The advent and fast development of neural networks have revolutionized t...
We present metrics for evaluating dialog systems through a
psychological...
We release MMSMR, a Massively Multi-System MultiReference dataset to ena...
Stigma toward people who use substances (PWUS) is a leading barrier to
s...
The acquisition of high-quality human annotations through crowdsourcing
...
Pre-trained language models reflect the inherent social biases of their
...
Building pretrained language models is considered expensive and
data-int...
Empathy is a cognitive and emotional reaction to an observed situation o...
It is widely accepted in the mode connectivity literature that when two
...
Public trust in medical information is crucial for successful applicatio...
The COVID-19 pandemic has made a huge global impact and cost millions of...
Despite growing concerns around gender bias in NLP models used in algori...
Transformer networks are the de facto standard architecture in natural
l...
The development of Open-Domain Dialogue Systems (ODS)is a trending topic...
Abstractive dialogue summarization is a challenging task for several rea...
We introduce GEM, a living benchmark for natural language Generation (NL...
Non-task-oriented dialog models suffer from poor quality and non-diverse...
We consider the intrinsic evaluation of neural generative dialog models
...
There is a multitude of novel generative models for open-domain
conversa...
Narrative generation is an open-ended NLP task in which a model generate...
We present COD3S, a novel method for generating semantically diverse
sen...
We explore the task of coreference resolution under fixed memory by exte...
Despite the excellent performance of black box approaches to modeling
se...
While conditional language models have greatly improved in their ability...
Bias in word embeddings such as Word2Vec has been widely investigated, a...
Distributed representations of sentences have become ubiquitous in natur...
Sentence simplification is the task of rewriting texts so they are easie...
Distributed representations of words, better known as word embeddings, h...
Word vectors are at the core of many natural language processing tasks.
...
Deep Learning has drastically reshaped virtually all areas of NLP. Yet o...
Computational detection and understanding of empathy is an important fac...
We investigate the task of building a domain aware chat system which
gen...
Human interactions and human-computer interactions are strongly influenc...
Hand-built verb clusters such as the widely used Levin classes (Levin, 1...
Vector space representations of words capture many aspects of word
simil...