Shafiq R. Joty
Orcid: 0000-0002-9222-2641Affiliations:
- Salesforce AI Research, Palo Alto, CA, USA
- Nanyang Technological University, Singapore
- Hamad Bin Khalifa University, Qatar Computing Research Institute, Qatar
- University of British Columbia, Department of Computer Science, Vancouver, Canada
According to our database1,
Shafiq R. Joty
authored at least 269 papers
between 2007 and 2024.
Collaborative distances:
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Bibliography
2024
Improving Conversational Recommender System Via Contextual and Time-Aware Modeling With Less Domain-Specific Knowledge.
IEEE Trans. Knowl. Data Eng., November, 2024
<tt>L2CEval</tt>: Evaluating Language-to-Code Generation Capabilities of Large Language Models.
Trans. Assoc. Comput. Linguistics, 2024
FaithEval: Can Your Language Model Stay Faithful to Context, Even If "The Moon is Made of Marshmallows".
CoRR, 2024
Open-RAG: Enhanced Retrieval-Augmented Reasoning with Open-Source Large Language Models.
CoRR, 2024
Can We Further Elicit Reasoning in LLMs? Critic-Guided Planning with Retrieval-Augmentation for Solving Challenging Tasks.
CoRR, 2024
Discovering the Gems in Early Layers: Accelerating Long-Context LLMs with 1000x Input Token Reduction.
CoRR, 2024
LLMs Are Biased Towards Output Formats! Systematically Evaluating and Mitigating Output Format Bias of LLMs.
CoRR, 2024
CoRR, 2024
Generalized Out-of-Distribution Detection and Beyond in Vision Language Model Era: A Survey.
CoRR, 2024
CoRR, 2024
Investigating the prompt leakage effect and black-box defenses for multi-turn LLM interactions.
CoRR, 2024
CoRR, 2024
From Pixels to Insights: A Survey on Automatic Chart Understanding in the Era of Large Foundation Models.
CoRR, 2024
Learning Planning-based Reasoning by Trajectories Collection and Process Reward Synthesizing.
CoRR, 2024
BootPIG: Bootstrapping Zero-shot Personalized Image Generation Capabilities in Pretrained Diffusion Models.
CoRR, 2024
DIVKNOWQA: Assessing the Reasoning Ability of LLMs via Open-Domain Question Answering over Knowledge Base and Text.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Short Papers, 2024
Benchmarking Generation and Evaluation Capabilities of Large Language Models for Instruction Controllable Summarization.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024
Embrace Divergence for Richer Insights: A Multi-document Summarization Benchmark and a Case Study on Summarizing Diverse Information from News Articles.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024
Chain-of-Knowledge: Grounding Large Language Models via Dynamic Knowledge Adapting over Heterogeneous Sources.
Proceedings of the Twelfth International Conference on Learning Representations, 2024
CodeChain: Towards Modular Code Generation Through Chain of Self-revisions with Representative Sub-modules.
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
A Systematic Survey and Critical Review on Evaluating Large Language Models: Challenges, Limitations, and Recommendations.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
Learning Planning-based Reasoning by Trajectories Collection and Process Reward Synthesizing.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
Open-RAG: Enhanced Retrieval Augmented Reasoning with Open-Source Large Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
P-FOLIO: Evaluating and Improving Logical Reasoning with Abundant Human-Written Reasoning Chains.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2024, 2024
Efficiently Aligned Cross-Lingual Transfer Learning for Conversational Tasks using Prompt-Tuning.
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2024, 2024
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
XL-HeadTags: Leveraging Multimodal Retrieval Augmentation for the Multilingual Generation of News Headlines and Tags.
Proceedings of the Findings of the Association for Computational Linguistics, 2024
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024
Democratizing LLMs for Low-Resource Languages by Leveraging their English Dominant Abilities with Linguistically-Diverse Prompts.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024
Proceedings of the Findings of the Association for Computational Linguistics, 2024
XCodeEval: An Execution-based Large Scale Multilingual Multitask Benchmark for Code Understanding, Generation, Translation and Retrieval.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024
Proceedings of the Findings of the Association for Computational Linguistics, 2024
2023
IEEE Trans. Comput. Soc. Syst., 2023
Do LLMs Work on Charts? Designing Few-Shot Prompts for Chart Question Answering and Summarization.
CoRR, 2023
X-InstructBLIP: A Framework for aligning X-Modal instruction-aware representations to LLMs and Emergent Cross-modal Reasoning.
CoRR, 2023
CoRR, 2023
Personalised Distillation: Empowering Open-Sourced LLMs with Adaptive Learning for Code Generation.
CoRR, 2023
L2CEval: Evaluating Language-to-Code Generation Capabilities of Large Language Models.
CoRR, 2023
CoRR, 2023
Democratizing LLMs for Low-Resource Languages by Leveraging their English Dominant Abilities with Linguistically-Diverse Prompts.
CoRR, 2023
Building Extractive Question Answering System to Support Human-AI Health Coaching Model for Sleep Domain.
CoRR, 2023
Unlocking Temporal Question Answering for Large Language Models Using Code Execution.
CoRR, 2023
LogicLLM: Exploring Self-supervised Logic-enhanced Training for Large Language Models.
CoRR, 2023
Chain of Knowledge: A Framework for Grounding Large Language Models with Structured Knowledge Bases.
CoRR, 2023
Randomized Smoothing with Masked Inference for Adversarially Robust Text Classifications.
CoRR, 2023
Modeling What-to-ask and How-to-ask for Answer-unaware Conversational Question Generation.
CoRR, 2023
A Data-centric Framework for Improving Domain-specific Machine Reading Comprehension Datasets.
CoRR, 2023
xCodeEval: A Large Scale Multilingual Multitask Benchmark for Code Understanding, Generation, Translation and Retrieval.
CoRR, 2023
CoRR, 2023
RAP-Gen: Retrieval-Augmented Patch Generation with CodeT5 for Automatic Program Repair.
Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2023
Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2023
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
Towards Low-Resource Automatic Program Repair with Meta-Learning and Pretrained Language Models.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
UniChart: A Universal Vision-language Pretrained Model for Chart Comprehension and Reasoning.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
Towards Interpretable and Efficient Automatic Reference-Based Summarization Evaluation.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
SummEdits: Measuring LLM Ability at Factual Reasoning Through The Lens of Summarization.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
Personalized Distillation: Empowering Open-Sourced LLMs with Adaptive Learning for Code Generation.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023
Did You Read the Instructions? Rethinking the Effectiveness of Task Definitions in Instruction Learning.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023
Learning to Initialize: Can Meta Learning Improve Cross-task Generalization in Prompt Tuning?
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023
Randomized Smoothing with Masked Inference for Adversarially Robust Text Classifications.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023
Revisiting the Gold Standard: Grounding Summarization Evaluation with Robust Human Evaluation.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023
Contrastive Learning with Generated Representations for Inductive Knowledge Graph Embedding.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023
Modeling What-to-ask and How-to-ask for Answer-unaware Conversational Question Generation.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023
2022
Is GPT-3 a Psychopath? Evaluating Large Language Models from a Psychological Perspective.
CoRR, 2022
BotSIM: An End-to-End Bot Simulation Toolkit for Commercial Task-Oriented Dialog Systems.
CoRR, 2022
Refining Low-Resource Unsupervised Translation by Language Disentanglement of Multilingual Model.
CoRR, 2022
LANTERN: Boredom-conscious Natural Language Description Generation of Query Execution Plans for Database Education.
Proceedings of the SIGMOD '22: International Conference on Management of Data, Philadelphia, PA, USA, June 12, 2022
Refining Low-Resource Unsupervised Translation by Language Disentanglement of Multilingual Translation Model.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the Machine Learning for Health, 2022
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022
LFPT5: A Unified Framework for Lifelong Few-shot Language Learning Based on Prompt Tuning of T5.
Proceedings of the Tenth International Conference on Learning Representations, 2022
Proceedings of the Tenth International Conference on Learning Representations, 2022
BotSIM: An End-to-End Bot Simulation Framework for Commercial Task-Oriented Dialog Systems.
Proceedings of the The 2022 Conference on Empirical Methods in Natural Language Processing, 2022
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022
Proceedings of the 29th International Conference on Computational Linguistics, 2022
Proceedings of the 29th International Conference on Computational Linguistics, 2022
SummaReranker: A Multi-Task Mixture-of-Experts Re-ranking Framework for Abstractive Summarization.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022
Continual Few-shot Relation Learning via Embedding Space Regularization and Data Augmentation.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022
ChartQA: A Benchmark for Question Answering about Charts with Visual and Logical Reasoning.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022
GlobalWoZ: Globalizing MultiWoZ to Develop Multilingual Task-Oriented Dialogue Systems.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2021
Towards Enhancing Database Education: Natural Language Generation Meets Query Execution Plans.
Proceedings of the SIGMOD '21: International Conference on Management of Data, 2021
Align before Fuse: Vision and Language Representation Learning with Momentum Distillation.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Industry Papers, 2021
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021
Improving Zero and Few-Shot Abstractive Summarization with Intermediate Fine-tuning and Data Augmentation.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021
Proceedings of the 38th International Conference on Machine Learning, 2021
Proceedings of the 38th International Conference on Machine Learning, 2021
Proceedings of the IEEE International Conference on Acoustics, 2021
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021
CodeT5: Identifier-aware Unified Pre-trained Encoder-Decoder Models for Code Understanding and Generation.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021
Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021
MulDA: A Multilingual Data Augmentation Framework for Low-Resource Cross-Lingual NER.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021
UXLA: A Robust Unsupervised Data Augmentation Framework for Zero-Resource Cross-Lingual NLP.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021
Proceedings of the Fifth Workshop on Computational Approaches to Linguistic Code-Switching, 2021
2020
An Attention-based Rumor Detection Model with Tree-structured Recursive Neural Networks.
ACM Trans. Intell. Syst. Technol., 2020
Video captioning with boundary-aware hierarchical language decoding and joint video prediction.
Neurocomputing, 2020
CoRR, 2020
CoRR, 2020
EMT: Explicit Memory Tracker with Coarse-to-Fine Reasoning for Conversational Machine Reading.
CoRR, 2020
Mind Your Inflections! Improving NLP for Non-Standard English with Base-Inflection Encoding.
CoRR, 2020
Can Your Context-Aware MT System Pass the DiP Benchmark Tests? : Evaluation Benchmarks for Discourse Phenomena in Machine Translation.
CoRR, 2020
Comput. Linguistics, 2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020
Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020
Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020
Proceedings of the 8th International Conference on Learning Representations, 2020
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020
Mind Your Inflections! Improving NLP for Non-Standard Englishes with Base-Inflection Encoding.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020
LNMap: Departures from Isomorphic Assumption in Bilingual Lexicon Induction Through Non-Linear Mapping in Latent Space.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020
Discern: Discourse-Aware Entailment Reasoning Network for Conversational Machine Reading.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020
Finding It at Another Side: A Viewpoint-Adapted Matching Encoder for Change Captioning.
Proceedings of the Computer Vision - ECCV 2020, 2020
It's Morphin' Time! Combating Linguistic Discrimination with Inflectional Perturbations.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020
Explicit Memory Tracker with Coarse-to-Fine Reasoning for Conversational Machine Reading.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
2019
NEURON: Query Execution Plan Meets Natural Language Processing For Augmenting DB Education.
Proceedings of the 2019 International Conference on Management of Data, 2019
Adaptation of Hierarchical Structured Models for Speech Act Recognition in Asynchronous Conversation.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019
Revisiting Adversarial Autoencoder for Unsupervised Word Translation with Cycle Consistency and Improved Training.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019
Proceedings of the 27th ACM International Conference on Multimedia, 2019
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019
A Factorial Deep Markov Model for Unsupervised Disentangled Representation Learning from Speech.
Proceedings of the IEEE International Conference on Acoustics, 2019
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019
Evaluating Pronominal Anaphora in Machine Translation: An Evaluation Measure and a Test Suite.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019
Sentence-Level Evidence Embedding for Claim Verification with Hierarchical Attention Networks.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019
Proceedings of the 57th Conference of the Association for Computational Linguistics: Tutorial Abstracts, 2019
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
2018
Models for Capturing Temporal Smoothness in Evolving Networks for Learning Latent Representation of Nodes.
CoRR, 2018
Comput. Linguistics, 2018
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018
Graph Based Semi-Supervised Learning with Convolution Neural Networks to Classify Crisis Related Tweets.
Proceedings of the Twelfth International Conference on Web and Social Media, 2018
Proceedings of the IEEE International Conference on Data Mining, 2018
Joint Multitask Learning for Community Question Answering Using Task-Specific Embeddings.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018
Proceedings of the Computer Vision - ECCV 2018, 2018
Proceedings of the Computer Vision - ECCV 2018, 2018
Look, Imagine and Match: Improving Textual-Visual Cross-Modal Retrieval With Generative Models.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018
Proceedings of the COLING 2018, 2018
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018
A Structured Learning Approach with Neural Conditional Random Fields for Sleep Staging.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018
2017
Co-Morbidity Exploration on Wearables Activity Data Using Unsupervised Pre-training and Multi-Task Learning.
CoRR, 2017
CoRR, 2017
Cross-language Learning with Adversarial Neural Networks: Application to Community Question Answering.
CoRR, 2017
Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2017
Con-S2V: A Generic Framework for Incorporating Extra-Sentential Context into Sen2Vec.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017
Proceedings of the 22nd International Conference on Intelligent User Interfaces, 2017
Robust Classification of Crisis-Related Data on Social Networks Using Convolutional Neural Networks.
Proceedings of the Eleventh International Conference on Web and Social Media, 2017
Proceedings of the 21st Conference on Computational Natural Language Learning (CoNLL 2017), 2017
Regularized and Retrofitted models for Learning Sentence Representation with Context.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017
2016
Applications of Online Deep Learning for Crisis Response Using Social Media Information.
CoRR, 2016
Rapid Classification of Crisis-Related Data on Social Networks using Convolutional Neural Networks.
CoRR, 2016
ConvKN at SemEval-2016 Task 3: Answer and Question Selection for Question Answering on Arabic and English Fora.
Proceedings of the 10th International Workshop on Semantic Evaluation, 2016
Joint Learning with Global Inference for Comment Classification in Community Question Answering.
Proceedings of the NAACL HLT 2016, 2016
Proceedings of the COLING 2016, 2016
Proceedings of the COLING 2016, 2016
Speech Act Modeling of Written Asynchronous Conversations with Task-Specific Embeddings and Conditional Structured Models.
Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016
2015
Comput. Linguistics, 2015
QCRI: Answer Selection for Community Question Answering - Experiments for Arabic and English.
Proceedings of the 9th International Workshop on Semantic Evaluation, 2015
Proceedings of Machine Translation Summit XV: Papers, 2015
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015
Global Thread-level Inference for Comment Classification in Community Question Answering.
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015
Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, 2015
Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, 2015
2014
Proceedings of the Ninth Workshop on Statistical Machine Translation, 2014
Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing, 2014
Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing, 2014
Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing, 2014
A Study of using Syntactic and Semantic Structures for Concept Segmentation and Labeling.
Proceedings of the COLING 2014, 2014
Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, 2014
2013
J. Artif. Intell. Res., 2013
Proceedings of the SIGDIAL 2013 Conference, 2013
Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, 2013
Combining Intra- and Multi-sentential Rhetorical Parsing for Document-level Discourse Analysis.
Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics, 2013
2012
Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning, 2012
2011
Improving graph-based random walks for complex question answering using syntactic, shallow semantic and extended string subsequence kernels.
Inf. Process. Manag., 2011
Proceedings of the IJCAI 2011, 2011
Proceedings of the Fifth International Conference on Weblogs and Social Media, 2011
Proceedings of the Advances in Artificial Intelligence, 2011
2010
Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing, 2010
2009
J. Artif. Intell. Res., 2009
Proceedings of the Advances in Artificial Intelligence, 2009
Do Automatic Annotation Techniques Have Any Impact on Supervised Complex Question Answering?
Proceedings of the ACL 2009, 2009
2008
Proceedings of the First Text Analysis Conference, 2008
Proceedings of the First Text Analysis Conference, 2008
Proceedings of the 20th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2008), 2008
Exploiting Syntactic and Shallow Semantic Kernels to Improve Random Walks for Complex Question Answering.
Proceedings of the 20th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2008), 2008
Proceedings of the Twenty-First International Florida Artificial Intelligence Research Society Conference, 2008
Proceedings of the 2008 Conference on Empirical Methods in Natural Language Processing, 2008
Proceedings of the ACL 2008, 2008
2007
Proceedings of The Sixteenth Text REtrieval Conference, 2007
Proceedings of the 4th International Workshop on Semantic Evaluations, 2007