• Publications
  • Influence
Stan: A Probabilistic Programming Language
TLDR
Stan is a probabilistic programming language for specifying statistical models. Expand
  • 3,054
  • 464
  • PDF
The logic of typed feature structures
TLDR
For those of us who belonged to the "Bay Area (Computational) Linguistics Community," the early eighties were a heady time. Expand
  • 993
  • 125
Overview of BioCreative II gene mention recognition
Nineteen teams presented results for the Gene Mention Task at the BioCreative II Workshop. In this task participants designed systems to identify substrings in sentences corresponding to gene nameExpand
  • 243
  • 25
  • PDF
ALE : the attribute logic engine user's guide, version 2.0.1
ale 3.0 is completely compatible with ale 2.0 grammars, and adds the following new features: • A semantic-head-driven generator, based on the algorithm presented in Shieber et al. (1990). TheExpand
  • 111
  • 22
  • PDF
Think Generic!: The Meaning and Use of Generic Sentences
Generic sentences constitute a prevalent linguistic phenomenon, and much of our knowledge about the world is expressed using these constructions. In this dissertation we provide a theory of meaningExpand
  • 108
  • 15
Vector-based Natural Language Call Routing
TLDR
This paper describes a domain-independent, automatically trained natural language call router for directing incoming calls in a call center. Expand
  • 203
  • 12
  • PDF
Rank-normalization, folding, and localization: An improved R-hat for assessing convergence of MCMC
Markov chain Monte Carlo is a key computational tool in Bayesian statistics, but it can be challenging to monitor the convergence of an iterative stochastic algorithm. In this paper we show that theExpand
  • 75
  • 11
  • PDF
UvA-DARE ( Digital Academic Repository ) Overview of BioCreative II gene mention recognition
Nineteen teams presented results for the Gene Mention Task at the BioCreative II Workshop. In this task participants designed systems to identify substrings in sentences corresponding to gene nameExpand
  • 89
  • 10
  • PDF
LingPipe for 99 . 99 % Recall of Gene Mentions
Text data mining over biomedical research literature is a needle-in-a-haystack problem. We contend that first-best methods performing at 90% F-measure are insufficient, especially given thatExpand
  • 51
  • 10
  • PDF
The Benefits of a Model of Annotation
TLDR
We argue that high chance-adjusted inter-annotator agreement is neither necessary nor sufficient to ensure a high quality corpus. Expand
  • 126
  • 9
  • PDF
...
1
2
3
4
5
...