ResearchTrend.AI
Putting the Con in Context: Identifying Deceptive Actors in the Game of Mafia

Putting the Con in Context: Identifying Deceptive Actors in the Game of Mafia

Samee Ibraheem
G. Zhou
John DeNero
ArXivPDFHTML

Papers citing "Putting the Con in Context: Identifying Deceptive Actors in the Game of Mafia"

7 / 7 papers shown
Title
Evaluating Gender Bias in Machine Translation
Evaluating Gender Bias in Machine Translation
Gabriel Stanovsky
Noah A. Smith
Luke Zettlemoyer
89
405
0
03 Jun 2019
The Mafiascum Dataset: A Large Text Corpus for Deception Detection
The Mafiascum Dataset: A Large Text Corpus for Deception Detection
Bob de Ruiter
George Kachergis
42
16
0
19 Nov 2018
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Jacob Devlin
Ming-Wei Chang
Kenton Lee
Kristina Toutanova
VLM
SSL
SSeg
1.8K
94,891
0
11 Oct 2018
Racial Disparity in Natural Language Processing: A Case Study of Social Media African-American English
Racial Disparity in Natural Language Processing: A Case Study of Social Media African-American English
Su Lin Blodgett
Brendan O'Connor
63
148
0
30 Jun 2017
Deal or No Deal? End-to-End Learning for Negotiation Dialogues
Deal or No Deal? End-to-End Learning for Negotiation Dialogues
M. Lewis
Denis Yarats
Yann N. Dauphin
Devi Parikh
Dhruv Batra
LLMAG
89
414
0
16 Jun 2017
Attention Is All You Need
Attention Is All You Need
Ashish Vaswani
Noam M. Shazeer
Niki Parmar
Jakob Uszkoreit
Llion Jones
Aidan Gomez
Lukasz Kaiser
Illia Polosukhin
3DV
701
131,652
0
12 Jun 2017
Linguistic Harbingers of Betrayal: A Case Study on an Online Strategy Game
Linguistic Harbingers of Betrayal: A Case Study on an Online Strategy Game
Vlad Niculae
Srijan Kumar
Jordan L. Boyd-Graber
Cristian Danescu-Niculescu-Mizil
72
56
0
15 Jun 2015