Question answering nlp

• [DOC File]ONTOLOGY-DRIVEN MULTI-SOURCE QUESTION …

  https://info.5y1.org/question-answering-nlp_1_4edbb2.html

  3.3.3 Natural Language Processing (NLP) Engine. This component forms the backbone of SemanticQA as its main task is to map the contents of the NL question that was built in the previous component to ontology entities prior to attempting to answer it.

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• [DOC File]Techniques for Anaphora Resolution - Cornell …

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  2.1 Relevance to NLP. From the NLP point of view, anaphora resolution is required in most problems such as question-answering, information extraction, text summarization, dialogue interpretation systems, etc. Thus to a large extent, successful end-to-end systems require a successful anaphora resolution module.

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• [DOC File]Academic Report for IJCNLP-08

  https://info.5y1.org/question-answering-nlp_1_ab029f.html

  The final day of the main conference saw sessions with focus on Question Answering, Ontologies and Linguistic Resources, Event/ Sentence Relation and Statistical Models for NLP. The Question Answering session featured papers using both stochastic as well as corpus-based methods while the session on Event/Sentence Relation had a paper on the ...

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• [DOC File]Q/A RoadMap Document - NIST

  https://info.5y1.org/question-answering-nlp_1_beea8c.html

  Research in the area of Open-Domain Question Answering generates a lot of interest both from the NLP community and from the end-users of this technology, either lay users or professional information analysts. Open-Domain Question Answering is a complex task, that needs a formal theory and well-defined evaluation methods.

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• [DOC File]Aliaksei Bondarionok - Lucky

  https://info.5y1.org/question-answering-nlp_1_f471f8.html

  Partially it is solved by contemporary keyword-based search engines such as Google, Yahoo, MSN and the like. However a more powerful approach is provided by so-called question answering systems (QAS), which make use of natural language processing (NLP) techniques and …

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