Search Results for author: Ulrich Heid

Found 12 papers, 0 papers with code

Detecting Paraphrases of Standard Clause Titles in Insurance Contracts

no code implementations WS 2019 Frieda Josi, Christian Wartena, Ulrich Heid

For the analysis of contract texts, validated model texts, such as model clauses, can be used to identify reused contract clauses.

Semantic Similarity Semantic Textual Similarity +1

Acquisition of semantic relations between terms: how far can we get with standard NLP tools?

no code implementations WS 2016 Ina Roesiger, Julia Bettinger, Johannes Sch{\"a}fer, Michael Dorna, Ulrich Heid

The extraction of data exemplifying relations between terms can make use, at least to a large extent, of techniques that are similar to those used in standard hybrid term candidate extraction, namely basic corpus analysis tools (e. g. tagging, lemmatization, parsing), as well as morphological analysis of complex words (compounds and derived items).

Coreference Resolution Lemmatization +2

A Lexical Resource for the Identification of ``Weak Words'' in German Specification Documents

no code implementations LREC 2016 Jennifer Krisch, Melanie Dick, Ronny Jauch, Ulrich Heid

We report on the creation of a lexical resource for the identification of potentially unspecific or imprecise constructions in German requirements documentation from the car manufacturing industry.

Analyzing and Aligning German compound nouns

no code implementations LREC 2012 Marion Weller, Ulrich Heid

In this paper, we present and evaluate an approach for the compositional alignment of compound nouns using comparable corpora from technical domains.

Lemmatization Translation

Adapting and evaluating a generic term extraction tool

no code implementations LREC 2012 Anita Gojun, Ulrich Heid, Bernd Wei{\ss}bach, Carola Loth, Insa Mingers

We designed an application for German and English data that serves as a first evaluation of the methods for terminology extraction used in the project.

Lemmatization Term Extraction

French and German Corpora for Audience-based Text Type Classification

no code implementations LREC 2012 Amalia Todirascu, Sebastian Pad{\'o}, Jennifer Krisch, Max Kisselew, Ulrich Heid

This paper presents some of the results of the CLASSYN project which investigated the classification of text according to audience-related text types.

Dependency Parsing General Classification +3

A Tool/Database Interface for Multi-Level Analyses

no code implementations LREC 2012 Kurt Eberle, Kerstin Eckart, Ulrich Heid, Boris Haselbach

Depending on the nature of a linguistic theory, empirical investigations of its soundness may focus on corpus studies related to lexical, syntactic, semantic or other phenomena.

Morphological Analysis

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