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The 2015 ACL Workshop on Computational Linguistics and Clinical Psychology included a shared task focusing on classification of a sample of Twitter users according to three mental health categories:us...
CorMet is a corpus-based system for discovering metaphorical mappings between concepts. It does this by finding systematic variations in domain-specific selectional preferences, which are...
We have developed an example-based machine translation (EBMT) system that uses the World Wide Web for two different purposes: First, we populate the system’s memory with translations gathered from r...
As evaluations of computational linguistics technology progress toward higher-level interpretation tasks, the problem of determining alignments between system responses and answer key entries may beco...
We present an implemented system for processing definite descriptions in arbitrary domains.The design of the system is based on the results of a corpus analysis previously reported, which highlighted ...
In this article, we present a perspective on the role of the hippocampal system in generalization, instantiated in a computational model called REMERGE (recurrency and episodic memory results in gener...
The extended treatment of the ‘past-tense debate’ in TICS [1,2] is a useful reminder that this debate consists of two kinds of issue – a broad, almost philosophical dispute about the role of symbolic ...
We present a maximum-entropy based system for identifying Named Entities (NEs) in biomedical abstracts and present its performance in the only two biomedical Named Entity Recognition (NER) comparative...
This document describes Stanford University’s first entry into a NIST MT evaluation. Our entry to the 2008 evaluation mainly focused on establishing a competent baseline with a phrase-based system sim...
This document describes Stanford University’s first entry into a NIST Arabic-English MT evaluation. We describe two main improvements over a previous Chinese-English submission (Galley et al., 2008): ...
This paper details the coreference resolution system submitted by Stanford at the CoNLL- 2011 shared task. Our system is a collection of deterministic coreference resolution models that incorporate le...
We present Positive Diversity Tuning, a new method for tuning machine translation models specifically for improved performance during system combination. System combination gains are often limited by ...
This paper introduces a News-oriented Chinese-English Machine Translation system. Firstly, general information of the system is given.Secondly, the architecture of the system –– the micro-engine pipel...
This paper describes a detailed comparison of several state-ofthe-art speech recognition techniques applied to a limited Arabic broadcast news dataset. The different approaches were all trained on 50 ...
In this paper, we present preliminary results on applying a comparison-based framework to the task of pronunciation scoring. The comparison-based system works by aligning a student’s utterance with a ...

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