Julien Kloetzer

发表

Semi-Distantly Supervised Neural Model for Generating Compact Answers to Open-Domain Why Questions

Jong-Hoon Oh, Kentaro Torisawa, Canasai Kruengkrai, 2018, AAAI.

Understanding User Utterances in a Dialog System for Caregiving

Junta Mizuno, Kentaro Torisawa, Julien Kloetzer, 2020, LREC.

Intra-Sentential Subject Zero Anaphora Resolution using Multi-Column Convolutional Neural Network

Jong-Hoon Oh, Kentaro Torisawa, Canasai Kruengkrai, 2016, EMNLP.

Large-Scale Acquisition of Entailment Pattern Pairs by Exploiting Transitivity

Jong-Hoon Oh, Kentaro Torisawa, Julien Kloetzer, 2015, EMNLP.

Toward Future Scenario Generation: Extracting Event Causality Exploiting Semantic Relation, Context, and Association Features

Yutaka Kidawara, Jong-Hoon Oh, Kentaro Torisawa, 2014, ACL.

Monte-Carlo techniques : applications to the game of the Amazons

Julien Kloetzer, Julien Kloetzer, 2010 .

A Semi-Supervised Learning Approach to Why-Question Answering

Jong-Hoon Oh, Kentaro Torisawa, Ryu Iida, 2016, AAAI.

Improving Event Causality Recognition with Multiple Background Knowledge Sources Using Multi-Column Convolutional Neural Networks

Jong-Hoon Oh, Kentaro Torisawa, Canasai Kruengkrai, 2017, AAAI.

Exploiting Background Knowledge in Compact Answer Generation for Why-Questions

Jong-Hoon Oh, Kentaro Torisawa, Canasai Kruengkrai, 2019, AAAI.

Playing Amazons Endgames

Hiroyuki Iida, Bruno Bouzy, Julien Kloetzer, 2009, J. Int. Comput. Games Assoc..

Intra-sentential Zero Anaphora Resolution using Subject Sharing Recognition

Jong-Hoon Oh, Kentaro Torisawa, Ryu Iida, 2015, EMNLP.

Million-scale Derivation of Semantic Relations from a Manually Constructed Predicate Taxonomy

Jong-Hoon Oh, Kentaro Torisawa, István Varga, 2014, COLING.

Open-Domain Why-Question Answering with Adversarial Learning to Encode Answer Texts

Jong-Hoon Oh, Kentaro Torisawa, Ryu Iida, 2019, ACL.

ACMチューリング賞50周年記念大会：Computer Science as a Major Body of Accumulated Knowledge 知識の集積としての計算機科学

Julien Kloetzer, Knuth Donald Ervin, 翻訳：鳥澤健太郎, 2017 .

Monte-Carlo Opening Books for Amazons

Julien Kloetzer, 2010, Computers and Games.

Generating Event Causality Hypotheses through Semantic Relations

Jong-Hoon Oh, Kentaro Torisawa, Julien Kloetzer, 2015, AAAI.

Two-Stage Method for Large-Scale Acquisition of Contradiction Pattern Pairs using Entailment

Jong-Hoon Oh, Kentaro Torisawa, Stijn De Saeger, 2013, EMNLP.

Multi-Column Convolutional Neural Networks with Causality-Attention for Why-Question Answering

Jong-Hoon Oh, Kentaro Torisawa, Canasai Kruengkrai, 2017, WSDM.

A Disaster Information Analysis System Based on Question Answering

Kentaro Torisawa, Stijn De Saeger, Julien Kloetzer, 2013 .

Event Causality Recognition Exploiting Multiple Annotators’ Judgments and Background Knowledge

Jong-Hoon Oh, Kentaro Torisawa, Ryu Iida, 2019, EMNLP.

WISDOM X, DISAANA and D-SUMM: Large-scale NLP Systems for Analyzing Textual Big Data

Junta Mizuno, Jong-Hoon Oh, Kentaro Torisawa, 2016, COLING.

Recognizing Complex Negation on Twitter

Junta Mizuno, Kentaro Inui, Kentaro Torisawa, 2015, PACLIC.

A comparative study of solvers in Amazons endgames

Hiroyuki Iida, Bruno Bouzy, Julien Kloetzer, 2008, 2008 IEEE Symposium On Computational Intelligence and Games.

INVADER wins Amazons Tournament

Julien Kloetzer, 2009 .

Dispositif permettant de collecter des expressions contradictoires et programme informatique associé

Jong-Hoon Oh, Kentaro Torisawa, Julien Kloetzer, 2014 .

BERTAC: Enhancing Transformer-based Language Models with Adversarially Pretrained Convolutional Neural Networks

Jong-Hoon Oh, Kentaro Torisawa, Ryu Iida, 2021, ACL.

Supervised Recognition of Entailment Between Patterns

Kentaro Torisawa, Stijn De Saeger, Julien Kloetzer, 2012 .