Voice dictation is an increasingly important text input modality. Existi...
This paper provides a reference description, in the form of a deduction
...
We describe a class of tasks called decision-oriented dialogues, in whic...
To predict the next token, autoregressive models ordinarily examine the ...
Weighted finite-state automata (WSFAs) are commonly used in NLP. Failure...
Task-oriented dialogue systems often assist users with personal or
confi...
Language modeling, a central task in natural language processing, involv...
Likelihood, although useful as a training loss, is a poor search objecti...
In a real-world dialogue system, generated responses must satisfy severa...
The Bar-Hillel construction is a classic result in formal language theor...
We introduce BenchCLAMP, a Benchmark to evaluate Constrained LAnguage Mo...
We introduce APEL, a new framework that enables non-programmers to indir...
In natural language understanding (NLU) production systems, users' evolv...
The neural Hawkes process (Mei Eisner, 2017) is a generative model o...
Computational models of human language often involve combinatorial probl...
We explore the use of large pretrained language models as few-shot seman...
Natural-language prompts have recently been used to coax pretrained lang...
The log-likelihood of a generative model often involves both positive an...
Should sequences be modeled autoregressively—one symbol at a time? How m...
We present a scheme for translating logic programs, which may use aggreg...
We describe an approach to task-oriented dialogue in which dialogue stat...
Learning how to predict future events from patterns of past events is
di...
A major hurdle in data-driven research on typology is having sufficient ...
Pre-trained word embeddings like ELMo and BERT contain rich syntactic an...
Treebanks traditionally treat punctuation marks as ordinary words, but
l...
How language-agnostic are current state-of-the-art NLP tools? Are there ...
Events in the world may be caused by other, unobserved events. We consid...
Critical to natural language generation is the production of correctly
i...
The Universal Morphology UniMorph project is a collaborative effort to
i...
The CoNLL--SIGMORPHON 2018 shared task on supervised learning of
morphol...
We quantify the linguistic complexity of different languages' morphologi...
What makes some types of languages more probable than others? For instan...
For general modeling methods applied to diverse languages, a natural que...
Lexical ambiguity makes it difficult to compute various useful statistic...
We introduce neural particle smoothing, a sequential Monte Carlo method ...
Many languages' inflectional morphological systems are replete with
irre...
We show how to deploy recurrent neural networks within a hierarchical
Ba...
We show how to predict the basic word-order facts of a novel language gi...
We release Galactic Dependencies 1.0---a large set of synthetic language...
The CoNLL-SIGMORPHON 2017 shared task on supervised morphological genera...
Linguistic typology studies the range of structures present in human
lan...
Many events occur in the world. Some event types are stochastically exci...
We show how to train the fast dependency parser of Smith and Eisner (200...