and Evaluation. - Tahira Naseem; Austin Blodgett; Sadhana Kumaravel; Tim O'Gorman; Young-Suk Lee 001; Jeffrey Flanigan; Ramón Fernandez Astudillo; Radu Florian; Salim Roukos; Nathan Schneider 001 (NAACL-HLT, 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)

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 (ACL (1), 2023)

Alignment via Mutual Information. - Shinjini Ghosh; Yoon Kim; Ramón Fernandez Astudillo; Tahira Naseem; Jacob Andreas (CoNLL, 2023)

Ensemble-Instruct: Instruction Tuning Data Generation with a Heterogeneous Mixture of LMs. - Young-Suk Lee 001; Md. Arafat Sultan; Yousef El-Kurdi; Tahira Naseem; Asim Munawar; Radu Florian; Salim Roukos; Ramón Fernandez Astudillo (EMNLP (Findings), 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 001; Ejaz Ahmad Ansari; Muhammad A. B. Fayyaz; Ali R. Ansari; Raheel Nawaz (IEEE Access, 2023)

AMR Parsing with Instruction Fine-tuned Pre-trained Language Models. - Young-Suk Lee 001; Ramón Fernandez Astudillo; Radu Florian; Tahira Naseem; Salim Roukos (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)

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 001 (CoRR, 2023)

Ensemble-Instruct: Generating Instruction-Tuning Data with a Heterogeneous Mixture of LMs. - Young-Suk Lee 001; Md. Arafat Sultan; Yousef El-Kurdi; Tahira Naseem; Asim Munawar; Radu Florian; Salim Roukos; Ramón Fernandez Astudillo (CoRR, 2023)

A Grounded Preference Model for LLM Alignment. - Tahira Naseem; Guangxuan Xu; Sarathkrishna Swaminathan; Asaf Yehudai; Subhajit Chaudhury; Radu Florian; Ramón Fernandez Astudillo; Asim Munawar (ACL (Findings), 2024)

BRAIn: Bayesian Reward-conditioned Amortized Inference for natural language generation from feedback. - Gaurav Pandey 001; Yatin Nandwani; Tahira Naseem; Mayank Mishra; Guangxuan Xu; Dinesh Raghu; Sachindra Joshi; Asim Munawar; Ramón Fernandez Astudillo (ICML, 2024)

Self-Refinement of Language Models from External Proxy Metrics Feedback. - Keshav Ramji; Young-Suk Lee 001; Ramón Fernandez Astudillo; Md. Arafat Sultan; Tahira Naseem; Asim Munawar; Radu Florian; Salim Roukos (CoRR, 2024)

Insertion Language Models: Sequence Generation with Arbitrary-Position Insertions. - Dhruvesh Patel; Aishwarya Sahoo; Avinash Amballa; Tahira Naseem; Tim G. J. Rudner; Andrew McCallum (CoRR, 2025)

Latent Principle Discovery for Language Model Self-Improvement. - Keshav Ramji; Tahira Naseem; Ramón Fernandez Astudillo (CoRR, 2025)

Optimal Policy Minimum Bayesian Risk. - Ramón Fernandez Astudillo; Md. Arafat Sultan; Aashka Trivedi; Yousef El-Kurdi; Tahira Naseem; Radu Florian; Salim Roukos (CoRR, 2025)