Journal article 348 views
Incremental Composition in Distributional Semantics
Journal of Logic, Language and Information, Volume: 30, Issue: 2, Pages: 379 - 406
Swansea University Author: Julian Hough
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DOI (Published version): 10.1007/s10849-021-09337-8
Abstract
Despite the incremental nature of Dynamic Syntax (DS), the semantic grounding of it remains that of predicate logic, itself grounded in set theory, so is poorly suited to expressing the rampantly context-relative nature of word meaning, and related phenomena such as incremental judgements of similar...
Published in: | Journal of Logic, Language and Information |
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ISSN: | 0925-8531 1572-9583 |
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Springer Science and Business Media LLC
2021
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URI: | https://cronfa.swan.ac.uk/Record/cronfa64926 |
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v2 64926 2023-11-07 Incremental Composition in Distributional Semantics 082d773ae261d2bbf49434dd2608ab40 Julian Hough Julian Hough true false 2023-11-07 SCS Despite the incremental nature of Dynamic Syntax (DS), the semantic grounding of it remains that of predicate logic, itself grounded in set theory, so is poorly suited to expressing the rampantly context-relative nature of word meaning, and related phenomena such as incremental judgements of similarity needed for the modelling of disambiguation. Here, we show how DS can be assigned a compositional distributional semantics which enables such judgements and makes it possible to incrementally disambiguate language constructs using vector space semantics. Building on a proposal in our previous work, we implement and evaluate our model on real data, showing that it outperforms a commonly used additive baseline. In conclusion, we argue that these results set the ground for an account of the non-determinism of lexical content, in which the nature of word meaning is its dependence on surrounding context for its construal. Journal Article Journal of Logic, Language and Information 30 2 379 406 Springer Science and Business Media LLC 0925-8531 1572-9583 1 6 2021 2021-06-01 10.1007/s10849-021-09337-8 http://dx.doi.org/10.1007/s10849-021-09337-8 COLLEGE NANME Computer Science COLLEGE CODE SCS Swansea University Another institution paid the OA fee 2023-12-21T16:46:49.8865526 2023-11-07T20:00:57.6041967 Faculty of Science and Engineering School of Mathematics and Computer Science - Computer Science Matthew Purver 0000-0003-2297-1273 1 Mehrnoosh Sadrzadeh 0000-0002-5863-7835 2 Ruth Kempson 0000-0002-5096-3812 3 Gijs Wijnholds 4 Julian Hough 5 |
title |
Incremental Composition in Distributional Semantics |
spellingShingle |
Incremental Composition in Distributional Semantics Julian Hough |
title_short |
Incremental Composition in Distributional Semantics |
title_full |
Incremental Composition in Distributional Semantics |
title_fullStr |
Incremental Composition in Distributional Semantics |
title_full_unstemmed |
Incremental Composition in Distributional Semantics |
title_sort |
Incremental Composition in Distributional Semantics |
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082d773ae261d2bbf49434dd2608ab40 |
author_id_fullname_str_mv |
082d773ae261d2bbf49434dd2608ab40_***_Julian Hough |
author |
Julian Hough |
author2 |
Matthew Purver Mehrnoosh Sadrzadeh Ruth Kempson Gijs Wijnholds Julian Hough |
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Journal article |
container_title |
Journal of Logic, Language and Information |
container_volume |
30 |
container_issue |
2 |
container_start_page |
379 |
publishDate |
2021 |
institution |
Swansea University |
issn |
0925-8531 1572-9583 |
doi_str_mv |
10.1007/s10849-021-09337-8 |
publisher |
Springer Science and Business Media LLC |
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Faculty of Science and Engineering |
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Faculty of Science and Engineering |
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Faculty of Science and Engineering |
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School of Mathematics and Computer Science - Computer Science{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Mathematics and Computer Science - Computer Science |
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http://dx.doi.org/10.1007/s10849-021-09337-8 |
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description |
Despite the incremental nature of Dynamic Syntax (DS), the semantic grounding of it remains that of predicate logic, itself grounded in set theory, so is poorly suited to expressing the rampantly context-relative nature of word meaning, and related phenomena such as incremental judgements of similarity needed for the modelling of disambiguation. Here, we show how DS can be assigned a compositional distributional semantics which enables such judgements and makes it possible to incrementally disambiguate language constructs using vector space semantics. Building on a proposal in our previous work, we implement and evaluate our model on real data, showing that it outperforms a commonly used additive baseline. In conclusion, we argue that these results set the ground for an account of the non-determinism of lexical content, in which the nature of word meaning is its dependence on surrounding context for its construal. |
published_date |
2021-06-01T16:46:50Z |
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1785910746481164288 |
score |
11.031595 |