Commonsense Reasoning
Modeling Event Background for If Then Commonsense Reasoning Using Context aware Variational Autoencoder
... event-centered commonsense knowl- edge has attracted much attention (Chambers and Jurafsky, 2008; Segers et ...explainable commonsense reasoning (Sap et ...
10
KagNet: Knowledge Aware Graph Networks for Commonsense Reasoning
... Commonsense knowledge and reasoning. There is a recent surge of novel large-scale datasets for testing machine commonsense with various focuses, such as situation prediction ( SWAG ) (Zellers et al., ...
11
Attention Is (not) All You Need for Commonsense Reasoning
... Attracted by the success of recently proposed lan- guage representation model BERT, in this pa- per, we introduce a simple yet effective re- implementation of BERT for commonsense rea- soning. Specifically, we ...
6
Explain Yourself! Leveraging Language Models for Commonsense Reasoning
... tween sentences and how that interacts with world knowledge. For example, the Winograd Schemas (Winograd, 1972) and challenges derived from that format (Levesque et al., 2012; McCann et al., 2018; Wang et al., 2018) have ...
11
Cracking the Contextual Commonsense Code: Understanding Commonsense Reasoning Aptitude of Deep Contextual Representations
... various commonsense NLP tasks, but we lack a con- crete understanding of the capability of these ...BERT’s commonsense rep- resentation ...various commonsense features in its embedding space, but is ...
12
CoRg: Commonsense Reasoning Using a Theorem Prover and Machine Learning
... As stated in Sect. 2, machine learning, especially neural networks are state-of-the-art, when solving commonsense reasoning tasks. Other than the participants of the SemEval task using recurrent neural ...
7
Social IQa: Commonsense Reasoning about Social Interactions
... for commonsense reasoning about social ...collect commonsense questions along with correct and incorrect answers about social interac- tions, using a new framework that mitigates stylistic artifacts ...
11
Cosmos QA: Machine Reading Comprehension with Contextual Commonsense Reasoning
... Most of the reading comprehension approaches apply attention to capture the correlation between paragraph, question and each candidate answer and tend to select the answer which is the most semantically closed to the ...
11
Unsupervised Deep Structured Semantic Models for Commonsense Reasoning
... Commonsense reasoning is fundamental to natural language ...learning commonsense knowledge from a large amount of raw text via unsupervised ...classic commonsense reasoning tasks, Wino- ...
10
Open domain Commonsense Reasoning Using Discourse Relations from a Corpus of Weblog Stories
... of commonsense reasoning has long been a bottleneck within artificial ...of commonsense knowledge pertaining to states, events, and their causal and temporal relation- ...
9
Some dimensions of commonsense reasoning about the physical world : an empirical study of the structure of students' conceptualisations
... Studies in the History and Philosophy of Science will make it possible to relate commonsense reasoning about entities in Science to the ways in which the scient[r] ...
393
A Hybrid Neural Network Model for Commonsense Reasoning
... Figure 1: Architecture of the hybrid model for commonsense reasoning. The model consists of two component models, a masked language model (MLM) and a semantic similarity model (SSM). The input includes the ...
9
Do Nuclear Submarines Have Nuclear Captains? A Challenge Dataset for Commonsense Reasoning over Adjectives and Objects
... To understand how to build truly intelligent agents, we should strive to create datasets with as little exploitable bias as possible, and to fur- ther investigate the landscape of current perfor- mance. We contribute a ...
7
Simulation-Based Approach to Efficient Commonsense Reasoning in Very Large Knowledge Bases
... Cognitive systems must reason with large bodies of general knowledge to perform complex tasks in the real world. However, due to the intractability of reasoning in large, ex- pressive knowledge bases (KBs), many ...
8
Commonsense reasoning about processes: a study of ideas about reversibility.
... Another two aspects can be analysed: firstly, the notably goal-like feature of this event for the Brazilian 16/17 group is shown by the positive frequency of replies to Phrases 7 - 'fo[r] ...
423
Eliciting and understanding commonsense reasoning about motion.
... The other four cases of reformulation were all concerned with a re-definition of the limits of applicability of the rules. Two kinds of such changes were found. One involved a complete [r] ...
246
Knowledge Representation for Commonsense Reasoning with Text
... In KT, verbs are attached to the main ontology at the node T E M P O R A L because information concerning the temporality of situations described in a sentence is encoded on the verb as [r] ...
22
Event2Mind: Commonsense Inference on Events, Intents, and Reactions
... by reasoning about the human user’s mental state based on the events the user has experienced, with- out the user explicitly stating how they are feel- ...cial commonsense reasoning goes far beyond ...
11
Reasoning with Heterogeneous Knowledge for Commonsense Machine Comprehension
... with commonsense knowl- edge is critical for natural language un- ...for commonsense machine comprehension mostly only focus on one specific kind of knowledge, neglecting the fact that commonsense ...
12
Commonsense inference in human robot communication
... Natural language communication between ma- chines and humans are still constrained. The article addresses a gap in natural language un- derstanding about actions, specifically that of understanding commands. We propose a ...
9