Search
Now showing items 1-10 of 62
Adding More Languages Improves Unsupervised Multilingual Part-of-Speech Tagging: A Bayesian Non-Parametric Approach
(Association for Computational Linguistics, 2009-06)
We investigate the problem of unsupervised part-of-speech tagging when raw parallel data is available in a large number of languages. Patterns of ambiguity vary greatly across languages and therefore even unannotated ...
Current and Future Roles of Artificial Intelligence in Medicinal Chemistry Synthesis
(American Chemical Society (ACS), 2020-04)
Artificial intelligence and machine learning have demonstrated their potential role in predictive chemistry and synthetic planning of small molecules; there are at least a few reports of companies employing in silico ...
Improving Information Extraction by Acquiring External Evidence with Reinforcement Learning
(Association for Computational Linguistics (ACL), 2016-11)
Most successful information extraction systems operate with access to a large collection of documents. In this work, we explore the task of acquiring and incorporating external evidence to improve extraction accuracy in ...
In-domain relation discovery with meta-constraints via posterior regularization
(Association for Computing Machinery, 2011-06)
We present a novel approach to discovering relations and their instantiations from a collection of documents in a single domain. Our approach learns relation types by exploiting meta-constraints that characterize the general ...
Unsupervised multilingual grammar induction
(Association for Computational Linguistics, 2009-08)
We investigate the task of unsupervised constituency parsing from bilingual parallel corpora. Our goal is to use bilingual cues to learn improved parsing models for each language and to evaluate these models on held-out ...
An unsupervised method for uncovering morphological chains
(Association for Computational Linguistics, 2015-03)
Most state-of-the-art systems today produce morphological analysis based only on orthographic patterns. In contrast, we propose a model for unsupervised morphological analysis that integrates orthographic and semantic views ...
Automatically Generating Wikipedia Articles: A Structure-Aware Approach
(Association for Computational Linguistics, 2009-08)
In this paper, we investigate an approach for creating a comprehensive textual overview of a subject composed of information drawn from the Internet. We use the high-level structure of human-authored texts to automatically ...
Deciphering Undersegmented Ancient Scripts Using Phonetic Prior
(MIT Press - Journals, 2021)
<jats:p> Most undeciphered lost languages exhibit two characteristics that pose significant decipherment challenges: (1) the scripts are not fully segmented into words; (2) the closest known language is not determined. We ...
Nutri-bullets Hybrid: Consensual Multi-document Summarization
(Association for Computational Linguistics (ACL), 2021)
Neural Generation of Regular Expressions from Natural Language with Minimal Domain Knowledge
(Association for Computational Linguistics (ACL), 2016-11)
This paper explores the task of translating natural language queries into regular expressions which embody their meaning. In contrast to prior work, the proposed neural model does not utilize domain-specific crafting, ...