DE eng

Search in the Catalogues and Directories

Hits 1 – 18 of 18

1
Dependency Patterns of Complex Sentences and Semantic Disambiguation for Abstract Meaning Representation Parsing ...
BASE
Show details
2
One Semantic Parser to Parse Them All: Sequence to Sequence Multi-Task Learning on Semantic Parsing Datasets ...
BASE
Show details
3
Modeling Sense Structure in Word Usage Graphs with the Weighted Stochastic Block Model ...
BASE
Show details
4
InFillmore: Frame-Guided Language Generation with Bidirectional Context ...
BASE
Show details
5
Overcoming Poor Word Embeddings with Word Definitions ...
BASE
Show details
6
Learning Embeddings for Rare Words Leveraging Internet Search Engine and Spatial Location Relationships ...
BASE
Show details
7
Evaluating Universal Dependency Parser Recovery of Predicate Argument Structure via CompChain Analysis ...
BASE
Show details
8
ParsFEVER : a Dataset for Farsi Fact Extraction and Verification ...
BASE
Show details
9
Did the Cat Drink the Coffee? Challenging Transformers with Generalized Event Knowledge ...
BASE
Show details
10
Script Parsing with Hierarchical Sequence Modelling ...
BASE
Show details
11
Teach the Rules, Provide the Facts: Targeted Relational-knowledge Enhancement for Textual Inference ...
Abstract: We present InferBert, a method to enhance transformer-based inference models with relevant relational knowledge. Our approach facilitates learning generic inference patterns requiring relational knowledge (e.g. inferences related to hypernymy) during training, while injecting on-demand the relevant relational facts (e.g. pangolin is an animal) at test time. We apply InferBERT to the NLI task over a diverse set of inference types (hypernymy, location, color, and country of origin), for which we collected challenge datasets. In this setting, InferBert succeeds to learn general inference patterns, from a relatively small number of training instances, while not hurting performance on the original NLI data and substantially outperforming prior knowledge enhancement models on the challenge data. It further applies its inferences successfully at test time to previously unobserved entities. InferBert is computationally more efficient than most prior methods, in terms of number of parameters, memory consumption and ...
Keyword: Computational Linguistics; Data Management System; FOS Languages and literature; Linguistics; Natural Language Processing; Semantics
URL: https://dx.doi.org/10.48448/05ak-j010
https://underline.io/lecture/29793-teach-the-rules,-provide-the-facts-targeted-relational-knowledge-enhancement-for-textual-inference
BASE
Hide details
12
Multilingual Neural Semantic Parsing for Low-Resourced Languages ...
BASE
Show details
13
Inducing Language-Agnostic Multilingual Representations ...
BASE
Show details
14
Denoising Word Embeddings by Averaging in a Shared Space ...
BASE
Show details
15
Semantic shift in social networks ...
BASE
Show details
16
Evaluating a Joint Training Approach for Learning Cross-lingual Embeddings with Sub-word Information without Parallel Corpora on Lower-resource Languages ...
BASE
Show details
17
NUS-IDS at CASE 2021 Task 1: Improving Multilingual Event Sentence Coreference Identification with Linguistic Information ...
BASE
Show details
18
Can Transformer Langauge Models Predict Psychometric Properties? ...
BASE
Show details

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
18
0
0
0
0
© 2013 - 2024 Lin|gu|is|tik | Imprint | Privacy Policy | Datenschutzeinstellungen ändern