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ACL
2015
9 years 11 months ago
Discontinuous Incremental Shift-reduce Parsing
We present an extension to incremental shift-reduce parsing that handles discontinuous constituents, using a linear classifier and beam search. We achieve very high parsing speed...
Wolfgang Maier
ACL
2015
9 years 11 months ago
Joint Graphical Models for Date Selection in Timeline Summarization
Automatic timeline summarization (TLS) generates precise, dated overviews over (often prolonged) events, such as wars or economic crises. One subtask of TLS selects the most impor...
Giang Binh Tran, Eelco Herder, Katja Markert
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ACL
2015
9 years 11 months ago
On metric embedding for boosting semantic similarity computations
Computing pairwise word semantic similarity is widely used and serves as a building block in many tasks in NLP. In this paper, we explore the embedding of the shortest-path metric...
Julien Subercaze, Christophe Gravier, Fréd&...
ACL
2015
9 years 11 months ago
Painless Labeling with Application to Text Mining
Labeled data is not readily available for many natural language domains, and it typically requires expensive human effort with considerable domain knowledge to produce a set of la...
Sajib Dasgupta
ACL
2015
9 years 11 months ago
Simple Learning and Compositional Application of Perceptually Grounded Word Meanings for Incremental Reference Resolution
An elementary way of using language is to refer to objects. Often, these objects are physically present in the shared environment and reference is done via mention of perceivable ...
Casey Kennington, David Schlangen
ACL
2015
9 years 11 months ago
Why discourse affects speakers' choice of referring expressions
We propose a language production model that uses dynamic discourse information to account for speakers’ choices of referring expressions. Our model extends previous rational spe...
Naho Orita, Eliana Vornov, Naomi Feldman, Hal Daum...
ACL
2015
9 years 11 months ago
On Using Very Large Target Vocabulary for Neural Machine Translation
Neural machine translation, a recently proposed approach to machine translation based purely on neural networks, has shown promising results compared to the existing approaches su...
Sébastien Jean, KyungHyun Cho, Roland Memis...
ACL
2015
9 years 11 months ago
Neural CRF Parsing
This paper describes a parsing model that combines the exact dynamic programming of CRF parsing with the rich nonlinear featurization of neural net approaches. Our model is struct...
Greg Durrett, Dan Klein