DE eng

Search in the Catalogues and Directories

Page: 1 2 3 4 5...52
Hits 1 – 20 of 1.025

1
Jibes & Delights: A Dataset of Targeted Insults and Compliments to Tackle Online Abuse​ ...
BASE
Show details
2
Bird’s Eye: Probing for Linguistic Graph Structures with a Simple Information-Theoretic Approach ...
BASE
Show details
3
Phrase-Level Action Reinforcement Learning for Neural Dialog Response Generation ...
BASE
Show details
4
Correcting Chinese Spelling Errors with Phonetic Pre-training ...
BASE
Show details
5
PLOME: Pre-training with Misspelled Knowledge for Chinese Spelling Correction ...
BASE
Show details
6
Including Signed Languages in Natural Language Processing ...
BASE
Show details
7
When is Char Better Than Subword: A Systematic Study of Segmentation Algorithms for Neural Machine Translation ...
BASE
Show details
8
To POS Tag or Not to POS Tag: The Impact of POS Tags on Morphological Learning in Low-Resource Settings ...
BASE
Show details
9
Superbizarre Is Not Superb: Derivational Morphology Improves BERT's Interpretation of Complex Words ...
BASE
Show details
10
HIT - A Hierarchically Fused Deep Attention Network for Robust Code-mixed Language Representation ...
BASE
Show details
11
Minimally-Supervised Morphological Segmentation using Adaptor Grammars with Linguistic Priors ...
BASE
Show details
12
LearnDA: Learnable Knowledge-Guided Data Augmentation for Event Causality Identification ...
BASE
Show details
13
Quotation Recommendation and Interpretation Based on Transformation from Queries to Quotations ...
Abstract: Read paper: https://www.aclanthology.org/2021.acl-short.95 Abstract: To help individuals express themselves better, quotation recommendation is receiving growing attention. Nevertheless, most prior efforts focus on modeling quotations and queries separately and ignore the relationship between the quotations and the queries. In this work, we introduce a transformation matrix that directly maps the query representations to quotation representations. To better learn the mapping relationship, we employ a mapping loss that minimizes the distance of two semantic spaces (one for quotation and another for mapped-query). Furthermore, we explore using the words in history queries to interpret the figurative language of quotations, where quotation-aware attention is applied on top of history queries to highlight the indicator words. Experiments on two datasets in English and Chinese show that our model outperforms previous state-of-the-art models. ...
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/xprq-jp17
https://underline.io/lecture/25710-quotation-recommendation-and-interpretation-based-on-transformation-from-queries-to-quotations
BASE
Hide details
14
How Did This Get Funded?! Automatically Identifying Quirky Scientific Achievements ...
BASE
Show details
15
Minimax and Neyman–Pearson Meta-Learning for Outlier Languages ...
BASE
Show details
16
CLINE: Contrastive Learning with Semantic Negative Examples for Natural Language Understanding ...
BASE
Show details
17
Towards Protecting Vital Healthcare Programs by Extracting Actionable Knowledge from Policy ...
BASE
Show details
18
DYPLOC: Dynamic Planning of Content Using Mixed Language Models for Text Generation ...
BASE
Show details
19
Automated Concatenation of Embeddings for Structured Prediction ...
BASE
Show details
20
QASR: QCRI Aljazeera Speech Resource A Large Scale Annotated Arabic Speech Corpus ...
BASE
Show details

Page: 1 2 3 4 5...52

Catalogues
0
0
0
0
0
0
0
Bibliographies
0
0
0
0
0
0
0
0
0
Linked Open Data catalogues
0
Online resources
0
0
0
0
Open access documents
1.025
0
0
0
0
© 2013 - 2024 Lin|gu|is|tik | Imprint | Privacy Policy | Datenschutzeinstellungen ändern