Retrieving Occurrences of Grammatical Constructions
4538Authors
nan
Abstract
AbstractFinding authentic examples of grammatical constructions is central in constructionist approaches to linguistics, language processing, and second language learning. In this paper, we address this problem as an information retrieval (IR) task. To facilitate research in this area, we built a benchmark collection by annotating the occurrences of six constructions in a Swedish corpus. Furthermore, we implemented a simple and flexible retrieval system for finding construction occurrences, in which the user specifies a ranking function using lexical-semantic similarities (lexicon-based or distributional). The system was evaluated using standard IR metrics on the new benchmark, and we saw that lexical-semantical rerankers improve significantly over a purely surface-oriented system, but must be carefully tailored for each individual construction.
Keywords
Full Content
Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers, pages 815–824, Osaka, Japan, December 11-17 2016. Retrieving Occurrences of Grammatical Constructions Anna Ehrlemark and Richard Johansson and Benjamin Lyngfelt University of Gothenburg ehrlemark@gmail.com, richard.johansson@gu.se benjamin.lyngfelt@svenska.gu.se Abstract Finding authentic examples of grammatical constructions is central in constructionist approaches to linguistics, language processing, and second language learning. In this paper, we address this problem as an information retrieval (IR) task. To facilitate research in this area, we built a benchmark collection by annotating the occurrences of six constructions in a Swedish corpus. Furthermore, we implemented a simple and flexible retrieval system for finding construction occurrences, in which the user specifies a ranking function using lexical-semantic similarities (lexicon-based or distributional). The system was evaluated using standard IR metrics on the new benchmark, and we saw that lexical-semantical rerankers improve significantly over a purely surface-oriented system, but must be carefully tailored for each individual construction. 1 Introduction Linguistic theories based on the notion of constructions are a recent development in linguistics, which has revitalized the discussion in fields such as syntax, lexicography, and argument structure theory. In particular, it is useful for describing partially schematic constructions: templatic patterns that exhibit lexical as well as syntactic properties, which are too specific to be referred to general grammar rules, but too general to be attributed to specific lexical units, which is a reason why they historically have been overlooked (Fillmore et al., 1988). These constructions are very frequent, and they are not only theoretically interesting but also important in language teaching (De Knoop and Gilquin, 2016), since they are challenging for second language learners (Prentice and Sk¨oldberg, 2011). So far, despite the importance of construction-based theory in linguistics and language pedagogy, it has seen limited adoption in natural language processing. A major impediment to their acceptance is proba- bly the lack of resources of a nontrivial size. Efforts to build inventories of this kind – constructicons – are now underway for a number of languages. The emerging practice of constructicon development, or constructicography, can be seen as a combination of construction grammar and lexicography (Fillmore et al., 2012). A crucial requirement for constructicon building is access to corpus search tools allowing constructicographers to search for occurrences of constructions: either for finding prototypical examples (Gries, 2003), or for computing statistics such as word–construction cooccurrence (Stefanowitsch and Gries, 2003). Also, for the reasons mentioned above, finding authentic examples of uses of a particular construction is also useful in language teaching situations. In this paper, we cast the task of searching for construction occurrences as an information retrieval (IR) problem. This is fruitful in construction-based research and constructicography for a number of reasons. First, while a partially schematic construction can have a surface form that is easy to describe as a structural pattern, its exact semantic properties and restrictions can be hard to capture as a clear- cut binary decision, or may not even be known a priori. This makes it natural to re-rank corpus …
Content truncated to 500 words
Labeled Text
AbstractFinding authentic examples of grammatical constructions is central in constructionist approaches to linguistics, language processing, and second language learning. In this paper, we address this problem as an information retrieval (IR) task. To facilitate research in this area, we built a benchmark collection by annotating the occurrences of six constructions in a Swedish corpus. Furthermore, we implemented a simple and flexible retrieval system for finding construction occurrences, in which the user specifies a ranking function using lexical-semantic similarities (lexicon-based or distributional). The system was evaluated using standard IR metrics on the new benchmark, and we saw that lexical-semantical rerankers improve significantly over a purely surface-oriented system, but must be carefully tailored for each individual construction.
Publication Details
- Paper ID:
- 4538
- Year:
- 2016
- Publication:
- TIPSTER
- Publication Type:
- conf
- DOI:
- nan