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- Carnegie Mellon UniversityUS49 papers
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109 papers · 1 filter
Teaching a New Dog Old Tricks: Resurrecting Multilingual Retrieval Using Zero-shot Learning
Sean MacAvaney, Luca Soldaini, Nazli Goharian
While billions of non-English speaking users rely on search engines every day, the problem of ad-hoc information retrieval is rarely studied for non-English languages. This is prim…
Efficient Convolutional Neural Networks for Diacritic Restoration
Sawsan Alqahtani, Ajay Mishra, Mona Diab
Diacritic restoration has gained importance with the growing need for machines to understand written texts. The task is typically modeled as a sequence labeling problem and current…
Homograph Disambiguation Through Selective Diacritic Restoration
Sawsan Alqahtani, Hanan Aldarmaki, Mona Diab
Lexical ambiguity, a challenging phenomenon in all natural languages, is particularly prevalent for languages with diacritics that tend to be omitted in writing, such as Arabic. Om…
Models of quantum complexity growth
Fernando G. S. L. Brandão, Wissam Chemissany, Nicholas Hunter-Jones +2
The concept of quantum complexity has far-reaching implications spanning theoretical computer science, quantum many-body physics, and high energy physics. The quantum complexity of…
AutoBlock: A Hands-off Blocking Framework for Entity Matching
Wei Zhang, Hao Wei, Bunyamin Sisman +3
Entity matching seeks to identify data records over one or multiple data sources that refer to the same real-world entity. Virtually every entity matching task on large datasets re…
Language Model Bootstrapping Using Neural Machine Translation For Conversational Speech Recognition
Surabhi Punjabi, Harish Arsikere, Sri Garimella
Building conversational speech recognition systems for new languages is constrained by the availability of utterances that capture user-device interactions. Data collection is both…