2 |
Semantic Structural Decomposition for Neural Machine Translation ...
|
|
|
|
BASE
|
|
Show details
|
|
3 |
SemEval-2019 Task 1: Cross-lingual Semantic Parsing with UCCA ...
|
|
|
|
BASE
|
|
Show details
|
|
5 |
Universal Dependency Parsing with a General Transition-Based DAG Parser ...
|
|
|
|
BASE
|
|
Show details
|
|
6 |
SemEval 2019 Shared Task: Cross-lingual Semantic Parsing with UCCA - Call for Participation ...
|
|
|
|
BASE
|
|
Show details
|
|
8 |
Simple and Effective Text Simplification Using Semantic and Neural Methods ...
|
|
|
|
BASE
|
|
Show details
|
|
10 |
BLEU is Not Suitable for the Evaluation of Text Simplification ...
|
|
|
|
BASE
|
|
Show details
|
|
11 |
A Transition-Based Directed Acyclic Graph Parser for UCCA ...
|
|
|
|
Abstract:
We present the first parser for UCCA, a cross-linguistically applicable framework for semantic representation, which builds on extensive typological work and supports rapid annotation. UCCA poses a challenge for existing parsing techniques, as it exhibits reentrancy (resulting in DAG structures), discontinuous structures and non-terminal nodes corresponding to complex semantic units. To our knowledge, the conjunction of these formal properties is not supported by any existing parser. Our transition-based parser, which uses a novel transition set and features based on bidirectional LSTMs, has value not just for UCCA parsing: its ability to handle more general graph structures can inform the development of parsers for other semantic DAG structures, and in languages that frequently use discontinuous structures. ... : 16 pages; Accepted as long paper at ACL2017 ...
|
|
Keyword:
Computation and Language cs.CL; FOS Computer and information sciences
|
|
URL: https://dx.doi.org/10.48550/arxiv.1704.00552 https://arxiv.org/abs/1704.00552
|
|
BASE
|
|
Hide details
|
|
12 |
Automatic Selection of Context Configurations for Improved Class-Specific Word Representations ...
|
|
|
|
BASE
|
|
Show details
|
|
13 |
Automatic Selection of Context Configurations for Improved Class-Specific Word Representations
|
|
Rappoport, Ari; Reichart, Roi; Korhonen, Anna-Leena. - : Association for Computational Linguistics, 2017. : https://arxiv.org/pdf/1608.05528.pdf, 2017. : Proceedings of the 21st Conference on Computational Natural Language Learning (CoNLL 2017), 2017
|
|
BASE
|
|
Show details
|
|
14 |
Automatic Selection of Context Configurations for Improved Class-Specific Word Representations ...
|
|
|
|
BASE
|
|
Show details
|
|
15 |
Don’t Let Me Be #Misunderstood: Linguistically Motivated Algorithm for Predicting the Popularity of Textual Memes
|
|
|
|
In: Proceedings of the International AAAI Conference on Web and Social Media; Vol. 9 No. 1 (2015): Ninth International AAAI Conference on Web and Social Media ; 2334-0770 ; 2162-3449 (2015)
|
|
BASE
|
|
Show details
|
|
|
|