The KLE's Subtopic Mining System for the NTCIR-9 INTENT Task
نویسندگان
چکیده
This paper describes our subtopic mining system for the NTCIR-9 INTENT task. We propose a method that mines subtopics for each topic only using the given Chinese query log. Our method finds possible subtopics and estimates scores of them based on interest and clearness. In the Chinese subtopic mining, our best values of D#-nDCG were 0.3823 for l = 10, 0.4413 for l = 20 and 0.4241 for l = 30.
منابع مشابه
The KLE's Subtopic Mining System for the NTCIR-10 INTENT-2 Task
This paper describes our subtopic mining system for the NTCIR10 INTENT-2 task. We propose a method that mines subtopics using simple patterns and the hierarchical structure of candidate strings based on the clusters of relevant documents using the provided web documents and official query suggestions. We extracted various candidate strings using simple patterns based on new query-types and POS ...
متن کاملThe KLE's Subtopic Mining System for the NTCIR-11 IMine Task
This paper describes our subtopic mining system for the NTCIR-11 IMine task. We propose a method that mines second-level subtopics using simple patterns and a hierarchical structure of subtopic candidates based on sets of relevant documents, and combine the provided resources considering their characteristics. Our system generates firstlevel subtopics using keywords in second-level subtopics, a...
متن کاملNTU Approaches to Subtopic Mining and Document Ranking at NTCIR-9 Intent Task
Users express their information needs in terms of queries to find the relevant documents on the web. However, users’ queries are usually short, so that search engines may not have enough information to determine their exact intents. How to diversify web search results to cover users’ possible intents as wide as possible is an important research issue. In this paper, we will propose several subt...
متن کاملOverview of the NTCIR-9 INTENT Task
This is an overview of the NTCIR-9 INTENT task, which comprises the Subtopic Mining and the Document Ranking subtasks. The INTENT task attracted participating teams from seven different countries/regions – 16 teams for Subtopic Mining and 8 teams for Document Ranking. The Subtopic Mining subtask received 42 Chinese runs and 14 Japanese runs; the Document Ranking subtask received 24 Chinese runs...
متن کاملUniversity of Glasgow at the NTCIR-9 Intent task: Experiments with Terrier on Subtopic Mining and Document Ranking
We describe our participation in the subtopic mining and document ranking subtasks of the NTCIR-9 Intent task, for both Chinese and Japanese languages. In the subtopic mining subtask, we experiment with a novel data-driven approach for ranking reformulations of an ambiguous query. In the document ranking subtask, we deploy our state-ofthe-art xQuAD framework for search result diversification.
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:
دوره شماره
صفحات -
تاریخ انتشار 2011