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ACL
2015
4 years 2 months ago
A Neural Probabilistic Structured-Prediction Model for Transition-Based Dependency Parsing
Neural probabilistic parsers are attractive for their capability of automatic feature combination and small data sizes. A transition-based greedy neural parser has given better ac...
Hao Zhou, Yue Zhang, Shujian Huang, Jiajun Chen
ACL
2015
4 years 2 months ago
A Simultaneous Recognition Framework for the Spoken Language Understanding Module of Intelligent Personal Assistant Software on
The intelligent personal assistant software such as the Apple’s Siri and Samsung’s S-Voice has been issued these days. This paper introduces a novel Spoken Language Understand...
Changsu Lee, Youngjoong Ko, Jungyun Seo
ACL
2015
4 years 2 months ago
Unifying Bayesian Inference and Vector Space Models for Improved Decipherment
We introduce into Bayesian decipherment a base distribution derived from similarities of word embeddings. We use Dirichlet multinomial regression (Mimno and McCallum, 2012) to lea...
Qing Dou, Ashish Vaswani, Kevin Knight, Chris Dyer
ACL
2015
4 years 2 months ago
The Media Frames Corpus: Annotations of Frames Across Issues
We describe the first version of the Media Frames Corpus: several thousand news articles on three policy issues, annotated in terms of media framing. We motivate framing as a phe...
Dallas Card, Amber E. Boydstun, Justin H. Gross, P...
ACL
2015
4 years 2 months ago
Gaussian LDA for Topic Models with Word Embeddings
Continuous space word embeddings learned from large, unstructured corpora have been shown to be effective at capturing semantic regularities in language. In this paper we replace ...
Rajarshi Das, Manzil Zaheer, Chris Dyer
ACL
2015
4 years 2 months ago
Learning Summary Prior Representation for Extractive Summarization
In this paper, we propose the concept of summary prior to define how much a sentence is appropriate to be selected into summary without consideration of its context. Different fr...
Ziqiang Cao, Furu Wei, Sujian Li, Wenjie Li, Ming ...
ACL
2015
4 years 2 months ago
A Knowledge-Intensive Model for Prepositional Phrase Attachment
Prepositional phrases (PPs) express crucial information that knowledge base construction methods need to extract. However, PPs are a major source of syntactic ambiguity and still ...
Ndapandula Nakashole, Tom M. Mitchell
ACL
2015
4 years 2 months ago
Retrieval of Research-level Mathematical Information Needs: A Test Collection and Technical Terminology Experiment
In this paper, we present a test collection for mathematical information retrieval composed of real-life, researchlevel mathematical information needs. Topics and relevance judgem...
Yiannos Stathopoulos, Simone Teufel
ACL
2015
4 years 2 months ago
A Multitask Objective to Inject Lexical Contrast into Distributional Semantics
Distributional semantic models have trouble distinguishing strongly contrasting words (such as antonyms) from highly compatible ones (such as synonyms), because both kinds tend to...
Nghia The Pham, Angeliki Lazaridou, Marco Baroni
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