commonsense knowledge
Enhancing Topic to Essay Generation with External Commonsense Knowledge
... sense knowledge can contribute to generating es- says that are more novel and ...this commonsense knowledge is integrated into the generator through the dynamic memory ...
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Detecting Implicit Expressions of Sentiment in Text Based on Commonsense Knowledge
... According to the Webster dictionary ( http://www.merriam-webster.com/ ), sentiment suggests a settled opinion reflective of one’s feelings, where the term feeling is defined as the conscious subjective experience of ...
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Incorporating Structured Commonsense Knowledge in Story Completion
... ity to understand the narrative structures of a story, where the model is asked to select the correct ending from two candidates for a given story. To solve this task, both tradi- tional machine learning approaches ...
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Neural Network-based Models with Commonsense Knowledge for Machine Reading Comprehension
... The improvement of extraction and representa- tion of commonsense knowledge is only one as- pect of the work. So far we have explored the datasets and models for English language, which has enormous amount ...
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The Weltmodell: A Data-Driven Commonsense Knowledge Base
... world knowledge has been a longstanding chal- lenge in AI and ...of commonsense knowledge were based on hand-coded knowledge by groups of expert logicians (Lenat, ...based knowledge ...
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Commonsense Knowledge Mining from Pretrained Models
... of commonsense knowledge our models struggle to capture, we report the top 100 most confident predictions that receive an average score below 3 in the supplementary ...
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Automatically Deriving Event Ontologies for a CommonSense Knowledge Base
... of commonsense knowledge. Such knowledge will need to be expressed in terms that support semantic lexicons as used by parsing systems, with concept hierarchies and semantic roles, and provide ...
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WebChild 2 0 : Fine Grained Commonsense Knowledge Distillation
... commonsense knowledge. This goal poses challenges because commonsense knowl- edge is: (i) implicit and sparse, as humans tend not to explicitly express the obvious, (ii) multi- modal, as it is spread ...
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Story Ending Generation with Incremental Encoding and Commonsense Knowledge
... a knowledge base with some pre-specified semantic ...keywords. Commonsense knowledge is beneficial for many natural language tasks such as semantic reasoning and text entail- ment, which is ...
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Commonsense knowledge enhanced memory network for stance classification
... tection subtasks in tweets in supervised and weakly supervised settings. Augenstein et al. 1 used two bidirectional Recurrent Neural Network (RNN) to model both target and text for stance de- tection. However this model ...
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Automatic Evaluation of Commonsense Knowledge for Refining Japanese ConceptNet
... In this paper we present a new text-mining approach for automatic commonsense knowledge evalua- tion. “All Elements” method using both concepts and their relation achieved precision of over 70% on average ...
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Large Scale Acquisition of Commonsense Knowledge via a Quiz Game on a Dialogue System
... manual knowledge acquisition, some studies explored the use of crowdsourcing, a process that requests various tasks of non-expert workers on the ...of commonsense knowledge such as (cake, AtLo- ...
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Jeff Da at COIN Shared Task: BIG MOOD: Relating Transformers to Explicit Commonsense Knowledge
... For hyperparameter tuning with BERT, we find that grid search is the best method. We tune var- ious hyperparameters, including batch size, learn- ing rate, warmup, and epoch count (for hyperpa- rameter details, see ...
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CommonsenseQA: A Question Answering Challenge Targeting Commonsense Knowledge
... on commonsense ques- tion answering, based on knowledge encoded in C ONCEPT N ET (Speer et ...generating commonsense questions at scale by asking crowd workers to author questions that describe the ...
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Language, logic and ontology: uncovering the structure of commonsense knowledge
... of commonsense, most readers would find no difficulty in a reading for (1a) that implies John’s support for the ‘same’ activist in every ...our commonsense knowledge of how the world (the possible ...
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Commonsense knowledge acquisition and applications
... on commonsense acquisition from visual data has been limited in scale due to the processing time and limited in accuracy due to the challenges in automated image ...acquire commonsense knowledge ...
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Know2Look: Commonsense Knowledge for Visual Search
... background commonsense knowledge on query terms can significantly aid in retrieval of documents with associated ...sense knowledge pertaining to the query - as a recipe for efficient search and ...
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Event Representation Learning Enhanced with External Commonsense Knowledge
... Such commonsense knowledge is not explic- itly expressed but can be found in a knowledge base such as Event2Mind (Rashkin et ...external commonsense knowl- edge, ...
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BabyExp: Constructing a Huge Multimodal Resource to Acquire Commonsense Knowledge Like Children Do
... large-scale commonsense knowl- edge repositories required by natural language and artifi- cial intelligence applications is by letting machines learn such knowledge from large quantities of data, like ...
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Knowledgeable Reader: Enhancing Cloze Style Reading Comprehension with External Commonsense Knowledge
... the Knowledge Base Population (KBP) tracks at TAC 2013-2017, which aim at detecting specific entities from Free- ...external knowledge in a reading com- prehension, or NLU task, where the knowledge ...
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