Answering English questions by computer: a survey

By Robert F. Simmons. 1965

Subfields: Natural Language Processing, Question Answering & Reading Comprehension

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Citations in the corpus

Achieving Human Parity on Visual Question Answering (2021, background): “Research on question answering (QA) dates back to 1960s, when the QA systems were basically based on the rule-based methods and a large number of hand-crafted rules are designed to conduct query understanding and database searching [70].”
Systematic review automation technologies (2014, background): “Question answering systems have been in development since the 1960s [37].”
Retrieve Fast, Rerank Smart: Cooperative and Joint Approaches for Improved Cross-Modal Retrieval (2021, background): “While to the best of our knowledge this has not been proposed for cross-modal settings, it has a long history in NLP, where Yates et al. (2021) date it back to the 1960s (Simmons, 1965).”
Learning Semantic Parsers: An Important but Under-Studied Problem (2004, background): “From the very early days of natural-language processing (NLP) research, answering natural-language questions in a particular domain was a key task (Green et al. 1963; Simmons 1965; 1970).”
Synthetic Data Augmentation for Zero-Shot Cross-Lingual Question Answering (2020, methodology): “We explore two Question Generation scenarios: (i) requiring only SQuAD data; and (ii) using a translator tool to obtain translated versions of SQuAD.”
A survey on question answering technology from an information retrieval perspective (2011, background): “The classification is quite successful with mean average precision values between 70– 95.4% for the different questions with expected answer types trained and tested on different English datasets from TREC-8, 9 and 10.”
Natural language question answering: the view from here (2001, background): “In fact, Simmons (1965) begins a survey article ‘Answering English Questions by Computer’ with the statement that his paper reviews no fewer than (cid:12)fteen implemented English language question-answering systems built over the preceding (cid:12)ve years.”