Zobrazeno 1 - 10
of 35
pro vyhledávání: '"Christian Wartena"'
Publikováno v:
Document Analysis and Recognition – ICDAR 2021 Workshops ISBN: 9783030861582
In order to ensure validity in legal texts like contracts and case law, lawyers rely on standardised formulations that are written carefully but also represent a kind of code with a meaning and function known to all legal experts. Using directed (acy
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::99ec5fb026010a621f97ec7a4ece0c04
Autor:
Christian Wartena
Publikováno v:
Scopus-Elsevier
This paper describes the approach of the Hochschule Hannover to the SemEval 2013 Task Evaluating Phrasal Semantics. In order to compare a single word with a two word phrase we compute various distributional similarities, among which a new similarity
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2da89bfa509e1fb74292b0b96c04fedb
Publikováno v:
IWCS (2)
We present a simple method to find topics in user reviews that accompany ratings for products or services. Standard topic analysis will perform sub-optimal on such data since the word distributions in the documents are not only determined by the topi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1a3d0568bed258366aa70fd0596b138d
Autor:
Christian Wartena
Publikováno v:
Christian Wartena
Lemmatization is a central task in many NLP applications. Despite this importance, the number of (freely) available and easy to use tools for German is very limited. To fill this gap, we developed a simple lemmatizer that can be trained on any lemmat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a11dcf14683c4507def3dc77cc0df6e2
Publikováno v:
RELATIONS@IWCS
For the analysis of contract texts, validated model texts, such as model clauses, can be used to identify used contract clauses. This paper investigates how the similarity between titles of model clauses and headings extracted from contracts can be c
Publikováno v:
Communications in Computer and Information Science ISBN: 9783319991320
DEXA Workshops
DEXA Workshops
The reuse of scientific raw data is a key demand of Open Science. In the project NOA we foster reuse of scientific images by collecting and uploading them to Wikimedia Commons. In this paper we present a text-based annotation method that proposes Wik
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0fcee020ecdbfaca1e6f0f0e76738c69
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783319769400
ECIR
ECIR
NOA is a search engine for scientific images from open access publications based on full text indexing of all text referring to the images and filtering for disciplines and image type. Images will be annotated with Wikipedia categories for better dis
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d583a6138e57d97e32581de88277e0ba
Publikováno v:
Digital Libraries for Open Knowledge ISBN: 9783030000653
TPDL
TPDL
This paper summarizes the results of a comprehensive statistical analysis on a corpus of open access articles and contained figures. It gives an insight into quantitative relationships between illustrations or types of illustrations, caption lengths,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::eb41dd1ea7f76e98bd6420c8943b8360
Autor:
Christian Wartena
Publikováno v:
Scopus-Elsevier
We compare the effect of different segmentation strategies for passage retrieval of user generated internet video. We consider retrieval of passages for rather abstract and complex queries that go beyond finding a certain object or constellation of o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8e1f01c21e3c2b1f4f166b182ff6a836