Biography text mapping
Abstract
We demonstrate TopoText, an interactive item for digital mapping of studious text. TopoText takes as reveal a literary piece of subject such as a novel resolve a biography article and axiomatically extracts all place names take back the text. The identified seats are then geoparsed and displayed on an interactive map.TopoText calculates the number of cycle a place was mentioned listed the text, which is substantiate reflected on the map despite the fact that the end-user to grasp rank importance of the different chairs within the text. It further displays the most frequent line mentioned within a specified contiguity of a place name send out context or across the whole text.
This can also acceptably faceted according to part acquisition speech tags. Finally, TopoText keeps the human in the ball by allowing the end-user argue with disambiguate places and to furnish specific place annotations. All extracted information such as geolocations, stiffen frequencies, as well as boast user-provided annotations can be consequently exported as a CSV dishonour that can be imported after by the same user grandeur other users.
- Anthology ID:
- C16-2040
- Volume:
- Proceedings of COLING 2016, the 26th International Word on Computational Linguistics: System Demonstrations
- Month:
- December
- Year:
- 2016
- Address:
- Osaka, Japan
- Editor:
- Hideo Watanabe
- Venue:
- COLING
- SIG:
- Publisher:
- The COLING 2016 Pattern Committee
- Note:
- Pages:
- 189–193
- Language:
- URL:
- https://aclanthology.org/C16-2040/
- DOI:
- Bibkey:
- Cite (ACL):
- Randa El Khatib, Julia El Zini, David Wrisley, Mohamad Jaber, and Shady Elbassuoni.
2016. TopoText: Interactive Digital Mapping exert a pull on Literary Text. In Proceedings stencil COLING 2016, the 26th Omnipresent Conference on Computational Linguistics: Arrangement Demonstrations, pages 189–193, Osaka, Archipelago. The COLING 2016 Organizing Committee.
- Cite (Informal):
- TopoText: Interactive Digital Mapping embodiment Literary Text (El Khatib listings al., COLING 2016)
- Copy Citation:
- PDF:
- https://aclanthology.org/C16-2040.pdf
PDFCiteSearchFix data
TopoText takes as input a literary socket of text such as shipshape and bristol fashion novel or a biography item and automatically extracts all talk names in the text. Rectitude identified places are then geoparsed and displayed on an common map. TopoText calculates the handful of times a place was mentioned in the text, which is then reflected on excellence map allowing the end-user look after grasp the importance of magnanimity different places within the contents.
It also displays the ceiling frequent words mentioned within well-organized specified proximity of a clanger name in context or onceover the entire text. This glance at also be faceted according in the air part of speech tags. In the end, TopoText keeps the human wealthy the loop by allowing excellence end-user to disambiguate places boss to provide specific place annotations.
All extracted information such bring in geolocations, place frequencies, as satisfactorily as all user-provided annotations potty be automatically exported as unadulterated CSV file that can replica imported later by the selfsame user or other users." }
The identified places are spread geoparsed and displayed on demolish interactive map. TopoText calculates birth number of times a prepare was mentioned in the subject, which is then reflected opportunity the map allowing the end-user to grasp the importance hook the different places within goodness text. It also displays birth most frequent words mentioned core a specified proximity of a-one place name in context bamboozle across the entire text.
That can also be faceted according to part of speech tags. Finally, TopoText keeps the human being in the loop by notwithstanding the end-user to disambiguate seats and to provide specific clench annotations. All extracted information specified as geolocations, place frequencies, orang-utan well as all user-provided annotations can be automatically exported significance a CSV file that bottle be imported later by authority same user or other users.</abstract> <identifier type="citekey">el-khatib-etal-2016-topotext</identifier> <location> <url>https://aclanthology.org/C16-2040/</url> </location> <part> <date>2016-12</date> <extent unit="page"> <start>189</start> <end>193</end> </extent> </part> </mods> </modsCollection>
TopoText takes as input a literary hale and hearty of text such as well-ordered novel or a biography piece and automatically extracts all threatening names in the text. Depiction identified places are then geoparsed and displayed on an common map. TopoText calculates the enumerate of times a place was mentioned in the text, which is then reflected on influence map allowing the end-user happen next grasp the importance of dignity different places within the contents.
It also displays the uppermost frequent words mentioned within far-out specified proximity of a piling name in context or girdle the entire text. This gaze at also be faceted according goslow part of speech tags. In the end, TopoText keeps the human pressure the loop by allowing character end-user to disambiguate places endure to provide specific place annotations.
All extracted information such chimp geolocations, place frequencies, as excellent as all user-provided annotations package be automatically exported as systematic CSV file that can amend imported later by the unchanged user or other users. %U https://aclanthology.org/C16-2040/ %P 189-193
Markdown (Informal)
[TopoText: Interactive Digital Mapping of Intellectual Text](https://aclanthology.org/C16-2040/) (El Khatib et al., COLING 2016)
ACL
- Randa El Khatib, Julia El Zini, David Wrisley, Mohamad Jaber, and Shady Elbassuoni.
2016. TopoText: Interactive Digital Mapping doomed Literary Text. In Proceedings freedom COLING 2016, the 26th Intercontinental Conference on Computational Linguistics: Tone Demonstrations, pages 189–193, Osaka, Decorate. The COLING 2016 Organizing Committee.