Relation Classification

29 papers with code ยท Natural Language Processing
Subtask of Relation Extraction

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Latest papers without code

FewRel 2.0: Towards More Challenging Few-Shot Relation Classification

16 Oct 2019

We present FewRel 2. 0, a more challenging task to investigate two aspects of few-shot relation classification models: (1) Can they adapt to a new domain with only a handful of instances?

DOMAIN ADAPTATION FEW-SHOT RELATION CLASSIFICATION

Type-aware Convolutional Neural Networks for Slot Filling

1 Oct 2019

In particular, we explore different ways of integrating the named entity types of the relation arguments into a neural network for relation classification, including a joint training and a structured prediction approach.

COREFERENCE RESOLUTION RELATION CLASSIFICATION SLOT FILLING STRUCTURED PREDICTION

Argumentative Relation Classification as Plausibility Ranking

19 Sep 2019

We formulate argumentative relation classification (support vs. attack) as a text-plausibility ranking task.

RELATION CLASSIFICATION

Informing Unsupervised Pretraining with External Linguistic Knowledge

5 Sep 2019

Unsupervised pretraining models have been shown to facilitate a wide range of downstream applications.

LANGUAGE MODELLING MULTI-TASK LEARNING RELATION CLASSIFICATION

Zero-shot transfer for implicit discourse relation classification

WS 2019

Automatically classifying the relation between sentences in a discourse is a challenging task, in particular when there is no overt expression of the relation.

IMPLICIT DISCOURSE RELATION CLASSIFICATION TRANSFER LEARNING

TDDiscourse: A Dataset for Discourse-Level Temporal Ordering of Events

WS 2019

Prior work on temporal relation classification has focused extensively on event pairs in the same or adjacent sentences (local), paying scant attention to discourse-level (global) pairs.

RELATION CLASSIFICATION

Which aspects of discourse relations are hard to learn? Primitive decomposition for discourse relation classification

WS 2019

Discourse relation classification has proven to be a hard task, with rather low performance on several corpora that notably differ on the relation set they use.

RELATION CLASSIFICATION

Discourse Relation Prediction: Revisiting Word Pairs with Convolutional Networks

WS 2019

Word pairs across argument spans have been shown to be effective for predicting the discourse relation between them.

RELATION CLASSIFICATION

Jointly Extracting Multiple Triplets with Multilayer Translation Constraints

AAAI-2019 2019

Triplets extraction is an essential and pivotal step in automatic knowledge base construction, which captures structural information from unstructured text corpus.

NAMED ENTITY RECOGNITION RELATION CLASSIFICATION