Search Results for author: Collin F. Baker

Found 10 papers, 0 papers with code

Comparing Distributional and Curated Approaches for Cross-lingual Frame Alignment

no code implementations NAACL (DistCurate) 2022 Collin F. Baker, Michael Ellsworth, Miriam R. L. Petruck, Arthur Lorenzi

In addition, we begin the workshop with a small comparison of cross-lingual techniques for frame semantic alignment for one language pair (Spanish and English).

Adverbs, Surprisingly

no code implementations31 May 2023 Dmitry Nikolaev, Collin F. Baker, Miriam R. L. Petruck, Sebastian Padó

This paper begins with the premise that adverbs are neglected in computational linguistics.

Language Modelling

Frame Shift Prediction

no code implementations LREC 2022 Zheng-Xin Yong, Patrick D. Watson, Tiago Timponi Torrent, Oliver Czulo, Collin F. Baker

Frame shift is a cross-linguistic phenomenon in translation which results in corresponding pairs of linguistic material evoking different frames.

Graph Attention Translation

Exploring Crosslinguistic Frame Alignment

no code implementations LREC 2020 Collin F. Baker, Arthur Lorenzi

The FrameNet (FN) project at the International Computer Science Institute in Berkeley (ICSI), which documents the core vocabulary of contemporary English, was the first lexical resource based on Fillmore{'}s theory of Frame Semantics.

Graph Methods for Multilingual FrameNets

no code implementations WS 2017 Collin F. Baker, Michael Ellsworth

We show how English FrameNet and other Frame Semantic resources can be represented as sets of interconnected graphs of frames, frame elements, semantic types, and annotated instances of them in text.

Semantic Role Labeling Sentence

The MASC Word Sense Corpus

no code implementations LREC 2012 Rebecca J. Passonneau, Collin F. Baker, Christiane Fellbaum, Nancy Ide

The MASC project has produced a multi-genre corpus with multiple layers of linguistic annotation, together with a sentence corpus containing WordNet 3. 1 sense tags for 1000 occurrences of each of 100 words produced by multiple annotators, accompanied by indepth inter-annotator agreement data.


Empirical Comparisons of MASC Word Sense Annotations

no code implementations LREC 2012 Gerard de Melo, Collin F. Baker, Nancy Ide, Rebecca J. Passonneau, Christiane Fellbaum

We analyze how different conceptions of lexical semantics affect sense annotations and how multiple sense inventories can be compared empirically, based on annotated text.

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