Add to ORKGAbstract This paper describes a knowledge-based methodology of mining textual answers into large collections of texts. We present SOMBRERO, a knowledge processing module implemented in the LASSO question answering system. The module bootstraps question taxonomies, used for the search and validation of answers. Answer evaluation is produced through an expandable set of abduction rules
With the development of large-scale knowledge bases (KBs), knowledge-based question answering (KBQA)...
Research on Question Answering has produced an arsenal of useful techniques for detecting answers th...
Research on question answering dates back to the 1960s but has more recently been revisited as part ...
Recent advances in question answering from text have shown that information retrieval, natural langu...
This paper describes a methodology of answering questions by using information retrieved from very l...
This paper describes the integration of several knowledge-based natural language processing tech-niq...
This paper presents a roadmap of current promising research tracks in question answering with a focu...
Today's paradigm of information search is in the midst of a significant transformation. Question ans...
Answer validation is the ability to automatically judge the relevance of a candidate answer with res...
In mining technology the text mining plays a vital role in today’s life. Text mining is cluster data...
Natural language has long been the most prominent tool for humans to disseminate, learn and create k...
Question Answering (QA) systems try to find precise answers to natural language questions. QA extrac...
Question Answering (QA) has gained significant attention in recent years, with transformer-based mod...
Abstract—By combining statistical analyses and informa-tion retrieval techniques, an efficient way f...
This paper describes a lexical system developed for the main task of Question Answering for Machine ...
With the development of large-scale knowledge bases (KBs), knowledge-based question answering (KBQA)...
Research on Question Answering has produced an arsenal of useful techniques for detecting answers th...
Research on question answering dates back to the 1960s but has more recently been revisited as part ...
Recent advances in question answering from text have shown that information retrieval, natural langu...
This paper describes a methodology of answering questions by using information retrieved from very l...
This paper describes the integration of several knowledge-based natural language processing tech-niq...
This paper presents a roadmap of current promising research tracks in question answering with a focu...
Today's paradigm of information search is in the midst of a significant transformation. Question ans...
Answer validation is the ability to automatically judge the relevance of a candidate answer with res...
In mining technology the text mining plays a vital role in today’s life. Text mining is cluster data...
Natural language has long been the most prominent tool for humans to disseminate, learn and create k...
Question Answering (QA) systems try to find precise answers to natural language questions. QA extrac...
Question Answering (QA) has gained significant attention in recent years, with transformer-based mod...
Abstract—By combining statistical analyses and informa-tion retrieval techniques, an efficient way f...
This paper describes a lexical system developed for the main task of Question Answering for Machine ...
With the development of large-scale knowledge bases (KBs), knowledge-based question answering (KBQA)...
Research on Question Answering has produced an arsenal of useful techniques for detecting answers th...
Research on question answering dates back to the 1960s but has more recently been revisited as part ...