Exploration of term dependence in sentence retrieval

Aspects of sentence retrieval

ACM SIGIR Forum ◽

10.1145/1328964.1328990 ◽

2007 ◽

Vol 41 (2) ◽

pp. 127-127 ◽

Cited By ~ 2

Author(s):

Vanessa Murdock

Keyword(s):

Sentence Retrieval

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Target-Topic Aware Doc2Vec for Short Sentence Retrieval from User Generated Content

Proceedings of the 21st International Conference on Information Integration and Web-based Applications & Services ◽

10.1145/3366030.3366126 ◽

2019 ◽

Author(s):

Kosuke Kurihara ◽

Yoshiyuki Shoji ◽

Sumio Fujita ◽

Martin J. Dürst

Keyword(s):

User Generated Content ◽

Short Sentence ◽

Sentence Retrieval

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Improving Sentence Retrieval Using Sequence Similarity

Applied Sciences ◽

10.3390/app10124316 ◽

2020 ◽

Vol 10 (12) ◽

pp. 4316 ◽

Cited By ~ 1

Author(s):

Ivan Boban ◽

Alen Doko ◽

Sven Gotovac

Keyword(s):

Question Answering ◽

Sequence Similarity ◽

Novelty Detection ◽

Document Retrieval ◽

Language Modeling ◽

Information Need ◽

Partial Matching ◽

Retrieval Technique ◽

Sentence Retrieval ◽

Using Data

Sentence retrieval is an information retrieval technique that aims to find sentences corresponding to an information need. It is used for tasks like question answering (QA) or novelty detection. Since it is similar to document retrieval but with a smaller unit of retrieval, methods for document retrieval are also used for sentence retrieval like term frequency—inverse document frequency (TF-IDF), BM 25 , and language modeling-based methods. The effect of partial matching of words to sentence retrieval is an issue that has not been analyzed. We think that there is a substantial potential for the improvement of sentence retrieval methods if we consider this approach. We adapted TF-ISF, BM 25 , and language modeling-based methods to test the partial matching of terms through combining sentence retrieval with sequence similarity, which allows matching of words that are similar but not identical. All tests were conducted using data from the novelty tracks of the Text Retrieval Conference (TREC). The scope of this paper was to find out if such approach is generally beneficial to sentence retrieval. However, we did not examine in depth how partial matching helps or hinders the finding of relevant sentences.

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