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A number of researchers have recently conducted experiments comparing “deep” hand-crafted wide-coverage with “shallow” treebank- and machine-learning-based parsers at the level of dependencies, using ...
Document Structure     Document Structure       2015/8/28
We argue the case for abstract document structure as a separate descriptive level in the analysis and generation of written texts. The purpose of this representation is to mediate between the message ...
We argue in this article that many common adverbial phrases generally taken to signal a discourse relation between syntactically connected units within discourse structure instead work anaphorically ...
Automatic acquisition of lexical knowledge is critical to a wide range of natural language processing tasks. Especially important is knowledge about verbs, which are the primary source of relational ...
pear to be a sufficient choice. While no clear answer to this dilemma presents itself here, several of the chapters in this volume do address this issue directly. Rogers shows that dropping th...
Can connectionist models discover the structure of natural language?
Encoding sequential structure in simple recurrent networks.
Structure Sharing with Binary Trees.
This paper separates conditional parameter estimation, which consistently raises test set accuracy on statistical NLP tasks, from conditional model structures, such as the conditional Markov model use...
The web link graph has a nested block structure: the vast majority of hyperlinks link pages on a host to other pages on the same host, and many of those that do not link pages within the same domain. ...
Heterozygous mutations of the human FOXP2 gene are implicated in a severe speech and language disorder. Aetiological mutations of murine Foxp2 yield abnormal synaptic plasticity and impaired motorskil...
Information structure has become a central topic in linguistic theory and description over the past two decades, with much of the initial work focused on familiar Indo-European languages and much stud...
Despite the availability of better performing techniques, most language models are trained using popular toolkits that do not support perplexity optimization. In this work, we present an efficient dat...
Parsing the Internal Structure of Words: A New Paradigm for Chinese Word Segmentation.

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