Refine
Document Type
- Conference Proceeding (4)
- Article (2)
- Part of a Book (1)
Language
- English (7)
Has Fulltext
- yes (7)
Is part of the Bibliography
- no (7) (remove)
Keywords
- Deutsch (3)
- Korpus <Linguistik> (3)
- Ambiguität (2)
- Elektronisches Wörterbuch (2)
- Nominalisierung (2)
- dictionary design (2)
- text production (2)
- user guidance (2)
- Annotation (1)
- Benutzerführung (1)
Publicationstate
- Veröffentlichungsversion (7) (remove)
Reviewstate
- Peer-Review (7) (remove)
Publisher
Between classical symbolic word sense disambiguation (wsd) using explicit deep semantic representations of sentences and texts and statistical wsd using word co-occurrence information, there is a recent tendency towards mediating methods. Similar to so-called lightweight semantics (Marek, 2009) we suggest to only make sparse use of semantic information. We describe an approximation model based upon flat underspecified discourse representation structures (FUDRSs, cf. Eberle, 2004) that weighs knowledge about context structure, lexical semantic restrictions and interpretation preferences. We give a catalogue of guidelines for human annotation of texts by corresponding indicators. Using this, the reliability of an analysis tool that implements the model can be tested with respect to annotation precision and disambiguation prediction and how both can be improved by bootstrapping the knowledge of the system using corpus information. For the balanced test corpus considered the recognition rate of the preferred reading is 80-90% (depending on the smoothing of parse errors).
Corpus-based identification and disambiguation of reading indicators for German nominalizations
(2010)
Corpus data is often structurally and lexically ambiguous; corpus extraction methodologies thus must be made aware of ambiguities. Therefore, given an extraction task, all relevant ambiguities must be identified. To resolve these ambiguities, contextual data responsible for one or another reading is to be considered. In the context of our present work, German -ung-nominalizations and their sortal readings are under examination. A number of these nominalizations may be read as an event or a result, depending on the semantic group they belong to. Here, we concentrate on nominalizations of verbs of saying (henceforth: "verba dicendi"), identify their context partners and their influence on the sortal reading of the nominalizations in question. We present a tool which calculates the sortal reading of such nominalizations and thus may improve not only corpus extraction, but also e.g. machine translation. Lastly, we describe successful attempts to identify the correct sortal reading, conclusions and future work.
This paper describes general requirements for evaluating and documenting NLP tools with a focus on morphological analysers and the design of a Gold Standard. It is argued that any evaluation must be measurable and documentation thereof must be made accessible for any user of the tool. The documentation must be of a kind that it enables the user to compare different tools offering the same service, hence the descriptions must contain measurable values. A Gold Standard presents a vital part of any measurable evaluation process, therefore, the corpus-based design of a Gold Standard, its creation and problems that occur are reported upon here. Our project concentrates on SMOR, a morphological analyser for German that is to be offered as a web-service. We not only utilize this analyser for designing the Gold Standard, but also evaluate the tool itself at the same time. Note that the project is ongoing, therefore, we cannot present final results.
Electronic dictionaries should support dictionary users by giving them guidance in text production and text reception, alongside a user-definable offer of lexicographic data for cognitive purposes. In this article, we sketch the principles of an interactive and dynamic electronic dictionary aimed at text production and text reception guiding users in innovative ways, especially with respect to difficult, complicated or confusing issues. The lexicographer has to do a very careful analysis of the nature of the possible problems to suggest an optimal solution for a specific problem. We are of the opinion that there are numerous complex situations where users need more detailed support than currently available in e-dictionaries, enabling them to make valid and correct choices. For highly complex situations, we suggest guidance through a decision tree-like device. We assume that the solutions proposed here are not specific to one language only but can, after careful analysis, be applied to e-dictionaries in different languages across the world.
An interactive, dynamic electronic dictionary aimed at text production should guide the user in innovative ways, especially in respect of difficult, complicated or confusing issues. This paper proposes a design for bilingual dictionaries intended to guide users in text production; we focus on complex phenomena of the interaction between lexis and grammar. It will be argued that a dictionary aimed at guiding the user in lexical selection should implement a type of “decision algorithm”. In addition, it should flag incorrect solutions and should warn against possible wrong generalisations of (foreign) language learners. Our proposals will be illustrated with examples from several languages, as the design principles are generally applicable. The copulative construction which is regarded as the most complicated grammatical structure in Northern Sotho will be analyzed in more detail and presented as a case in point.
Learning from students. On the design and usability of an e-dictionary of mathematical graph theory
(2022)
We created a prototype of an electronic dictionary for the mathematical domain of graph theory. We evaluate our prototype and compare its effectiveness in task-based tests with that of Wikipedia. Our dictionary is based on a corpus; the terms and their definitions were automatically extracted and annotated by experts (cf. Kruse/Heid 2020). The dictionary is bilingual, covering German and English; it gives equivalents, definitions and semantically related terms. For the implementation of the dictionary, we used LexO (Bellandi et al. 2017). The target group of the dictionary are students of mathematics who attend lectures in German and work with English resources. We carried out tests to understand which items the students search for when they work on graph-theoretical tasks. We ran the same test twice, with comparable student groups, either allowing Wikipedia as an information source or our dictionary. The dictionary seems to be especially helpful for students who already have a vague idea of a term because they can use the resource to check if their idea is right.
This paper reports about current practice in a staged approach to the introduction of NLP principles and techniques for students of information science (IIM) and of international communication and translation (ICT) as part of their curricula. As most of these students are rather not familiar with computer science or, in the case of IIM students, linguistics, we see them as comparable with students of the humanities. We follow a blended learning strategy with lectures, online materials, tutorials, and screencasts. In the first two terms, we focus on linguistics and its formalisation, NLP tools and applications are then introduced from the third term on. The lectures are combined with tutorials and - since the summer term 2017 - with a set of screencasts.