b'Jo\xc3\xa3o Sedoc'

research

∙ 06/22/2023

Overview of Robust and Multilingual Automatic Evaluation Metrics for Open-Domain Dialogue Systems at DSTC 11 Track 4

The advent and fast development of neural networks have revolutionized t...

0 Mario Rodríguez-Cantelar, et al. ∙

research

∙ 05/24/2023

Human-Centered Metrics for Dialog System Evaluation

We present metrics for evaluating dialog systems through a psychological...

0 Salvatore Giorgi, et al. ∙

research

∙ 05/23/2023

How to Choose How to Choose Your Chatbot: A Massively Multi-System MultiReference Data Set for Dialog Metric Evaluation

We release MMSMR, a Massively Multi-System MultiReference dataset to ena...

0 Huda Khayrallah, et al. ∙

research

∙ 02/04/2023

Lived Experience Matters: Automatic Detection of Stigma toward People Who Use Substances on Social Media

Stigma toward people who use substances (PWUS) is a leading barrier to s...

0 Salvatore Giorgi, et al. ∙

research

∙ 12/20/2022

Needle in a Haystack: An Analysis of Finding Qualified Workers on MTurk for Summarization

The acquisition of high-quality human annotations through crowdsourcing ...

10 Lining Zhang, et al. ∙

research

∙ 11/20/2022

Conceptor-Aided Debiasing of Contextualized Embeddings

Pre-trained language models reflect the inherent social biases of their ...

0 Yifei Li, et al. ∙

research

∙ 10/20/2022

Automatic Document Selection for Efficient Encoder Pretraining

Building pretrained language models is considered expensive and data-int...

0 Yukun Feng, et al. ∙

research

∙ 05/25/2022

Empathic Conversations: A Multi-level Dataset of Contextualized Conversations

Empathy is a cognitive and emotional reaction to an observed situation o...

0 Damilola Omitaomu, et al. ∙

research

∙ 05/24/2022

Linear Connectivity Reveals Generalization Strategies

It is widely accepted in the mode connectivity literature that when two ...

3 Jeevesh Juneja, et al. ∙

research

∙ 05/24/2022

VIRATrustData: A Trust-Annotated Corpus of Human-Chatbot Conversations About COVID-19 Vaccines

Public trust in medical information is crucial for successful applicatio...

0 Roni Friedman, et al. ∙

research

∙ 05/24/2022

Benchmark Data and Evaluation Framework for Intent Discovery Around COVID-19 Vaccine Hesitancy

The COVID-19 pandemic has made a huge global impact and cost millions of...

0 Shai Gretz, et al. ∙

research

∙ 12/16/2021

Gendered Language in Resumes and its Implications for Algorithmic Bias in Hiring

Despite growing concerns around gender bias in NLP models used in algori...

6 Prasanna Parasurama, et al. ∙

research

∙ 12/16/2021

Trees in transformers: a theoretical analysis of the Transformer's ability to represent trees

Transformer networks are the de facto standard architecture in natural l...

0 Qi He, et al. ∙

research

∙ 11/03/2021

Automatic Evaluation and Moderation of Open-domain Dialogue Systems

The development of Open-Domain Dialogue Systems (ODS)is a trending topic...

1 Chen Zhang, et al. ∙

research

∙ 09/29/2021

Who says like a style of Vitamin: Towards Syntax-Aware DialogueSummarization using Multi-task Learning

Abstractive dialogue summarization is a challenging task for several rea...

0 Seolhwa Lee, et al. ∙

research

∙ 02/02/2021

The GEM Benchmark: Natural Language Generation, its Evaluation and Metrics

We introduce GEM, a living benchmark for natural language Generation (NL...

5 Sebastian Gehrmann, et al. ∙

research

∙ 11/01/2020

SMRT Chatbots: Improving Non-Task-Oriented Dialog with Simulated Multiple Reference Training

Non-task-oriented dialog models suffer from poor quality and non-diverse...

0 Huda Khayrallah, et al. ∙

research

∙ 10/24/2020

Measuring the `I don't know' Problem through the Lens of Gricean Quantity

We consider the intrinsic evaluation of neural generative dialog models ...

0 Huda Khayrallah, et al. ∙

research

∙ 10/24/2020

An Evaluation Protocol for Generative Conversational Systems

There is a multitude of novel generative models for open-domain conversa...

0 Seolhwa Lee, et al. ∙

research

∙ 10/14/2020

Decoding Methods for Neural Narrative Generation

Narrative generation is an open-ended NLP task in which a model generate...

0 Alexandra DeLucia, et al. ∙

research

∙ 10/06/2020

COD3S: Diverse Generation with Discrete Semantic Signatures

We present COD3S, a novel method for generating semantically diverse sen...

0 Nathaniel Weir, et al. ∙

research

∙ 04/30/2020

Revisiting Memory-Efficient Incremental Coreference Resolution

We explore the task of coreference resolution under fixed memory by exte...

0 Patrick Xia, et al. ∙

research

∙ 12/02/2019

Learning Word Ratings for Empathy and Distress from Document-Level User Responses

Despite the excellent performance of black box approaches to modeling se...

0 João Sedoc, et al. ∙

research

∙ 06/14/2019

Comparison of Diverse Decoding Methods from Conditional Language Models

While conditional language models have greatly improved in their ability...

0 Daphne Ippolito, et al. ∙

research

∙ 06/14/2019

Conceptor Debiasing of Word Representations Evaluated on WEAT

Bias in word embeddings such as Word2Vec has been widely investigated, a...

0 Saket Karve, et al. ∙

research

∙ 04/18/2019

Continual Learning for Sentence Representations Using Conceptors

Distributed representations of sentences have become ubiquitous in natur...

20 Tianlin Liu, et al. ∙

research

∙ 04/04/2019

Complexity-Weighted Loss and Diverse Reranking for Sentence Simplification

Sentence simplification is the task of rewriting texts so they are easie...

0 Reno Kriz, et al. ∙

research

∙ 11/17/2018

Correcting the Common Discourse Bias in Linear Representation of Sentences using Conceptors

Distributed representations of words, better known as word embeddings, h...

0 Tianlin Liu, et al. ∙

research

∙ 11/17/2018

Unsupervised Post-processing of Word Vectors via Conceptor Negation

Word vectors are at the core of many natural language processing tasks. ...

0 Tianlin Liu, et al. ∙

research

∙ 10/25/2018

Learning Neural Emotion Analysis from 100 Observations: The Surprising Effectiveness of Pre-Trained Word Representations

Deep Learning has drastically reshaped virtually all areas of NLP. Yet o...

0 Sven Buechel, et al. ∙

research

∙ 08/30/2018

Modeling Empathy and Distress in Reaction to News Stories

Computational detection and understanding of empathy is an important fac...

0 Sven Buechel, et al. ∙

research

∙ 08/02/2017

Domain Aware Neural Dialog System

We investigate the task of building a domain aware chat system which gen...

0 Sajal Choudhary, et al. ∙

research

∙ 08/02/2017

Enterprise to Computer: Star Trek chatbot

Human interactions and human-computer interactions are strongly influenc...

0 Grishma Jena, et al. ∙

research

∙ 08/01/2017

Deriving Verb Predicates By Clustering Verbs with Arguments

Hand-built verb clusters such as the widely used Levin classes (Levin, 1...

0 João Sedoc, et al. ∙

research

∙ 01/20/2016

Semantic Word Clusters Using Signed Normalized Graph Cuts

Vector space representations of words capture many aspects of word simil...

0 João Sedoc, et al. ∙

João Sedoc

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