Retrieving Occurrences of Grammatical Constructions
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.
Code (0)
등록된 구현이 없습니다.
Tasks
Information RetrievalRetrievalSimilar Papers 제목 키워드 기반
A Method for Studying Semantic Construal in Grammatical Constructions with Interpretable Contextual Embedding Spaces
We study semantic construal in grammatical constructions using large language models. First, we project contextual word embeddings into three interpretable semantic spaces, each defined by a different set of psycholingui…
ObjectPositionSentenceWord EmbeddingsA Search Tool for FrameNet Constructicon
The Berkeley FrameNet Project (BFN, https://framenet.icsi.berkeley.edu/fndrupal/) created descriptions of 73 non-core grammatical constructions, annotation of 50 of these constructions and about 1500 example sentences …
Paraphrasing of Italian Support Verb Constructions based on Lexical and Grammatical Resources
UCxn: Typologically Informed Annotation of Constructions Atop Universal Dependencies
The Universal Dependencies (UD) project has created an invaluable collection of treebanks with contributions in over 140 languages. However, the UD annotations do not tell the full story. Grammatical constructions that c…
Language models align with human judgments on key grammatical constructions
Do large language models (LLMs) make human-like linguistic generalizations? Dentella et al. (2023) ("DGL") prompt several LLMs ("Is the following sentence grammatically correct in English?") to elicit grammaticality judg…
Sentence