Researcher profile

Wael Hamza

7 papers in the PaperMetrix corpus

Publications

Papers by this author

  1. A Unified Query-based Generative Model for Question Generation and Question Answering

    2017 · arXiv (Cornell University)

    We propose a query-based generative model for solving both tasks of question generation (QG) and question an- swering (QA). The model follows the classic encoder- decoder framework. The encoder takes a passage and a query …

  2. Neural Cross-Lingual Coreference Resolution and its Application to\n Entity Linking

    2018 · arXiv (Cornell University)

    We propose an entity-centric neural cross-lingual coreference model that\nbuilds on multi-lingual embeddings and language-independent features. We\nperform both intrinsic and extrinsic evaluations of our model. In the intrinsic\nevaluation, we show that our model, when trained on …

  3. Low-Resource Compositional Semantic Parsing with Concept Pretraining

    2023 · arXiv (Cornell University)

    Semantic parsing plays a key role in digital voice assistants such as Alexa, Siri, and Google Assistant by mapping natural language to structured meaning representations. When we want to improve the capabilities of a voice …

  4. CLASP: Few-Shot Cross-Lingual Data Augmentation for Semantic Parsing

    2022

    Andy Rosenbaum, Saleh Soltan, Wael Hamza, Marco Damonte, Isabel Groves, Amir Saffari. Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural …

  5. Bilateral Multi-Perspective Matching for Natural Language Sentences

    2017 · arXiv (Cornell University)

    Natural language sentence matching is a fundamental technology for a variety of tasks. Previous approaches either match sentences from a single direction or only apply single granular (word-by-word or sentence-by-sentence) matching. In this work, we …

  6. Neural Cross-Lingual Entity Linking

    2018 · Proceedings of the AAAI Conference on Artificial Intelligence

    A major challenge in Entity Linking (EL) is making effective use of contextual information to disambiguate mentions to Wikipedia that might refer to different entities in different contexts. The problem exacerbates with cross-lingual EL which …

  7. Leveraging Context Information for Natural Question Generation

    2018

    Linfeng Song, Zhiguo Wang, Wael Hamza, Yue Zhang, Daniel Gildea. Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 2 (Short Papers). 2018.