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1201
Paths to Relation Extraction through Semantic Structure ...
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1202
Rule Augmented Unsupervised Constituency Parsing ...
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1203
Transition-based Bubble Parsing: Improvements on Coordination Structure Prediction ...
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1204
Dodrio: Exploring Transformer Models with Interactive Visualization ...
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1205
Vyākarana A Colorless Green Benchmark for Syntactic Evaluation in Indic Languages ...
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1206
What if This Modified That? Syntactic Interventions with Counterfactual Embeddings ...
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1207
Annotations Matter: Leveraging Multi-task Learning to Parse UD and SUD ...
Abstract: Read paper: https://www.aclanthology.org/2021.findings-acl.305 Abstract: Using multiple treebanks to improve parsing performance has shown positive results. However, to what extent similar, yet competing annotation decisions play in parser behavior is unclear. We investigate this within a multi-task learning (MTL) dependency parser setup on two parallel treebanks, UD and SUD, which, while possessing similar annotation schemes, differ in specific linguistic annotation preferences. We perform a set of experiments with different MTL architectural choices, comparing performance across various input embeddings. We find languages tend to pattern in lose typological associations, but generally the performance within an MTL setting is lower than single model baseline parsers for each annotation scheme. The main contributing factor seems to be the competing syntactic annotation information shared between treebanks in an MTL setting, which is shown in experiments against differently annotated treebanks.This suggests ...
Keyword: Computational Linguistics; Condensed Matter Physics; Deep Learning; Electromagnetism; FOS Physical sciences; Information and Knowledge Engineering; Neural Network; Semantics
URL: https://dx.doi.org/10.48448/qa0p-z888
https://underline.io/lecture/26396-annotations-matter-leveraging-multi-task-learning-to-parse-ud-and-sud
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1208
The Limitations of Limited Context for Constituency Parsing ...
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1209
Effective Batching for Recurrent Neural Network Grammars ...
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1210
Factorising Meaning and Form for Intent-Preserving Paraphrasing ...
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1211
Infusing Finetuning with Semantic Dependencies ...
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1212
7D: Syntax: Tagging, Chunking, and Parsing #1 ...
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1213
OntoGUM: Evaluating Contextualized SOTA Coreference Resolution on 12 More Genres ...
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1214
Topicalization in Language Models: A Case Study on Japanese ...
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1215
An In-depth Study on Internal Structure of Chinese Words ...
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1216
To Point or Not to Point: Understanding How Abstractive Summarizers Paraphrase Text ...
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1217
ChineseBERT: Chinese Pretraining Enhanced by Glyph and Pinyin Information ...
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1218
When Do You Need Billions of Words of Pretraining Data? ...
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1219
Bridge-Based Active Domain Adaptation for Aspect Term Extraction ...
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1220
Recursive Tree-Structured Self-Attention for Answer Sentence Selection ...
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