Striving for optimal relevance when answering questions.
نویسندگان
چکیده
When people are asked "Do you have the time?" they can answer in a variety of ways, such as "It is almost 3", "Yeah, it is quarter past two", or more precisely as in "It is now 1:43". We present the results of four experiments that examined people's real-life answers to questions about the time. Our hypothesis, following previous research findings, was that people strive to make their answers optimally relevant for the addressee, which in many cases allows people to give rounded, and not exact, time responses. Moreover, analyses of the non-numeral words, hesitations, and latencies of people's verbal responses to time questions reveal important insights into the dynamics of speaking to achieve optimal relevance. People include discourse markers, hesitation marks, like "uh" and "um", and pauses when answering time questions to maximize the cognitive effects (e.g., a rounded answer is adequate) listeners can infer while minimizing the cognitive effort required to infer these effects. This research provides new empirical evidence on how relevance considerations shape collaborative language use.
منابع مشابه
ارزیابی منابع اطلاعاتی پزشکی مبتنی بر شواهد براساس میزان پاسخدهی به پرسشهای بالینی
Introduction: This study was to identify the best accessible electronic information resources for finding answers to clinical questions in Iranian National Medical Digital Library. Methods: 20 clinical questions were randomly selected from four areas: prevention and treatment, diagnosis, etiology and prognosis from American National Library of Medicine (NLM). The keywords were searched in info...
متن کاملExploring Document Content with XML to Answer Questions
CL Research participated in the question answering track in TREC 2004, submitting runs for the main task, the document relevance task, and the relationship task. The tasks were performed using the Knowledge Management System (KMS), which provides a single interface for question answering, text summarization, information extraction, and document exploration. These tasks are based on creating and...
متن کاملTowards Retrieving Relevant Information for Answering Clinical Comparison Questions
This paper introduces the task of automatically answering clinical comparison questions using MEDLINE abstracts. In the beginning, clinical comparison questions and the main challenges in recognising and extracting their components are described. Then, different strategies for retrieving MEDLINE abstracts are shown. Finally, the results of an initial experiment judging the relevance of MEDLINE ...
متن کاملSummarizing Relevant Information for Question-Answering Using Hybrid Relevance Analysis and Surface Feature Salience
Much research for question-answering aims to answer factoid, definitional and biographical questions. In most cases, the answers are given as a name, date, quantity, and so on. In this paper, we try to merge techniques of multidocument summarization and question-answering to generate a brief, well-organized fluent summary to provide more relevant information for the purpose of answering real-wo...
متن کاملA Monolithic Approach and a Type-by-Type Approach for Non-Factoid Question-answering - Yokohama National University at NTCIR-6 QAC
In order to process non-factoid questions in NTCIR6 QAC, we introduced two types of approaches. First one has a monolithic architecture that retrieves answer passages related to a question using lexical chain. The other one has a type-by-type architecture and consists of four subsystems: i) the subsystem for definitional and other-type questions, ii) the subsystem for why-type questions, iii) t...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
- Cognition
دوره 106 1 شماره
صفحات -
تاریخ انتشار 2008