[PDF][PDF] Excitatory or inhibitory: A new semantic orientation extracts contradiction and causality from the web

C Hashimoto, K Torisawa, S De Saeger… - Proceedings of the …, 2012 - aclanthology.org
We propose a new semantic orientation, Excitation, and its automatic acquisition method.
Excitation is a semantic property of predicates that classifies them into excitatory, inhibitory …

Knowlywood: Mining activity knowledge from hollywood narratives

N Tandon, G De Melo, A De, G Weikum - Proceedings of the 24th ACM …, 2015 - dl.acm.org
Despite the success of large knowledge bases, one kind of knowledge that has not received
attention so far is that of human activities. An example of such an activity is proposing to …

Textual entailment recognition apparatus, textual entailment recognition method, and computer-readable recording medium

M Tsuchida, K Ishikawa, T Onishi - US Patent 8,762,132, 2014 - Google Patents
Matsuyoshi, Suguru, etal. A database of relations between predicate argument structures for
recognizing textual entailment and contra diction.” Universal Communication, 2008. ISUC08 …

Script induction as association rule mining

A Belyy, B Van Durme - Proceedings of the First Joint Workshop …, 2020 - aclanthology.org
We show that the count-based Script Induction models of Chambers and Jurafsky (2008)
and Jans et al.(2012) can be unified in a general framework of narrative chain likelihood …

[PDF][PDF] A Large Scale Database of Strongly-related Events in Japanese.

T Shibata, S Kohama, S Kurohashi - LREC, 2014 - lrec-conf.org
The knowledge about the relation between events is quite useful for coreference resolution,
anaphora resolution, and several NLP applications such as dialogue system. This paper …

Conversational response re-ranking based on event causality and role factored tensor event embedding

S Tanaka, K Yoshino, K Sudoh, S Nakamura - arXiv preprint arXiv …, 2019 - arxiv.org
We propose a novel method for selecting coherent and diverse responses for a given
dialogue context. The proposed method re-ranks response candidates generated from …

An approach to extraction of causal chains among events in multiple documents

H Sawamura, I Kobayashi - The 6th International Conference …, 2012 - ieeexplore.ieee.org
In this paper, we aim to extract causal relations in multiple documents and then overlook the
whole causal chains among the events described in the documents. In order to extract …

An adaptive semantic descriptive model for multi-document representation to enhance generic summarization

NA Dief, AE Al-Desouky, AA Eldin… - International Journal of …, 2017 - World Scientific
Due to the increasing accessibility of online data and the availability of thousands of
documents on the Internet, it becomes very difficult for a human to review and analyze each …

Event centric approaches in natural language processing

YJ Huang - 2021 - repository.kulib.kyoto-u.ac.jp
Humans use natural language to communicate with others about the events they observe. In
the form of news articles, blog posts, or even tweets, an overwhelmingly large amount of …

Commonsense knowledge acquisition and applications

N Tandon - 2016 - publikationen.sulb.uni-saarland.de
Computers are increasingly expected to make smart decisions based on what humans
consider commonsense. This would require computers to understand their environment …