Complementary Document Representations for Information Retrieval
نویسندگان
چکیده
منابع مشابه
Document Clustering Algorithms, Representations and Evaluation for Information Retrieval
Digital collections of data continue to grow exponentially as the information age continues to infiltrate every aspect of society. These sources of data take many different forms such as unstructured text on the world wide web, sensor data, images, video, sound, results of scientific experiments and customer profiles for marketing. Clustering is an unsupervised learning approach that groups sim...
متن کاملUsing Semantic Document Representations to Increase Performance in Information Retrieval
..........................................................................................................................................II CONTENTS ......................................................................................................................................... III ACKNOWLEDGMENTS.............................................................................................
متن کاملExploiting Sophisticated Representations for Document Retrieval
The use of NLP techniques for document classification has not produced significant improvements in performance within the standard term weighting statistical assignment paradigm (Fagan 1987; Lewis, 1992bc; Buckley, 1993). This perplexing fact needs both an explanation and a solution if the power of recently developed NLP techniques are to be successfully applied in IR. A novel method for adding...
متن کاملCombining Document Representations for Prior-art Retrieval
In this paper we report on our participation in the CLEF-IP 2011 prior art retrieval task. We investigated whether adding syntactic information in the form of dependency triples to a bag-of-words representation could lead to improvements in patent retrieval. In our experiments, we investigated this effect on the title, abstract and first 400 words of the description section. The experiments wer...
متن کاملSubword unit representations for spoken document retrieval
This paper investigates the feasibility of using subword unit representations for spoken document retrieval as an alternative to using words generated by either keyword spotting or word recognition. Our investigation is motivated by the observation that word-based retrieval approaches face the problem of either having to know the keywords to search for a priori, or requiring a very large recogn...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: The International FLAIRS Conference Proceedings
سال: 2021
ISSN: 2334-0762
DOI: 10.32473/flairs.v34i1.128528