2006 AdvancesInOpenDomainQuestionAnswering
- (Strzalkowski & Harabagiu, 2006) ⇒ Tomek Strzalkowski, and Sanda M. Harabagiu. (2006). “Advances in Open Domain Question Answering.” Springer. ISBN:978-1-4020-4744-2
Subject Headings: Open Domain Question Answering Task, Open Domain Question Answering Algorithm.
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Book Overview
Automated question answering - the ability of a machine to answer questions, simple or complex, posed in ordinary human language - is one of today's most exciting technological developments. It has all the markings of a disruptive technology, one that is poised to displace the existing search methods and establish new standards for user-centered access to information. This book gives a comprehensive and detailed look at the current approaches to automated question answering. The level of presentation is suitable for newcomers to the field as well as for professionals wishing to study this area and/or to build practical QA systems. The book can serve as a "how-to" handbook for IT practitioners and system developers. It can also be used to teach advanced graduate courses in Computer Science, Information Science and related disciplines. The readers will acquire in-depth practical knowledge of this critical new technology.
Part 1: Approaches to Question Answering.
Some Advanced Features of LCC’s Poweranswer. A Statistical Approach for Open Domain Question Answering. Coreference in Q & A.-
Part 2: Question Processing.
Questions and Intentions. Question Answering as Dialogue with Data. Coping with Alternate Formulations of Questions and Answers.-
Part 3: Question Answering as Information Retrieval.
Sentence Ranking Using Keywords and Meta-Keywords. Question Answering by Passage Selection. Query Modulation for Web-based Question Answering.-
Part 4: Answer Extraction. Question Answering by Predictive Annotation.
Question Answering Supported by Multiple Levels of Information Extraction. How to Select an Answer String?. doi:10.1007/978-1-4020-4746-6_10
- This chapter is based on:
- (Prager et al., 2000) ⇒ John Prager, Eric Brown, Anni Coden, and Dragomir Radev. (2000). “[1].” In: Proceedings of the 23rd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2000). doi:10.1145/345508.345574
- ABSTRACT: We present in this chapter a description of the major components of a Question-Answering system which has fared well in the three TREC QA evaluations so far, and is currently participating in the ARDA AQUAINT program. Our approach centres around the technique of Predictive Annotation, in which an extended set of named entities is recognized prior to indexing, so that the semantic class labels can be indexed along with text and included in the query string. In addition we present other techniques that are employed for specific question types, such as Virtual Annotation for definition questions. We describe the Answer Selection component, which extracts and ranks answer candidates from the passages returned by the search engine based on linguistic as well as statistical features. We present numerous examples as well as quantitative evaluations.
Part 5: Evaluating Question Answering Systems.
Evaluating Question Answering System Performance. Evaluating Interactive Question Answering. Habitability in Question-Answering Systems.-
Part 6: Perspectives on Question Answering.
Question Answering: Technology for Intelligence Analysis. Reverse-Engineering Question/Answer Collections from Ordinary Text. New Directions in Question Answering.-,
| Author | volume | Date Value | title | type | journal | titleUrl | doi | note | year | |
|---|---|---|---|---|---|---|---|---|---|---|
| 2006 AdvancesInOpenDomainQuestionAnswering | Sanda M. Harabagiu Tomek Strzalkowski | Advances in Open Domain Question Answering | http://books.google.com/books?id=63d-NK4EALcC | 10.1007/978-1-4020-4746-6 | 2006 |