We present ongoing work on annotating fine-grained semantic distinctions for circumstantial meanings, focusing on spatial expressions. We describe our theoretical background, and annotation process, as well as how we evaluate the results obtained. Using multiple independent annotations across the 3-million-token, genre-diverse Prague Dependency Treebank – Consolidated corpus of Czech data, we analyse inter-annotator agreement, recurrent disagreement patterns, and the limits of semantic categorization. Our results highlight the inherent vagueness of linguistic meaning. We also propose strategies for handling disagreement, such as weighted annotations, intermediate labels, and fuzzy labels that preserve annotation nuance. This work builds on the legacy of Petr Sgall and the Functional Generative Description theory that underpins the multi-layer form–meaning framework.

We introduce a substantial update of the Prague Czech-English Dependency Treebank, a parallel corpus manually annotated at the deep syntactic layer of linguistic representation. The English part consists of the Wall Street Journal (WSJ) section of the Penn Treebank. The Czech part was translated from the English source sentence by sentence. This paper gives a high level overview of the underlying linguistic theory (the so-called tectogrammatical annotation) with some details of the most important features like valency annotation, ellipsis reconstruction or coreference.

Meanings of morphological categories are an indispensable component of representation of sentence semantics. In the Prague Dependency Treebank 2.0, sentence semantics is represented as a dependency tree consisting of labeled nodes and edges. Meanings of morphological categories are captured as attributes of tree nodes; these attributes are called grammatemes. The present paper focuses on morphological meanings of verbs, i.e. on meanings of the morphological category of tense, mood, aspect etc. After several introductory remarks, seven verbal grammatemes used in the PDT 2.0 annotation scenario are briefly introduced. After that, each of the grammatemes is examined. Three verbal grammatemes of the original set were included in the new set without changes, one of the grammatemes was extended, and three of them were substituted for three new ones. The revised grammateme set is to be included in the forthcoming version of PDT (tentatively called PDT 3.0). Rules for automatic and manual assignment of the revised grammatemes are further discussed in the paper.