Browsing Tetherless World Publications by Subject "Machine Common Sense (MCS) Multi-modal Open World Grounded Learning and Inference (MOWGLI)"

Now showing items 1-4 of 4

    • An experimental study measuring human annotator categorization agreement on commonsense sentences 

      Santos, Henrique; Kejriwal, Mayank; Mulvehill, Alice; Forbush, Gretchen; McGuinness, Deborah (Experimental Results, 2021-06-18)
      Developing agents capable of commonsense reasoning is an important goal in Artificial Intelligence (AI) research. Because commonsense is broadly defined, a computational theory that can formally categorize the various kinds ...

    • Commonsense Knowledge Mining from Term Definitions 

      Liang, Jason; McGuinness, Deborah (2021-01-02)
      Commonsense knowledge has proven to be beneficial to a variety of application areas, including question answering and natural language understanding. Previous work explored collecting commonsense knowledge triples automatically ...

    • Dimensions of Commonsense Knowledge 

      Ilievski, Filip; Oltramari, Alessandro; Ma, Kaixin; Zhang, Bin; McGuinness, Deborah; Szekely, Pedro (Knowledge-Based Systems, 2021-10-11)
      Commonsense knowledge is essential for many AI applications, including those in natural language processing, visual processing, and planning. Consequently, many sources that include commonsense knowledge have been designed ...

    • Exploring and Analyzing Machine Commonsense Benchmarks 

      Santos, Henrique; Gordon, Minor; Liang, Jason; Forbush, Gretchen; McGuinness, Deborah (2021-02-01)
      Commonsense question-answering (QA) tasks, in the form of benchmarks, are constantly being introduced for challenging and comparing commonsense QA systems. The benchmarks provide question sets that systems’ developers can ...