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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 11 of 11 1 Disfl-QA: A Benchmark Dataset for Understanding Disfluencies in Question Answering ... The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021; Faruqui, Manaal; Gupta, Aditya. - : Underline Science Inc., 2021 BASE Show details 2 Multilingual ATIS Upadhyay, Shyam; Hakkani-Tur, Dilek; Tur, Gokhan. - : Linguistic Data Consortium, 2019. : https://www.ldc.upenn.edu, 2019 BASE Show details 3 Multilingual ATIS ... Upadhyay, Shyam; Hakkani-Tur, Dilek; Tur, Gokhan. - : Linguistic Data Consortium, 2019 BASE Show details 4 Exploiting Cross-Lingual Representations For Natural Language Processing Upadhyay, Shyam In: Publicly Accessible Penn Dissertations (2019) Abstract: Traditional approaches to supervised learning require a generous amount of labeled data for good generalization. While such annotation-heavy approaches have proven useful for some Natural Language Processing (NLP) tasks in high-resource languages (like English), they are unlikely to scale to languages where collecting labeled data is di cult and time-consuming. Translating supervision available in English is also not a viable solution, because developing a good machine translation system requires expensive to annotate resources which are not available for most languages. In this thesis, I argue that cross-lingual representations are an effective means of extending NLP tools to languages beyond English without resorting to generous amounts of annotated data or expensive machine translation. These representations can be learned in an inexpensive manner, often from signals completely unrelated to the task of interest. I begin with a review of different ways of inducing such representations using a variety of cross-lingual signals and study algorithmic approaches of using them in a diverse set of downstream tasks. Examples of such tasks covered in this thesis include learning representations to transfer a trained model across languages for document classification, assist in monolingual lexical semantics like word sense induction, identify asymmetric lexical relationships like hypernymy between words in different languages, or combining supervision across languages through a shared feature space for cross-lingual entity linking. In all these applications, the representations make information expressed in other languages available in English, while requiring minimal additional supervision in the language of interest. Keyword: Computer Sciences; cross-lingual; low supervision; multilingual; natural language processing; representation learning URL: https://repository.upenn.edu/cgi/viewcontent.cgi?article=5051&context=edissertations https://repository.upenn.edu/edissertations/3265 BASE Hide details 5 Exploiting Cross-lingual Representations for Natural Language Processing Upadhyay, Shyam In: Dissertations available from ProQuest (2019) BASE Show details 6 Joint Multilingual Supervision for Cross-lingual Entity Linking ... Upadhyay, Shyam; Gupta, Nitish; Roth, Dan. - : arXiv, 2018 BASE Show details 7 Bootstrapping Transliteration with Constrained Discovery for Low-Resource Languages ... Upadhyay, Shyam; Kodner, Jordan; Roth, Dan. - : arXiv, 2018 BASE Show details 8 Robust Cross-lingual Hypernymy Detection using Dependency Context ... Upadhyay, Shyam; Vyas, Yogarshi; Carpuat, Marine. - : arXiv, 2018 BASE Show details 9 Beyond Bilingual: Multi-sense Word Embeddings using Multilingual Context ... Upadhyay, Shyam; Chang, Kai-Wei; Taddy, Matt. - : arXiv, 2017 BASE Show details 10 Equation Parsing: Mapping Sentences to Grounded Equations ... Roy, Subhro; Upadhyay, Shyam; Roth, Dan. - : arXiv, 2016 BASE Show details 11 Cross-lingual Models of Word Embeddings: An Empirical Comparison ... Upadhyay, Shyam; Faruqui, Manaal; Dyer, Chris. - : arXiv, 2016 BASE Show details

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