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1
Dependency Patterns of Complex Sentences and Semantic Disambiguation for Abstract Meaning Representation Parsing ...
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2
One Semantic Parser to Parse Them All: Sequence to Sequence Multi-Task Learning on Semantic Parsing Datasets ...
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3
Modeling Sense Structure in Word Usage Graphs with the Weighted Stochastic Block Model ...
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4
InFillmore: Frame-Guided Language Generation with Bidirectional Context ...
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5
Overcoming Poor Word Embeddings with Word Definitions ...
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6
Learning Embeddings for Rare Words Leveraging Internet Search Engine and Spatial Location Relationships ...
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7
Evaluating Universal Dependency Parser Recovery of Predicate Argument Structure via CompChain Analysis ...
Abstract: Accurate recovery of predicate-argument structure from a Universal Dependency (UD) parse is central to downstream tasks such as extraction of semantic roles or event representations. This study introduces compchains, a categorization of the hierarchy of predicate dependency relations present within a UD parse. Accuracy of compchain classification serves as a proxy for measuring accurate recovery of predicate-argument structure from sentences with embedding. We analyzed the distribution of compchains in three UD English treebanks, EWT, GUM and LinES, revealing that these treebanks are sparse with respect to sentences with predicate-argument structure that includes predicate-argument embedding. We evaluated the CoNLL 2018 Shared Task UDPipe (v1.2) baseline (dependency parsing) models as compchain classifiers for the EWT, GUMS and LinES UD treebanks. Our results indicate that these three baseline models exhibit poorer performance on sentences with predicate-argument structure with more than one level of ...
Keyword: Computational Linguistics; Data Management System; FOS Languages and literature; Linguistics; Natural Language Processing; Semantics
URL: https://underline.io/lecture/29792-evaluating-universal-dependency-parser-recovery-of-predicate-argument-structure-via-compchain-analysis
https://dx.doi.org/10.48448/cy78-5j21
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8
ParsFEVER : a Dataset for Farsi Fact Extraction and Verification ...
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9
Did the Cat Drink the Coffee? Challenging Transformers with Generalized Event Knowledge ...
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10
Script Parsing with Hierarchical Sequence Modelling ...
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11
Teach the Rules, Provide the Facts: Targeted Relational-knowledge Enhancement for Textual Inference ...
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12
Multilingual Neural Semantic Parsing for Low-Resourced Languages ...
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13
Inducing Language-Agnostic Multilingual Representations ...
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14
Denoising Word Embeddings by Averaging in a Shared Space ...
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15
Semantic shift in social networks ...
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16
Evaluating a Joint Training Approach for Learning Cross-lingual Embeddings with Sub-word Information without Parallel Corpora on Lower-resource Languages ...
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17
NUS-IDS at CASE 2021 Task 1: Improving Multilingual Event Sentence Coreference Identification with Linguistic Information ...
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18
Can Transformer Langauge Models Predict Psychometric Properties? ...
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