CX DB8: A queryable extractive summarizer and semantic search engine
Competitive Debate's increasingly technical nature has left competitors looking for tools to accelerate evidence production. We find that the unique type of extractive summarization performed by competitive debaters - summarization with a bias towards a particular target meaning - can be perfor...
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| creator | Roush, Allen |
| description | Competitive Debate's increasingly technical nature has left competitors
looking for tools to accelerate evidence production. We find that the unique
type of extractive summarization performed by competitive debaters -
summarization with a bias towards a particular target meaning - can be
performed using the latest innovations in unsupervised pre-trained text
vectorization models. We introduce CX_DB8, a queryable word-level extractive
summarizer and evidence creation framework, which allows for rapid, biasable
summarization of arbitarily sized texts. CX_DB8s usage of the embedding
framework Flair means that as the underlying models improve, CX_DB8 will also
improve. We observe that CX_DB8 also functions as a semantic search engine, and
has application as a supplement to traditional "find" functionality in programs
and webpages. CX_DB8 is currently used by competitive debaters and is made
available to the public at https://github.com/Hellisotherpeople/CX_DB8 |
| doi_str_mv | 10.48550/arxiv.2012.03942 |
| format | Article |
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looking for tools to accelerate evidence production. We find that the unique
type of extractive summarization performed by competitive debaters -
summarization with a bias towards a particular target meaning - can be
performed using the latest innovations in unsupervised pre-trained text
vectorization models. We introduce CX_DB8, a queryable word-level extractive
summarizer and evidence creation framework, which allows for rapid, biasable
summarization of arbitarily sized texts. CX_DB8s usage of the embedding
framework Flair means that as the underlying models improve, CX_DB8 will also
improve. We observe that CX_DB8 also functions as a semantic search engine, and
has application as a supplement to traditional "find" functionality in programs
and webpages. CX_DB8 is currently used by competitive debaters and is made
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looking for tools to accelerate evidence production. We find that the unique
type of extractive summarization performed by competitive debaters -
summarization with a bias towards a particular target meaning - can be
performed using the latest innovations in unsupervised pre-trained text
vectorization models. We introduce CX_DB8, a queryable word-level extractive
summarizer and evidence creation framework, which allows for rapid, biasable
summarization of arbitarily sized texts. CX_DB8s usage of the embedding
framework Flair means that as the underlying models improve, CX_DB8 will also
improve. We observe that CX_DB8 also functions as a semantic search engine, and
has application as a supplement to traditional "find" functionality in programs
and webpages. CX_DB8 is currently used by competitive debaters and is made
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looking for tools to accelerate evidence production. We find that the unique
type of extractive summarization performed by competitive debaters -
summarization with a bias towards a particular target meaning - can be
performed using the latest innovations in unsupervised pre-trained text
vectorization models. We introduce CX_DB8, a queryable word-level extractive
summarizer and evidence creation framework, which allows for rapid, biasable
summarization of arbitarily sized texts. CX_DB8s usage of the embedding
framework Flair means that as the underlying models improve, CX_DB8 will also
improve. We observe that CX_DB8 also functions as a semantic search engine, and
has application as a supplement to traditional "find" functionality in programs
and webpages. CX_DB8 is currently used by competitive debaters and is made
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| identifier | DOI: 10.48550/arxiv.2012.03942 |
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| source | arXiv.org |
| subjects | Computer Science - Computation and Language |
| title | CX DB8: A queryable extractive summarizer and semantic search engine |
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