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Browsing MIT Open Access Articles by Author "Barzilay, Regina"

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Browsing MIT Open Access Articles by Author "Barzilay, Regina"

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  • Snyder, Benjamin; Naseem, Tahira; Eisenstein, Jacob; Barzilay, Regina (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 ...
  • Sauper, Christina; Barzilay, Regina (Association for the Advancement of Artificial Intelligence, 2013-01)
    We present a model for aggregation of product review snippets by joint aspect identification and sentiment analysis. Our model simultaneously identifies an underlying set of ratable aspects presented in the reviews of a ...
  • Sauper, Christina Joan; Barzilay, Regina (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 ...
  • Snyder, Benjamin; Barzilay, Regina (Omnipress, 2010-06)
    For centuries, scholars have explored the deep links among human languages. In this paper, we present a class of probabilistic models that use these links as a form of naturally occurring supervision. These models ...
  • Chen, Harr; Branavan, Satchuthanan R.; Barzilay, Regina; Karger, David R. (AI Access Foundation, 2009-10)
    We present a novel Bayesian topic model for learning discourse-level document structure. Our model leverages insights from discourse theory to constrain latent topic assignments in a way that reflects the underlying ...
  • Sauper, Christina Joan; Haghighi, Aria; Barzilay, Regina (Association for Computational Linguistics, 2011-06)
    We present a probabilistic topic model for jointly identifying properties and attributes of social media review snippets. Our model simultaneously learns a set of properties of a product and captures aggregate user sentiments ...
  • Eisenstein, Jacob; Barzilay, Regina; Davis, Randall (Association for Computing Machinery (ACM), 2008)
    Coverbal gesture provides a channel for the visual expression of ideas. While some gestural emblems have culturally predefined forms (e.g., "thumbs up"), the relationship between gesture and meaning is, in general, not ...
  • Benson, Edward Oscar; Haghighi, Aria; Barzilay, Regina (Association for Computational Linguistics, 2011-06)
    We present a novel method for record extraction from social streams such as Twitter. Unlike typical extraction setups, these environments are characterized by short, one sentence messages with heavily colloquial speech. ...
  • Lei, Tao; Long, Fan; Barzilay, Regina; Rinard, Martin C. (Association for Computational Linguistics (ACL), 2013-08)
    We present a method for automatically generating input parsers from English specifications of input file formats. We use a Bayesian generative model to capture relevant natural language phenomena and translate the English ...
  • Chen, Harr; Branavan, Satchuthanan R.; Barzilay, Regina; Karger, David R. (Association for Computational Linguistics, 2009-06)
    We present a novel Bayesian topic model for learning discourse-level document structure. Our model leverages insights from discourse theory to constrain latent topic assignments in a way that reflects the underlying ...
  • Polifroni, Joseph; Seneff, Stephanie; Branavan, Satchuthanan R.; Wang, Chao; Barzilay, Regina (Institute of Electrical and Electronics Engineers (IEEE), 2010-12)
    In this paper, we introduce a new envisioned application for speech which allows users to enter restaurant reviews orally via their mobile device, and, at a later time, update a shared and growing database of consumer-provided ...
  • Zhang, Yuan; Lei, Tao; Barzilay, Regina; Jaakkola, Tommi S. (2014-10)
    Dependency parsing with high-order features results in a provably hard decoding problem. A lot of work has gone into developing powerful optimization methods for solving these combinatorial problems. In contrast, we explore, ...
  • Sauper, Christina Joan; Haghighi, Aria; Barzilay, Regina (Association for Computational Linguistics, 2010-10)
    Information about the content structure of a document is largely ignored by current text analysis applications such as information extraction and sentiment analysis. This stands in contrast to the linguistic intuition ...
  • Chen, Harr; Benson, Edward Oscar; Naseem, Tahira; Barzilay, Regina (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 ...
  • Narasimhan, Karthik Rajagopal; Kulkarni, Tejas Dattatraya; Barzilay, Regina (Association for Computational Linguistics, 2015-09)
    In this paper, we consider the task of learning control policies for text-based games. In these games, all interactions in the virtual world are through text and the underlying state is not observed. The resulting ...
  • Branavan, Satchuthanan R.; Chen, Harr; Eisenstein, Jacob; Barzilay, Regina (AI Access Foundation, 2009-04)
    This paper presents a new method for inferring the semantic properties of documents by leveraging free-text keyphrase annotations. Such annotations are becoming increasingly abundant due to the recent dramatic growth in ...
  • Branavan, Satchuthanan R.; Kushman, Nate; Lei, Tao; Barzilay, Regina (The Association for Computational Linguistics, 2012-07)
    Comprehending action preconditions and effects is an essential step in modeling the dynamics of the world. In this paper, we express the semantics of precondition relations extracted from text in terms of planning operations. ...
  • Kushman, Nate; Artzi, Yoav; Zettlemoyer, Luke; Barzilay, Regina (Association for Computational Linguistics, 2014-06)
    We present an approach for automatically learning to solve algebra word problems. Our algorithm reasons across sentence boundaries to construct and solve a system of linear equations, while simultaneously recovering ...
  • Branavan, Satchuthanan R.; Silver, David; Barzilay, Regina (Association for Computing Machinery, 2011-06)
    This paper presents a novel approach for leveraging automatically extracted textual knowledge to improve the performance of control applications such as games. Our ultimate goal is to enrich a stochastic player with ...
  • Lei, Tao; Zhang, Yuan; Barzilay, Regina; Jaakkola, Tommi S. (Association for Computational Linguistics, 2014-06)
    Accurate scoring of syntactic structures such as head-modifier arcs in dependency parsing typically requires rich, high-dimensional feature representations. A small subset of such features is often selected manually. This ...
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