Search Results for author:
Found 10 papers, 4 papers with code
Benchmark Data and Evaluation Framework for Intent Discovery Around COVID-19 Vaccine Hesitancy
We use this framework to report baseline intent discovery results over VIRADialogs, that highlight the difficulty of this task.
VIRATrustData: A Trust-Annotated Corpus of Human-Chatbot Conversations About COVID-19 Vaccines
Public trust in medical information is crucial for successful application of public health policies such as vaccine uptake.
Out of the Echo Chamber: Detecting Countering Debate Speeches
An educated and informed consumption of media content has become a challenge in modern times.
A Large-scale Dataset for Argument Quality Ranking: Construction and Analysis
To this end, we created a corpus of 30, 497 arguments carefully annotated for point-wise quality, released as part of this work.
Automatic Argument Quality Assessment - New Datasets and Methods
In spite of the inherent subjective nature of the task, both annotation schemes led to surprisingly consistent results.
Automatic Argument Quality Assessment -- New Datasets and Methods
In spite of the inherent subjective nature of the task, both annotation schemes led to surprisingly consistent results.
Learning to combine Grammatical Error Corrections
We also present a spellchecker created for this task which outperforms standard spellcheckers tested on the task of spellchecking.
Ranked #2 on
Grammatical Error Correction
on BEA-2019 (test)
Syntactic Interchangeability in Word Embedding Models
Nearest neighbors in word embedding models are commonly observed to be semantically similar, but the relations between them can vary greatly.
